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.

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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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Hi Luke, I recently completed a 6 month data analytics bootcamp and have since been trying to incorporate what I've learned into my work. However, I've been struggling with foundational concepts such as setting up a proper working environment. I just came across your python setup series and it has been super helpful and was exactly what I was looking for. I look forward to watching more of your videos!

andy
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As an FPGA engineer, I've been enjoying and learning a lot from your content lately. You make data science fun and doable. I really hope to see this channel reaches greater number of audience. Cheers!

candostyavuz
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Thank you so much, i start leanr DA and try to set up the vscode for my studying journey, this series is a killer. love

umamiimamu
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Thank you Luke, for the series. This has cleared up so much confusion with virtual environments

Prasadavajjhala
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great series, really helped me understand how to use virtual environments with anaconda and how to use jupyter notebooks within VSCode. Loved the visuals as well

brianyi
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This was the series I needed to get started with Python 🙌

pancakez
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All I can say is thank God for these series of videos. But I honestly can't believe that well into the 21st century, you can't just open the program and start coding. It's like having to walk 5 miles to draw water from a well to take home just to make a cup of tea. Anyway, really appreciate the content, many thanks.

danquixote
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hi luke, many thanks for this useful series, it's my first steps in python word, i have a lot of data in my daily jobs and hope use python to make daily task more easier and go further in my analysis

aissamboudra
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Hello friend! I’m student of data science, and use python and R language.
I’m from Brazil and followed in your channel, and in your personal site too.
Congrats for your explanation! The better was R versus Python!

alexpietzak
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Thanks this helped me set up my macbook for machine learning since i needed python. Your videos are very helpful

modoulaminceesay
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You made a difficult concept so much easier, thanks!

davidmiller-tdsl
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This video was really helpful, your explanations were clear and easy to follow. Thank you very much!

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I really enjoyed this video series, your efforts are much appreciated.

ahmedabdelfatah
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This is amazing. I dont use VSCode before, the adds on is kinda awesome.

adityaariewijaya
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thanks for the information, really helpful

shanygnedowney
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hello luke nice to know you, your video is very good for me who is newbie in statistics.
I'd like to ask if you don't use tools like SPSS, Minitab, SAS, or R to process the data as a data analyst. Thank you

basrikomaruf
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In the jupyter notebook, how do you get the cell highlighted with the thick blue line ? Is this also an extension?

M_le-nr
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If you still cannot get Pylint to work after installing and reloading your environment, add the code below to the your user settings.json file...

ctrl + shift + p
Select settings.json

"python.linting.enabled": true,
true,
false,

Adac
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Congratulations on the channel! I have a question, how do you set up the terminal like yours, when you start typing it autocompletes and suggests you how to finish the script, in light gray?
Currently it only works for me by pressing e tab, but not always.
I have a mac. Thanks!

nicolasaladino
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Hi Luke, thanks for these awesome series. One thing I don't understand though, where is the best place to keep the created virtual environment files/ folder (containing packages and libraries) in relation to your project folder or it doesn't really matter? From your example the virtual environment stuffs were created and kept outside projectexample folder, no? Or perhaps I don't need to worry about this at all? A bit confusing when you start playing with venv, virtualenv, conda and they all create their virtual environment folder all over the places :)

Idunnoanymore_aahh