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 for Data Science and Machine Learning Bootcamp
Sources: udemy
Are you ready to start your path to becoming a Data Scientist! This comprehensive course will be your guide to learning how to use the power of Python to analy
24 hours 49 minutes 42 seconds
Python Django Dev To Deployment
Sources: udemy, Brad Traversy
This is a very practical course where we take a list of requirements from a fictional company to build a real estate application using Django. We will take a basic html/css Boot...
11 hours 7 minutes 11 seconds
The Complete Python Programming Course for Beginners
Sources: codewithmosh (Mosh Hamedani)
Python is the most popular programming language in the world. It's used by big companies like Google, Facebook, Dropbox, Reddit, Spotify, Quora, etc. Mathematicians, scientists,...
11 hours 56 minutes 40 seconds
Spark and Python for Big Data with PySpark
Sources: udemy
Learn the latest Big Data Technology - Spark! And learn to use it with one of the most popular programming languages, Python! One of the most valuable technolog
10 hours 35 minutes 43 seconds
Automated Software Testing with Python
Sources: udemy
Testing automation doesn't have to be painful. Software testing is an essential skill for any developer, and I'm here to help you truly understand all types of
13 hours 26 minutes 55 seconds