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545 pages, 1 unnumbered leaves of plates : 24 cm

There is a hidden intrigue in the title. CT is one of the most abstract mathematical disciplines, sometimes nicknamed "abstract nonsense". MDE is a recent trend in software development, industrially supported by standards, tools, and the status of a new "silver bullet". Surprisingly, categorical patterns turn out to be directly applicable to mathematical modeling of structures appearing in everyday MDE practice. Model merging, transformation, synchronization, and other important model management scenarios can be seen as executions of categorical specifications. Moreover, the paper aims to elucidate a claim that relationships between CT and MDE are more complex and richer than is normally assumed for "applied mathematics". CT provides a toolbox of design patterns and structural principles of real practical value for MDE. We will present examples of how an elementary categorical arrangement of a model management scenario reveals deficiencies in the architecture of modern tools automating the scenario.

There is a hidden intrigue in the title. CT is one of the most abstract mathematical disciplines, sometimes nicknamed "abstract nonsense". MDE is a recent trend in software development, industrially supported by standards, tools, and the status of a new "silver bullet". Surprisingly, categorical patterns turn out to be directly applicable to mathematical modeling of structures appearing in everyday MDE practice. Model merging, transformation, synchronization, and other important model management scenarios can be seen as executions of categorical specifications. Moreover, the paper aims to elucidate a claim that relationships between CT and MDE are more complex and richer than is normally assumed for "applied mathematics". CT provides a toolbox of design patterns and structural principles of real practical value for MDE. We will present examples of how an elementary categorical arrangement of a model management scenario reveals deficiencies in the architecture of modern tools automating the scenario.

Graphical User Interface Design Patterns (UIDP) are templates representing commonly used graphical visualizations for addressing certain HCI issues. These patterns include substantial contributions from human factors professionals, and using these patterns as widgets within the context of a GUI builder helps to ensure that key human factors concepts are quickly and correctly implemented within the code of advanced visual user interfaces. This final report describes the concept of the UIDP and discusses how this concept can be implemented to benefit both the programmer and the end user by assisting in the fast generation of error-free code that integrates human factors principles to fully support the end-user's work environment.

This paper presents the design and development of Tactile Interfaces with Enhanced Images with Patterns and Textures for Visually Impaired People. In particular, haptic interfaces uses a number of predefine tactile texture and patterns to enhance the experience of the tactile feeling of images for visually impaired people. The open source OpenCv application is used to automatically change group of colours from depth images to tactile texture and patterns. The depth images are captured with the he p of RGB-Depth cameras. The tactile images are then explored by visually impaired people with the use of haptic interfaces. The predefined textures and patterns are more easily distinguished than uniformly colors in depth images. George Kokkonis | Kostas Psannis | Christodoulos Asiminidis | Sotirios Kontogiannis "Design Tactile Interfaces with Enhanced Depth Images With Patterns and Textures for Visually Impaired People" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-1 , December 2018, URL: http://www.ijtsrd.com/papers/ijtsrd20210.pdf http://www.ijtsrd.com/engineering/computer-engineering/20210/design-tactile-interfaces-with-enhanced-depth-images-with-patterns-and-textures-for-visually-impaired-people/george-kokkonis

Name: Patterns Released by: Panda Design [ web ] Type: C64 Demo Release Date: 6 February 2010 Credits: Code  ....  radiantx of Panda Design Music  ....  radiantx of Panda Design Graphics  ....  Frost of Panda Design     radiantx of Panda Design Design  ....  Frost of Panda Design     radiantx of Panda Design Text  ....  Frost of Panda Design     radiantx of Panda Design Loader  ....  Krill of Plush Info from CSDB. Original Entry

We have implemented, tested, validated and benchmarked a scalable parallel implementations of the integral histogram algorithm critical for computer vision tasks for fast multiscale subwindow-based object searching, motion analysis and content-based image retrieval applications. Several integral histogram kernels using CUDA optimizations for many core GPUs were investigated. The integral histogram algorithm was also parallelized using the StarSs programming model in collaboration the Barcelona Supercomputing Center for several architectures including Cell/B.E., GPU and SMP. The Cell/B.E. implementation of the integral histogram using cross-weave scan and 16 bins for a 640x480 image reaches 160 fr/sec using 8 SPEs. The wavefront scan for the same sized image reaches almost 200 fr/sec but critically depends on the block size. The GPU implementation of the integral histogram was 60 times faster than the sequential CPU version for a 1K x 1K image reaching 49 fr/sec and 21 times faster for 512 x 512 images reaching 194 fr/sec. The implemented code has been delivered to AFRL for transition to other programs like CETE.

We have implemented, tested, validated and benchmarked a scalable parallel implementations of the integral histogram algorithm critical for computer vision tasks for fast multiscale subwindow-based object searching, motion analysis and content-based image retrieval applications. Several integral histogram kernels using CUDA optimizations for many core GPUs were investigated. The integral histogram algorithm was also parallelized using the StarSs programming model in collaboration the Barcelona Supercomputing Center for several architectures including Cell/B.E., GPU and SMP. The Cell/B.E. implementation of the integral histogram using cross-weave scan and 16 bins for a 640x480 image reaches 160 fr/sec using 8 SPEs. The wavefront scan for the same sized image reaches almost 200 fr/sec but critically depends on the block size. The GPU implementation of the integral histogram was 60 times faster than the sequential CPU version for a 1K x 1K image reaching 49 fr/sec and 21 times faster for 512 x 512 images reaching 194 fr/sec. The implemented code has been delivered to AFRL for transition to other programs like CETE.

Design and measurement of radiation patterns for standard [AM] broadcast stations with directional antennas [Docket 20645, R&O, FCC 76-511]

All 23 design patterns from the "Gamma, E., Helm, R., Johnson, R., & Vlissides, J. (1994). Design Patterns: Elements of Reusable Object-Oriented Software. Addison-Wesley Professional" in JavaScript.

