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Learning Python by Mark Lutz
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1[LinkedInx Learning] - Técnicas Avançadas De Python
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“[LinkedInx Learning] - Técnicas Avançadas De Python” Metadata:
- Title: ➤ [LinkedInx Learning] - Técnicas Avançadas De Python
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- Internet Archive ID: 20211111_20211111_2240
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2ERIC ED590389: 2018 Brick & Click: An Academic Library Conference (18th, Maryville, Missouri, November 2, 2018) Sixteen Scholarly Papers And Twenty Abstracts Comprise The Content Of The Eighteenth Annual Brick & Click Libraries Conference, Held Annually At Northwest Missouri State University In Maryville, Missouri. The Proceedings, Authored By Academic Librarians And Presented At The Conference, Portray The Contemporary And Future Face Of Librarianship. The 2018 Paper And Abstract Titles Include: (1) Committee On Diversity & Inclusion: Cultivating An Inclusive Library Environment (Orolando Duffus, Andrea Malone, Margaret Dunn, Lisa Cruces, Matthew Moore, Annie Wu, And Frederick Young); (2) Checking Out The LGBT+ (Kayla Reed); (3) Tailoring Library Instruction To Adult Students: Applying The Science And Methods Of Andragogy For Modern Instructional And Reference Services (Eric Deatherage And Jason Smith); (4) Library-Faculty Collaboration For OER Promotion And Implementation (Paula Martin); (5) The Facts Of Fiction: Research For Creative Writers (Addison Lucchi); (6) Location And The Collection Connection (Kayla Reed And Amber Carr); (7) Gay For No Pay: How To Maintain An LGBTQ+ Collection With No Budget (Rachel Wexelbaum); (8) A Step Up: Piloting Integrated Information Literacy Instruction Throughout A Discipline (Nathan Elwood And Robyn Hartman); (9) Not Just A Collection: The Emergence And Evolution Of Our Contemporary Collection (Hong Li And Kayla Reed); (10) Flipster: How One Community College Library Supports Faculty And Student Academic Needs With Flipster Digital Magazines (Stephen Ambra); (11) Three Ring Circus: A Model For Understanding And Teaching Students About Bias (Virginia Cairns); (12) Demystifying DH: How To Get Started With Digital Humanities (Sherri Brown And Forstot Burke); (13) Academic Libraries Embracing Technology With A Purpose (Lavoris Martin); (14) (A)ffective Management: A People First Management Approach (Ryan Weir); (15) Plugged & Unplugged Active Learning Strategies For One Shots (Judy Bastin, Justina Mollach, Leslie Pierson, Ruth Harries, And Teresa Mayginnes); (16) Giving A Booster Shot To Your One Shot: Incorporating Engaging Activities Into Library Instruction (Kelly Leahy, Gwen Wilson, And Angela Beatie); (17) Adventures With Omeka.net: Metadata, Workflows, And Exhibit-based Storytelling At UNO Libraries (Yumi Ohira, Angela Kroeger, And Lori Schwartz); (18) Online Badge Classes For High School Students (Angela Paul); (19) Fake News: The Fun, The Fear, And The Future Of Resource Evaluation (Lindsay Brownfield); (20) Making Outreach The Library's Mission (April K. Miller); (21) Active Learning For Metaliteracies: Digital Modules From The New Literacies Alliance (Rachel R. Vukas, Prasanna Vaduvathiriyan, And Brenda Linares); (22) Calculating Return On Investment In Libraries (Nicholas Wyant); (23) Crossing Borders: Expanding Digitization Efforts Across Library Departments (Jay Trask, Jane Monson, And Jessica Hayden); (24) From Silos To Collaboration (Joyce Meldrem); (25) Key Performance Indicator Tracking Using Google Forms (Joshua Lambert); (26) Bridging The Gap: Providing Equal Access Of Library Resources And Services To Distance Learners (Nancy Crabtree, Xiaocan (Lucy) Wang, Bob Black); (27) Coming To The Plains: Latino/a Stories In Nebraska (Laurinda Weisse, Michelle Warren, And Jacob Rosdail); (28) Five Keys To #SocialMediaSuccess In Academic Libraries (Hannah E. Christian And Alison Hanner); (29) Easy Information Literacy Assessments For Small Academic Libraries (Julie Pinnell); (30) Traversing The Path: A Library Director's Guide To The Higher Learning Commission's Open Pathway For Accreditation (Sandy Moore); (31) Drawing Magic: Visualizing The Internet To Introduce Information Literacy (Kelly Leahy); (32) Chatspeak For Librarians: Best Practices For Chat Reference (Tanner D. Lewey); (33) The Creative Learning Spiral: A Python Learner In The Library (Greta Valentine); (34) The Poet's Papers: Literary Research In The Small College Archives (Martha A. Tanner); (35) Giving Students An Edge: Enhancing Resumes With A Digital Information Research Certificate (Rachel R. Vukas); And (36) Where Did You Get That EBook? Comparison Of Student/Faculty Use Of EBooks, Library Space, And Citation Management Programs (Alice B. Ruleman). (Individual Papers Contain References.) [For The 2017 Proceedings, See ED578189.]
By ERIC
Sixteen scholarly papers and twenty abstracts comprise the content of the eighteenth annual Brick & Click Libraries Conference, held annually at Northwest Missouri State University in Maryville, Missouri. The proceedings, authored by academic librarians and presented at the conference, portray the contemporary and future face of librarianship. The 2018 paper and abstract titles include: (1) Committee on Diversity & Inclusion: Cultivating an Inclusive Library Environment (Orolando Duffus, Andrea Malone, Margaret Dunn, Lisa Cruces, Matthew Moore, Annie Wu, and Frederick Young); (2) Checking Out the LGBT+ (Kayla Reed); (3) Tailoring Library Instruction to Adult Students: Applying the Science and Methods of Andragogy for Modern Instructional and Reference Services (Eric Deatherage and Jason Smith); (4) Library-Faculty Collaboration for OER Promotion and Implementation (Paula Martin); (5) The Facts of Fiction: Research for Creative Writers (Addison Lucchi); (6) Location and the Collection Connection (Kayla Reed and Amber Carr); (7) Gay for No Pay: How to Maintain an LGBTQ+ Collection with No Budget (Rachel Wexelbaum); (8) A Step Up: Piloting Integrated Information Literacy Instruction Throughout a Discipline (Nathan Elwood and Robyn Hartman); (9) Not Just a Collection: The Emergence and Evolution of Our Contemporary Collection (Hong Li and Kayla Reed); (10) Flipster: How One Community College Library Supports Faculty and Student Academic Needs with Flipster Digital Magazines (Stephen Ambra); (11) Three Ring Circus: A Model for Understanding and Teaching Students about Bias (Virginia Cairns); (12) Demystifying DH: How to Get Started with Digital Humanities (Sherri Brown and Forstot Burke); (13) Academic Libraries Embracing Technology with a Purpose (Lavoris Martin); (14) (A)ffective Management: A People First Management Approach (Ryan Weir); (15) Plugged & Unplugged Active Learning Strategies for One Shots (Judy Bastin, Justina Mollach, Leslie Pierson, Ruth Harries, and Teresa Mayginnes); (16) Giving a Booster Shot to Your One Shot: Incorporating Engaging Activities into Library Instruction (Kelly Leahy, Gwen Wilson, and Angela Beatie); (17) Adventures with Omeka.net: Metadata, Workflows, and Exhibit-based Storytelling at UNO Libraries (Yumi Ohira, Angela Kroeger, and Lori Schwartz); (18) Online Badge Classes for High School Students (Angela Paul); (19) Fake News: The Fun, the Fear, and the Future of Resource Evaluation (Lindsay Brownfield); (20) Making Outreach the Library's Mission (April K. Miller); (21) Active Learning for Metaliteracies: Digital Modules from the New Literacies Alliance (Rachel R. Vukas, Prasanna Vaduvathiriyan, and Brenda Linares); (22) Calculating Return on Investment in Libraries (Nicholas Wyant); (23) Crossing Borders: Expanding Digitization Efforts Across Library Departments (Jay Trask, Jane Monson, and Jessica Hayden); (24) From Silos to Collaboration (Joyce Meldrem); (25) Key Performance Indicator Tracking Using Google Forms (Joshua Lambert); (26) Bridging the Gap: Providing Equal Access of Library Resources and Services to Distance Learners (Nancy Crabtree, Xiaocan (Lucy) Wang, Bob Black); (27) Coming to the Plains: Latino/a Stories in Nebraska (Laurinda Weisse, Michelle Warren, and Jacob Rosdail); (28) Five Keys to #SocialMediaSuccess in Academic Libraries (Hannah E. Christian and Alison Hanner); (29) Easy Information Literacy Assessments for Small Academic Libraries (Julie Pinnell); (30) Traversing the Path: A Library Director's Guide to the Higher Learning Commission's Open Pathway for Accreditation (Sandy Moore); (31) Drawing Magic: Visualizing the Internet to Introduce Information Literacy (Kelly Leahy); (32) Chatspeak for Librarians: Best Practices for Chat Reference (Tanner D. Lewey); (33) The Creative Learning Spiral: A Python Learner in the Library (Greta Valentine); (34) The Poet's Papers: Literary Research in the Small College Archives (Martha A. Tanner); (35) Giving Students an Edge: Enhancing Resumes with a Digital Information Research Certificate (Rachel R. Vukas); and (36) Where Did You Get That eBook? Comparison of Student/Faculty Use of eBooks, Library Space, and Citation Management Programs (Alice B. Ruleman). (Individual papers contain references.) [For the 2017 proceedings, see ED578189.]
