Uploaded October 2020 | Updated September 2026, 10 hours ago
Python Fundamentals Course (DataCamp) ððŒ lukeb.co/PythonBasicsDataCamp
Data Analyst Track w/ Python (DataCamp) ððŒ lukeb.co/PythonAnalystDataCamp
(My recommended courses that I took to learn Python!)
This video covers how data scientists and data analysts run Python on their computers. For this we will look at Command Prompt (PC)/Terminal(Mac), Code (Text) Editors, Integrated Development Environments (IDEs), & Jupyter Notebooks. For all these examples we look at how to use them, their use case, and recommended options
My playlist for starting Python ððŒ youtube.com/playlist?list=PL_CkpxkuPiT9udgCeqZpS4HKF6uIzra3r
Download Python w/ Anaconda here ððŒ anaconda.com/products/individual
Download VS Code here ððŒ code.visualstudio.com/download
Certificates & Courses
==================================
Coursera Courses:
ð Google Data Analytics Certificate (START HERE) ððŒ lukeb.co/GoogleCert
ð¿ SQL for Data Science ððŒ lukeb.co/SQLdataScience
ð§Ÿ Excel Skills for Business ððŒ lukeb.co/ExcelBusinessAnalyst
ð Python for Everybody ððŒ lukeb.co/PythonForEverybody
ð Data Visualization with Tableau ððŒ lukeb.co/Tableau_UCDavis
ðŽââ ïž Data Science: Foundations using R ððŒ lukeb.co/RforDataScienceJH
Coursera Plus Subscription (7-day free trial) ððŒ lukeb.co/CourseraPlus
DataCamp Courses:
ð Python ððŒ lukeb.co/PythonBasicsDataCamp
ð Power BI ððŒ lukeb.co/PowerBIDataCamp
ð Tableau ððŒ lukeb.co/TableauDataCamp
ðŽââ ïž R ððŒ lukeb.co/RDataCamp
ð Data Analyst w/ Python ððŒ lukeb.co/PythonAnalystDataCamp
DataCamp Subscription (Monthly $25USD) ððŒ lukeb.co/DataCampSub
ððŒââïž My Courses ððŒ lukeb.co/courses
My Tech for Data Science
(Includes Amazon Affiliate Links)
==================================
ð» Dell New XPS 13 (PC of choice) ððŒ geni.us/DellNewXPS13
ð» Dell New XPS 15 ððŒ geni.us/DellNewXPS15
ðšðŒâð» M1 Macbook Air 8GB (Mac of choice) ððŒ geni.us/M1macAir8GB
ðšðŒâð» M1 Macbook Pro 8GB ððŒ geni.us/M1macPro8GB
ð Must-have Mac dock ððŒ geni.us/CalDigitTS3
ð¥ M1 Multiple monitor adapter ððŒ geni.us/DisplayLinkAdapter
âšïž Mac Keyboard ððŒ geni.us/MacMagicKeyboard
ð± Mac Mouse ððŒ geni.us/MacMagicMouse
ðŸ Small (1TB) External HD ððŒ geni.us/WDelements1TB
ðŸ Large (14TB) External HD ððŒ geni.us/WDelements14TB
ð¢ Standing Desk ððŒ geni.us/StandingDeskFezibo
ð Data Science Must Read ððŒ geni.us/StorytellingWithData
ðž Camera of Choice ððŒ geni.us/SonyA6600body
*For computers, I recommend checking the manufacturer's website (i.e., dell.com) for deals/rebates*
Social Media / Contact Me
======================
ððŒââïžWebsite: lukebarousse.com
ð Instagram: instagram.com/lukebarousse
â° TikTok: tiktok.com/@lukebarousse
ð Facebook: facebook.com/datavizbyluke
ð¥ 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
01:09 Terminal (Mac)
02:22 Command Prompt (PC)
04:14 Code (Text) Editors
06:29 Integrated Development Environments (IDEs)
08:35 Jupyter Notebooks
10:15 Conclusion
#pythontutorial #datavisualization #jupyternotebook
Python Fundamentals Course (DataCamp) ððŒ lukeb.co/PythonBasicsDataCamp
Data Analyst Track w/ Python (DataCamp) ððŒ lukeb.co/PythonAnalystDataCamp
(My recommended courses that I took to learn Python!)