Design patterns implemented in Java Design patterns implemented in Java Read in different language : zh , ko , fr , tr , ar , es , pt , id , ru , de , ja , vi , bn , np Introduction Design patterns are the best, formalized practices a programmer can use tosolve common problems when designing an application or system. Design patterns can speed up the development process by providing tested, provendevelopment paradigms. Reusing design patterns help prevent subtle issues that cause majorproblems, and it also improves code readability for coders and architects whoare familiar with the patterns. Getting started This site showcases Java Design Patterns. The solutions have been developed byexperienced programmers and architects from the open-source community. Thepatterns can be browsed by their high-level descriptions or by looking at theirsource code. The source code examples are well commented and can be thought of asprogramming tutorials on how to implement a specific pattern. We use the mostpopular battle-proven open-source Java technologies. Before you dive into the material, you should be familiar with various Software Design Principles . All designs should be as simple as possible. You should start with KISS, YAGNI,and Do The Simplest Thing That Could Possibly Work principles. Complexity andpatterns should only be introduced when they are needed for practicalextensibility. Once you are familiar with these concepts you can start drilling down into the available design patterns by anyof the following approaches Search for a specific pattern by name. Can't find one? Please report a new pattern here . Using tags such as Performance , Gang of Four or Data access . Using pattern categories, Creational , Behavioral , and others. Hopefully, you find the object-oriented solutions presented on this site usefulin your architectures and have as much fun learning them as we had while developing them. How to contribute If you are willing to contribute to the project you will find the relevant information inour developer wiki . We will helpyou and answer your questions in the Gitter chatroom . License This project is licensed under the terms of the MIT license. Contributors Ilkka Seppälä 📆 🚧 🖋 Subhrodip Mohanta 💻 👀 🚧 amit1307 💻 Narendra Pathai 💻 🤔 👀 Jeroen Meulemeester 💻 Joseph McCarthy 💻 Thomas 💻 Anurag Agarwal 💻 Markus Moser 🎨 💻 🤔 Sabiq Ihab 💻 Amit Dixit 💻 Piyush Kailash Chaudhari 💻 joshzambales 💻 Kamil Pietruszka 💻 Zafar Khaydarov 💻 📖 Paul Campbell 💻 Argyro Sioziou 💻 TylerMcConville 💻 saksham93 💻 nikhilbarar 💻 Colin But 💻 Ruslan 💻 Juho Kang 💻 Dheeraj Mummareddy 💻 Bernardo Sulzbach 💻 Aleksandar Dudukovic 💻 Yusuf Aytaş 💻 Mihály Kuprivecz 💻 Stanislav Kapinus 💻 GVSharma 💻 Srđan Paunović 💻 Petros G. Sideris 💻 Pramod Gupta 👀 Amarnath Chandana 💻 Anurag870 💻 📖 Wes Gilleland 💻 Harshraj Thakor 💻 Martin Vandenbussche 💻 Alexandru Somai 💻 Artur Mogozov 💻 anthony 💻 Christian Cygnus 💻 Dima Gubin 💻 Joshua Jimenez 💻 Kai Winter 💻 lbroman 💻 Przemek 💻 Prafful Agarwal 🖋 Sanket Panhale 🖋 staillebois 💻 Krisztián Nagy 💻 Alexander Ivanov 💻 Yosfik Alqadri 💻 Agustí Becerra Milà 💻 Juan Manuel Suárez 💻 Luigi Cortese 💻 Katarzyna Rzepecka 💻 adamski.pro 💻 Shengli Bai 💻 Boris 💻 Dmitry Avershin 💻 靳阳 💻 hoangnam2261 💻 Arpit Jain 💻 Jón Ingi Sveinbjörnsson 💻 Kirill Vlasov 💻 Mitchell Irvin 💻 Ranjeet 💻 PhoenixYip 💻 M Saif Asif 💻 kanwarpreet25 💻 Leon Mak 💻 Per Wramdemark 💻 Evan Sia Wai Suan 💻 AnaghaSasikumar 💻 Christoffer Hamberg 💻 Dominik Gruntz 💻 Hannes 💻 Leo Gutiérrez Ramírez 💻 Zhang WH 💻 Christopher O'Connell 💻 George Mavroeidis 💻 Hemant Bothra 💻 🎨 Kevin Peters 💻 George Aristy 💻 Mahendran Mookkiah 💻 Azureyjt 💻 gans 💻 Matt 🖋 Gopinath Langote 💻 Hoswey 💻 Amit Pandey 💻 gwildor28 🖋 田浩 🖋 Stamatis Pitsios 💻 qza 💻 Rodolfo Forte 🖋 Ankur Kaushal 💻 Ovidijus Okinskas 💻 Robert Kasperczyk 💻 Tapio Rautonen 💻 Yuri Orlov 💻 Varun Upadhyay 💻 Aditya Pal 💻 grzesiekkedzior 💻 👀 Sivasubramani M 💻 Sami Airaksinen 💻 Janne Sinivirta 💻 Boris-Chengbiao Zhou 🖋 Jacob Hein 🖋 Richard Jones 🖋 Rachel M. Carmena 🖋 Zaerald Denze Lungos 🖋 Lars Kappert 🖋 Mike Liu 🌍 Matt Dolan 💻 👀 Manan 👀 Nishant Arora 💻 Peeyush 💻 Rakesh 💻 👀 Wei Seng 💻 Ashish Trivedi 💻 洪月阳 💻 xdvrx1 👀 🤔 Bethan Palmer 💻 Toxic Dreamz 💻 Edy Cu Tjong 📖 Michał Krzywański 💻 Stefan Birkner 💻 Fedor Skvorcov 💻 samilAyoub 💻 Vladislav Golubinov 💻 Swaraj 💻 Christoph Flick 📖 Ascênio 👀 Domenico Sibilio 📖 Akash Chandwani 👀 Pavlo Manannikov 💻 Eiman 💻 Rocky 📖 Ibrahim ali abdelghany 👀 Girish Kulkarni 📖 Omar Karazoun 💻 Jeff Evans 💻 Vivek Singh 💻 siavash 💻 ruchpeanuts 📖 warp125 🌍 KHADIR Tayeb 🌍 ignite1771 💻 Halil Demir 🌍 Rohit Singh 💻 byoungju94 💻 Moustafa Farhat 🌍 Martel Richard 💻 va1m 💻 Noam Greenshtain 💻 yonghong Xu 📖 jinishavora 👀 💻 Elvys Soares 💻 zWeBrain 💻 余林颖 🌍 Alain 🌍 VR 📖 JackieNim 💻 EdisonE3 💻 Tao 💻 Juan Manuel Abate 🌍 Xenilo137 💻 Samuel Souza 💻 Marlo Henrique 🌍 AndriyPyzh 💻 karthikbhat13 💻 Morteza Adigozalpour 💻 Nagaraj Tantri 💻 Francesco Scuccimarri 💻 Conny Hansson 📖 Muklas Rahmanto 🌍 Vadim 🌍 Simran Keshri 💻 JCarlos 🌍 Ali Ghasemi 💻 Carl Dea 💻 Mozartus 🌍 Manvi Goel 📖 Anum Amin 📖 Reo Uehara 🌍 Fiordy 📖 Harshal 💻 Abhinav Vashisth 📖 Kevin 👀 💻 Shrirang 👀 💻 interactwithankush 💻 CharlieYu 💻 Leisterbecker 💻 DragonDreamer 💻 ShivanshCharak 💻 HattoriHenzo 💻 Arnab Sen 💻 MohanaRao SV 💻 Yonatan Karp-Rudin 💻 👀 Oliani 💻 Renjie LIU 💻 perfect guy 📖 xyllq999 💻 Mohamed Bilal 📖 Karshil sheth 💻 kongleong86 💻 Aitor Fidalgo Sánchez 🌍 📖 👀 Victor He 💻 Minh Nguyen 🌍 📖 yiichan 📖 Pan Sem 📖 zhoumengyks 💻 you 🌍 Thanks 🌍 LazyProgrammer 📖 Mohammed Faizan Ahmed 📖 Bruno Fernandes 💻 SammanPali 📖 Qixiang Chen 📖 Shourya Manekar 🌍 Alan 🌍 JanFidor 💻 📖 Anton Yakutovich 💻 steph88ss 📖 Yujan Ranjitkar 🌍 yusha-g 🌍 Robert Volkmann 💻 👀 Bipin Kumar Chaurasia 📖 KyleSong30 📖 u7281975 📖 harshalkhachane 💻 Tejas Singh 📖 🌍 Sudarsan Balaji 💻 Vaibhav Agrawal 📖 u7275858 💻 prasad-333 📖 JurenXu 💻 murphShaw 📖 XianWu99 📖 JoshuaSinglaANU 💻 Ricardo Ramos 🌍 Farid Zouheir 🌍 Vinícius A. B. 🌍 Stefanel Stan 💻 Prince bhati 🌍 To restore the repository download the bundle wget https://archive.org/download/github.com-iluwatar-java-design-patterns_-_2022-11-28_00-59-21/iluwatar-java-design-patterns_-_2022-11-28_00-59-21.bundle and run: git clone iluwatar-java-design-patterns_-_2022-11-28_00-59-21.bundle Source: https://github.com/iluwatar/java-design-patterns Uploader: iluwatar Upload date: 2022-11-28

Design patterns implemented in Java Design patterns implemented in Java Introduction Design patterns are the best formalized practices a programmer can use tosolve common problems when designing an application or system. Design patterns can speed up the development process by providing tested, provendevelopment paradigms. Reusing design patterns help prevent subtle issues that cause majorproblems, and it also improves code readability for coders and architects whoare familiar with the patterns. Getting started This site showcases Java Design Patterns. The solutions have been developed byexperienced programmers and architects from the open source community. The patterns can be browsed by their high level descriptions or by looking at theirsource code. The source code examples are well commented and can be thought asprogramming tutorials how to implement a specific pattern. We use the mostpopular battle-proven open source Java technologies. Before you dive into the material, you should be familiar with varioussoftware design principles. All designs should be as simple as possible. You should start with KISS, YAGNI,and Do The Simplest Thing That Could Possibly Work principles. Complexity andpatterns should only be introduced when they are needed for practicalextensibility. Once you are familiar with these concepts you can start drilling down intopatterns by any of the following approaches Using difficulty tags, Difficulty-Beginner , Difficulty-Intermediate & Difficulty-Expert . Using pattern categories, Creational , Behavioral , and others. Search for a specific pattern. Can't find one? Please report a new pattern here . Hopefully you find the object oriented solutions presented on this site usefulin your architectures and have as much fun learning them as we had developing them. How to contribute If you are willing to contribute to the project you will find the relevant information in our developer wiki . We will help you and answer your questions in the Gitter chatroom . License This project is licensed under the terms of the MIT license. To restore the repository download the bundle wget https://archive.org/download/github.com-iluwatar-java-design-patterns_-_2020-01-01_03-56-16/iluwatar-java-design-patterns_-_2020-01-01_03-56-16.bundle and run: git clone iluwatar-java-design-patterns_-_2020-01-01_03-56-16.bundle Source: https://github.com/iluwatar/java-design-patterns Uploader: iluwatar Upload date: 2020-01-01

Design patterns implemented in Java Design patterns implemented in Java Introduction Design patterns are the best formalized practices a programmer can use tosolve common problems when designing an application or system. Design patterns can speed up the development process by providing tested, provendevelopment paradigms. Reusing design patterns help prevent subtle issues that cause majorproblems, and it also improves code readability for coders and architects whoare familiar with the patterns. Getting started This site showcases Java Design Patterns. The solutions have been developed byexperienced programmers and architects from the open source community. The patterns can be browsed by their high level descriptions or by looking at theirsource code. The source code examples are well commented and can be thought asprogramming tutorials how to implement a specific pattern. We use the mostpopular battle-proven open source Java technologies. Before you dive into the material, you should be familiar with varioussoftware design principles. All designs should be as simple as possible. You should start with KISS, YAGNI,and Do The Simplest Thing That Could Possibly Work principles. Complexity andpatterns should only be introduced when they are needed for practicalextensibility. Once you are familiar with these concepts you can start drilling down intopatterns by any of the following approaches Using difficulty tags, Difficulty-Beginner , Difficulty-Intermediate & Difficulty-Expert . Using pattern categories, Creational , Behavioral , and others. Search for a specific pattern. Can't find one? Please report a new pattern here . Hopefully you find the object oriented solutions presented on this site usefulin your architectures and have as much fun learning them as we had developing them. How to contribute If you are willing to contribute to the project you will find the relevant information in our developer wiki . We will help you and answer your questions in the Gitter chatroom . License This project is licensed under the terms of the MIT license. To restore the repository download the bundle wget https://archive.org/download/github.com-iluwatar-java-design-patterns_-_2020-01-01_03-56-16/iluwatar-java-design-patterns_-_2020-01-01_03-56-16.bundle and run: git clone iluwatar-java-design-patterns_-_2020-01-01_03-56-16.bundle Source: https://github.com/iluwatar/java-design-patterns Uploader: iluwatar Upload date: 2020-01-01

MLOps community meetup #49! Last Wednesday we talked to Lak Lakshmanan, Data Analytics and AI Solutions, Google Cloud. // Abstract: Design patterns are formalized best practices to solve common problems when designing a software system. As machine learning moves from being a research discipline to a software one, it is useful to catalogue tried-and-proven methods to help engineers tackle frequently occurring problems that crop up during the ML process. In this talk, I will cover five patterns (Workflow Pipelines, Transform, Multimodal Input, Feature Store, Cascade) that are useful in the context of adding flexibility, resilience and reproducibility to ML in production. For data scientists and ML engineers, these patterns provide a way to apply hard-won knowledge from hundreds of ML experts to your own projects. Anyone designing infrastructure for machine learning will have to be able to provide easy ways for the data engineers, data scientists, and ML engineers to implement these, and other, design patterns. // Bio: Lak is the Director for Data Analytics and AI Solutions on Google Cloud. His team builds software solutions for business problems using Google Cloud's data analytics and machine learning products. He founded Google's Advanced Solutions Lab ML Immersion program and is the author of three O'Reilly books and several Coursera courses. Before Google, Lak was a Director of Data Science at Climate Corporation and a Research Scientist at NOAA. ----------- Connect With Us ✌️-------------    Join our Slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Lak on LinkedIn: https://www.linkedin.com/in/valliappalakshmanan/ Timestamps: [00:00] TWIML Con Debate announcement to be hosted by Demetrios on Friday [00:19] Should data scientists know about Kubernetes? Is it just one machine learning tool to rule them all? Or is it going to be the "best-in-class" tool? [00:35] Strong opinion of Lak about "Should data scientists know about Kubernetes?" [05:50] Lak's background into tech [08:07] Which ones you wrote in the book? Is the airport scenario yours? [09:25] Did you write ML Maturity Level from Google? [12:34] How do you know when to bring on perplexity for the sake of making things easier? [16:06] What are some of the best practices that you've seen being used in tooling?   [20:09] How did you come up with writing the book? [20:59] How did we decide that these are the patterns that we need to put in the book? [24:14] Why did I get the "audacity" to think that this is something that is worth doing? [31:29] What would be in your mind some of the hierarchy of design patterns? [38:05] Are there patterns out there that are yet to be discovered? How do you balance the exploitable vs the explorable ml patterns? [42:08] ModelOps vs MLOps [43:08] Do you feel that a DevOps engineer is better suited to make the transition into becoming a Machine Learning engineer? [46:07] Fundamental Machine Design Patterns vs Software Development Design Patterns [49:23] When you're working with the companies at Google, did you give them a toolchain and a better infrastructure or was there more to it? Did they have to rethink their corporate culture because DevOps is often mistaken as just a pure toolchain?