“ERIC ED590389: 2018 Brick & Click: An Academic Library Conference (18th, Maryville, Missouri, November 2, 2018) Sixteen Scholarly Papers And Twenty Abstracts Comprise The Content Of The Eighteenth Annual Brick & Click Libraries Conference, Held Annually At Northwest Missouri State University In Maryville, Missouri. The Proceedings, Authored By Academic Librarians And Presented At The Conference, Portray The Contemporary And Future Face Of Librarianship. The 2018 Paper And Abstract Titles Include: (1) Committee On Diversity & Inclusion: Cultivating An Inclusive Library Environment (Orolando Duffus, Andrea Malone, Margaret Dunn, Lisa Cruces, Matthew Moore, Annie Wu, And Frederick Young); (2) Checking Out The LGBT+ (Kayla Reed); (3) Tailoring Library Instruction To Adult Students: Applying The Science And Methods Of Andragogy For Modern Instructional And Reference Services (Eric Deatherage And Jason Smith); (4) Library-Faculty Collaboration For OER Promotion And Implementation (Paula Martin); (5) The Facts Of Fiction: Research For Creative Writers (Addison Lucchi); (6) Location And The Collection Connection (Kayla Reed And Amber Carr); (7) Gay For No Pay: How To Maintain An LGBTQ+ Collection With No Budget (Rachel Wexelbaum); (8) A Step Up: Piloting Integrated Information Literacy Instruction Throughout A Discipline (Nathan Elwood And Robyn Hartman); (9) Not Just A Collection: The Emergence And Evolution Of Our Contemporary Collection (Hong Li And Kayla Reed); (10) Flipster: How One Community College Library Supports Faculty And Student Academic Needs With Flipster Digital Magazines (Stephen Ambra); (11) Three Ring Circus: A Model For Understanding And Teaching Students About Bias (Virginia Cairns); (12) Demystifying DH: How To Get Started With Digital Humanities (Sherri Brown And Forstot Burke); (13) Academic Libraries Embracing Technology With A Purpose (Lavoris Martin); (14) (A)ffective Management: A People First Management Approach (Ryan Weir); (15) Plugged & Unplugged Active Learning Strategies For One Shots (Judy Bastin, Justina Mollach, Leslie Pierson, Ruth Harries, And Teresa Mayginnes); (16) Giving A Booster Shot To Your One Shot: Incorporating Engaging Activities Into Library Instruction (Kelly Leahy, Gwen Wilson, And Angela Beatie); (17) Adventures With Omeka.net: Metadata, Workflows, And Exhibit-based Storytelling At UNO Libraries (Yumi Ohira, Angela Kroeger, And Lori Schwartz); (18) Online Badge Classes For High School Students (Angela Paul); (19) Fake News: The Fun, The Fear, And The Future Of Resource Evaluation (Lindsay Brownfield); (20) Making Outreach The Library's Mission (April K. Miller); (21) Active Learning For Metaliteracies: Digital Modules From The New Literacies Alliance (Rachel R. Vukas, Prasanna Vaduvathiriyan, And Brenda Linares); (22) Calculating Return On Investment In Libraries (Nicholas Wyant); (23) Crossing Borders: Expanding Digitization Efforts Across Library Departments (Jay Trask, Jane Monson, And Jessica Hayden); (24) From Silos To Collaboration (Joyce Meldrem); (25) Key Performance Indicator Tracking Using Google Forms (Joshua Lambert); (26) Bridging The Gap: Providing Equal Access Of Library Resources And Services To Distance Learners (Nancy Crabtree, Xiaocan (Lucy) Wang, Bob Black); (27) Coming To The Plains: Latino/a Stories In Nebraska (Laurinda Weisse, Michelle Warren, And Jacob Rosdail); (28) Five Keys To #SocialMediaSuccess In Academic Libraries (Hannah E. Christian And Alison Hanner); (29) Easy Information Literacy Assessments For Small Academic Libraries (Julie Pinnell); (30) Traversing The Path: A Library Director's Guide To The Higher Learning Commission's Open Pathway For Accreditation (Sandy Moore); (31) Drawing Magic: Visualizing The Internet To Introduce Information Literacy (Kelly Leahy); (32) Chatspeak For Librarians: Best Practices For Chat Reference (Tanner D. Lewey); (33) The Creative Learning Spiral: A Python Learner In The Library (Greta Valentine); (34) The Poet's Papers: Literary Research In The Small College Archives (Martha A. Tanner); (35) Giving Students An Edge: Enhancing Resumes With A Digital Information Research Certificate (Rachel R. Vukas); And (36) Where Did You Get That EBook? Comparison Of Student/Faculty Use Of EBooks, Library Space, And Citation Management Programs (Alice B. Ruleman). (Individual Papers Contain References.) [For The 2017 Proceedings, See ED578189.]” Metadata:
- Title: ➤ ERIC ED590389: 2018 Brick & Click: An Academic Library Conference (18th, Maryville, Missouri, November 2, 2018) Sixteen Scholarly Papers And Twenty Abstracts Comprise The Content Of The Eighteenth Annual Brick & Click Libraries Conference, Held Annually At Northwest Missouri State University In Maryville, Missouri. The Proceedings, Authored By Academic Librarians And Presented At The Conference, Portray The Contemporary And Future Face Of Librarianship. The 2018 Paper And Abstract Titles Include: (1) Committee On Diversity & Inclusion: Cultivating An Inclusive Library Environment (Orolando Duffus, Andrea Malone, Margaret Dunn, Lisa Cruces, Matthew Moore, Annie Wu, And Frederick Young); (2) Checking Out The LGBT+ (Kayla Reed); (3) Tailoring Library Instruction To Adult Students: Applying The Science And Methods Of Andragogy For Modern Instructional And Reference Services (Eric Deatherage And Jason Smith); (4) Library-Faculty Collaboration For OER Promotion And Implementation (Paula Martin); (5) The Facts Of Fiction: Research For Creative Writers (Addison Lucchi); (6) Location And The Collection Connection (Kayla Reed And Amber Carr); (7) Gay For No Pay: How To Maintain An LGBTQ+ Collection With No Budget (Rachel Wexelbaum); (8) A Step Up: Piloting Integrated Information Literacy Instruction Throughout A Discipline (Nathan Elwood And Robyn Hartman); (9) Not Just A Collection: The Emergence And Evolution Of Our Contemporary Collection (Hong Li And Kayla Reed); (10) Flipster: How One Community College Library Supports Faculty And Student Academic Needs With Flipster Digital Magazines (Stephen Ambra); (11) Three Ring Circus: A Model For Understanding And Teaching Students About Bias (Virginia Cairns); (12) Demystifying DH: How To Get Started With Digital Humanities (Sherri Brown And Forstot Burke); (13) Academic Libraries Embracing Technology With A Purpose (Lavoris Martin); (14) (A)ffective Management: A People First Management Approach (Ryan Weir); (15) Plugged & Unplugged Active Learning Strategies For One Shots (Judy Bastin, Justina Mollach, Leslie Pierson, Ruth Harries, And Teresa Mayginnes); (16) Giving A Booster Shot To Your One Shot: Incorporating Engaging Activities Into Library Instruction (Kelly Leahy, Gwen Wilson, And Angela Beatie); (17) Adventures With Omeka.net: Metadata, Workflows, And Exhibit-based Storytelling At UNO Libraries (Yumi Ohira, Angela Kroeger, And Lori Schwartz); (18) Online Badge Classes For High School Students (Angela Paul); (19) Fake News: The Fun, The Fear, And The Future Of Resource Evaluation (Lindsay Brownfield); (20) Making Outreach The Library's Mission (April K. Miller); (21) Active