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Configuring Python Extension Pack with Visual Studio Code

Harrison Kong

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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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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