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Using VS Code with Python for Data Science / Data Analysis - P.5

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(My recommended courses that I took to learn Python!)
For this video we cover how data analysts and data scientists set up and use Visual Studio Code (VS Code) with Python. For this we cover the basics of controls and other important features you should be using during development. Finally, we wrap things up with covering how to use Jupyter Notebooks inside VS Code.
Certificates & Courses
==================================
Coursera Courses:
DataCamp Courses:
My Tech for Data Science
(Includes Amazon Affiliate Links)
==================================
Social Media / Contact Me
======================
As an Amazon Associate, I earn a small commission from qualifying purchases on the Amazon links above. It costs you nothing but helps me in keeping the content coming.
00:00 Intro
01:21 Starting a new project
06:10 Running Python
06:44 Linting w/ Pylint
09:57 Formatting (IAW pep8)
14:33 Enabling extensions
15:57 Zoom in/out
16:23 Search / find & replace
17:14 Source control
18:49 Debugging
22:22 Launching Jupyter Notebooks
23:21 Running code in Jupyter Notebook
26:40 Conclusion & Recap
#vscode #pythontutorial #datavisualization
For this video we cover how data analysts and data scientists set up and use Visual Studio Code (VS Code) with Python. For this we cover the basics of controls and other important features you should be using during development. Finally, we wrap things up with covering how to use Jupyter Notebooks inside VS Code.
Certificates & Courses
==================================
Coursera Courses:
DataCamp Courses:
My Tech for Data Science
(Includes Amazon Affiliate Links)
==================================
Social Media / Contact Me
======================
As an Amazon Associate, I earn a small commission from qualifying purchases on the Amazon links above. It costs you nothing but helps me in keeping the content coming.
00:00 Intro
01:21 Starting a new project
06:10 Running Python
06:44 Linting w/ Pylint
09:57 Formatting (IAW pep8)
14:33 Enabling extensions
15:57 Zoom in/out
16:23 Search / find & replace
17:14 Source control
18:49 Debugging
22:22 Launching Jupyter Notebooks
23:21 Running code in Jupyter Notebook
26:40 Conclusion & Recap
#vscode #pythontutorial #datavisualization
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