Learning For Metaliteracies: Digital Modules From The New Literacies Alliance (Rachel R. Vukas, Prasanna Vaduvathiriyan, And Brenda Linares); (22) Calculating Return On Investment In Libraries (Nicholas Wyant); (23) Crossing Borders: Expanding Digitization Efforts Across Library Departments (Jay Trask, Jane Monson, And Jessica Hayden); (24) From Silos To Collaboration (Joyce Meldrem); (25) Key Performance Indicator Tracking Using Google Forms (Joshua Lambert); (26) Bridging The Gap: Providing Equal Access Of Library Resources And Services To Distance Learners (Nancy Crabtree, Xiaocan (Lucy) Wang, Bob Black); (27) Coming To The Plains: Latino/a Stories In Nebraska (Laurinda Weisse, Michelle Warren, And Jacob Rosdail); (28) Five Keys To #SocialMediaSuccess In Academic Libraries (Hannah E. Christian And Alison Hanner); (29) Easy Information Literacy Assessments For Small Academic Libraries (Julie Pinnell); (30) Traversing The Path: A Library Director's Guide To The Higher Learning Commission's Open Pathway For Accreditation (Sandy Moore); (31) Drawing Magic: Visualizing The Internet To Introduce Information Literacy (Kelly Leahy); (32) Chatspeak For Librarians: Best Practices For Chat Reference (Tanner D. Lewey); (33) The Creative Learning Spiral: A Python Learner In The Library (Greta Valentine); (34) The Poet's Papers: Literary Research In The Small College Archives (Martha A. Tanner); (35) Giving Students An Edge: Enhancing Resumes With A Digital Information Research Certificate (Rachel R. Vukas); And (36) Where Did You Get That EBook? Comparison Of Student/Faculty Use Of EBooks, Library Space, And Citation Management Programs (Alice B. Ruleman). (Individual Papers Contain References.) [For The 2017 Proceedings, See ED578189.]
- Author: ERIC
- Language: English
“ERIC ED590389: 2018 Brick & Click: An Academic Library Conference (18th, Maryville, Missouri, November 2, 2018) Sixteen Scholarly Papers And Twenty Abstracts Comprise The Content Of The Eighteenth Annual Brick & Click Libraries Conference, Held Annually At Northwest Missouri State University In Maryville, Missouri. The Proceedings, Authored By Academic Librarians And Presented At The Conference, Portray The Contemporary And Future Face Of Librarianship. The 2018 Paper And Abstract Titles Include: (1) Committee On Diversity & Inclusion: Cultivating An Inclusive Library Environment (Orolando Duffus, Andrea Malone, Margaret Dunn, Lisa Cruces, Matthew Moore, Annie Wu, And Frederick Young); (2) Checking Out The LGBT+ (Kayla Reed); (3) Tailoring Library Instruction To Adult Students: Applying The Science And Methods Of Andragogy For Modern Instructional And Reference Services (Eric Deatherage And Jason Smith); (4) Library-Faculty Collaboration For OER Promotion And Implementation (Paula Martin); (5) The Facts Of Fiction: Research For Creative Writers (Addison Lucchi); (6) Location And The Collection Connection (Kayla Reed And Amber Carr); (7) Gay For No Pay: How To Maintain An LGBTQ+ Collection With No Budget (Rachel Wexelbaum); (8) A Step Up: Piloting Integrated Information Literacy Instruction Throughout A Discipline (Nathan Elwood And Robyn Hartman); (9) Not Just A Collection: The Emergence And Evolution Of Our Contemporary Collection (Hong Li And Kayla Reed); (10) Flipster: How One Community College Library Supports Faculty And Student Academic Needs With Flipster Digital Magazines (Stephen Ambra); (11) Three Ring Circus: A Model For Understanding And Teaching Students About Bias (Virginia Cairns); (12) Demystifying DH: How To Get Started With Digital Humanities (Sherri Brown And Forstot Burke); (13) Academic Libraries Embracing Technology With A Purpose (Lavoris Martin); (14) (A)ffective Management: A People First Management Approach (Ryan Weir); (15) Plugged & Unplugged Active Learning Strategies For One Shots (Judy Bastin, Justina Mollach, Leslie Pierson, Ruth Harries, And Teresa Mayginnes); (16) Giving A Booster Shot To Your One Shot: Incorporating Engaging Activities Into Library Instruction (Kelly Leahy, Gwen Wilson, And Angela Beatie); (17) Adventures With Omeka.net: Metadata, Workflows, And Exhibit-based Storytelling At UNO Libraries (Yumi Ohira, Angela Kroeger, And Lori Schwartz); (18) Online Badge Classes For High School Students (Angela Paul); (19) Fake News: The Fun, The Fear, And The Future Of Resource Evaluation (Lindsay Brownfield); (20) Making Outreach The Library's Mission (April K. Miller); (21) Active Learning For Metaliteracies: Digital Modules From The New Literacies Alliance (Rachel R. Vukas, Prasanna Vaduvathiriyan, And Brenda Linares); (22) Calculating Return On Investment In Libraries (Nicholas Wyant); (23) Crossing Borders: Expanding Digitization Efforts Across Library Departments (Jay Trask, Jane Monson, And Jessica Hayden); (24) From Silos To Collaboration (Joyce Meldrem); (25) Key Performance Indicator Tracking Using Google Forms (Joshua Lambert); (26) Bridging The Gap: Providing Equal Access Of Library Resources And Services To Distance Learners (Nancy Crabtree, Xiaocan (Lucy) Wang, Bob Black); (27) Coming To The Plains: Latino/a Stories In Nebraska (Laurinda Weisse, Michelle Warren, And Jacob Rosdail); (28) Five Keys To #SocialMediaSuccess In Academic Libraries (Hannah E. Christian And Alison Hanner); (29) Easy Information Literacy Assessments For Small Academic Libraries (Julie Pinnell); (30) Traversing The Path: A Library Director's Guide To The Higher Learning Commission's Open Pathway For Accreditation (Sandy Moore); (31) Drawing Magic: Visualizing The Internet To Introduce Information Literacy (Kelly Leahy); (32) Chatspeak For Librarians: Best Practices For Chat Reference (Tanner D. Lewey); (33) The Creative Learning Spiral: A Python Learner In The Library (Greta Valentine); (34) The Poet's Papers: Literary Research In The Small College Archives (Martha A. Tanner); (35) Giving Students An Edge: Enhancing Resumes With A Digital Information Research Certificate (Rachel R. Vukas); And (36) Where Did You Get That EBook? Comparison Of Student/Faculty Use Of EBooks, Library Space, And Citation Management Programs (Alice B. Ruleman). (Individual Papers Contain References.) [For The 2017 Proceedings, See ED578189.]” Subjects and Themes:
- Subjects: ➤ ERIC Archive - ERIC - Baudino, Frank, Ed. Johnson, Carolyn, Ed. Young, Natasha, Ed. Weese, Bailey, Ed. Academic Libraries - Inclusion - Homosexuality - Sexual Orientation - Sexual Identity - Library Instruction - Adult Students - Andragogy - Reference Services - Library Services - Librarian Teacher Cooperation - College Faculty - Creative Writing - Library Materials - Geographic Location - Information Literacy - Community Colleges - Periodicals - Bias - Humanities - Electronic Libraries - Library Administration - Active Learning - Learning Activities - Metadata - Story Telling - High School Students - College Students - Online Courses - Outreach Programs - Institutional Mission - Access to Information - Distance Education - Hispanic Americans - Social Media - Accreditation (Institutions) - Internet - Best Practices - Archives - Resumes (Personal) - Research Skills - Books - Electronic Publishing - Comparative Analysis - Citations (References) - Computer Software - Library Facilities - Space Utilization - Use Studies - Educational Resources - Programming Languages