Design patterns implemented in Java Design patterns implemented in Java Read in different language : zh , ko , fr , tr , ar , es , pt , id , ru , de , ja , vi , bn , np Introduction Design patterns are the best, formalized practices a programmer can use tosolve common problems when designing an application or system. Design patterns can speed up the development process by providing tested, provendevelopment paradigms. Reusing design patterns help prevent subtle issues that cause majorproblems, and it also improves code readability for coders and architects whoare familiar with the patterns. Getting started This site showcases Java Design Patterns. The solutions have been developed byexperienced programmers and architects from the open-source community. Thepatterns can be browsed by their high-level descriptions or by looking at theirsource code. The source code examples are well commented and can be thought of asprogramming tutorials on how to implement a specific pattern. We use the mostpopular battle-proven open-source Java technologies. Before you dive into the material, you should be familiar with various Software Design Principles . All designs should be as simple as possible. You should start with KISS, YAGNI,and Do The Simplest Thing That Could Possibly Work principles. Complexity andpatterns should only be introduced when they are needed for practicalextensibility. Once you are familiar with these concepts you can start drilling down into the available design patterns by anyof the following approaches Search for a specific pattern by name. Can't find one? Please report a new pattern here . Using tags such as Performance , Gang of Four or Data access . Using pattern categories, Creational , Behavioral , and others. Hopefully, you find the object-oriented solutions presented on this site usefulin your architectures and have as much fun learning them as we had while developing them. How to contribute If you are willing to contribute to the project you will find the relevant information inour developer wiki . We will helpyou and answer your questions in the Gitter chatroom . License This project is licensed under the terms of the MIT license. Contributors Ilkka Seppälä 📆 🚧 🖋 Subhrodip Mohanta 💻 👀 🚧 amit1307 💻 Narendra Pathai 💻 🤔 👀 Jeroen Meulemeester 💻 Joseph McCarthy 💻 Thomas 💻 Anurag Agarwal 💻 Markus Moser 🎨 💻 🤔 Sabiq Ihab 💻 Amit Dixit 💻 Piyush Kailash Chaudhari 💻 joshzambales 💻 Kamil Pietruszka 💻 Zafar Khaydarov 💻 📖 Paul Campbell 💻 Argyro Sioziou 💻 TylerMcConville 💻 saksham93 💻 nikhilbarar 💻 Colin But 💻 Ruslan 💻 Juho Kang 💻 Dheeraj Mummareddy 💻 Bernardo Sulzbach 💻 Aleksandar Dudukovic 💻 Yusuf Aytaş 💻 Mihály Kuprivecz 💻 Stanislav Kapinus 💻 GVSharma 💻 Srđan Paunović 💻 Petros G. Sideris 💻 Pramod Gupta 👀 Amarnath Chandana 💻 Anurag870 💻 📖 Wes Gilleland 💻 Harshraj Thakor 💻 Martin Vandenbussche 💻 Alexandru Somai 💻 Artur Mogozov 💻 anthony 💻 Christian Cygnus 💻 Dima Gubin 💻 Joshua Jimenez 💻 Kai Winter 💻 lbroman 💻 Przemek 💻 Prafful Agarwal 🖋 Sanket Panhale 🖋 staillebois 💻 Krisztián Nagy 💻 Alexander Ivanov 💻 Yosfik Alqadri 💻 Agustí Becerra Milà 💻 Juan Manuel Suárez 💻 Luigi Cortese 💻 Katarzyna Rzepecka 💻 adamski.pro 💻 Shengli Bai 💻 Boris 💻 Dmitry Avershin 💻 靳阳 💻 hoangnam2261 💻 Arpit Jain 💻 Jón Ingi Sveinbjörnsson 💻 Kirill Vlasov 💻 Mitchell Irvin 💻 Ranjeet 💻 PhoenixYip 💻 M Saif Asif 💻 kanwarpreet25 💻 Leon Mak 💻 Per Wramdemark 💻 Evan Sia Wai Suan 💻 AnaghaSasikumar 💻 Christoffer Hamberg 💻 Dominik Gruntz 💻 Hannes 💻 Leo Gutiérrez Ramírez 💻 Zhang WH 💻 Christopher O'Connell 💻 George Mavroeidis 💻 Hemant Bothra 💻 🎨 Kevin Peters 💻 George Aristy 💻 Mahendran Mookkiah 💻 Azureyjt 💻 gans 💻 Matt 🖋 Gopinath Langote 💻 Hoswey 💻 Amit Pandey 💻 gwildor28 🖋 田浩 🖋 Stamatis Pitsios 💻 qza 💻 Rodolfo Forte 🖋 Ankur Kaushal 💻 Ovidijus Okinskas 💻 Robert Kasperczyk 💻 Tapio Rautonen 💻 Yuri Orlov 💻 Varun Upadhyay 💻 Aditya Pal 💻 grzesiekkedzior 💻 👀 Sivasubramani M 💻 Sami Airaksinen 💻 Janne Sinivirta 💻 Boris-Chengbiao Zhou 🖋 Jacob Hein 🖋 Richard Jones 🖋 Rachel M. Carmena 🖋 Zaerald Denze Lungos 🖋 Lars Kappert 🖋 Mike Liu 🌍 Matt Dolan 💻 👀 Manan 👀 Nishant Arora 💻 Peeyush 💻 Rakesh 💻 👀 Wei Seng 💻 Ashish Trivedi 💻 洪月阳 💻 xdvrx1 👀 🤔 Bethan Palmer 💻 Toxic Dreamz 💻 Edy Cu Tjong 📖 Michał Krzywański 💻 Stefan Birkner 💻 Fedor Skvorcov 💻 samilAyoub 💻 Vladislav Golubinov 💻 Swaraj 💻 Christoph Flick 📖 Ascênio 👀 Domenico Sibilio 📖 Akash Chandwani 👀 Pavlo Manannikov 💻 Eiman 💻 Rocky 📖 Ibrahim ali abdelghany 👀 Girish Kulkarni 📖 Omar Karazoun 💻 Jeff Evans 💻 Vivek Singh 💻 siavash 💻 ruchpeanuts 📖 warp125 🌍 KHADIR Tayeb 🌍 ignite1771 💻 Halil Demir 🌍 Rohit Singh 💻 byoungju94 💻 Moustafa Farhat 🌍 Martel Richard 💻 va1m 💻 Noam Greenshtain 💻 yonghong Xu 📖 jinishavora 👀 💻 Elvys Soares 💻 zWeBrain 💻 余林颖 🌍 Alain 🌍 VR 📖 JackieNim 💻 EdisonE3 💻 Tao 💻 Juan Manuel Abate 🌍 Xenilo137 💻 Samuel Souza 💻 Marlo Henrique 🌍 AndriyPyzh 💻 karthikbhat13 💻 Morteza Adigozalpour 💻 Nagaraj Tantri 💻 Francesco Scuccimarri 💻 Conny Hansson 📖 Muklas Rahmanto 🌍 Vadim 🌍 Simran Keshri 💻 JCarlos 🌍 Ali Ghasemi 💻 Carl Dea 💻 Mozartus 🌍 Manvi Goel 📖 Anum Amin 📖 Reo Uehara 🌍 Fiordy 📖 Harshal 💻 Abhinav Vashisth 📖 Kevin 👀 💻 Shrirang 👀 💻 interactwithankush 💻 CharlieYu 💻 Leisterbecker 💻 DragonDreamer 💻 ShivanshCharak 💻 HattoriHenzo 💻 Arnab Sen 💻 MohanaRao SV 💻 Yonatan Karp-Rudin 💻 👀 Oliani 💻 Renjie LIU 💻 perfect guy 📖 xyllq999 💻 Mohamed Bilal 📖 Karshil sheth 💻 kongleong86 💻 Aitor Fidalgo Sánchez 🌍 📖 👀 Victor He 💻 Minh Nguyen 🌍 📖 yiichan 📖 Pan Sem 📖 zhoumengyks 💻 you 🌍 Thanks 🌍 LazyProgrammer 📖 Mohammed Faizan Ahmed 📖 Bruno Fernandes 💻 SammanPali 📖 Qixiang Chen 📖 Shourya Manekar 🌍 Alan 🌍 JanFidor 💻 📖 Anton Yakutovich 💻 steph88ss 📖 Yujan Ranjitkar 🌍 yusha-g 🌍 Robert Volkmann 💻 👀 Bipin Kumar Chaurasia 📖 KyleSong30 📖 u7281975 📖 harshalkhachane 💻 Tejas Singh 📖 🌍 Sudarsan Balaji 💻 Vaibhav Agrawal 📖 u7275858 💻 prasad-333 📖 JurenXu 💻 murphShaw 📖 XianWu99 📖 JoshuaSinglaANU 💻 Ricardo Ramos 🌍 Farid Zouheir 🌍 Vinícius A. B. 🌍 Stefanel Stan 💻 Prince bhati 🌍 To restore the repository download the bundle wget https://archive.org/download/github.com-iluwatar-java-design-patterns_-_2022-11-29_00-39-00/iluwatar-java-design-patterns_-_2022-11-29_00-39-00.bundle and run: git clone iluwatar-java-design-patterns_-_2022-11-29_00-39-00.bundle Source: https://github.com/iluwatar/java-design-patterns Uploader: iluwatar Upload date: 2022-11-29

The need for a range to measure the effectiveness of ships' radiating systems is described. A three-step long-range plan is presented for the establishment of such a range. Special consideration is given for to minimum cost, particularly in the initial phase. A design is given for this phase in which the key units are presented in detail. Readily available commercial or standard navy units are specified wherever possible. options are presented and suggestions for future extension of range are included.

xx, 382 p. : 24 cm. +

xx, 382 p. : 24 cm. +

xx, 382 p. : 24 cm. +

Business Model Design Patterns Wiki dumped with WikiTeam tools.

