Downloads & Free Reading Options - Results

A python call at 2am! That's one way to get Snake Rescue's Nick Evans out of bed at that time! When the large snake was seen on a factory property out in the Cato Ridge area, security staff were worried and called Nick.\"I had to go and rescue the snake, although I think the security officers thought they were the ones who needing saving!\" says Nick. Find more here

We talked with Steve Dower and Dan Taylor at Microsoft Build 2018 about the history of Python at Microsoft, the origination of IronPython, Python Tools for Visual Studio, flying under the radar to add support Python, fighting from within to support open source, and more.

Something interesting is going on at Stack Overflow, researches dig up some new (and potentially unavoidable) LLM attacks, Google proposes a new API that Ron Amadeo calls a DRM gatekeeper for the web, the Python Steering Council affirms PEP 703 & Lucas McGregor writes why no one wants to talk to your chatbot.

python-biophysics-2014 dumped with WikiTeam tools.

UPDATED: you need to pause between reverse and forward commands. still working out why, exactly... This is for testing rapid reversal in gcode for RepRap, MakerBot, etc. It does a find and replace of M103 and M101 lines in your gcode file. Detailed instructions are in the top of the file. Use it like the following: python RAPID_REVERSALify.py FILE.gcode printRPM reversalRPM waitTime e.g.: python RAPID_REVERSALify.py oozebane.gcode 2.857 25 200 you will get the printout: we will print at 2.857 RPM we will rapid reverse at 25.0 RPM we will wait for 200 ms during rapid reversal and the file: oozebane_RAPID_REVERSAL.gcode will be created

This Python Attachment is used as a double cup holder. It can hold 2 beverages that a child may have. It can also hold anything small that a child may want to store for the time being. The friction fit I chose were the teeth/ sliders that attach to the basic palm. https://www.thingiverse.com/thing:2911337 David’s Attatchment Animation: https://youtu.be/4IkeSDqg-t8

This Python Attachment is used as a double cup holder. It can hold 2 beverages that a child may have. It can also hold anything small that a child may want to store for the time being. The friction fit I chose were the teeth/ sliders that attach to the basic palm. https://www.thingiverse.com/thing:2911337 David’s Attatchment Animation: https://youtu.be/4IkeSDqg-t8

Qudi is a general, modular, multi-operating system suite written in Python 3 for controlling laboratory experiments. It provides a structured environment by separating functionality into hardware abstraction, experiment logic and user interface layers. The core feature set comprises a graphical user interface, live data visualization, distributed execution over networks, rapid prototyping via Jupyter notebooks, configuration management, and data recording. Currently, the included modules are focused on confocal microscopy, quantum optics and quantum information experiments, but an expansion into other fields is possible and encouraged. Qudi is available from https://github.com/Ulm-IQO/qudi and is freely useable under the GNU General Public Licence.

Qudi is a general, modular, multi-operating system suite written in Python 3 for controlling laboratory experiments. It provides a structured environment by separating functionality into hardware abstraction, experiment logic and user interface layers. The core feature set comprises a graphical user interface, live data visualization, distributed execution over networks, rapid prototyping via Jupyter notebooks, configuration management, and data recording. Currently, the included modules are focused on confocal microscopy, quantum optics and quantum information experiments, but an expansion into other fields is possible and encouraged. Qudi is available from https://github.com/Ulm-IQO/qudi and is freely useable under the GNU General Public Licence.

Made through tinkercad. Made as a extension to the python hand to grab and lock on to objects. The slits in the holders are made to have rubber bands for grips.

Designed for my Python Syphon Vac, to disturb the sand without sucking it all up.

Martijn Faassen - Morepath: a Python Web Framework with Super Powers [EuroPython 2014] [24 July 2014] Morepath is a server web framework written with modern, rich client web development in mind. Why another new Python web framework in 2014? Because it can be done better: Morepath understands how to construct hyperlinks from models. Writing a generic view in Morepath is like writing any other view. With Morepath, you can reuse, extend and override apps as easily as you can construct them. Even if you don't end up using Morepath, you will learn something about how the nature of web frameworks. ----- [Morepath](http://morepath.readthedocs.org) is a new server web framework written with modern, rich client web development in mind. In the talk I will be discussing some core features of Morepath that make it different: * Its different take on routing and linking. Morepath has support to help you construct hyperlinks to models. * Its view system: plain views, generic views, view composition. * Morepath's approach to application construction allows application extension and overriding, and composition. This talk will attempt to convince people to try Morepath. For those unable or unwilling to try, I will communicate some design principles behind Morepath which can be of help to any web developer.

