Uploaded October 2020 | Updated September 2026, 13 hours ago

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Python Fundamentals Course (DataCamp) 👉🏼 lukeb.co/PythonBasicsDataCamp
Data Analyst Track w/ Python (DataCamp) 👉🏼 lukeb.co/PythonAnalystDataCamp
(My recommended courses that I took to learn Python!)

This video helps understand the basics of virtual environments & package managers that data analysts and scientists will encounter when working with python. We cover simple concepts to start and then work into implementing virtual environments & installing packages with conda (Anaconda). For pip and venv (virtualenv) users, I call out the differences so you can follow along as well.
Differences of conda v. pip v. virtualenv 👉🏼 docs.conda.io/projects/conda/en/latest/commands.html

My playlist for starting Python 👉🏼 youtube.com/playlist?list=PL_CkpxkuPiT9udgCeqZpS4HKF6uIzra3r
Download Python w/ Anaconda here 👉🏼 anaconda.com/products/individual
Download VS Code here 👉🏼 code.visualstudio.com/download

Certificates & Courses
==================================
Coursera Courses:
📜 Google Data Analytics Certificate (START HERE) 👉🏼 lukeb.co/GoogleCert
💿 SQL for Data Science 👉🏼 lukeb.co/SQLdataScience
🧾 Excel Skills for Business 👉🏼 lukeb.co/ExcelBusinessAnalyst
🐍 Python for Everybody 👉🏼 lukeb.co/PythonForEverybody
📊 Data Visualization with Tableau 👉🏼 lukeb.co/Tableau_UCDavis
🏴‍☠️ Data Science: Foundations using R 👉🏼 lukeb.co/RforDataScienceJH
Coursera Plus Subscription (7-day free trial) 👉🏼 lukeb.co/CourseraPlus

DataCamp Courses:
🐍 Python 👉🏼 lukeb.co/PythonBasicsDataCamp
📈 Power BI 👉🏼 lukeb.co/PowerBIDataCamp
📊 Tableau 👉🏼 lukeb.co/TableauDataCamp
🏴‍☠️ R 👉🏼 lukeb.co/RDataCamp
🐍 Data Analyst w/ Python 👉🏼 lukeb.co/PythonAnalystDataCamp
DataCamp Subscription (Monthly $25USD) 👉🏼 lukeb.co/DataCampSub

🙋🏼‍♂️ My Courses 👉🏼 lukeb.co/courses

My Tech for Data Science
(Includes Amazon Affiliate Links)
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💻 Dell New XPS 13 (PC of choice) 👉🏼 geni.us/DellNewXPS13
💻 Dell New XPS 15 👉🏼 geni.us/DellNewXPS15
👨🏼‍💻 M1 Macbook Air 8GB (Mac of choice) 👉🏼 geni.us/M1macAir8GB
👨🏼‍💻 M1 Macbook Pro 8GB 👉🏼 geni.us/M1macPro8GB
🔌 Must-have Mac dock 👉🏼 geni.us/CalDigitTS3
🖥 M1 Multiple monitor adapter 👉🏼 geni.us/DisplayLinkAdapter
⌨️ Mac Keyboard 👉🏼 geni.us/MacMagicKeyboard
🖱 Mac Mouse 👉🏼 geni.us/MacMagicMouse
💾 Small (1TB) External HD 👉🏼 geni.us/WDelements1TB
💾 Large (14TB) External HD 👉🏼 geni.us/WDelements14TB
🏢 Standing Desk 👉🏼 geni.us/StandingDeskFezibo
📗 Data Science Must Read 👉🏼 geni.us/StorytellingWithData
📸 Camera of Choice 👉🏼 geni.us/SonyA6600body
*For computers, I recommend checking the manufacturer's website (i.e., dell.com) for deals/rebates*

Social Media / Contact Me
======================
🙋🏼‍♂️Website: lukebarousse.com
🌄 Instagram: instagram.com/lukebarousse
⏰ TikTok: tiktok.com/@lukebarousse
📘 Facebook: facebook.com/datavizbyluke
📥 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
01:14 The need for packages & managers
03:28 Using packages & package managers (coding example)
07:34 The problem virtual environments solve
09:32 Showing the problem (coding example)
12:35 The concept of virtual environments
14:40 Using virtual environments (coding example)
18:39 Conclusion

#vscode #pythontutorial #datavisualization