This handbook examines the relationship between school buildings and educational performance. Following the introductory chapter, chapter 2 presents findings from empirical studies that have examined the building/performance issue. Research has demonstrated that the physical setting has both direct and mediated effects on prosocial and achievement outcomes. Chapter 3 presents an ecological model that accounts for physical, psychological, and social environmental factors that affect student outcomes. The fourth chapter offers an analysis based on a review of empirical research, architectural literature, and educational reform literature to inductively develop a set of 27 design patterns. Two patterns based on environment-behavior research are highlighted--small schools and well-defined activity pockets. Chapter 5 discusses implications from the educational reform literature. The complete set of 27 patterns is presented in the sixth chapter. Chapter 7 presents an example that uses patterns to create a prototypical design for a new type of educational facility. The final chapter focuses on the earlier stages of the facility development process, those of feasibility and planning. A reconceptualization of an existing educational facility planning model is offered. A total of 42 figures and 1 table are included. (LMI)

This handbook examines the relationship between school buildings and educational performance. Following the introductory chapter, chapter 2 presents findings from empirical studies that have examined the building/performance issue. Research has demonstrated that the physical setting has both direct and mediated effects on prosocial and achievement outcomes. Chapter 3 presents an ecological model that accounts for physical, psychological, and social environmental factors that affect student outcomes. The fourth chapter offers an analysis based on a review of empirical research, architectural literature, and educational reform literature to inductively develop a set of 27 design patterns. Two patterns based on environment-behavior research are highlighted--small schools and well-defined activity pockets. Chapter 5 discusses implications from the educational reform literature. The complete set of 27 patterns is presented in the sixth chapter. Chapter 7 presents an example that uses patterns to create a prototypical design for a new type of educational facility. The final chapter focuses on the earlier stages of the facility development process, those of feasibility and planning. A reconceptualization of an existing educational facility planning model is offered. A total of 42 figures and 1 table are included. (LMI)

This handbook examines the relationship between school buildings and educational performance. Following the introductory chapter, chapter 2 presents findings from empirical studies that have examined the building/performance issue. Research has demonstrated that the physical setting has both direct and mediated effects on prosocial and achievement outcomes. Chapter 3 presents an ecological model that accounts for physical, psychological, and social environmental factors that affect student outcomes. The fourth chapter offers an analysis based on a review of empirical research, architectural literature, and educational reform literature to inductively develop a set of 27 design patterns. Two patterns based on environment-behavior research are highlighted--small schools and well-defined activity pockets. Chapter 5 discusses implications from the educational reform literature. The complete set of 27 patterns is presented in the sixth chapter. Chapter 7 presents an example that uses patterns to create a prototypical design for a new type of educational facility. The final chapter focuses on the earlier stages of the facility development process, those of feasibility and planning. A reconceptualization of an existing educational facility planning model is offered. A total of 42 figures and 1 table are included. (LMI)

A curated list of software and architecture related design patterns. Awesome Software and Architectural Design Patterns A curated list of software and architecture related design patterns. Software design pattern - A general, reusable solution to a commonly occurring problem within a given context in software design. It is a description or template for how to solve a problem that can be used in many different situations. Contents Programming language design patterns General Architecture Cloud Architecture Serverless Architecture Micro services & Distributed Systems Internet of things Big Data Databases and storage Docker and DevOps Mobile Front End Development Security Programming Language Design Patterns AngularJS design patterns C# design-patterns design-patterns-for-human - ultra simplified explanation to design patterns. Design Patterns Library C++ design-patterns Closure design-patterns Go design-patterns Java sourcemaking - patterns and anti patterns. oodesign - patterns catalog with UML diagrams. design-patterns effective-java patterns - patterns from the Effective Java book. Design patterns implemented in Java Effective-Java-3rd-Joshua-Bloch JavaScript es6 design patterns humans - ultra simplified explanation to design patterns. design-patterns design patterns by addy osmani Kotlin design-patterns Node Real world design patterns with Node.js Node.js Design Patterns Object Oriented Design-Patterns-Elements-Reusable-Object-Oriented Head-First-Design-Patterns-Brain-Friendly Object Design Style Guide PHP humans - ultra simplified explanation to design patterns. design-patterns Python design-patterns PyPattyrn - A simple library for implementing common design patterns. Django Design Patterns and Best Practices React design-patterns react-bits reactpatterns.com Ruby design-patterns Rust design-patterns Scala design-patterns Swift design-patterns TypeScript design-patterns UML design-patterns quick reference design-patterns cheat-sheet Vue.js Vue Patterns - Useful Vue patterns, techniques, tips and tricks and curated helpful links. Elixir design-patterns the-pipeline - The Pipeline is defined by a collection of functions that take a data structure as an argument and return the same type of data structure General Architecture 10 common architectural patterns - 10 Common software architectural patterns in a nutshell. reactive design patterns - This website accompanies the book Reactive Design Patterns by Roland Kuhn. scalable System Design Patterns - Scalable system design techniques. martin fowler - Catalog of Patterns of Enterprise Application Architecture. system-design-primer - Design large-scale systems. architecting-for-reliability - Architecting for Reliability Part 1/3. InnerSource Patterns - Patterns for implementing InnerSource, the use of open source principles and practices for software development within the confines of an organization. Cloud Architecture Cloud cost hacking - Patterns for reducing cloud costs. AWS cloud design patterns - The AWS Cloud Design Patterns (CDP). Azure cloud design patterns - Building reliable, scalable, secure applications in the cloud. cloud patterns - A community site dedicated to documenting a master patterns catalog. cloud computing patterns - Cloud Computing Patterns. Google Cloud Solutions - Real business cases solutions with diagrams on GCP. saas tenant isolation strategies - Isolating Resources in a Multi-Tenant Environment design patterns for multi-tenancy - Architectural design patterns for multi-tenancy on AWS Serverless Architecture serverless architecture - Serverless Architecture: Five Design Patterns. solving problems in serverless - Patterns for Solving Problems in Serverless Architectures. serverless patterns - serverless microservice patterns for aws. serverless-reference-architectures - serverless microservice patterns with deployment scripts. serverless-patterns-collection - Serverless Patterns Collection. serverless-design-patterns-and-best-practices Micro services & Distributed Systems microservices - A pattern language for microservices. microservices-anti patterns - Microservices antipatterns and pitfalls. 12factor - The twelve-factor methodology. microservices-sync-vs-async - Microservices patterns, synchronous and asynchronous. message-queues - Comparing-message-queue-architectures. enterprise Integration Patterns - Patterns and Best Practices for Enterprise Integration. martinfowler - Patterns of Distributed Systems. Internet of things iot-communication-patterns - Strengths and Weaknesses of IoT Communication Patterns. design-patterns-for-iot - A Design Pattern Framework for IoT Architecture. Big Data mapreduce-patterns - Map-reduce patterns. streaming-realtime-analytics - 13 Stream Processing Patterns for building Streaming and Realtime Applications. Databases and Storage SQL database tenancy patterns - Multi-tenant SaaS database tenancy patterns databaseanswers - Industry-specific SQL Data Models in 50 categories. database-programmer - Table-design-patterns. red-gate - five simple database design errors you should avoid. talend - Data model design best practices. sqlcheck - Anti-patterns in SQL queries. Data warehouse patterns - ETL and ELT design patterns for lake house architecture using Amazon Redshift NOSQL nosql resilience patterns - Practical NoSQL resilience design pattern for the enterprise. nosql-patterns - Pragmatic Programming Techniques. mongodb - Mongodb design patterns. MongoDB Applied Design Patterns DynamoDB design patterns - Advnaced design patterns for Amazon DynamoDB Redis design patterns Redis applied design patterns - Redis Applied Design Patterns book Storage storage patterns - Comparing your on-premises storage patterns with AWS Storage services S3 Design Patterns - Best Practices Design Patterns: Optimizing Amazon S3 Performance DevOps & containers containerspatterns - There are a Thousand Ways to Use Containers. kubernetes - Kubernetes Production Patterns. container-design-patterns - Container Design Patterns for Kubernetes Pods Design. best-practices-for-shell-scripts - Best practices for shell scripts. kubernetes patterns - Presentation around the book kubernetes paterns. kubernetes patterns book cdk patterns - cdk patterns. CDK Construct Catalog - CDK construct catalog. Mobile IOS ios-architecture-patterns Android design-patterns-for-android - Common Design Patterns for Android. mvc-mvp-and-mvvm - The MVC, MVP, and MVVM Smackdown. Front-End Development user Interface - User Interface Design patterns. oocss-acss-bem-smacss - OOCSS, ACSS, BEM, SMACSS: what are they? What should I use? css-protips - A collection of tips to help take your CSS skills pro. responsive design patterns - A collection of patterns and modules for responsive designs. [front-End Architecture] mv* - MVC/MVP/MVVM/CLEAN/VIPER/REDUX/MVI/PRNSAASPFRUICC. martinfowler - GUI Architectures. Security opensecurityarchitecture - Security Architecture Patterns. martinfowler - Web-security-basics. cloud-security - Cloud security architecture intro. owasp - Security by Design Principles. azure-security - Azure security best practices and patterns. Books Django Design Patterns and Best Practices MongoDB Applied Design Patterns Design-Patterns-Elements-Reusable-Object-Oriented Head-First-Design-Patterns-Brain-Friendly Effective-Java-3rd-Joshua-Bloch Node.js Design Patterns Game Programming Patterns Object Design Style Guide Spring Boot in Practice Designing Microservices Other Awesome Lists Other amazingly awesome lists can be found in the awesome list. Contributing Your contributions are always welcome! Please read the contribution guidelines first. License To the extent possible under law, Dov Amir has waived all copyright and related or neighboring rights to this work. To restore the repository download the bundle wget https://archive.org/download/github.com-DovAmir-awesome-design-patterns_-_2022-11-09_07-18-54/DovAmir-awesome-design-patterns_-_2022-11-09_07-18-54.bundle and run: git clone DovAmir-awesome-design-patterns_-_2022-11-09_07-18-54.bundle Source: https://github.com/DovAmir/awesome-design-patterns Uploader: DovAmir Upload date: 2022-11-09