Kyle Knapp - It Works on My Machine: Writing Python Code for Any Environment [EuroPython 2015] [20 July 2015] [Bilbao, Euskadi, Spain] Have you ever developed a nice, well-working python program on one environment, only to have it blow up with exceptions and tracebacks when you run it on a different environment? Have no fear! This talk will show you how to write and maintain python code that is compatible across environments that may differ by python versions and/or operating systems. Techniques and tips will be drawn from lessons and experiences gained from making the AWS CLI, a python-based command line tool to manage AWS resources, compatible across a wide range of environments. In a case-study-like format, real-life compatibility issues encountered while developing the AWS CLI will be presented along with how we resolved each of them. These real-life examples will encompass, but will not be limited to, the following topics: • How to use functions and classes that may differ across python versions and/or operating systems • How to handle version-specific bugs • How to handle strings, bytes, and Unicode across python versions • How to handle differing locale settings • How to handle file operations across operating systems • How and when to vendor dependencies • How to write tests that are compatible across python versions and operating systems • How to create a testing environment that monitors compatibility of code across various environments Ultimately, the goal of these examples is introduce to you some effective, real-world programming practices to overcome your current or next compatibility issue.

Gianluca Nieri - Python for IT specialists' tasks automation [EuroPython 2015] [20 July 2015] [Bilbao, Euskadi, Spain] This talks is about automation and the use of Python scripts to speed up repetitive tasks. It's for developers, sysops, devops, but also any kind of user that want improve his daily routine. I will talk about the use of Python with different tools for different platforms: Keyboard Maestro/Alfred/Hazel on OsX and Synapse/Kupfer/AutoKey on Linux. There will be presented some sample script to give an idea of the potentiality of Python mixed with great tools, and these are some of the topics that I will cover: - text manipulation; - document template management; - clipboard management; - stuff internet activities (url shortening, web scraping, etc.); - list management. - etc.

Romain Guillebert - PyPy and the future of the Python ecosystem [EuroPython 2015] [24 July 2015] Python has a great versatile ecosystem but the competition is getting better, this talk is about how Python can keep up with these new languages and where PyPy fits into this. Recently we've seen the rise of new technologies like Go, Node.js and Julia, those have the ability to build an ecosystem on a clean slate and thus be better than Python in some aspects. What would it take to be as good as those technologies on those aspects without loosing all the things we love about Python ? This talk will describe my perfect future where Python keeps getting better, gets to keep it's great set of libraries and where PyPy fits in that future.

Mike Müller - Functional Python with Mochi [EuroPython 2015] [21 July 2015] [Bilbao, Euskadi, Spain] [Slides][1] While Python supports procedural, object-oriented, and functional programming, its functional features are not fully developed. Mochi is a Python-like functional language that compiles to Python 3 and PyPy 3 bytecode. It can use Python libraries and can be used from Python. Mochi adds functional features such as tail recursion optimization, no re-assignments in function definitions, persistent data structures, pattern matching, algebraic data types, a pipeline operator, better anonymous functions, Erlang-style actors, Lisp-style macros as well as many useful builtin functions. This talk presents what Mochi is, how it works, and what you can do with it. Functional programming can help to solve certain kind of problems elegantly. Done right, functional programs can be easily tested and provide more confidence that you program is really doing what you want. Mochi could be another tool in your toolbox. Functional programming can expand your horizon and can be a lot of fun. Mochi offers easy access to this new world because you can leverage your existing Python knowledge and libraries whenever needed. [Slides][1] [1]: http://www.python-academy.com/talks/europython2015/Functional%20Python%20with%20Mochi.slides.html#/

Unreal Engine is the game industry leading platform for developing AAA Videogames. Now you can script your gameplay logic, automate your development pipelines or test your productions with Python too. The UnrealEnginePython plugin aims at covering the whole feature set of Unreal Engine 4 and extending it with the huge modules library available in the Python world. The talk will briefly introduce the Unreal Engine platform and its capabilities as well as how it can be programmed without the python plugin (Blueprints and C++). The biggest part of the talk will focus on how the Unreal Engine 4 patterns are mapped to the python plugin, what is already working and what you can expect from future developments. No prior knowledge of game/graphics programming is required, and if you are in the movie or cartoon industry you can get interesting infos too Please see our speaker release agreement for details: https://ep2017.europython.eu/en/speaker-release-agreement/

