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Using Community Code
2 students

Using Community Code

Concepts of community code
Created byStone River eLearning
Last updated 4/2024
English

What you'll learn

  • Understand the significance of community code in Python programming and its role in enhancing problem-solving efficiency.
  • Learn about PYPI as a common source for Python libraries and explore popular libraries addressing common programming challenges.
  • Master the installation and management of external dependencies using tools like pip, pipenv, and conda.
  • Gain proficiency in installing pip, managing system-level Python packages, and creating virtual environments to isolate project dependencies.
  • Explore advanced topics such as managing virtual environments centrally or locally, installing packages into virtual environments, and using tools like pipenv
  • Apply practical demonstrations to utilize virtual environments for image manipulation, web scraping, and data analysis tasks.
  • Learn to navigate between multiple project environments and leverage conda for environment cloning and data analysis with libraries like pandas.
  • Acquire a comprehensive understanding of utilizing community code, managing dependencies, and streamlining Python development workflows.
  • Develop essential skills and techniques for success in Python programming, whether solving complex problems or exploring new areas of interest.

Explore related topics

Course content

1 section • 23 lectures • 8h 17m total length

  • Overview4:15
  • Community Code: What is that30:54
  • Install pip20:14
  • Install System Packages21:14
  • Virtual Environments: Create25:54
  • Virtual Environment: Manage20:15
  • Virtual Environment: Install Packages21:59
  • Project: Resizing Images31:22
  • Install pipenv18:37
  • Create pipenv Environments12:56
  • Manage pipenv Environments24:36
  • Use pipenv Environments21:13
  • Project: Image Links on a Page28:32
  • Another one? Why conda?21:23
  • Install conda24:01
  • Install conda: Windows12:28
  • Create conda Environments27:32
  • Manage conda Environments26:08
  • Manage conda Environments: Reproduce30:11
  • Manage conda Environments: Clone23:54
  • Project: Analyze Population Data27:54
  • Uninstall conda12:22
  • Uninstall conda: Windows9:26

Requirements

  • Basic understanding of Python programming concepts and syntax.
  • Familiarity with installing and managing Python packages using tools like pip is helpful but not required.
  • Some experience with virtual environments and external dependencies is beneficial but not mandatory.

Description

This course provides an in-depth exploration of utilizing community code in Python programming to enhance problem-solving efficiency. Hosted by Justin and Vonne, the episodes cover essential tools and methodologies for leveraging community-written code to tackle various programming challenges effectively.

The course begins by introducing the concept of community code and its significance in problem-solving. Viewers learn about PYPI, a common source for Python libraries, and explore popular Python libraries addressing common problems.

Episodes then delve into the installation and management of external dependencies using tools like pip, pipenv, and conda. Viewers are guided through installing pip, managing system-level Python packages, and creating virtual environments to isolate project dependencies.

Furthermore, the course explores advanced topics such as managing virtual environments centrally or locally, installing packages into virtual environments, and using tools like pipenv and conda for efficient environment management.

Practical demonstrations include utilizing virtual environments for image manipulation, web scraping, and data analysis tasks. Additionally, viewers learn to navigate between multiple project environments and leverage conda for environment cloning and data analysis with libraries like pandas.

By the end of the course, participants will have acquired a comprehensive understanding of utilizing community code, managing dependencies, and leveraging tools like pip, pipenv, and conda to streamline Python development workflows. Whether aiming to solve complex problems or explore new areas of interest, this course equips viewers with essential skills and techniques for success in Python programming.

Who this course is for:

  • Beginner to intermediate Python programmers who want to enhance their problem-solving skills and efficiency.
  • Programmers interested in learning how to leverage community-written code to tackle various programming challenges effectively.
  • Individuals aiming to streamline their Python development workflows and improve their coding practices.

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