Hello, Debuggers. In today's episode, we continue our series about design patterns with one of the most polemic design patterns of all, Singleton. We explain when you might want to use a Singleton, we go over the definition of this design pattern, we talk about two very common definitions, and finally, we go over some of the reasons why people do not like to use Singletons.Thanks for tuning in this week and we hope you enjoy the show! Contact us at: [email protected]

Design patterns implemented in Java Design patterns implemented in Java Read in different language : CN , KR , FR , TR , AR Introduction Design patterns are the best formalized practices a programmer can use tosolve common problems when designing an application or system. Design patterns can speed up the development process by providing tested, provendevelopment paradigms. Reusing design patterns help prevent subtle issues that cause majorproblems, and it also improves code readability for coders and architects whoare familiar with the patterns. Getting started This site showcases Java Design Patterns. The solutions have been developed byexperienced programmers and architects from the open source community. The patterns can be browsed by their high level descriptions or by looking at theirsource code. The source code examples are well commented and can be thought asprogramming tutorials on how to implement a specific pattern. We use the mostpopular battle-proven open source Java technologies. Before you dive into the material, you should be familiar with various Software Design Principles . All designs should be as simple as possible. You should start with KISS, YAGNI,and Do The Simplest Thing That Could Possibly Work principles. Complexity andpatterns should only be introduced when they are needed for practicalextensibility. Once you are familiar with these concepts you can start drilling down into the available design patterns by any of the following approaches Search for a specific pattern by name. Can't find one? Please report a new pattern here . Using tags such as Performance , Gang of Four or Data access . Using pattern categories, Creational , Behavioral , and others. Hopefully you find the object oriented solutions presented on this site usefulin your architectures and have as much fun learning them as we had developing them. How to contribute If you are willing to contribute to the project you will find the relevant information in our developer wiki . We will help you and answer your questions in the Gitter chatroom . License This project is licensed under the terms of the MIT license. Contributors Ilkka Seppälä 📆 🚧 🖋 amit1307 💻 Narendra Pathai 💻 🤔 👀 Jeroen Meulemeester 💻 Joseph McCarthy 💻 Thomas 💻 Anurag Agarwal 💻 Markus Moser 🎨 💻 🤔 Sabiq Ihab 💻 Amit Dixit 💻 Piyush Kailash Chaudhari 💻 joshzambales 💻 Kamil Pietruszka 💻 Zafar Khaydarov 💻 📖 Paul Campbell 💻 Argyro Sioziou 💻 TylerMcConville 💻 saksham93 💻 nikhilbarar 💻 Colin But 💻 Ruslan 💻 Juho Kang 💻 Dheeraj Mummareddy 💻 Bernardo Sulzbach 💻 Aleksandar Dudukovic 💻 Yusuf Aytaş 💻 Mihály Kuprivecz 💻 Stanislav Kapinus 💻 GVSharma 💻 Srđan Paunović 💻 Petros G. Sideris 💻 Pramod Gupta 👀 Amarnath Chandana 💻 Anurag870 💻 📖 Wes Gilleland 💻 Harshraj Thakor 💻 Martin Vandenbussche 💻 Alexandru Somai 💻 Artur Mogozov 💻 anthony 💻 Christian Cygnus 💻 Dima Gubin 💻 Joshua Jimenez 💻 Kai Winter 💻 lbroman 💻 Przemek 💻 Prafful Agarwal 🖋 Sanket Panhale 🖋 staillebois 💻 Krisztián Nagy 💻 Alexander Ivanov 💻 Yosfik Alqadri 💻 Agustí Becerra Milà 💻 Juan Manuel Suárez 💻 Luigi Cortese 💻 Katarzyna Rzepecka 💻 adamski.pro 💻 Shengli Bai 💻 Boris 💻 Dmitry Avershin 💻 靳阳 💻 hoangnam2261 💻 Arpit Jain 💻 Jón Ingi Sveinbjörnsson 💻 Kirill Vlasov 💻 Mitchell Irvin 💻 Ranjeet 💻 PhoenixYip 💻 M Saif Asif 💻 kanwarpreet25 💻 Leon Mak 💻 Per Wramdemark 💻 Evan Sia Wai Suan 💻 AnaghaSasikumar 💻 Christoffer Hamberg 💻 Dominik Gruntz 💻 Hannes 💻 Leo Gutiérrez Ramírez 💻 Zhang WH 💻 Christopher O'Connell 💻 George Mavroeidis 💻 Hemant Bothra 💻 🎨 Kevin Peters 💻 George Aristy 💻 Mahendran Mookkiah 💻 Azureyjt 💻 gans 💻 Matt 🖋 Gopinath Langote 💻 Hoswey 💻 Amit Pandey 💻 gwildor28 🖋 田浩 🖋 Stamatis Pitsios 💻 qza 💻 Rodolfo Forte 🖋 Ankur Kaushal 💻 Ovidijus Okinskas 💻 Robert Kasperczyk 💻 Tapio Rautonen 💻 Yuri Orlov 💻 Varun Upadhyay 💻 Aditya Pal 💻 grzesiekkedzior 💻 👀 Sivasubramani M 💻 Sami Airaksinen 💻 Janne Sinivirta 💻 Boris-Chengbiao Zhou 🖋 Jacob Hein 🖋 Richard Jones 🖋 Rachel M. Carmena 🖋 Zaerald Denze Lungos 🖋 Lars Kappert 🖋 Mike Liu 🌍 Matt Dolan 💻 👀 Manan 👀 Nishant Arora 💻 Peeyush 💻 Rakesh 💻 👀 Wei Seng 💻 Ashish Trivedi 💻 洪月阳 💻 xdvrx1 👀 🤔 Subhrodip Mohanta 💻 👀 🚧 Bethan Palmer 💻 Toxic Dreamz 💻 Edy Cu Tjong 📖 Michał Krzywański 💻 Stefan Birkner 💻 Fedor Skvorcov 💻 samilAyoub 💻 Vladislav Golubinov 💻 Swaraj 💻 Christoph Flick 📖 Ascênio 👀 Domenico Sibilio 📖 Akash Chandwani 👀 Pavlo Manannikov 💻 Eiman 💻 Rocky 📖 Ibrahim ali abdelghany 👀 Girish Kulkarni 📖 Omar Karazoun 💻 Jeff Evans 💻 Vivek Singh 💻 siavash 💻 ruchpeanuts 📖 warp125 🌍 KHADIR Tayeb 🌍 ignite1771 💻 Halil Demir 🌍 Rohit Singh 💻 byoungju94 💻 Moustafa Farhat 🌍 Martel Richard 💻 va1m 💻 Noam Greenshtain 💻 yonghong Xu 📖 jinishavora 👀 💻 Elvys Soares 💻 zWeBrain 💻 余林颖 🌍 Alain 🌍 VR 📖 JackieNim 💻 EdisonE3 💻 Tao 💻 To restore the repository download the bundle wget https://archive.org/download/github.com-iluwatar-java-design-patterns_-_2021-05-19_17-44-37/iluwatar-java-design-patterns_-_2021-05-19_17-44-37.bundle and run: git clone iluwatar-java-design-patterns_-_2021-05-19_17-44-37.bundle Source: https://github.com/iluwatar/java-design-patterns Uploader: iluwatar Upload date: 2021-05-19

In this episode of the iPhreaks Show, Azam and Chuck sit down and talk about the Reactive programming patterns and MVVM that go into building applications using SwiftUI in ways that allow the applications to be responsive, easy to test, and to grow. The discussion ranges through RxSwift and Combine to MVVM patterns that SwiftUI leads to and some of the pitfalls that you might run into using them. Sponsors ? Audible.com ? CacheFly Panel ? Charles Max Wood Guest ? Mohammad Azam Links ? https://github.com/ReactiveX/RxSwift ? https://developer.apple.com/documentation/combine ? https://azamsharp.com/viewmodel-patternshttps://github.com/ReSwift/ReSwift Picks Charles Max Wood: ? Overview of Docker Compose ? Adventures in Machine Learning podcast Mohammad Azam: ? Upstream: The Quest to Solve Problems Before They Happen, by Dan Heath Follow iPhreaks Show on Twitter >  @iphreaks

In this episode of the iPhreaks Show, Azam and Chuck sit down and talk about the Reactive programming patterns and MVVM that go into building applications using SwiftUI in ways that allow the applications to be responsive, easy to test, and to grow. The discussion ranges through RxSwift and Combine to MVVM patterns that SwiftUI leads to and some of the pitfalls that you might run into using them. Sponsors ? Audible.com ? CacheFly Panel ? Charles Max Wood Guest ? Mohammad Azam Links ? https://github.com/ReactiveX/RxSwift ? https://developer.apple.com/documentation/combine ? https://azamsharp.com/viewmodel-patternshttps://github.com/ReSwift/ReSwift Picks Charles Max Wood: ? Overview of Docker Compose ? Adventures in Machine Learning podcast Mohammad Azam: ? Upstream: The Quest to Solve Problems Before They Happen, by Dan Heath Follow iPhreaks Show on Twitter >  @iphreaks