Python is very often recommended as the language of choice in a programming education. I can see at least two cases when it's a thing: - introduction to programming - regardless an age and any previous educational experience, - data science - it's just a standard... and actually both - you can teach a future data scientists starting by teaching Python. During this talk, I would like to briefly present you what Open Source Python educational materials do we have there and how those are and can be used to teach Python and data science. PyLadies, Django Girls, Django Carrots, Python Software Foundation creates many very available materials. From the data science side, you have Open Source materials created by kaggle, Minerva, Github repos, and many other organizations and individuals. During this talk you will learn: - where to find an Open Source Python and data science tutorials and educational materials - how does the Python community can support your learning process - why learning data science with Python is a good idea. I'm also interested in learning your educational experience with an Open Source materials and Python community supporting your learning experience. If you would like to share a link or your educational story, please feel free to send me an email on [email protected]. If I will find it interesting for the audience and if you will give me your permission to share it, I might use it in the talk. Please see our speaker release agreement for details: https://ep2018.europython.eu/en/speaker-release-agreement/

Serverless is revolutionary and will dominate the future of Cloud. Function-as-a-Service (FaaS) however—with its stateless and short-lived functions is only the first step. What’s needed is a next-generation Serverless platform and programming model for general-purpose application development in the new world of real-time data and event-driven systems. What is missing is ways to manage distributed state in a scalable and available fashion, support for long-lived virtual stateful services, ways to physically co-locate data and processing, and options for choosing the right data consistency model for the job. This talk will discuss the challenges, requirements, and introduce you to our proposed solution: Cloudstate—an Open Source project building the next generation Stateful Serverless, running on Kubernetes, Akka, gRPC, Knative, and GraalVM, with polyglot support for Python, Java, Go, JavaScript, Swift, Scala, Python, Kotlin, and more. Please see our speaker release agreement for details: https://ep2020.europython.eu/events/speaker-release-agreement/

Antony Lesuisse - Odoo the underdog python killer app. A python framework for web based business apps. [EuroPython 2015] [22 July 2015] [Bilbao, Euskadi, Spain] Odoo is used by 2 millions of users, although relatively unknown in the python community, it has a vibrant community and is one of the most active python open source project. I will present you the Odoo framework and how it can help to be more productive when building web based business apps. I will highlight its advantages compared to more popular framework such as django.

Domen Kožar - What Python can learn from Haskell packaging [EuroPython 2016] [18 July 2016 / 2016-07-18] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/what-python-can-learn-from-haskell-packaging) Haskell community has made lots of small important improvements to packaging in 2015. What can Python community learn from it and how are we different? ----- Haskell community has been living in "Cabal hell" for decades, but Stack tool and Nix language have been a great game changer for Haskell in 2015. Python packaging has evolved since they very beginning of distutils in 1999. We'll take a look what Haskell community has been doing in their playground and what they've done better or worse. The talk is inspired by Peter Simons talk given at Nix conference: [Peter Simons: Inside of the Nixpkgs Haskell Infrastructure][1] [1]: https://www.youtube.com/watch?v=TDnZsBxqeBM&list=PL_IxoDz1Nq2Y7mIxMZ28mVtjRbbnlVdmy&index=4 Outline: - Cabal (packaging) interesting features overview - Cabal file specification overview - Interesting Cabal features not seen in Python packaging - Lack of features (introduction into next section) - Cabal hell - Quick overview of Haskell community frustration over Cabal tooling - Stack tool overview - What problem Stack solves - How Stack works - Comparing Stack to pip requirements - Using Nix language to automate packaging - how packaging is automated for Haskell - how it could be done for Python