Edition Identifiers:
- Internet Archive ID: ERIC_ED590389
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The book is available for download in "texts" format, the size of the file-s is: 109.10 Mbs, the file-s for this book were downloaded 114 times, the file-s went public at Wed May 24 2023.
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Find ERIC ED590389: 2018 Brick & Click: An Academic Library Conference (18th, Maryville, Missouri, November 2, 2018) Sixteen Scholarly Papers And Twenty Abstracts Comprise The Content Of The Eighteenth Annual Brick & Click Libraries Conference, Held Annually At Northwest Missouri State University In Maryville, Missouri. The Proceedings, Authored By Academic Librarians And Presented At The Conference, Portray The Contemporary And Future Face Of Librarianship. The 2018 Paper And Abstract Titles Include: (1) Committee On Diversity & Inclusion: Cultivating An Inclusive Library Environment (Orolando Duffus, Andrea Malone, Margaret Dunn, Lisa Cruces, Matthew Moore, Annie Wu, And Frederick Young); (2) Checking Out The LGBT+ (Kayla Reed); (3) Tailoring Library Instruction To Adult Students: Applying The Science And Methods Of Andragogy For Modern Instructional And Reference Services (Eric Deatherage And Jason Smith); (4) Library-Faculty Collaboration For OER Promotion And Implementation (Paula Martin); (5) The Facts Of Fiction: Research For Creative Writers (Addison Lucchi); (6) Location And The Collection Connection (Kayla Reed And Amber Carr); (7) Gay For No Pay: How To Maintain An LGBTQ+ Collection With No Budget (Rachel Wexelbaum); (8) A Step Up: Piloting Integrated Information Literacy Instruction Throughout A Discipline (Nathan Elwood And Robyn Hartman); (9) Not Just A Collection: The Emergence And Evolution Of Our Contemporary Collection (Hong Li And Kayla Reed); (10) Flipster: How One Community College Library Supports Faculty And Student Academic Needs With Flipster Digital Magazines (Stephen Ambra); (11) Three Ring Circus: A Model For Understanding And Teaching Students About Bias (Virginia Cairns); (12) Demystifying DH: How To Get Started With Digital Humanities (Sherri Brown And Forstot Burke); (13) Academic Libraries Embracing Technology With A Purpose (Lavoris Martin); (14) (A)ffective Management: A People First Management Approach (Ryan Weir); (15) Plugged & Unplugged Active Learning Strategies For One Shots (Judy Bastin, Justina Mollach, Leslie Pierson, Ruth Harries, And Teresa Mayginnes); (16) Giving A Booster Shot To Your One Shot: Incorporating Engaging Activities Into Library Instruction (Kelly Leahy, Gwen Wilson, And Angela Beatie); (17) Adventures With Omeka.net: Metadata, Workflows, And Exhibit-based Storytelling At UNO Libraries (Yumi Ohira, Angela Kroeger, And Lori Schwartz); (18) Online Badge Classes For High School Students (Angela Paul); (19) Fake News: The Fun, The Fear, And The Future Of Resource Evaluation (Lindsay Brownfield); (20) Making Outreach The Library's Mission (April K. Miller); (21) Active Learning For Metaliteracies: Digital Modules From The New Literacies Alliance (Rachel R. Vukas, Prasanna Vaduvathiriyan, And Brenda Linares); (22) Calculating Return On Investment In Libraries (Nicholas Wyant); (23) Crossing Borders: Expanding Digitization Efforts Across Library Departments (Jay Trask, Jane Monson, And Jessica Hayden); (24) From Silos To Collaboration (Joyce Meldrem); (25) Key Performance Indicator Tracking Using Google Forms (Joshua Lambert); (26) Bridging The Gap: Providing Equal Access Of Library Resources And Services To Distance Learners (Nancy Crabtree, Xiaocan (Lucy) Wang, Bob Black); (27) Coming To The Plains: Latino/a Stories In Nebraska (Laurinda Weisse, Michelle Warren, And Jacob Rosdail); (28) Five Keys To #SocialMediaSuccess In Academic Libraries (Hannah E. Christian And Alison Hanner); (29) Easy Information Literacy Assessments For Small Academic Libraries (Julie Pinnell); (30) Traversing The Path: A Library Director's Guide To The Higher Learning Commission's Open Pathway For Accreditation (Sandy Moore); (31) Drawing Magic: Visualizing The Internet To Introduce Information Literacy (Kelly Leahy); (32) Chatspeak For Librarians: Best Practices For Chat Reference (Tanner D. Lewey); (33) The Creative Learning Spiral: A Python Learner In The Library (Greta Valentine); (34) The Poet's Papers: Literary Research In The Small College Archives (Martha A. Tanner); (35) Giving Students An Edge: Enhancing Resumes With A Digital Information Research Certificate (Rachel R. Vukas); And (36) Where Did You Get That EBook? Comparison Of Student/Faculty Use Of EBooks, Library Space, And Citation Management Programs (Alice B. Ruleman). (Individual Papers Contain References.) [For The 2017 Proceedings, See ED578189.] at online marketplaces:
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3[EuroPython 2019] Thomas Kluiters - Securely Executing Python Machine Learning Models With Distroless Images At ING
Executing machine learning models in a production environment can be tricky, especially at a major bank where compliance and risk are carefully taken into account. In this talk I explain how, we, at ING (a large bank operating on global scale), execute our Python models in a production environment by building minimal Docker images for python versions. I will first talk about the possible security risks of running any docker container in a production environment. Then I will talk about ways in which we can make Docker containers more secure by building minimal docker images for Python. Finally I will explain how these docker images are used in practice to serve machine learning models at ING. Prerequisites: - Some basic knowledge of Docker can be helpful - Some basic understanding of security can be helpful Goals: - Understand the security risks of running docker containers - Know how to make docker images more secure - How to build secure model serving docker images Please see our speaker release agreement for details: https://ep2019.europython.eu/events/speaker-release-agreement/
“[EuroPython 2019] Thomas Kluiters - Securely Executing Python Machine Learning Models With Distroless Images At ING” Metadata:
- Title: ➤ [EuroPython 2019] Thomas Kluiters - Securely Executing Python Machine Learning Models With Distroless Images At ING
- Language: English
“[EuroPython 2019] Thomas Kluiters - Securely Executing Python Machine Learning Models With Distroless Images At ING” Subjects and Themes:
- Subjects: ➤ Data Science - Docker - Machine-Learning - Operations - Security - EuroPython2019 - Python
Edition Identifiers:
- Internet Archive ID: Europython_2019_YWujJSHp
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The book is available for download in "movies" format, the size of the file-s is: 1833.89 Mbs, the file-s for this book were downloaded 38 times, the file-s went public at Thu Nov 05 2020.
