Uploaded October 2020 | Updated September 2026, 6 hours ago
Python Fundamentals Course (DataCamp) ππΌ lukeb.co/PythonBasicsDataCamp
Data Analyst Track w/ Python (DataCamp) ππΌ lukeb.co/PythonAnalystDataCamp
(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.
My playlist for starting Python ππΌ youtube.com/playlist?list=PL_CkpxkuPiT9udgCeqZpS4HKF6uIzra3r
Download Python w/ Anaconda here ππΌ anaconda.com/products/individual
Download VS Code here ππΌ code.visualstudio.com/download
Certificates & Courses
==================================
Coursera Courses:
π Google Data Analytics Certificate (START HERE) ππΌ lukeb.co/GoogleCert
πΏ SQL for Data Science ππΌ lukeb.co/SQLdataScience
π§Ύ Excel Skills for Business ππΌ lukeb.co/ExcelBusinessAnalyst
π Python for Everybody ππΌ lukeb.co/PythonForEverybody
π Data Visualization with Tableau ππΌ lukeb.co/Tableau_UCDavis
π΄ββ οΈ Data Science: Foundations using R ππΌ lukeb.co/RforDataScienceJH
Coursera Plus Subscription (7-day free trial) ππΌ lukeb.co/CourseraPlus
DataCamp Courses:
π Python ππΌ lukeb.co/PythonBasicsDataCamp
π Power BI ππΌ lukeb.co/PowerBIDataCamp
π Tableau ππΌ lukeb.co/TableauDataCamp
π΄ββ οΈ R ππΌ lukeb.co/RDataCamp
π Data Analyst w/ Python ππΌ lukeb.co/PythonAnalystDataCamp
DataCamp Subscription (Monthly $25USD) ππΌ lukeb.co/DataCampSub
ππΌββοΈ My Courses ππΌ lukeb.co/courses
My Tech for Data Science
(Includes Amazon Affiliate Links)
==================================
π» Dell New XPS 13 (PC of choice) ππΌ geni.us/DellNewXPS13
π» Dell New XPS 15 ππΌ geni.us/DellNewXPS15
π¨πΌβπ» M1 Macbook Air 8GB (Mac of choice) ππΌ geni.us/M1macAir8GB
π¨πΌβπ» M1 Macbook Pro 8GB ππΌ geni.us/M1macPro8GB
π Must-have Mac dock ππΌ geni.us/CalDigitTS3
π₯ M1 Multiple monitor adapter ππΌ geni.us/DisplayLinkAdapter
β¨οΈ Mac Keyboard ππΌ geni.us/MacMagicKeyboard
π± Mac Mouse ππΌ geni.us/MacMagicMouse
πΎ Small (1TB) External HD ππΌ geni.us/WDelements1TB
πΎ Large (14TB) External HD ππΌ geni.us/WDelements14TB
π’ Standing Desk ππΌ geni.us/StandingDeskFezibo
π Data Science Must Read ππΌ geni.us/StorytellingWithData
πΈ Camera of Choice ππΌ geni.us/SonyA6600body
*For computers, I recommend checking the manufacturer's website (i.e., dell.com) for deals/rebates*
Social Media / Contact Me
======================
ππΌββοΈWebsite: lukebarousse.com
π Instagram: instagram.com/lukebarousse
β° TikTok: tiktok.com/@lukebarousse
π Facebook: facebook.com/datavizbyluke
π₯ Business Inquiries: luke@lukebarousse.com
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
Python Fundamentals Course (DataCamp) ππΌ lukeb.co/PythonBasicsDataCamp
Data Analyst Track w/ Python (DataCamp) ππΌ lukeb.co/PythonAnalystDataCamp
(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.
My playlist for starting Python ππΌ youtube.com/playlist?list=PL_CkpxkuPiT9udgCeqZpS4HKF6uIzra3r
Download Python w/ Anaconda here ππΌ anaconda.com/products/individual
Download VS Code here ππΌ code.visualstudio.com/download
Certificates & Courses
==================================
Coursera Courses:
π Google Data Analytics Certificate (START HERE) ππΌ lukeb.co/GoogleCert
πΏ SQL for Data Science ππΌ lukeb.co/SQLdataScience
π§Ύ Excel Skills for Business ππΌ lukeb.co/ExcelBusinessAnalyst
π Python for Everybody ππΌ lukeb.co/PythonForEverybody
π Data Visualization with Tableau ππΌ lukeb.co/Tableau_UCDavis
π΄ββ οΈ Data Science: Foundations using R ππΌ lukeb.co/RforDataScienceJH
Coursera Plus Subscription (7-day free trial) ππΌ lukeb.co/CourseraPlus
DataCamp Courses:
π Python ππΌ lukeb.co/PythonBasicsDataCamp
π Power BI ππΌ lukeb.co/PowerBIDataCamp
π Tableau ππΌ lukeb.co/TableauDataCamp
π΄ββ οΈ R ππΌ lukeb.co/RDataCamp
π Data Analyst w/ Python ππΌ lukeb.co/PythonAnalystDataCamp
DataCamp Subscription (Monthly $25USD) ππΌ lukeb.co/DataCampSub
ππΌββοΈ My Courses ππΌ lukeb.co/courses
My Tech for Data Science
(Includes Amazon Affiliate Links)
==================================
π» Dell New XPS 13 (PC of choice) ππΌ geni.us/DellNewXPS13
π» Dell New XPS 15 ππΌ geni.us/DellNewXPS15
π¨πΌβπ» M1 Macbook Air 8GB (Mac of choice) ππΌ geni.us/M1macAir8GB
π¨πΌβπ» M1 Macbook Pro 8GB ππΌ geni.us/M1macPro8GB
π Must-have Mac dock ππΌ geni.us/CalDigitTS3
π₯ M1 Multiple monitor adapter ππΌ geni.us/DisplayLinkAdapter
β¨οΈ Mac Keyboard ππΌ geni.us/MacMagicKeyboard
π± Mac Mouse ππΌ geni.us/MacMagicMouse
πΎ Small (1TB) External HD ππΌ geni.us/WDelements1TB
πΎ Large (14TB) External HD ππΌ geni.us/WDelements14TB
π’ Standing Desk ππΌ geni.us/StandingDeskFezibo
π Data Science Must Read ππΌ geni.us/StorytellingWithData
πΈ Camera of Choice ππΌ geni.us/SonyA6600body
*For computers, I recommend checking the manufacturer's website (i.e., dell.com) for deals/rebates*
Social Media / Contact Me
======================
ππΌββοΈWebsite: lukebarousse.com
π Instagram: instagram.com/lukebarousse
β° TikTok: tiktok.com/@lukebarousse
π Facebook: facebook.com/datavizbyluke
π₯ Business Inquiries: luke@lukebarousse.com
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










