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Configuring Python Extension Pack with Visual Studio Code

In this 1.5 hours guided project, you will learn how to install, configure and use the Python extension pack and related extensions in Visual Studio Code. At the end of the class, you will be familiar with the major components of the extension pack. You will also be able to build, debug, customize your development experience, and distribute your configurations to other workstations. Topics include semantic highlighting, auto-complete, Intellisense, debugging, DocString Generator, Python Indent, Jinja, DJango, Environmental Manager, and Python Preview. Basic Python programming experience is highly recommended.

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What's inside

Syllabus

Project Overview

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Introduces students to tools and software that are widely applicable and standard in industry

Course also teaches debugging tools, which helps learners troubleshoot errors in their Python code

Taught by Harrison Kong, who is recognized for writing books on Visual Studio Code

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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 Configuring Python Extension Pack with Visual Studio Code with these activities:

Review Python Fundamentals

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Refresh your understanding of basic Python concepts, such as data types, variables, and control flow, to enhance your comprehension of the course material.

Browse courses on Python Programming

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Review online tutorials or documentation on Python basics.
Solve practice problems or coding exercises to reinforce your understanding.

Explore Python Extension Pack Tutorials

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Familiarize yourself with the features and functionalities of the Python Extension Pack by following guided tutorials, which will enhance your productivity and streamline your development workflow.

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Access the official Visual Studio Code documentation for the Python Extension Pack.
Follow step-by-step tutorials to learn about specific extensions and their usage.
Experiment with the extensions in your own Python projects.

Practice with Semantic Highlighting and Auto-Complete

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Improve your coding efficiency by practicing with semantic highlighting and auto-complete features, which will enhance your code readability and accuracy.

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Create a new Python project in Visual Studio Code.
Enable semantic highlighting and auto-complete in the settings.
Write and edit Python code, observing how these features assist you.

Four other activities

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Host a Study Group on Python Extension Pack

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Collaborate with fellow learners by hosting a study group, where you can discuss the Python Extension Pack, share knowledge, and support each other's progress.

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Gather a group of interested individuals.
Establish regular meeting times and a communication platform.
Prepare discussion topics related to the Python Extension Pack.
Facilitate discussions, encourage active participation, and foster a supportive learning environment.

Develop a Custom Python Configuration

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Tailor your development experience by creating a custom Python configuration, which will optimize your workflow and enhance your productivity.

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Identify your specific development needs and preferences.
Configure settings in Visual Studio Code, including extensions, themes, and keyboard shortcuts.
Test and refine your configuration to ensure optimal performance.
Share your custom configuration with others to contribute to the community.

Participate in a Python Coding Challenge

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Challenge yourself and expand your skills by participating in a Python coding challenge, which will test your problem-solving abilities and deepen your understanding of Python.

Browse courses on Competitive Programming

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Find an appropriate Python coding challenge or competition.
Analyze the problem statement and develop a solution strategy.
Implement your solution in Python, ensuring efficiency and accuracy.
Submit your solution and evaluate your performance.

Contribute to the Python Extension Pack

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Make a meaningful contribution to the Python community by volunteering to contribute to the Python Extension Pack, which will not only enhance your skills but also benefit others.

Browse courses on Community Involvement

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Identify areas where you can contribute, such as documentation, bug fixes, or feature enhancements.
Submit a pull request to the official Python Extension Pack repository.
Collaborate with the development team to refine and merge your contribution.
Receive recognition and contribute to the growth of the Python community.

Career center

Learners who complete Configuring Python Extension Pack with Visual Studio Code will develop knowledge and skills that may be useful to these careers:

Project Manager

Project Managers are responsible for the planning and execution of software and hardware projects. This course can be helpful for Project Managers who use Python in their work, as it covers topics such as semantic highlighting, auto-complete, Intellisense, debugging, and Python Preview. These tools can help Project Managers write code more efficiently and effectively, which can lead to better results in their work.

See salaries and explore the career path for Project Manager

Data Scientist

Data Scientists use data to build models that can predict future outcomes. This course can be helpful for Data Scientists who use Python in their work, as it covers topics such as semantic highlighting, auto-complete, Intellisense, debugging, and Python Preview. These tools can help Data Scientists write code more efficiently and effectively, which can lead to better results in their work.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers build and maintain machine learning models. This course can be helpful for Machine Learning Engineers who use Python in their work, as it covers topics such as semantic highlighting, auto-complete, Intellisense, debugging, and Python Preview. These tools can help Machine Learning Engineers write code more efficiently and effectively, which can lead to better results in their work.