Liana Bakradze - Learn Python The Fun Way [EuroPython 2016] [18 July 2016 / 2016-07-18] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/learn-python-the-fun-way) Programming is one of the most important 21st-century skills and tons of different online and offline resources can help you to master it. On the other hand, playing games is really effective way for us to learn and it's also the most fun. But is it possible to learn real programming language like Python by playing a game? In this talk I'll show you some projects that allow you to achieve that. I also want to inspire you to help such projects and to suggest ideas how to do that. ----- Programming is one of the most important 21st-century skills. It doesn't only provide promising career opportunities but teaches how to reason logically, systematically and creatively. Code readability, rich standard library, straightforward syntax and other features make Python a great language for teaching beginners how to program. Python community is very supportive and friendly to newcomers and does awesome work to make Python available to everyone. Tons of different online and offline resources can help you to master Python programming. Problem solving is the classical way of learning how to code. But it can be boring for some people, especially for kids. On the other hand, playing games is really effective way for us to learn and it's also the most fun. You can find different games designed to teach basics of programming, but most of them use special visual environments and don't teach real text based languages. But is it possible to learn programming language like Python by playing a game? In this talk I'll show you a few projects for different age and levels that allow you to achieve that. I'll pay attention on methods that are used to teach programming. I also want to inspire you to help such projects and to suggest ideas how to do that.

Fabien Bochu - Grocker, a Python build chain for Docker [EuroPython 2016] [21 July 2016 / 2016-07-21] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/grocker-a-python-build-chain-for-docker) Grocker is a Docker build chain for Python. It transforms your Python package into a self-contained Docker image which can be easily deployed in a Docker infrastructure. Grocker also adds a Docker entry point to easily start your application. ----- At Polyconseil, we build Paris electric car sharing service: Autolib'. This system is based on many services developed using web technologies, Django and our own libraries to handle business logic. Packaging is already a difficult problem, deploying large Python projects is even more difficult. When deploying on a live and user- centric system like Autolib', you cannot rely on Pip and external PyPI servers which might become unavailable and are beyond your control. In the beginning we used classic Debian packaging: it was a maintenance hell. It took hours to build our packages and update their metadata to match our Python packages. So we switched to Docker. Docker allows us to have a unique item that is deployed in production systems: code updates are now atomic and deterministic! But before deploying the Docker image, you need to build it. That's where Grocker comes in. Grocker is a Docker build chain for Python. It will transform your Python package into a self-contained Docker image which can be easily deployed in a Docker Infrastructure. Grocker also adds a Docker entry point to easily start your application.

Developers create new open-source projects every day. As the project becomes popular they have to invest more and more time into it's development and of course at some point a question arises: ""How can I make some money with my project ?"" In this talk we will try to answer this question. We will talk about different models of making money, their pros and cons. We will concentrate on Python Open-Source projects mostly and try to answer the following questions: What to sell? Where to sell? How to distribute? How to license? After this talk you will have a clear understanding of how you can make money with your project. What your next steps should be and how you can get the actual profit while still continuing making your customers happy. Please see our speaker release agreement for details: https://ep2017.europython.eu/en/speaker-release-agreement/

The talk presents results from my PhD project on models for transportation related pollution. Pollution from personal transport in Cities is a big and growing problem. By monitoring the flow, and congestion in the transport system two goals can be achieved. First, the adherence to agreed limit values (or breaking said limits) can be followed and used to decrease health effects of local pollution hotspots. Secondly, monitoring of the total emission of climate forcing gases from transportation, is important for designing climate mitigation actions. Python is used in combination with other tools to convert sensor data from smartphones, into pollution concentrations in urban settings. To mitigate the lack of complete data coverage, the missing data is simulated by a traffic model, to locate congestion and model the traffic related pollution concentration. Please see our speaker release agreement for details: https://ep2017.europython.eu/en/speaker-release-agreement/

Brought to you by the EuroPython 2017 Team and the EuroPython Society. Enjoy, -- EuroPython 2017 Team https://ep2017.europython.eu/ http://www.europython-society.org/ Please see our speaker release agreement for details: https://ep2017.europython.eu/en/speaker-release-agreement/

A discussion about making full-featured, commercial games in python, both 2D and 3D. Looking at state of the art approaches to using python in gaming, we will compare the alternatives: pygame (2D API), OpenGL (via pygame/pySDL2), Unreal Engine 4 and the Godot Engine (with further comparison to Unity 3D game engine). We will also look at other benefits of using python in the gaming context, such as integration with 3D modelling software, scripting the asset pipeline and GIS data integration. Finally, can (and should) python move beyond being the language of plugins and scripts, and become the main language for creating game development projects? Please see our speaker release agreement for details: https://ep2017.europython.eu/en/speaker-release-agreement/

