Information Technology Basics
Fundamental principles and concepts
Managing Python Packages and Virtual Environments
Learn how to manage the requirements of your Python projects using virtual environments and pip, the Python package installer. You will also take a look at several related tools: virtualenvwrapper, pipenv, and poetry.
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Course Insight
Suitable for beginner learners. This course serves as an entry point into Information Technology, building foundational knowledge before moving on to advanced frameworks or specialized paths.
Beginner FriendlySelf-Paced LearningProject-Based
SKILLS TO
MASTER
Practical ApplicationTrending
Real-world project implementationBest Practices
Industry standard workflows and guidelinesCareers:Backend Developer, Software Engineer, API Developer.
Quick Facts
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What You’ll Learn
Most real-world Python projects make use of code written by others, and usually this code is included by installing Python packages. In this course, Managing Python Packages and Virtual Environments, you will learn everything you need to install and manage the packages your project requires using pip, the Python package installer. When you start working on more than a single project, you will find that there's a need to install packages for one project separately from another project. You will come to understand that there's a tool for this situation as well: virtualenv, and no professional Python developer can go without it. First, you will explore everything you need to know in order to use virtual environments on a daily basis. After covering these two core tools, you will then discover other tools that you should at least be aware of such as virtualenvwrapper, which makes managing virtual environments a lot less painful. Finally, you will discover two newer tools: pipenv and poetry, and the direction the Python community is headed. By the end of this course, you will learn how to manage the requirements of your Python projects using virtual environments and pip,
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Outcomes
- Course Overview : 1min.
- Managing Python Packages with pip : 31mins.
- Setting up Your Project with Virtual Environments : 25mins.
- Using virtualenvwrapper to Make Your Life Easier : 13mins.
- Choosing the Right Tools : 17mins.
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