In this episode of the iPhreaks Show, Azam and Chuck sit down and talk about the Reactive programming patterns and MVVM that go into building applications using SwiftUI in ways that allow the applications to be responsive, easy to test, and to grow. The discussion ranges through RxSwift and Combine to MVVM patterns that SwiftUI leads to and some of the pitfalls that you might run into using them. Sponsors ? Audible.com ? CacheFly Panel ? Charles Max Wood Guest ? Mohammad Azam Links ? https://github.com/ReactiveX/RxSwift ? https://developer.apple.com/documentation/combine ? https://azamsharp.com/viewmodel-patternshttps://github.com/ReSwift/ReSwift Picks Charles Max Wood: ? Overview of Docker Compose ? Adventures in Machine Learning podcast Mohammad Azam: ? Upstream: The Quest to Solve Problems Before They Happen, by Dan Heath Follow iPhreaks Show on Twitter >  @iphreaks

In this episode of the iPhreaks Show, Azam and Chuck sit down and talk about the Reactive programming patterns and MVVM that go into building applications using SwiftUI in ways that allow the applications to be responsive, easy to test, and to grow. The discussion ranges through RxSwift and Combine to MVVM patterns that SwiftUI leads to and some of the pitfalls that you might run into using them. Sponsors ? Audible.com ? CacheFly Panel ? Charles Max Wood Guest ? Mohammad Azam Links ? https://github.com/ReactiveX/RxSwift ? https://developer.apple.com/documentation/combine ? https://azamsharp.com/viewmodel-patternshttps://github.com/ReSwift/ReSwift Picks Charles Max Wood: ? Overview of Docker Compose ? Adventures in Machine Learning podcast Mohammad Azam: ? Upstream: The Quest to Solve Problems Before They Happen, by Dan Heath Follow iPhreaks Show on Twitter >  @iphreaks

In this episode of the iPhreaks Show, Azam and Chuck sit down and talk about the Reactive programming patterns and MVVM that go into building applications using SwiftUI in ways that allow the applications to be responsive, easy to test, and to grow. The discussion ranges through RxSwift and Combine to MVVM patterns that SwiftUI leads to and some of the pitfalls that you might run into using them. Sponsors ? Audible.com ? CacheFly Panel ? Charles Max Wood Guest ? Mohammad Azam Links ? https://github.com/ReactiveX/RxSwift ? https://developer.apple.com/documentation/combine ? https://azamsharp.com/viewmodel-patternshttps://github.com/ReSwift/ReSwift Picks Charles Max Wood: ? Overview of Docker Compose ? Adventures in Machine Learning podcast Mohammad Azam: ? Upstream: The Quest to Solve Problems Before They Happen, by Dan Heath Follow iPhreaks Show on Twitter >  @iphreaks

Design patterns implemented in Java Design patterns implemented in Java Read in different language : zh , ko , fr , tr , ar , es , pt , id , ru , de , ja Introduction Design patterns are the best, formalized practices a programmer can use tosolve common problems when designing an application or system. Design patterns can speed up the development process by providing tested, provendevelopment paradigms. Reusing design patterns help prevent subtle issues that cause majorproblems, and it also improves code readability for coders and architects whoare familiar with the patterns. Getting started This site showcases Java Design Patterns. The solutions have been developed byexperienced programmers and architects from the open-source community. Thepatterns can be browsed by their high-level descriptions or by looking at theirsource code. The source code examples are well commented and can be thought of asprogramming tutorials on how to implement a specific pattern. We use the mostpopular battle-proven open-source Java technologies. Before you dive into the material, you should be familiar with various Software Design Principles . All designs should be as simple as possible. You should start with KISS, YAGNI,and Do The Simplest Thing That Could Possibly Work principles. Complexity andpatterns should only be introduced when they are needed for practicalextensibility. Once you are familiar with these concepts you can start drilling down into the available design patterns by anyof the following approaches Search for a specific pattern by name. Can't find one? Please report a new pattern here . Using tags such as Performance , Gang of Four or Data access . Using pattern categories, Creational , Behavioral , and others. Hopefully, you find the object-oriented solutions presented on this site usefulin your architectures and have as much fun learning them as we had while developing them. How to contribute If you are willing to contribute to the project you will find the relevant information inour developer wiki . We will helpyou and answer your questions in the Gitter chatroom . License This project is licensed under the terms of the MIT license. Contributors Ilkka Seppälä 📆 🚧 🖋 Subhrodip Mohanta 💻 👀 🚧 amit1307 💻 Narendra Pathai 💻 🤔 👀 Jeroen Meulemeester 💻 Joseph McCarthy 💻 Thomas 💻 Anurag Agarwal 💻 Markus Moser 🎨 💻 🤔 Sabiq Ihab 💻 Amit Dixit 💻 Piyush Kailash Chaudhari 💻 joshzambales 💻 Kamil Pietruszka 💻 Zafar Khaydarov 💻 📖 Paul Campbell 💻 Argyro Sioziou 💻 TylerMcConville 💻 saksham93 💻 nikhilbarar 💻 Colin But 💻 Ruslan 💻 Juho Kang 💻 Dheeraj Mummareddy 💻 Bernardo Sulzbach 💻 Aleksandar Dudukovic 💻 Yusuf Aytaş 💻 Mihály Kuprivecz 💻 Stanislav Kapinus 💻 GVSharma 💻 Srđan Paunović 💻 Petros G. Sideris 💻 Pramod Gupta 👀 Amarnath Chandana 💻 Anurag870 💻 📖 Wes Gilleland 💻 Harshraj Thakor 💻 Martin Vandenbussche 💻 Alexandru Somai 💻 Artur Mogozov 💻 anthony 💻 Christian Cygnus 💻 Dima Gubin 💻 Joshua Jimenez 💻 Kai Winter 💻 lbroman 💻 Przemek 💻 Prafful Agarwal 🖋 Sanket Panhale 🖋 staillebois 💻 Krisztián Nagy 💻 Alexander Ivanov 💻 Yosfik Alqadri 💻 Agustí Becerra Milà 💻 Juan Manuel Suárez 💻 Luigi Cortese 💻 Katarzyna Rzepecka 💻 adamski.pro 💻 Shengli Bai 💻 Boris 💻 Dmitry Avershin 💻 靳阳 💻 hoangnam2261 💻 Arpit Jain 💻 Jón Ingi Sveinbjörnsson 💻 Kirill Vlasov 💻 Mitchell Irvin 💻 Ranjeet 💻 PhoenixYip 💻 M Saif Asif 💻 kanwarpreet25 💻 Leon Mak 💻 Per Wramdemark 💻 Evan Sia Wai Suan 💻 AnaghaSasikumar 💻 Christoffer Hamberg 💻 Dominik Gruntz 💻 Hannes 💻 Leo Gutiérrez Ramírez 💻 Zhang WH 💻 Christopher O'Connell 💻 George Mavroeidis 💻 Hemant Bothra 💻 🎨 Kevin Peters 💻 George Aristy 💻 Mahendran Mookkiah 💻 Azureyjt 💻 gans 💻 Matt 🖋 Gopinath Langote 💻 Hoswey 💻 Amit Pandey 💻 gwildor28 🖋 田浩 🖋 Stamatis Pitsios 💻 qza 💻 Rodolfo Forte 🖋 Ankur Kaushal 💻 Ovidijus Okinskas 💻 Robert Kasperczyk 💻 Tapio Rautonen 💻 Yuri Orlov 💻 Varun Upadhyay 💻 Aditya Pal 💻 grzesiekkedzior 💻 👀 Sivasubramani M 💻 Sami Airaksinen 💻 Janne Sinivirta 💻 Boris-Chengbiao Zhou 🖋 Jacob Hein 🖋 Richard Jones 🖋 Rachel M. Carmena 🖋 Zaerald Denze Lungos 🖋 Lars Kappert 🖋 Mike Liu 🌍 Matt Dolan 💻 👀 Manan 👀 Nishant Arora 💻 Peeyush 💻 Rakesh 💻 👀 Wei Seng 💻 Ashish Trivedi 💻 洪月阳 💻 xdvrx1 👀 🤔 Bethan Palmer 💻 Toxic Dreamz 💻 Edy Cu Tjong 📖 Michał Krzywański 💻 Stefan Birkner 💻 Fedor Skvorcov 💻 samilAyoub 💻 Vladislav Golubinov 💻 Swaraj 💻 Christoph Flick 📖 Ascênio 👀 Domenico Sibilio 📖 Akash Chandwani 👀 Pavlo Manannikov 💻 Eiman 💻 Rocky 📖 Ibrahim ali abdelghany 👀 Girish Kulkarni 📖 Omar Karazoun 💻 Jeff Evans 💻 Vivek Singh 💻 siavash 💻 ruchpeanuts 📖 warp125 🌍 KHADIR Tayeb 🌍 ignite1771 💻 Halil Demir 🌍 Rohit Singh 💻 byoungju94 💻 Moustafa Farhat 🌍 Martel Richard 💻 va1m 💻 Noam Greenshtain 💻 yonghong Xu 📖 jinishavora 👀 💻 Elvys Soares 💻 zWeBrain 💻 余林颖 🌍 Alain 🌍 VR 📖 JackieNim 💻 EdisonE3 💻 Tao 💻 Juan Manuel Abate 🌍 Xenilo137 💻 Samuel Souza 💻 Marlo Henrique 🌍 AndriyPyzh 💻 karthikbhat13 💻 Morteza Adigozalpour 💻 Nagaraj Tantri 💻 Francesco Scuccimarri 💻 Conny Hansson 📖 Muklas Rahmanto 🌍 Vadim 🌍 Simran Keshri 💻 JCarlos 🌍 Ali Ghasemi 💻 Carl Dea 💻 Mozartus 🌍 Manvi Goel 📖 Anum Amin 📖 Reo Uehara 🌍 Fiordy 📖 Harshal 💻 Abhinav Vashisth 📖 Kevin 👀 💻 Shrirang 👀 💻 interactwithankush 💻 CharlieYu 💻 Leisterbecker 💻 DragonDreamer 💻 ShivanshCharak 💻 HattoriHenzo 💻 Arnab Sen 💻 To restore the repository download the bundle wget https://archive.org/download/github.com-iluwatar-java-design-patterns_-_2022-05-17_09-14-02/iluwatar-java-design-patterns_-_2022-05-17_09-14-02.bundle and run: git clone iluwatar-java-design-patterns_-_2022-05-17_09-14-02.bundle Source: https://github.com/iluwatar/java-design-patterns Uploader: iluwatar Upload date: 2022-05-17

Joshua Greene and Jay Strawn, the authors of "Design Patterns by Tutorials", join us to talk about different Design Patterns and SOLID.