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Find [EuroPython 2019] Thomas Kluiters - Securely Executing Python Machine Learning Models With Distroless Images At ING at online marketplaces:
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4Learning_Python_-_O_Reilly_4th_Edition
Executing machine learning models in a production environment can be tricky, especially at a major bank where compliance and risk are carefully taken into account. In this talk I explain how, we, at ING (a large bank operating on global scale), execute our Python models in a production environment by building minimal Docker images for python versions. I will first talk about the possible security risks of running any docker container in a production environment. Then I will talk about ways in which we can make Docker containers more secure by building minimal docker images for Python. Finally I will explain how these docker images are used in practice to serve machine learning models at ING. Prerequisites: - Some basic knowledge of Docker can be helpful - Some basic understanding of security can be helpful Goals: - Understand the security risks of running docker containers - Know how to make docker images more secure - How to build secure model serving docker images Please see our speaker release agreement for details: https://ep2019.europython.eu/events/speaker-release-agreement/
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5Learning Python
Learn Python from start to end
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6Learning Python. Network. Programming( 2015, Sarker, Washington; Packt)
By Mourad1966
Welcome to the world of network programming with Python. Python is a full-featured object-oriented programming language with a standard library that includes everything needed to rapidly build powerful network applications. In addition, it has a multitude of third-party libraries and packages that extend Python to every sphere of network programming. Combined with the fun of using Python, with this book, we hope to get you started on your journey so that you master these tools and produce some great networking code. In this book, we are squarely targeting Python 3. Although Python 3 is still establishing itself as the successor to Python 2, version 3 is the future of the language, and we want to demonstrate that it is ready for network programming prime time. It offers many improvements over the previous version, many of which improve the network programming experience, with enhanced standard library modules and new additions. We hope you enjoy this introduction to network programming with Python. Dr. M. O. Faruque Sarker Sam Washington
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7Persian Python Learning
learning programming with python in persian
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8Machine Learning With Pytorch And Scikit-Learn: Develop Machine Learning And Deep Learning Models With Python
By Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili and Dmytro Dzhulgakov
learning programming with python in persian
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- Authors: Sebastian RaschkaYuxi (Hayden) LiuVahid MirjaliliDmytro Dzhulgakov
- Language: English
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9Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (08 - Polynomial Regression)
Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (08 - Polynomial Regression)
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10Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (22 - Random Forest Classification)
Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (22 - Random Forest Classification)
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11Learning Scientific Programming With Python
By Hill, Christian, 1974- author
Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (22 - Random Forest Classification)
“Learning Scientific Programming With Python” Metadata:
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- Author: Hill, Christian, 1974- author
- Language: English
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- Subjects: ➤ Science -- Data processing - Science -- Mathematics - Python (Computer program language) - Sciences -- Informatique - Sciences -- Mathématiques - Python (Langage de programmation) - SCIENCE -- Mathematical Physics - Wissenschaftliches Rechnen - Python Programmiersprache
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12Learning Python
By Lutz, Mark
Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (22 - Random Forest Classification)
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- Author: Lutz, Mark
- Language: English
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13[ Reading] After Work Data Science Ensemble Learning With Python
[ Reading] After Work Data Science Ensemble Learning With Python
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14Thursday - 203 - 5 - Python For Brain Mining: (Neuro)science With State Of The Art Machine Learning And Data Visualization
Python for Brain Mining: (Neuro)science with State of the Art Machine Learning and Data Visualization Gael Varoquaux If you have questions, email [email protected]
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- Subjects: SciPy 2011 - Scipy - Sci Py - Sci Py 2011 - SciPy2011
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15Deep Learning In Python
By Tobias Brandt
Tobias Brandt https://2016.za.pycon.org/talks/16/ This talk will give an introduction to Neural Networks and Deep Learning in Python. We will cover some of the history of Neural Networks and obstacles that were encountered in the 1990s. This will then lead onto the developments in 2006 and 2012 that lead to the resurgence of interest in Neural Networks and the rebranding of the field as Deep Learning. These developments will be illustrated by means of an extended example of building a classifier of hand written digits on the MNIST dataset. We will start with a simple Multi-Layer Perceptron and then build this up into a Stacked Denoising Autoencoder. All code will be developed using the Keras framework and TensorFlow and can be run on a simple laptop.
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16Python Machine Learning Case Studies : Five Case Studies For The Data Scientist
pages cm
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- Language: English
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17Andrew Park Data Science For Beginners 4 Books In 1 Python Programming, Data Analysis, Machine Learning. A Complete Overview To Master The Art Of Data Science From Scratch Using Python For Busines
By random3
random3, 'Andrew Park - Data Science for Beginners_ 4 Books in 1_ Python Programming, Data Analysis, Machine Learning. A Complete Overview to Master The Art of Data Science From Scratch Using Python for Busines'
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18Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (18 - Support Vector Machine (SVM))
Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (18 - Support Vector Machine (SVM))
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19Scikit-learn: Machine Learning In Python
By Fabian Pedregosa, Gal Varoquaux, Alex, re Gramfort, Vincent Michel, Bertr, Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake V, erplas, re Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot and douard Duchesnay
Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (18 - Support Vector Machine (SVM))
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20Python Environment For Bayesian Learning: Inferring The Structure Of Bayesian Networks From Knowledge And Data(Machine Learning Open Source Software Paper)
By Abhik Shah and Peter Woolf
Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (18 - Support Vector Machine (SVM))
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- Authors: Abhik ShahPeter Woolf
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21Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (32 - Upper Confidence Bound (UCB))
Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (32 - Upper Confidence Bound (UCB))
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22Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (34 - Part 7 Natural Language Processing)
Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (34 - Part 7 Natural Language Processing)
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23Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (38 - Part 9 Dimensionality Reduction)
Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (38 - Part 9 Dimensionality Reduction)
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24Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (12 - Evaluating Regression Models Performance)
Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (12 - Evaluating Regression Models Performance)
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25Graph-based Active Learning Of Agglomeration (GALA): A Python Library To Segment 2D And 3D Neuroimages.