There is no want of technologies for doing scientific calculations in Python. In this talk I will share some hard-learned knowledge about what works and what doesn't with the libraries we are using at GEM (the Global Earthquake Model foundation). I will show how the following libraries fare with respect to our main concerns of performance, simplicity, reliability and portability and I will talk about several library bugs we found and had to work around. I will also talk about some libraries that we do not use (such as cython, numba, dask, pytables, ...) and the reason why we do not use them. Hopefully this will be useful to people using or planning to use a similar software stack. My slides are here: https://gitpitch.com/micheles/papers/europython2018 Please see our speaker release agreement for details: https://ep2018.europython.eu/en/speaker-release-agreement/

Python has gained quite some traction in the web development world and more recently as the goto language for anything that has to do with data science. However, it's use in the enterprise world of applications is rather limited. Based on the author's many years experience in working in enterprise environments, the talk will demonstrate areas in the business application space where Python has significant advantages over other languages, but which are currently dominated by applications written in Java, C++ or C#. There are huge opportunities out there for companies to excel at and use the Python advantage to their benefit. If you are looking for a lead idea to kick start your Python business (and you have the resources to invest into marketing), this talk is for you. Please see our speaker release agreement for details: https://ep2018.europython.eu/en/speaker-release-agreement/

Python has become the defacto standard tool for many people to write tools, command scripts, smaller applications and even large applications. On Windows, it is fairly easy to build application bundles using e.g. py2exe, but on Unix, the situation is less obvious, unless you want to rely on OS specific Python distributions, which often require severall 100MB with of installation on the system and are usually customized in distribution specific ways. Instead of relying on OS installed Python distributions on Unix, our open-source eGenix PyRun provides a more or less complete Python runtime (interpreter and stdlib modules) in a single file, which can be ""installed"" by simply copying the binary to the destination system. The file can be as small as 4.8MB for Python 3.7, by using compressors such as upx. Due to its size, it's also the perfect Python distribution for Docker containers. The talk will show how PyRun works, is built, how to customize it to include additional modules and applications. Please see our speaker release agreement for details: https://ep2019.europython.eu/events/speaker-release-agreement/

This has been mitigated with tooling and education, but for the most part it requires human action and decision. While most codebases have somewhere between tens and thousands of Python modules, some companies may maintain a codebase with millions of modules. This presentation covers techniques and tooling that Google created to enable the developers to scope their migration needs, plan the work required, execute effectively at scale and collaborate across teams/dependencies. Please see our speaker release agreement for details: https://ep2020.europython.eu/events/speaker-release-agreement/

Thought we have the Holy hand granade might need the Helmet to go with it.

Keynote: How Python Slithered into Astronomy Perry Greenfield

Python natalensis Environs of Kevin Richardson Wildlife Sanctuary Welgedarcht, South Africa, 26 Aug. 2015. Source: https://www.flickr.com/photos/158579216@N07/37186645650 Uploader: Victoria Paine

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Archive for sysinfo_python

None Source: https://www.twitch.tv/videos/368311873 Uploader: YifanLu

Gmane.io newsgroup crawl

I tweaked the previous design to fit Colt Python, testing using 2020 4 in Python. This should work with previous version of classic Pythons as well.

This is an adapter to fit a python water changing system to fit 1/2 inch hose for more detailed cleaning around rocks wood plants or decorations

Python

Monty Python

Rounding out season 7 Darren and Shannon meetup to take on iOS 4 jailbreaking, followed by a roundabout way to stream media anywhere online using some open source python scripts. Toss in a little VirtualBox PHP front-ends and Untangle tweaks for good measure. Then Shannon has just the tools to detect network throttling. All that and more on this episode of Hak5!

chotu

This is an archive of the project's publicly available source code and (where available) wiki repositories in bare git format, as well as related issues, pull requests and similar data from Github in JSON format, created on 2025-03-04. Project 'command-line-scripts-in-python' from agency 'GSA', organization 'GSA-TTS'. Original project description: An example for discussion.

Jupyter notebook for Python And AI For Remote Sensing

Seeing that a while loop can do the same thing as a for loop

I’m currently learning Python Programming to build a strong foundation in coding. This course is helping me understand how to write clean, efficient code and solve real-world problems using Python. I'm excited to apply these skills in web development, data analysis, and automation.

I’m currently learning Python Programming to build a strong foundation in coding. This course is helping me understand how to write clean, efficient code and solve real-world problems using Python. I'm excited to apply these skills in web development, data analysis, and automation.

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