Managing Python Packages and Virtual Environments from Pluralsight

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.

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,

What's inside

Syllabus

Course Overview

Managing Python Packages with pip

Setting up Your Project with Virtual Environments

Using virtualenvwrapper to Make Your Life Easier

Choosing the Right Tools

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Provides a strong foundation for professionals already working with Python

Develops Python package management skills, which are essential for working on collaborative Python projects in many modern industries

Introduces several Python package management tools, broadening learners' skillset

Teaches learners about Python virtual environments, which help isolate Python projects and prevent conflicts between package versions

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Managing Python Packages and Virtual Environments with these activities:

Review course notes and materials

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Refresh your understanding of the course material through regular review.

Browse courses on Python

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Go through your course notes and identify key concepts and ideas.
Create summaries or mind maps to reinforce your understanding.
Revisit the course materials regularly to stay up-to-date.

Review Python syntax

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Refresh your memory of Python syntax to prepare for the course.

Browse courses on Python Syntax

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Review online documentation
Run through online tutorials

Create a Python cheat sheet

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Create a quick reference guide for Python syntax and functions.

Browse courses on Python

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Gather information about Python syntax and functions from the course materials and other sources.
Organize the information into a logical and easy-to-use format.
Create a digital or physical cheat sheet.

Eight other activities

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Follow Python tutorials

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Supplement your learning with additional Python tutorials.

Browse courses on Python

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Find tutorials that cover the topics you are learning in the course.
Watch or read the tutorials.
Try out the examples in the tutorials.

Attend a Python meetup

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Connect with other Python developers and learn from their experiences.

Browse courses on Python

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Find a Python meetup in your area.
Attend the meetup and introduce yourself.
Participate in the discussions and ask questions.

Read 'Effective Python'

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Review best practices and coding strategies for Python.

View Effective Python: 90 Specific Ways to Write... on Amazon

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Read chapters 1-4 to understand the basics of Python coding style and best practices.
Read chapters 5-8 to learn about advanced coding techniques and common pitfalls.

Learn about package management

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Explore tutorials and documentation to understand how to manage Python packages.

Browse courses on Package Management

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Follow online tutorials on pip
Read documentation on virtual environments

Complete Python coding exercises

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Practice writing and debugging Python code.

Browse courses on Python

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Find online coding exercises or use a coding practice platform.
Choose exercises that cover the topics you are learning in the course.
Solve the exercises and debug your code.

Install and manage packages

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Reinforce your understanding by installing and managing packages in a practice environment.

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Create a virtual environment
Install packages using pip
Manage package versions

Contribute to an open-source Python project

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Get involved in the Python community and contribute to a real-world project.

Browse courses on Python

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Find an open-source Python project that interests you.
Read the project documentation and understand its goals.
Identify an area where you can contribute.
Create a pull request with your changes.

Build a Python project

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Apply your Python skills to a real-world project.

Browse courses on Python

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Choose a project idea that interests you.
Plan your project and create a design document.
Write the Python code for your project.
Test and debug your code.
Deploy your project and share it with others.

Career center

Learners who complete Managing Python Packages and Virtual Environments will develop knowledge and skills that may be useful to these careers:

Web Developer

The world of Web Development is dominated by Python frameworks such as Django and Flask. pip, the standard Python package installer, and virtual environments, a crucial tool for keeping project package requirements separate, are important to this role. In taking Managing Python Packages and Virtual Environments, you can build a solid foundation in these topics, which are essential for building up your skills as a Web Developer.

See salaries and explore the career path for Web Developer

Python Developer

A Python Developer employs Python or a Python framework to achieve a variety of ends, like data analysis, machine learning, or web development. To improve your skills, Managing Python Packages and Virtual Environments provides essential knowledge in pip, the standard Python package installer, and virtual environments, a crucial tool for keeping project package requirements separate. This course can be helpful for starting your path towards being a Python Developer.

See salaries and explore the career path for Python Developer

Data Scientist

Data Scientists work with Python very frequently and must be comfortable with pip, the standard Python package installer, as well as virtual environments, a crucial tool for keeping project package requirements separate. Managing Python Packages and Virtual Environments may be helpful to you if you want to be a Data Scientist, and can help you get ahead by solidifying your understanding of these topics.

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Data Analyst

Data Analysts use Python in their work very frequently. Being comfortable with pip, the standard Python package installer, and virtual environments will help you be able to reliably install and manage the data packages your projects need. This is crucial knowledge for Data Analysts, and Managing Python Packages and Virtual Environments can give you a solid foundation in these topics.

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Educator

An Educator who teaches Python or plans to will benefit from this course. In Managing Python Packages and Virtual Environments, you will learn about pip, the standard Python package installer, and virtual environments, a crucial tool for keeping project package requirements separate.

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Quantitative Analyst

As a Quantitative Analyst, your usage of Python is likely frequent. Consider taking this course to build your skillset and become more proficient with pip, the standard Python package installer, and virtual environments, a crucial tool for keeping project package requirements separate.

See salaries and explore the career path for Quantitative Analyst

Machine Learning Engineer

Machine Learning Engineers rely on Python because of its comprehensiveness and robust libraries. Managing Python Packages and Virtual Environments can help prepare you for your role by giving you the tools you need to manage Python packages in the way that is standard in the industry. This covers pip, the standard Python package installer, and virtual environments, a crucial tool for keeping project package requirements separate.

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Software Developer

Generalist Software Developers work in many different programming languages on many different software projects. Managing Python Packages and Virtual Environments can be useful to you if you sometimes use Python. It offers a comprehensive guide to pip, the standard Python package installer, and virtual environments, a crucial tool for keeping project package requirements separate.

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Technical Writer

A Technical Writer who covers topics related to Python may want to take this course, which covers pip, the standard Python package installer, and virtual environments, a crucial tool for keeping project package requirements separate.

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Business Analyst

This course may be useful for a Business Analyst who may use Python sometimes and wishes to become more proficient with pip, the standard Python package installer, and virtual environments, a crucial tool for keeping project package requirements separate.

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Information Security Analyst

For an Information Security Analyst, who may work in Python sometimes, this course may be helpful to you in learning about pip, the standard Python package installer, and virtual environments, a crucial tool for keeping project package requirements separate. Managing Python Packages and Virtual Environments will build a good foundation for you in these areas.

See salaries and explore the career path for Information Security Analyst

DevOps Engineer

Knowledge of Python may be expected of DevOps Engineers, and this course may help you in that regard. Managing Python Packages and Virtual Environments provides a solid foundation for managing packages with pip, the standard Python package installer, and virtual environments, a crucial tool for keeping project package requirements separate.

See salaries and explore the career path for DevOps Engineer

Systems Engineer

A Systems Engineer may use Python sometimes. If this work interests you, it may be helpful to take this course and learn more about pip, the standard Python package installer, and virtual environments, a crucial tool for keeping project package requirements separate.

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Cloud Engineer

Python is sometimes used in Cloud Engineering, so this course may be helpful if that interests you. Managing Python Packages and Virtual Environments will teach you about pip, the standard Python package installer, and virtual environments, a crucial tool for keeping project package requirements separate.

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Product Manager

This course may be helpful for a Product Manager who may use Python sometimes and wishes to become more proficient with pip, the standard Python package installer, and virtual environments, a crucial tool for keeping project package requirements separate.

See salaries and explore the career path for Product Manager