By Nunez-Iglesias, Juan, Kennedy, Ryan, Plaza, Stephen M., Chakraborty, Anirban and Katz, William T.
This article is from Frontiers in Neuroinformatics , volume 8 . Abstract The aim in high-resolution connectomics is to reconstruct complete neuronal connectivity in a tissue. Currently, the only technology capable of resolving the smallest neuronal processes is electron microscopy (EM). Thus, a common approach to network reconstruction is to perform (error-prone) automatic segmentation of EM images, followed by manual proofreading by experts to fix errors. We have developed an algorithm and software library to not only improve the accuracy of the initial automatic segmentation, but also point out the image coordinates where it is likely to have made errors. Our software, called gala (graph-based active learning of agglomeration), improves the state of the art in agglomerative image segmentation. It is implemented in Python and makes extensive use of the scientific Python stack (numpy, scipy, networkx, scikit-learn, scikit-image, and others). We present here the software architecture of the gala library, and discuss several designs that we consider would be generally useful for other segmentation packages. We also discuss the current limitations of the gala library and how we intend to address them.
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- Language: English
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26Python Machine Learning
.........
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27An Introduction To Statistical Learning With Applications In Python
As the scale and scope of data collection continue to increase across virtually all fields, statistical learning has become a critical toolkit for anyone who wishes to understand data. An Introduction to Statistical Learning provides a broad and less technical treatment of key topics in statistical learning. This book is appropriate for anyone who wishes to use contemporary tools for data analysis.
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28Learning Python Manual (4th Edition)(Chinese Edition)
By MEI LU TE ZI Mark Lutz
As the scale and scope of data collection continue to increase across virtually all fields, statistical learning has become a critical toolkit for anyone who wishes to understand data. An Introduction to Statistical Learning provides a broad and less technical treatment of key topics in statistical learning. This book is appropriate for anyone who wishes to use contemporary tools for data analysis.
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29Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (40 - Linear Discriminant Analysis (LDA))
Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (40 - Linear Discriminant Analysis (LDA))
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30Python For Computer Vision With Open CV And Deep Learning
Python For Computer Vision With Open CV And Deep Learning
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31Importance Of Learning Python For Kids
Programming has become a fundamental skill in the 21st century. Its uses are not only limited to computer science but a wide array of fields. We believe that the 7th-grade kids are mentally capable to learn python online , begin their programming journey, develop interest, be comfortable in handling large chunks of data and also solve complex problems.
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32Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (11 - Random Forest Regression)
Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (11 - Random Forest Regression)
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33Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (14 - Regression Model Selection In R)
Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (14 - Regression Model Selection in R)
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34Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (16 - Logistic Regression)
Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (16 - Logistic Regression)
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35Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (27 - Hierarchical Clustering)
Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (27 - Hierarchical Clustering)
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36Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (42 - Part 10 Model Selection & Boosting)
Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (42 - Part 10 Model Selection & Boosting)
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37มองโลก มองไทย - 'Python' ภาษาเบื้องต้นสำหรับ Machine Learning
By VOICE TV
#มองโลกมองไทย ประจำวันที่ 25 ตุลาคม 2563 คุยกับคอมพิวเตอร์ด้วยภาษามนุษย์? ปราบ เลาหะโรจนพันธ์ อาจารย์พิเศษ วิชา Machine Learning ม.ธรรมศาสตร์ แขกรับเชิญพิเศษจะมาเล่าให้ฟังว่า 'ทักษะภาษาคอมพ์ฯ' ช่วยให้เราพลิกวิธีคิด พลิกอนาคตอย่างไร และทำไม โลกถึงนิยม และมองหาคนที่มีทักษะนี้เสียเหลือเกิน? Machine Learning สำหรับมนุษย์เงินเดือน โดย ThinkLab Creative Space & Cafe https://www.facebook.com/thinklab.creativespace/posts/194751758721175 พิเศษ! เพียงระบุว่ารับชมมาจากรายการ "มองโลก มองไทย" รับส่วนลด 10% Facebook Page: ThinkLab Creative Space and Cafe โทรศัพท์/ LINE ID: 0610247199 สมัครสมาชิกเพื่อรับสิทธิพิเศษ (Membership) https://www.youtube.com/channel/UCpHTAE2EOwWkWGnW2HY8gRw/join ติดตาม #VoiceTV YouTube : https://www.youtube.com/channel/UCpHTAE2EOwWkWGnW2HY8gRw Facebook : https://www.facebook.com/pg/VoiceTVRankingThailand Instagram : https://www.instagram.com/voicetv/ Twitter : https://twitter.com/VoiceTVOfficial Website : https://www.voicetv.co.th/ Source: https://www.youtube.com/watch?v=fUrtterb4Z0 Uploader: VOICE TV
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- Subjects: ➤ Youtube - video - News & Politics - Voicetv - Voice TV - วอยซ์ทีวี - วอยซ์ทีวีล่าสุด - วอยซ์ - ข่าว - ข่าวสด - ข่าว VoiceTV - วอยซ์ทีวีสด - วอยซ์ทีวี ข่าววันนี้ล่าสุด - ข่าวล่าสุด - ประชาธิปไตย - Machine Learning - Python
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38Solar Wind In Situ Data Suitable For Machine Learning (python Numpy Structured Arrays): STEREO-A/B, Wind, Parker Solar Probe, Ulysses, Venus Express, MESSENGER
By Christian Moestl, Andreas Weiss, Rachel Bailey and Alexey Isavnin
These are solar wind in situ data arrays in python pickle format suitable for machine learning, i.e. the arrays consist only of numbers, no strings and no datetime objects. See AAREADME_insitu_ML.txt for more explanation. If you use these data for peer reviewed scientific publications, please get in touch concerning usage and possible co-authorship by the authors (C. Möstl, A. J. Weiss, R. L. Bailey, A. Isavnin): [email protected] or twitter @chrisoutofspace Made with https://github.com/cmoestl/heliocats Load in python with e.g. for Parker Solar Probe data: > import pickle > filepsp='psp_2018_2019_sceq_ndarray.p' > [psp,hpsp]=pickle.load(open(filepsp, "rb" ) ) plot time vs total field > import matplotlib.pyplot as plt > plt.plot(psp['time'],psp['bt']) Times psp[:,0 ] or psp['time'] are in matplotlib format. Variable 'hpsp' contains a header with the variable names and units for each column. Coordinate systems for magnetic field components are RTN (Ulysses), SCEQ (Parker Solar Probe, STEREO-A/B, VEX, MESSENGER), HEEQ (Wind) available parameters: bt = total magnetic field bxyz = magnetic field components vt = total proton speed vxyz = velocity components (only for PSP) np = proton density tp = proton temperature xyz = spacecraft position in HEEQ r, lat, lon = spherical coordinates of position in HEEQ
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- Authors: Christian MoestlAndreas WeissRachel BaileyAlexey Isavnin
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39TensorLy: Tensor Learning In Python
By Jean Kossaifi, Yannis Panagakis and Maja Pantic
Tensor methods are gaining increasing traction in machine learning. However, there are scant to no resources available to perform tensor learning and decomposition in Python. To answer this need we developed TensorLy. TensorLy is a state of the art general purpose library for tensor learning. Written in Python, it aims at following the same standards adopted by the main projects of the Python scientific community and fully integrating with these. It allows for fast and straightforward tensor decomposition and learning and comes with exhaustive tests, thorough documentation and minimal dependencies. It can be easily extended and its BSD licence makes it suitable for both academic and commercial applications. TensorLy is available at https://github.com/tensorly/tensorly
