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mastering-pycharm-course | Course demos and handouts for Talk Python | Machine Learning library

 by   talkpython Python Version: Current License: GPL-2.0

 by   talkpython Python Version: Current License: GPL-2.0

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kandi X-RAY | mastering-pycharm-course Summary

mastering-pycharm-course is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. mastering-pycharm-course has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has medium support. You can download it from GitHub.
PyCharm is the premier Python IDE (integrated development environment). You will be hard-pressed to find an editor that gives a more holistic way to build Python applications. While powerful, IDEs can be daunting to learn with all their features. That's why this course shows you how they all work.
Support
Support
Quality
Quality
Security
Security
License
License
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kandi-support Support

  • mastering-pycharm-course has a medium active ecosystem.
  • It has 870 star(s) with 544 fork(s). There are 68 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 0 open issues and 27 have been closed. On average issues are closed in 113 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of mastering-pycharm-course is current.
This Library - Support
Best in #Machine Learning
Average in #Machine Learning
This Library - Support
Best in #Machine Learning
Average in #Machine Learning

quality kandi Quality

  • mastering-pycharm-course has 0 bugs and 0 code smells.
This Library - Quality
Best in #Machine Learning
Average in #Machine Learning
This Library - Quality
Best in #Machine Learning
Average in #Machine Learning

securitySecurity

  • mastering-pycharm-course has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • mastering-pycharm-course code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
This Library - Security
Best in #Machine Learning
Average in #Machine Learning
This Library - Security
Best in #Machine Learning
Average in #Machine Learning

license License

  • mastering-pycharm-course is licensed under the GPL-2.0 License. This license is Strong Copyleft.
  • Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
This Library - License
Best in #Machine Learning
Average in #Machine Learning
This Library - License
Best in #Machine Learning
Average in #Machine Learning

buildReuse

  • mastering-pycharm-course releases are not available. You will need to build from source code and install.
  • Build file is available. You can build the component from source.
  • mastering-pycharm-course saves you 607 person hours of effort in developing the same functionality from scratch.
  • It has 2969 lines of code, 214 functions and 127 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
This Library - Reuse
Best in #Machine Learning
Average in #Machine Learning
This Library - Reuse
Best in #Machine Learning
Average in #Machine Learning
Top functions reviewed by kandi - BETA

kandi has reviewed mastering-pycharm-course and discovered the below as its top functions. This is intended to give you an instant insight into mastering-pycharm-course implemented functionality, and help decide if they suit your requirements.

  • Create a Package from a dict .
  • Main game loop .
  • Play a game .
  • Decorates a Flask view method .
  • Import languages .
  • check if there is a winner
  • Create a new package
  • Calculate the score of a list of words .
  • Import licenses .
  • Create a new request dictionary .

mastering-pycharm-course Key Features

Course demos and handouts for Talk Python's Effective PyCharm course

mastering-pycharm-course Examples and Code Snippets

Community Discussions

Vulnerabilities

No vulnerabilities reported

Install mastering-pycharm-course

You can download it from GitHub.
You can use mastering-pycharm-course like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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