How to use a Public API | Using a Public API with Python

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APIs are extremely useful to know how to use. In this video we walk through what an API is and then we look at how to actually use it.

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0:00 Intro
0:12 What is an API?
1:38 Looking at CoinMarketCap API
4:53 Using an API Key with Python
9:56 API JSON format to Dataframe
12:26 Outro

*All opinions or statements in this video are my own and do not reflect the opinion of the company I work for or have ever worked for*
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Super helpful as always @Alex .
Love that you didn't censor the glitches, errors, and obstacles and instead explained that it's a reality and described how you deal with it. This is as helpful as the technical aspects.

nathaneckel
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If you are having the IOPub data rate exceed error here is something I noticed. First, make sure that Jupyter Notebook is updated in the anaconda navigator. Second, run the command that Alex shows inside the Anaconda Powershell Prompt. Not sure why that specifically works but it works

JesusSambrine
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I surveyed YouTube looking for a practical explanation to this topic, this one is the best ever. I just found what I was looking for after being frustrated and depressed. Thank you so much Alex

goodperson
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Alex you are the best data science YouTuber in the world. Thanks for the great content we truly appreciate it.

bredennyatoro
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Hey Alex, I can't thank you enough for all the useful videos and resources you share. Thank you so much for all your efforts. I have learned a lot from your videos and still learning...!! keep doing the great work.

mariaalvi
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Nice video 😀… You had to restart the kernel once you have changed the data rate limit. Just in case anyone does not know, you should restart the kernel after installing a package from the pypi using the pip/pip3.

arghadeepmodak
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I got stucked for about 30 minutes trying to connect it to DataSpell. It worked, now I can leave the tutorial with peace :D Thanks!

jaroslavkrbec
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That's just awesome Eagerly waiting for full project

shashipaul
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Thank you Alex, I started to believe its not important what you do, most important part is how you do. And I can say, you doing great! So useful and informative video! Thanks a lot

ahmetalperenyildirim
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Loved it! I started Youtube recently and I'm still small, but you are one my main inspirations for taking this step. Keep doing what you do!

felixc.programs
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After increasing the data limit, I just closed everything and opened the notebook again and it worked fine :) Thank you for your videos!

fwvvidz
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Hey Alex, I have been meaning to get my hands dirty with the API and now I feel a bit more confident in testing it out and seeing it for myself. Looking forward to the API Project.

dakshbhatnagar
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Thank you so much Alex!
this is Super Helpful!
I'm trying to pulling up data using API with python before and I got stuck .
But, thanks for this video. I'm ready for the next step

lydiapuspita
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Nice video, thank you! Looking forward to the project video(s) that you mentioned!

amandaahringer
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Thank you so much, Alex!! It is really intriguing for me. I cannot wait for the further relevant projects.

thuhuongdoi
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Good video, this will help people get over the scary barrier of an API.
Thank you!

ulisessantana
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Cannot wait for next video :)) Love your tutorials

AgaGrusz
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I love how real this video gets when the unexpected error occured. Obviously everyone has encountered something similar and things don’t go as planned! 😂

kentan
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Thank you for uploading this. It was worth watching

kahfilakib
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Good training. Thanks for putting this together.

raymondjurado