“TensorLy: Tensor Learning In Python” Metadata:
- Title: ➤ TensorLy: Tensor Learning In Python
- Authors: Jean KossaifiYannis PanagakisMaja Pantic
“TensorLy: Tensor Learning In Python” Subjects and Themes:
- Subjects: Computing Research Repository - Learning
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- Internet Archive ID: arxiv-1610.09555
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40Mastering Git Switch, Python Learning Sites, And Debugging Ruby On Rails
"Mastering Git Switch, Python Learning Sites, and Debugging Ruby on Rails" is a comprehensive guide for developers aiming to enhance their skills in essential areas of modern software development. This blog covers three critical topics: mastering the git switch command in Git for efficient branch management, exploring the best Python learning sites for programmers, and delving into advanced debugging techniques for Ruby on Rails applications. Whether you're navigating version control, expanding your programming knowledge, or tackling complex Rails bugs, this guide offers valuable insights and practical tips to boost your productivity and expertise. Read more - https://stackify.com/
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41Github.com-rasbt-python-machine-learning-book-2nd-edition_-_2019-11-15_20-49-49
By rasbt
The "Python Machine Learning (2nd edition)" book code repository and info resource Python Machine Learning (2nd Ed.) Code Repository Python Machine Learning, 2nd Ed. published September 20th, 2017 Paperback: 622 pages Publisher: Packt Publishing Language: English ISBN-10: 1787125939 ISBN-13: 978-1787125933 Kindle ASIN: B0742K7HYF Links Amazon Page Packt Page Table of Contents and Code Notebooks Helpful installation and setup instructions can be found in the README.md file of Chapter 1 To access the code materials for a given chapter, simply click on the open dir links next to the chapter headlines to navigate to the chapter subdirectories located in the code/ subdirectory. You can also click on the ipynb links below to open and view the Jupyter notebook of each chapter directly on GitHub. In addition, the code/ subdirectories also contain .py script files, which were created from the Jupyter Notebooks. However, I highly recommend working with the Jupyter notebook if possible in your computing environment. Not only do the Jupyter notebooks contain the images and section headings for easier navigation, but they also allow for a stepwise execution of individual code snippets, which -- in my opinion -- provide a better learning experience. Please note that these are just the code examples accompanying the book, which I uploaded for your convenience; be aware that these notebooks may not be useful without the formulae and descriptive text. Machine Learning - Giving Computers the Ability to Learn from Data [[open dir](./code/ch01)] [[ipynb](./code/ch01/ch01.ipynb)] Training Machine Learning Algorithms for Classification [[open dir](./code/ch02)] [[ipynb](./code/ch02/ch02.ipynb)] A Tour of Machine Learning Classifiers Using Scikit-Learn [[open dir](./code/ch03)] [[ipynb](./code/ch03/ch03.ipynb)] Building Good Training Sets – Data Pre-Processing [[open dir](./code/ch04)] [[ipynb](./code/ch04/ch04.ipynb)] Compressing Data via Dimensionality Reduction [[open dir](./code/ch05)] [[ipynb](./code/ch05/ch05.ipynb)] Learning Best Practices for Model Evaluation and Hyperparameter Optimization [[open dir](./code/ch06)] [[ipynb](./code/ch06/ch06.ipynb)] Combining Different Models for Ensemble Learning [[open dir](./code/ch07)] [[ipynb](./code/ch07/ch07.ipynb)] Applying Machine Learning to Sentiment Analysis [[open dir](./code/ch08)] [[ipynb](./code/ch08/ch08.ipynb)] Embedding a Machine Learning Model into a Web Application [[open dir](./code/ch09)] [[ipynb](./code/ch09/ch09.ipynb)] Predicting Continuous Target Variables with Regression Analysis [[open dir](./code/ch10)] [[ipynb](./code/ch10/ch10.ipynb)] Working with Unlabeled Data – Clustering Analysis [[open dir](./code/ch11)] [[ipynb](./code/ch11/ch11.ipynb)] Implementing a Multi-layer Artificial Neural Network from Scratch [[open dir](./code/ch12)] [[ipynb](./code/ch12/ch12.ipynb)] Parallelizing Neural Network Training with TensorFlow [[open dir](./code/ch13)] [[ipynb](./code/ch13/ch13.ipynb)] Going Deeper: The Mechanics of TensorFlow [[open dir](./code/ch14)] [[ipynb](./code/ch14/ch14.ipynb)] Classifying Images with Deep Convolutional Neural Networks [[open dir](./code/ch15)] [[ipynb](./code/ch15/ch15.ipynb)] Modeling Sequential Data Using Recurrent Neural Networks [[open dir](./code/ch16)] [[ipynb](./code/ch16/ch16.ipynb)] What’s new in the second edition from the first edition? Oh, there are so many things that we improved or added; where should I start!? The one issue on top of my priority list was to fix all the nasty typos that were introduced during the layout stage or my oversight. I really appreciated all the helpful feedback from readers in this manner! Furthermore, I addressed all the feedback about sections that may have been confusing or a bit unclear, reworded paragraphs, and added additional explanations. Also, special thanks go to the excellent editors of the second edition, who helped a lot along the way! Also, the figures and plots became much prettier. While readers liked the graphic content a lot, some people criticized the PowerPoint-esque style and layout. Thus, I decided to overhaul every little figure with a hopefully more pleasing choice of fonts and colors. Also, the data plots look much nicer now, thanks to the matplotlib team who put a lot of work in matplotlib 2.0 and its new styling theme. Beyond all these cosmetic fixes, new sections were added here and there. Among these is, for example, is a section on dealing with imbalanced datasets, which several readers were missing in the first edition and short section on Latent Dirichlet Allocation among others. As time and the software world moved on after the first edition was released in September 2015, we decided to replace the introduction to deep learning via Theano. No worries, we didn't remove it but it got a substantial overhaul and is now based on TensorFlow, which has become a major player in my research toolbox since its open source release by Google in November 2015. Along with the new introduction to deep learning using TensorFlow, the biggest additions to this new edition are three brand new chapters focussing on deep learning applications: A more detailed overview of the TensorFlow mechanics, an introduction to convolutional neural networks for image classification, and an introduction to recurrent neural networks for natural language processing. Of course, and in a similar vein as the rest of the book, these new chapters do not only provide readers with practical instructions and examples but also introduce the fundamental mathematics behind those concepts, which are an essential building block for understanding how deep learning works. [ [Excerpt from "Machine Learning can be useful in almost every problem domain:" An interview with Sebastian Raschka](https://www.packtpub.com/books/content/machine-learning-useful-every-problem-domain-interview-sebastian-raschka/) ] Raschka, Sebastian, and Vahid Mirjalili. Python Machine Learning, 2nd Ed . Packt Publishing, 2017. @book{RaschkaMirjalili2017, address = {Birmingham, UK}, author = {Raschka, Sebastian and Mirjalili, Vahid}, edition = {2}, isbn = {978-1787125933}, keywords = {Clustering,Data Science,Deep Learning, Machine Learning,Neural Networks,Programming, Supervised Learning}, publisher = {Packt Publishing}, title = {{Python Machine Learning, 2nd Ed.}}, year = {2017} } Translations German ISBN-10: 3958457339 ISBN-13: 978-3958457331 Amazon.de link Publisher link Japanese ISBN-10: 4295003379 ISBN-13: 978-4295003373 Amazon.co.jp link To restore the repository download the bundle wget https://archive.org/download/github.com-rasbt-python-machine-learning-book-2nd-edition_-_2019-11-15_20-49-49/rasbt-python-machine-learning-book-2nd-edition_-_2019-11-15_20-49-49.bundle and run: git clone rasbt-python-machine-learning-book-2nd-edition_-_2019-11-15_20-49-49.bundle Source: https://github.com/rasbt/python-machine-learning-book-2nd-edition Uploader: rasbt Upload date: 2019-11-15