See salaries and explore the career path for Machine Learning Engineer

Business Analyst

Business Analysts work with businesses to identify and solve problems. This course can be helpful for Business Analysts who use Python in their work, as it covers topics such as semantic highlighting, auto-complete, Intellisense, debugging, and Python Preview. These tools can help Business Analysts write code more efficiently and effectively, which can lead to better results in their work.

See salaries and explore the career path for Business Analyst

Data Analyst

Data Analysts use data to solve business problems. This course can be helpful for Data Analysts who use Python in their work, as it covers topics such as semantic highlighting, auto-complete, Intellisense, debugging, and Python Preview. These tools can help Data Analysts write code more efficiently and effectively, which can lead to better results in their work.

See salaries and explore the career path for Data Analyst

Web Developer

Web Developers design and develop websites. This course can be helpful for Web Developers who use Python in their work, as it covers topics such as semantic highlighting, auto-complete, Intellisense, debugging, and Python Preview. These tools can help Web Developers write code more efficiently and effectively, which can lead to better results in their work.

See salaries and explore the career path for Web Developer

Product Manager

Product Managers are responsible for the planning and development of software and hardware products. This course can be helpful for Product Managers who use Python in their work, as it covers topics such as semantic highlighting, auto-complete, Intellisense, debugging, and Python Preview. These tools can help Product Managers write code more efficiently and effectively, which can lead to better results in their work.

See salaries and explore the career path for Product Manager

Data Engineer

Data Engineers are responsible for the design and implementation of data pipelines. This course can be helpful for Data Engineers who use Python in their work, as it covers topics such as semantic highlighting, auto-complete, Intellisense, debugging, and Python Preview. These tools can help Data Engineers write code more efficiently and effectively, which can lead to better results in their work.

See salaries and explore the career path for Data Engineer

DevOps Engineer

DevOps Engineers work to bridge the gap between development and operations teams. This course can be helpful for DevOps Engineers who use Python in their work, as it covers topics such as semantic highlighting, auto-complete, Intellisense, debugging, and Python Preview. These tools can help DevOps Engineers write code more efficiently and effectively, which can lead to better results in their work.

See salaries and explore the career path for DevOps Engineer

Cloud Engineer

Cloud Engineers design and manage cloud computing systems. This course can be helpful for Cloud Engineers who use Python in their work, as it covers topics such as semantic highlighting, auto-complete, Intellisense, debugging, and Python Preview. These tools can help Cloud Engineers write code more efficiently and effectively, which can lead to better results in their work.

See salaries and explore the career path for Cloud Engineer

Technical Writer

Technical Writers create documentation for software and hardware products. This course can be helpful for Technical Writers who use Python in their work, as it covers topics such as semantic highlighting, auto-complete, Intellisense, debugging, and Python Preview. These tools can help Technical Writers write code more efficiently and effectively, which can lead to better results in their work.

See salaries and explore the career path for Technical Writer

Software Developer

Software Developers specialize in the design, implementation, and maintenance of software systems. This course can be helpful for Software Developers who use Python in their work, as it covers topics such as semantic highlighting, auto-complete, Intellisense, debugging, and Python Preview. These tools can help Software Developers write code more efficiently and effectively.

See salaries and explore the career path for Software Developer

Systems Analyst

Systems Analysts work with businesses to identify and solve problems. This course can be helpful for Systems Analysts who use Python in their work, as it covers topics such as semantic highlighting, auto-complete, Intellisense, debugging, and Python Preview. These tools can help Systems Analysts write code more efficiently and effectively, which can lead to better results in their work.

See salaries and explore the career path for Systems Analyst

Technical Support Specialist

Technical Support Specialists provide support to users of software and hardware products. This course can be helpful for Technical Support Specialists who use Python in their work, as it covers topics such as semantic highlighting, auto-complete, Intellisense, debugging, and Python Preview. These tools can help Technical Support Specialists write code more efficiently and effectively, which can lead to better results in their work.

See salaries and explore the career path for Technical Support Specialist

SRE

SREs are responsible for the reliability and uptime of software systems. This course can be helpful for SREs who use Python in their work, as it covers topics such as semantic highlighting, auto-complete, Intellisense, debugging, and Python Preview. These tools can help SREs write code more efficiently and effectively, which can lead to better results in their work.

See salaries and explore the career path for SRE

Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Configuring Python Extension Pack with Visual Studio Code.

Python Crash Course, 3rd Edition

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Offers a clear and concise introduction to Python programming with a focus on practical applications, providing a solid foundation for the course's hands-on projects.

Configuring Python Extension Pack with Visual Studio Code

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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