Joshua Greene and Jay Strawn, the authors of "Design Patterns by Tutorials", join us to talk about different Design Patterns and SOLID.

Joshua Greene and Jay Strawn, the authors of "Design Patterns by Tutorials", join us to talk about different Design Patterns and SOLID.

Essential JavaScript & jQuery Design Patterns For Beginners Addy Osmani

Essential JavaScript & jQuery Design Patterns For Beginners Addy Osmani

Essential JavaScript & jQuery Design Patterns For Beginners Addy Osmani

Jamie Willis and Nicolas Wu.  Design Patterns for Parser Combinators (Functional Pearl).  Haskell 2021: Proceedings of the 14th ACM SIGPLAN International Symposium on Haskell, August 2021, Pages 71–84.  https://doi.org/10.1145/3471874.3472984 Abstract Parser combinators are a popular and elegant approach for parsing in functional languages. The design and implementation of such libraries are well discussed, but having a well-designed library is only one-half of the story. In this paper we explore several reusable approaches to writing parsers in combinator style, focusing on easy to apply patterns to keep parsing code simple, separated, and maintainable. This work is licensed under a Creative Commons Attribution 4.0 International License.

Jamie Willis and Nicolas Wu.  Design Patterns for Parser Combinators (Functional Pearl).  Haskell 2021: Proceedings of the 14th ACM SIGPLAN International Symposium on Haskell, August 2021, Pages 71–84.  https://doi.org/10.1145/3471874.3472984 Abstract Parser combinators are a popular and elegant approach for parsing in functional languages. The design and implementation of such libraries are well discussed, but having a well-designed library is only one-half of the story. In this paper we explore several reusable approaches to writing parsers in combinator style, focusing on easy to apply patterns to keep parsing code simple, separated, and maintainable. This work is licensed under a Creative Commons Attribution 4.0 International License.

Jamie Willis and Nicolas Wu.  Design Patterns for Parser Combinators (Functional Pearl).  Haskell 2021: Proceedings of the 14th ACM SIGPLAN International Symposium on Haskell, August 2021, Pages 71–84.  https://doi.org/10.1145/3471874.3472984 Abstract Parser combinators are a popular and elegant approach for parsing in functional languages. The design and implementation of such libraries are well discussed, but having a well-designed library is only one-half of the story. In this paper we explore several reusable approaches to writing parsers in combinator style, focusing on easy to apply patterns to keep parsing code simple, separated, and maintainable. This work is licensed under a Creative Commons Attribution 4.0 International License.

Jamie Willis and Nicolas Wu.  Design Patterns for Parser Combinators (Functional Pearl).  Haskell 2021: Proceedings of the 14th ACM SIGPLAN International Symposium on Haskell, August 2021, Pages 71–84.  https://doi.org/10.1145/3471874.3472984 Abstract Parser combinators are a popular and elegant approach for parsing in functional languages. The design and implementation of such libraries are well discussed, but having a well-designed library is only one-half of the story. In this paper we explore several reusable approaches to writing parsers in combinator style, focusing on easy to apply patterns to keep parsing code simple, separated, and maintainable. This work is licensed under a Creative Commons Attribution 4.0 International License.

This talk is part of the D Programming Language Conference, May 1-3 2013, Menlo Park, CA. For more information click here .

A set of design patterns for digital item types has been developed in response to challenges identified in various projects by teachers in higher education. The goal of the projects in question was to design and develop formative and summative tests, and to develop interactive learning material in the form of quizzes. The subject domains involved were mainly in the life sciences, medical sciences and engineering sciences. The use of digital item types and facilitating the process of designing items were typical examples of the challenges involved. From the viewpoint of subject matter experts, the main challenge in digital item type design was to design items that test for understanding. Furthermore, lecturers want to reduce student behaviour that is based on guesswork. With these conditions in mind, this paper presents a set of design patterns for digital items, together with a standard format for describing these patterns. (Contains 1 table.)

A set of design patterns for digital item types has been developed in response to challenges identified in various projects by teachers in higher education. The goal of the projects in question was to design and develop formative and summative tests, and to develop interactive learning material in the form of quizzes. The subject domains involved were mainly in the life sciences, medical sciences and engineering sciences. The use of digital item types and facilitating the process of designing items were typical examples of the challenges involved. From the viewpoint of subject matter experts, the main challenge in digital item type design was to design items that test for understanding. Furthermore, lecturers want to reduce student behaviour that is based on guesswork. With these conditions in mind, this paper presents a set of design patterns for digital items, together with a standard format for describing these patterns. (Contains 1 table.)

A curated list of software and architecture related design patterns. Awesome design patterns A curated list of software and architecture related design patterns. Software design pattern - A general, reusable solution to a commonly occurring problem within a given context in software design. It is a description or template for how to solve a problem that can be used in many different situations. Contents GoF design patterns General Architecture Cloud Architecture Serverless Architecture Micro services & Distributed Systems Internet of things Big Data Databases Docker and DevOps Mobile Front End Development Security Books Videos Miscellaneous Language/Framework design patterns (mainly GoF) [AngularJS] angularjs-in-patterns [C#] design-patterns design-patterns-for-human [C++] design-patterns [Cat] patterns for hoomans [Closure] design-patterns [Go] design-patterns [Java] sourcemaking oodesign from-gof-to-lambda design-patterns effective-java [JavaScript] es6 humans js_designpatterns addyosmani [Kotlin] design-patterns gof-in-kotlin [PHP] humans design-patterns [Python] design-patterns PyPattyrn [React] design-patterns react-bits [Ruby] design-patterns [Scala] scala-design-patterns [Swift] design-patterns [TypeScript] typescript [UML] quick reference cheat-sheet General Architecture 10 common architectural patterns - 10 Common software architectural patterns in a nutshell. reactive design patterns - This website accompanies the book Reactive Design Patterns by Roland Kuhn. scalable System Design Patterns - Scalable system design techniques. martin fowler - Catalog of Patterns of Enterprise Application Architecture. system-design-primer - Design large-scale systems. architecting-for-reliability - Architecting for Reliability Part 1/3. Cloud Architecture AWS cloud design patterns - The AWS Cloud Design Patterns (CDP). Azure cloud design patterns - Building reliable, scalable, secure applications in the cloud. cloud patterns - A community site dedicated to documenting a master patterns catalog. cloud computing patterns - Cloud Computing Patterns. Google Cloud Solutions - Real business cases solutions with diagrams on GCP. Serverless Architecture serverless architecture - Serverless Architecture: Five Design Patterns. solving problems in serverless - Patterns for Solving Problems in Serverless Architectures. Micro services & Distributed Systems microservice patterns - A community site dedicated to documenting a master patterns catalog. microservices - A pattern language for microservices. microservices-anti patterns - Microservices antipatterns and pitfalls. 12factor - The twelve-factor methodology. microservices-sync-vs-async - Microservices patterns, synchronous and asynchronous. message-queues - Comparing-message-queue-architectures. enterprise Integration Patterns - Patterns and Best Practices for Enterprise Integration. Internet of things iot-communication-patterns - Strengths and Weaknesses of IoT Communication Patterns. design-patterns-for-iot - A Design Pattern Framework for IoT Architecture. Big Data bigdatapatterns - A community site dedicated to documenting a master patterns catalog. mapreduce-patterns - Map-reduce patterns. streaming-realtime-analytics - 13 Stream Processing Patterns for building Streaming and Realtime Applications. Databases [SQL] database tenancy patterns - Multi-tenant SaaS database tenancy patterns databaseanswers - Industry-specific SQL Data Models in 50 categories. database-programmer - Table-design-patterns. red-gate - five simple database design errors you should avoid. talend - Data model design best practices. sqlcheck - Anti-patterns in SQL queries. [NOSQL] nosql resilience patterns - Practical NoSQL resilience design pattern for the enterprise. nosql-patterns - Pragmatic Programming Techniques. mongodb - Mongodb design patterns. Docker and DevOps containerspatterns - There are a Thousand Ways to Use Containers. container-anti-patterns - 10 containers anti-patterns. kubernetes - Kubernetes Production Patterns. container-design-patterns - Container Design Patterns for Kubernetes Pods Design. pattern-and-anti-pattern-cicd - Pattern and anti-pattern cicd. best-practices-for-shell-scripts - Best practices for shell scripts. Mobile [ios] ios-architecture-patterns [android] androidpatterns - Interaction patterns that can help you design Android apps. design-patterns-for-android - Common Design Patterns for Android. mvc-mvp-and-mvvm - The MVC, MVP, and MVVM Smackdown. Front-End Development user Interface - User Interface Design patterns. oocss-acss-bem-smacss - OOCSS, ACSS, BEM, SMACSS: what are they? What should I use? css-protips - A collection of tips to help take your CSS skills pro. responsive design patterns - A collection of patterns and modules for responsive designs. [front-End Architecture] mv* - MVC/MVP/MVVM/CLEAN/VIPER/REDUX/MVI/PRNSAASPFRUICC. martinfowler - GUI Architectures. Security opensecurityarchitecture - Security Architecture Patterns. martinfowler - Web-security-basics. cloud-security - Cloud security architecture intro. owasp - Security by Design Principles. azure-security - Azure security best practices and patterns. Books Django Design Patterns and Best Practices MongoDB Applied Design Patterns Design-Patterns-Elements-Reusable-Object-Oriented Head-First-Design-Patterns-Brain-Friendly Effective-Java-3rd-Joshua-Bloch Node.js Design Patterns Game Programming Patterns Videos [TODO] Miscellaneous Other Awesome Lists Other amazingly awesome lists can be found in the awesome list. Contributing Your contributions are always welcome! Please read the contribution guidelines first. License To the extent possible under law, Dov Amir has waived all copyright and related or neighboring rights to this work. To restore the repository download the bundle wget https://archive.org/download/github.com-DovAmir-awesome-design-patterns_-_2018-07-11_03-33-27/DovAmir-awesome-design-patterns_-_2018-07-11_03-33-27.bundle and run: git clone DovAmir-awesome-design-patterns_-_2018-07-11_03-33-27.bundle Source: https://github.com/DovAmir/awesome-design-patterns Uploader: DovAmir Upload date: 2018-07-11