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42Mastering Git Switch, Python Learning Sites, And Debugging Ruby On Rails
Mastering Git Switch, Python Learning Sites, and Debugging Ruby on Rails" is a comprehensive guide for developers aiming to enhance their skills in essential areas of modern software development. This blog covers three critical topics: mastering the git switch command in Git for efficient branch management, exploring the best Python learning sites for programmers, and delving into advanced debugging techniques for Ruby on Rails applications. Know more - https://stackify.com/
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- Language: English
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- Internet Archive ID: ➤ mastering-git-switch-python-learning-sites-and-debugging-ruby-on-rails
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43Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (13 - Regression Model Selection In Python)
Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (13 - Regression Model Selection in Python)
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44Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (24 - Evaluating Classification Models Performance)
Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (24 - Evaluating Classification Models Performance)
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45Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (37 - Convolutional Neural Networks)
Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (37 - Convolutional Neural Networks)
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46Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (07 - Multiple Linear Regression)
Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (07 - Multiple Linear Regression)
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47Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (20 - Naive Bayes)
Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (20 - Naive Bayes)
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48Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (28 - Part 5 Association Rule Learning)
Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (28 - Part 5 Association Rule Learning)
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49Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (35 - Part 8 Deep Learning)
Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (35 - Part 8 Deep Learning)
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50Introduction To Machine Learning With Python ( PDFDrive.com )
By Karan
My library
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- Author: Karan
- Language: English
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Source: The Open Library
The Open Library Search Results
Available books for downloads and borrow from The Open Library
1Learning Python
By Mark Lutz and David Ascher

“Learning Python” Metadata:
- Title: Learning Python
- Authors: Mark LutzDavid Ascher
- Languages: English - ger
- Number of Pages: Median: 591
- Publisher: ➤ O'Reilly Media - O'Reilly Media, Incorporated - O'Reilly - Shroff Publishers & Distributors Pvt. Ltd. - CreateSpace Independent Publishing Platform - O'Reilly Media, Inc.
- Publish Date: ➤ 1999 - 2000 - 2003 - 2004 - 2007 - 2008 - 2009 - 2013 - 2017 - 2025
- Publish Location: ➤ Sebstopol - Sebastopol, CA - Cambridge - Taipei - Tokyo - Farnham - Paris - Köln - Beijing - CA 95472
“Learning Python” Subjects and Themes:
- Subjects: ➤ Python (Langage de programmation) - Python (linguagem de programação) - Python (Computer program language) - Python (Lenguaje de programación de computadores) - Langage à objets - Python (programmeertaal) - Object-oriented programming (Computer science) - Python (Computer language) - Interpréteur - Python - COMPUTERS - Programming Languages - Engineering & Applied Sciences - Computer Science - General - Reference - Games - Com051360 - Cs.cmp_sc.app_sw - Cs.cmp_sc.prog_lang - Professional, career & trade -> computer science -> programming languages (jr/sr) - Professional, career & trade -> computer science -> general - Professional, career & trade -> computer science -> python
Edition Identifiers:
- The Open Library ID: ➤ OL57549797M - OL54755965M - OL37873566M - OL27149108M - OL23998730M - OL3320928M - OL21319952M - OL21486798M - OL6804857M - OL24051551M - OL7580972M - OL36706332M - OL36707517M - OL36711728M - OL36718928M - OL36742596M - OL36776863M - OL36776870M - OL36777338M - OL36777428M - OL36799010M - OL9497269M
- Online Computer Library Center (OCLC) ID: ➤ 182576260 - 390663631 - 55847258 - 44960325 - 829056028 - 41466161 - 51964644 - 858725415 - 857063121 - 76087559
- Library of Congress Control Number (LCCN): 2014497591 - 00267609 - 2009419071 - 2004273129 - 2010485706
- All ISBNs: ➤ 1098171306 - 9780596002817 - 9781449391751 - 1449355730 - 1565924649 - 0596002815 - 0596516800 - 144937932X - 1600330215 - 9780596158064 - 9783897211292 - 0596158068 - 0596516606 - 8173667381 - 9781565928213 - 9781600330216 - 9781098171308 - 1449391753 - 1548987832 - 9780596150280 - 9780596554491 - 9780596513986 - 9788173667381 - 9781449379322 - 9780596516802 - 1565928210 - 9781565924642 - 9780596516604 - 1565928938 - 1322126666 - 9781322126661 - 9781565928930 - 0596513984 - 9781548987831 - 3897211297 - 0596554494 - 9781449355739 - 0596150288
First Setence:
"Dieses Buch bietet Ihnen eine kurze Einführung in die Programmiersprache Python."
Access and General Info:
- First Year Published: 1999
- Is Full Text Available: Yes
- Is The Book Public: No
- Access Status: Borrowable
Online Access
Downloads Are Not Available:
The book is not public therefore the download links will not allow the download of the entire book, however, borrowing the book online is available.
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2Learning Python Manual (4th edition)(Chinese Edition)
By MEI LU TE ZI Mark Lutz
“Learning Python Manual (4th edition)(Chinese Edition)” Metadata:
- Title: ➤ Learning Python Manual (4th edition)(Chinese Edition)
- Author: MEI LU TE ZI Mark Lutz
- Publisher: Machinery Industry Press
- Publish Date: 2011
Edition Identifiers:
- The Open Library ID: OL48591986M
- All ISBNs: 7111326539 - 9787111326533
Access and General Info:
- First Year Published: 2011
- Is Full Text Available: Yes
- Is The Book Public: No
- Access Status: Borrowable
Online Access
Downloads Are Not Available:
The book is not public therefore the download links will not allow the download of the entire book, however, borrowing the book online is available.
Online Borrowing:
- Borrowing from Open Library: Borrowing link
- Borrowing from Archive.org: Borrowing link
Online Marketplaces
Find Learning Python Manual (4th edition)(Chinese Edition) at online marketplaces:
- Amazon: Audiable, Kindle and printed editions.
- Ebay: New & used books.
Source: LibriVox
LibriVox Search Results
Available audio books for downloads from LibriVox
1Susan B. Anthony Rebel, Crusader, Humanitarian
By Alma Lutz

Alma Lutz's outstanding biography of Susan B. Anthony is revered for its descriptive power, attention to detail and historical significance to the women's Suffragette movement. - Summary by PhyllisV
“Susan B. Anthony Rebel, Crusader, Humanitarian” Metadata:
- Title: ➤ Susan B. Anthony Rebel, Crusader, Humanitarian
- Author: Alma Lutz
- Language: English
- Publish Date: 1959
Edition Specifications:
- Format: Audio
- Number of Sections: 26
- Total Time: 14:16:52
Edition Identifiers:
- libriVox ID: 14887
Links and information:
Online Access
Download the Audio Book:
- File Name: susanbanthony_2004_librivox
- File Format: zip
- Total Time: 14:16:52
- Download Link: Download link
Online Marketplaces
Find Susan B. Anthony Rebel, Crusader, Humanitarian at online marketplaces:
- Amazon: Audiable, Kindle and printed editions.
- Ebay: New & used books.
Buy “Learning Python” online:
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