Visual Studio Code for Python Developers
4h 10m 20s
English
Paid
Course description
This course takes you hands-on through creating a real and meaningful Python project using FastAPI to give you a true sense of VS Code's potential and exposure to many of its features. Moverover, it's taught by two experts who have both worked at Microsoft (makers of VS Code).
Not only do you get 2 perspectives and areas of experise, but you also get a lively and fun course co-taught by two fun instructors playing off each other throughout the course.
Read more about the course
In this course, you will:
- Learn how VS Code compares to an IDE, whether it is an IDE, and if it can become one.
- How to choose a Python distribution for your projects.
- Deeply explore the UI of VS Code (e.g. what can you do with the source control feature on the status bar).
- Rearrange windows and panels to suit your style and preferences.
- Use the all-important command palette.
- Install and explore editor themes.
- Customize the terminal inside of VS Code.
- Find and install some of the best extensions.
- Configure VS Code to be optimal for Python development.
- Manage your virtual environments, packages, and integrate env tools like Flit.
- Debug and test your Python code.
- Use source control and git within VS Code.
- And lots more
Watch Online
0:00
/ #1: Welcome to the Course
All Course Lessons (51)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Welcome to the Course Demo | 07:01 | |
| 2 | What You'll Need | 05:05 | |
| 3 | Course Resources | 02:11 | |
| 4 | Setup Overview | 00:32 | |
| 5 | Choosing Your Python Distribution | 09:04 | |
| 6 | Installing VS Code (There Are Choices) | 04:48 | |
| 7 | Setup Summary | 00:30 | |
| 8 | Exploring the VS Code User Interface | 02:14 | |
| 9 | Walking Through The UI | 05:24 | |
| 10 | Command Palette | 06:18 | |
| 11 | Explorer Workspaces | 07:43 | |
| 12 | The Status Bar | 03:07 | |
| 13 | The Terminal | 03:33 | |
| 14 | Settings | 05:52 | |
| 15 | Common Shortcuts | 17:09 | |
| 16 | Extensions | 09:32 | |
| 17 | Themes | 05:53 | |
| 18 | Summary | 02:10 | |
| 19 | Editing Introduction | 01:11 | |
| 20 | The Default Python Experience | 02:57 | |
| 21 | What is the Python Extension? | 03:52 | |
| 22 | Installing and Using the Python Extension | 03:29 | |
| 23 | Linting and Formatting Code | 13:22 | |
| 24 | Refactoring Code with VS Code | 06:18 | |
| 25 | Code Snippets | 05:03 | |
| 26 | Editing Summary | 00:53 | |
| 27 | Support for Virtual Environments | 00:54 | |
| 28 | Handling multiple Python Versions with pyenv | 07:46 | |
| 29 | Virtual Environments | 05:44 | |
| 30 | Using Poetry with VS Code | 05:07 | |
| 31 | Setting Environmental Variables | 04:36 | |
| 32 | Environments Wrapup | 02:02 | |
| 33 | Debugging Overview | 00:58 | |
| 34 | Command-line Debugging Techniques | 09:14 | |
| 35 | Debugging with Visual Studio Code | 05:47 | |
| 36 | Exploring Debug Configurations | 03:13 | |
| 37 | Working with Debug Configurations | 07:48 | |
| 38 | Diving into Breakpoints | 04:50 | |
| 39 | Using the Debug Console | 02:25 | |
| 40 | Summary | 01:44 | |
| 41 | Testing Overview | 01:21 | |
| 42 | Reviewing the Project Layout | 04:50 | |
| 43 | Enabling Test Support | 03:00 | |
| 44 | Debugging Tests | 04:00 | |
| 45 | Testing Summary | 01:05 | |
| 46 | What is Source Control and Why Do You Need It? | 04:59 | |
| 47 | Working with a Git Repository | 13:11 | |
| 48 | Viewing and Syncing Changes | 06:12 | |
| 49 | The GitHub PR (Pull Request) Extension | 05:15 | |
| 50 | Source Control Summary | 03:03 | |
| 51 | Thank you, Summary and Resources | 06:05 |
Unlock unlimited learning
Get instant access to all 50 lessons in this course, plus thousands of other premium courses. One subscription, unlimited knowledge.
Learn more about subscriptionComments
0 commentsWant to join the conversation?
Sign in to commentSimilar courses
Python & LeetCode | The Ultimate Interview BootCamp
Sources: kaeducation.com
I know LeetCode questions are meant to be difficult, but do not worry! I made it a priority to present each problem in the most simplistic and direct way possible. You will bene...
8 hours 35 minutes 33 seconds
Async Techniques and Examples in Python
Sources: Talkpython
Python's async and parallel programming support is highly underrated. In this course, you will learn the entire spectrum of Python's parallel APIs. We will start with covering t...
5 hours 2 minutes 11 seconds
Introduction to Python
Sources: Amit Jain
In Data Engineering, programming plays a key role. Whether you are working with interfaces, databases, or engaged in transformation...
1 hour 18 minutes 14 seconds
Statistics Bootcamp (with Python): Zero to Mastery
Sources: zerotomastery.io
Master statistics with Python through projects and quizzes. Learn with fun from industry experts. Ideal for careers in Data Analytics and Machine Learning.
20 hours 50 minutes 51 seconds
Deep Learning A-Z™: Hands-On Artificial Neural Networks
Sources: udemy
Artificial intelligence is growing exponentially. There is no doubt about that. Self-driving cars are clocking up millions of miles, IBM Watson is diagnosing pa
22 hours 36 minutes 30 seconds