Understanding Virtual Environments for Data Science / Data Analysis - P.4

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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 👉🏼 https://docs.conda.io/projects/conda/...

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👨🏼‍🏫 All courses 👉🏼 https://kit.co/lukebarousse/data-anal...

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💻 Dell New XPS 13 (PC of choice) 👉🏼 https://geni.us/DellNewXPS13
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For computers, I recommend checking the manufacturer's website (i.e., dell.com) for deals/rebates

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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