This video covers how data scientists and data analysts run Python on their computers. For this we will look at Command Prompt (PC)/Terminal(Mac), Code (Text) Editors, Integrated Development Environments (IDEs), & Jupyter Notebooks. For all these examples we look at how to use them, their use case, and recommended options
My playlist for starting Python ððŒ youtube.com/playlist?list=PL_CkpxkuPiT9udgCeqZpS4HKF6uIzra3r
Download Python w/ Anaconda here ððŒ anaconda.com/products/individual
Download VS Code here ððŒ code.visualstudio.com/download
Certificates & Courses
==================================
Coursera Courses:
ð Google Data Analytics Certificate (START HERE) ððŒ lukeb.co/GoogleCert
ð¿ SQL for Data Science ððŒ lukeb.co/SQLdataScience
ð§Ÿ Excel Skills for Business ððŒ lukeb.co/ExcelBusinessAnalyst
ð Python for Everybody ððŒ lukeb.co/PythonForEverybody
ð Data Visualization with Tableau ððŒ lukeb.co/Tableau_UCDavis
ðŽââ ïž Data Science: Foundations using R ððŒ lukeb.co/RforDataScienceJH
Coursera Plus Subscription (7-day free trial) ððŒ lukeb.co/CourseraPlus
DataCamp Courses:
ð Python ððŒ lukeb.co/PythonBasicsDataCamp
ð Power BI ððŒ lukeb.co/PowerBIDataCamp
ð Tableau ððŒ lukeb.co/TableauDataCamp
ðŽââ ïž R ððŒ lukeb.co/RDataCamp
ð Data Analyst w/ Python ððŒ lukeb.co/PythonAnalystDataCamp
DataCamp Subscription (Monthly $25USD) ððŒ lukeb.co/DataCampSub
ððŒââïž My Courses ððŒ lukeb.co/courses
My Tech for Data Science
(Includes Amazon Affiliate Links)
==================================
ð» Dell New XPS 13 (PC of choice) ððŒ geni.us/DellNewXPS13
ð» Dell New XPS 15 ððŒ geni.us/DellNewXPS15
ðšðŒâð» M1 Macbook Air 8GB (Mac of choice) ððŒ geni.us/M1macAir8GB
ðšðŒâð» M1 Macbook Pro 8GB ððŒ geni.us/M1macPro8GB
ð Must-have Mac dock ððŒ geni.us/CalDigitTS3
ð¥ M1 Multiple monitor adapter ððŒ geni.us/DisplayLinkAdapter
âšïž Mac Keyboard ððŒ geni.us/MacMagicKeyboard
ð± Mac Mouse ððŒ geni.us/MacMagicMouse
ðŸ Small (1TB) External HD ððŒ geni.us/WDelements1TB
ðŸ Large (14TB) External HD ððŒ geni.us/WDelements14TB
ð¢ Standing Desk ððŒ geni.us/StandingDeskFezibo
ð Data Science Must Read ððŒ geni.us/StorytellingWithData
ðž Camera of Choice ððŒ geni.us/SonyA6600body
*For computers, I recommend checking the manufacturer's website (i.e., dell.com) for deals/rebates*
Social Media / Contact Me
======================
ððŒââïžWebsite: lukebarousse.com
ð Instagram: instagram.com/lukebarousse
â° TikTok: tiktok.com/@lukebarousse
ð Facebook: facebook.com/datavizbyluke
ð¥ 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
01:09 Terminal (Mac)
02:22 Command Prompt (PC)
04:14 Code (Text) Editors
06:29 Integrated Development Environments (IDEs)
08:35 Jupyter Notebooks
10:15 Conclusion
#pythontutorial #datavisualization #jupyternotebook