Design patterns implemented in Java Design patterns implemented in Java Read in different language : zh , ko , fr , tr , ar , es , pt , id , ru , de , ja , vi , bn , np Introduction Design patterns are the best, formalized practices a programmer can use tosolve common problems when designing an application or system. Design patterns can speed up the development process by providing tested, provendevelopment paradigms. Reusing design patterns help prevent subtle issues that cause majorproblems, and it also improves code readability for coders and architects whoare familiar with the patterns. Getting started This site showcases Java Design Patterns. The solutions have been developed byexperienced programmers and architects from the open-source community. Thepatterns can be browsed by their high-level descriptions or by looking at theirsource code. The source code examples are well commented and can be thought of asprogramming tutorials on how to implement a specific pattern. We use the mostpopular battle-proven open-source Java technologies. Before you dive into the material, you should be familiar with various Software Design Principles . All designs should be as simple as possible. You should start with KISS, YAGNI,and Do The Simplest Thing That Could Possibly Work principles. Complexity andpatterns should only be introduced when they are needed for practicalextensibility. Once you are familiar with these concepts you can start drilling down into the available design patterns by anyof the following approaches Search for a specific pattern by name. Can't find one? Please report a new pattern here . Using tags such as Performance , Gang of Four or Data access . Using pattern categories, Creational , Behavioral , and others. Hopefully, you find the object-oriented solutions presented on this site usefulin your architectures and have as much fun learning them as we had while developing them. How to contribute If you are willing to contribute to the project you will find the relevant information inour developer wiki . We will helpyou and answer your questions in the Gitter chatroom . License This project is licensed under the terms of the MIT license. Contributors Ilkka Seppälä 📆 🚧 🖋 Subhrodip Mohanta 💻 👀 🚧 amit1307 💻 Narendra Pathai 💻 🤔 👀 Jeroen Meulemeester 💻 Joseph McCarthy 💻 Thomas 💻 Anurag Agarwal 💻 Markus Moser 🎨 💻 🤔 Sabiq Ihab 💻 Amit Dixit 💻 Piyush Kailash Chaudhari 💻 joshzambales 💻 Kamil Pietruszka 💻 Zafar Khaydarov 💻 📖 Paul Campbell 💻 Argyro Sioziou 💻 TylerMcConville 💻 saksham93 💻 nikhilbarar 💻 Colin But 💻 Ruslan 💻 Juho Kang 💻 Dheeraj Mummareddy 💻 Bernardo Sulzbach 💻 Aleksandar Dudukovic 💻 Yusuf Aytaş 💻 Mihály Kuprivecz 💻 Stanislav Kapinus 💻 GVSharma 💻 Srđan Paunović 💻 Petros G. Sideris 💻 Pramod Gupta 👀 Amarnath Chandana 💻 Anurag870 💻 📖 Wes Gilleland 💻 Harshraj Thakor 💻 Martin Vandenbussche 💻 Alexandru Somai 💻 Artur Mogozov 💻 anthony 💻 Christian Cygnus 💻 Dima Gubin 💻 Joshua Jimenez 💻 Kai Winter 💻 lbroman 💻 Przemek 💻 Prafful Agarwal 🖋 Sanket Panhale 🖋 staillebois 💻 Krisztián Nagy 💻 Alexander Ivanov 💻 Yosfik Alqadri 💻 Agustí Becerra Milà 💻 Juan Manuel Suárez 💻 Luigi Cortese 💻 Katarzyna Rzepecka 💻 adamski.pro 💻 Shengli Bai 💻 Boris 💻 Dmitry Avershin 💻 靳阳 💻 hoangnam2261 💻 Arpit Jain 💻 Jón Ingi Sveinbjörnsson 💻 Kirill Vlasov 💻 Mitchell Irvin 💻 Ranjeet 💻 PhoenixYip 💻 M Saif Asif 💻 kanwarpreet25 💻 Leon Mak 💻 Per Wramdemark 💻 Evan Sia Wai Suan 💻 AnaghaSasikumar 💻 Christoffer Hamberg 💻 Dominik Gruntz 💻 Hannes 💻 Leo Gutiérrez Ramírez 💻 Zhang WH 💻 Christopher O'Connell 💻 George Mavroeidis 💻 Hemant Bothra 💻 🎨 Kevin Peters 💻 George Aristy 💻 Mahendran Mookkiah 💻 Azureyjt 💻 gans 💻 Matt 🖋 Gopinath Langote 💻 Hoswey 💻 Amit Pandey 💻 gwildor28 🖋 田浩 🖋 Stamatis Pitsios 💻 qza 💻 Rodolfo Forte 🖋 Ankur Kaushal 💻 Ovidijus Okinskas 💻 Robert Kasperczyk 💻 Tapio Rautonen 💻 Yuri Orlov 💻 Varun Upadhyay 💻 Aditya Pal 💻 grzesiekkedzior 💻 👀 Sivasubramani M 💻 Sami Airaksinen 💻 Janne Sinivirta 💻 Boris-Chengbiao Zhou 🖋 Jacob Hein 🖋 Richard Jones 🖋 Rachel M. Carmena 🖋 Zaerald Denze Lungos 🖋 Lars Kappert 🖋 Mike Liu 🌍 Matt Dolan 💻 👀 Manan 👀 Nishant Arora 💻 Peeyush 💻 Rakesh 💻 👀 Wei Seng 💻 Ashish Trivedi 💻 洪月阳 💻 xdvrx1 👀 🤔 Bethan Palmer 💻 Toxic Dreamz 💻 Edy Cu Tjong 📖 Michał Krzywański 💻 Stefan Birkner 💻 Fedor Skvorcov 💻 samilAyoub 💻 Vladislav Golubinov 💻 Swaraj 💻 Christoph Flick 📖 Ascênio 👀 Domenico Sibilio 📖 Akash Chandwani 👀 Pavlo Manannikov 💻 Eiman 💻 Rocky 📖 Ibrahim ali abdelghany 👀 Girish Kulkarni 📖 Omar Karazoun 💻 Jeff Evans 💻 Vivek Singh 💻 siavash 💻 ruchpeanuts 📖 warp125 🌍 KHADIR Tayeb 🌍 ignite1771 💻 Halil Demir 🌍 Rohit Singh 💻 byoungju94 💻 Moustafa Farhat 🌍 Martel Richard 💻 va1m 💻 Noam Greenshtain 💻 yonghong Xu 📖 jinishavora 👀 💻 Elvys Soares 💻 zWeBrain 💻 余林颖 🌍 Alain 🌍 VR 📖 JackieNim 💻 EdisonE3 💻 Tao 💻 Juan Manuel Abate 🌍 Xenilo137 💻 Samuel Souza 💻 Marlo Henrique 🌍 AndriyPyzh 💻 karthikbhat13 💻 Morteza Adigozalpour 💻 Nagaraj Tantri 💻 Francesco Scuccimarri 💻 Conny Hansson 📖 Muklas Rahmanto 🌍 Vadim 🌍 Simran Keshri 💻 JCarlos 🌍 Ali Ghasemi 💻 Carl Dea 💻 Mozartus 🌍 Manvi Goel 📖 Anum Amin 📖 Reo Uehara 🌍 Fiordy 📖 Harshal 💻 Abhinav Vashisth 📖 Kevin 👀 💻 Shrirang 👀 💻 interactwithankush 💻 CharlieYu 💻 Leisterbecker 💻 DragonDreamer 💻 ShivanshCharak 💻 HattoriHenzo 💻 Arnab Sen 💻 MohanaRao SV 💻 Yonatan Karp-Rudin 💻 👀 Oliani 💻 Renjie LIU 💻 perfect guy 📖 xyllq999 💻 Mohamed Bilal 📖 Karshil sheth 💻 kongleong86 💻 Aitor Fidalgo Sánchez 🌍 📖 👀 Victor He 💻 Minh Nguyen 🌍 📖 yiichan 📖 Pan Sem 📖 zhoumengyks 💻 you 🌍 Thanks 🌍 LazyProgrammer 📖 Mohammed Faizan Ahmed 📖 Bruno Fernandes 💻 SammanPali 📖 Qixiang Chen 📖 Shourya Manekar 🌍 Alan 🌍 JanFidor 💻 📖 Anton Yakutovich 💻 steph88ss 📖 Yujan Ranjitkar 🌍 yusha-g 🌍 Robert Volkmann 💻 👀 Bipin Kumar Chaurasia 📖 KyleSong30 📖 u7281975 📖 harshalkhachane 💻 Tejas Singh 📖 🌍 Sudarsan Balaji 💻 Vaibhav Agrawal 📖 u7275858 💻 prasad-333 📖 JurenXu 💻 murphShaw 📖 XianWu99 📖 JoshuaSinglaANU 💻 Ricardo Ramos 🌍 Farid Zouheir 🌍 Vinícius A. B. 🌍 Stefanel Stan 💻 Prince bhati 🌍 To restore the repository download the bundle wget https://archive.org/download/github.com-iluwatar-java-design-patterns_-_2022-11-27_03-49-31/iluwatar-java-design-patterns_-_2022-11-27_03-49-31.bundle and run: git clone iluwatar-java-design-patterns_-_2022-11-27_03-49-31.bundle Source: https://github.com/iluwatar/java-design-patterns Uploader: iluwatar Upload date: 2022-11-27