Uploaded July 2021 | Updated September 2026, 1 week ago
In this video @TiffInTech and I give you some insight into what APIs are and how they are useful in the field of data science.
I think that APIs are one of the most underrated tools that data scientists use or implement.
Check out Tiff's Channel: @TiffInTech
Her Instagram: instagram.com/tiffintech/?hl=en
Her Tik Tok: tiktok.com/@tiffintech?lang=en
Some awesome public APIs: github.com/public-apis/public-apis
My Leaderboard Project: youtube.com/watch?v=myhoWUrSP7o&ab_channel=KenJee
Why are APIs important for data scientists?
1) Great way to access new data or build consistency around a data pipeline
2) One of the most efficient ways to share our models or findings with software engineers or other data scientists
3) Leveraging pre built models so we don't have to do rework
How to use API's - All apis are a little bit different, but most of the times you send a request to the API endpoint. With that request you can either receive back data or a service, or request that the api makes a change to the system that it is attached to.
How to create APIs - APIs consist mostly of a web server forwarding on a process to another application. You can build an api by creating a web server in flask, fast api, or other libraries and hosting it on the cloud.
0:00 Intro
0:25 Special Guest Intro!
0:50 What is an API?
1:40 Reason 1
2:33 Reason 2
3:02 Reason 3
3:46 How do you use an API?
4:29 How do you make an API?
5:07 Video suggestions?
#DataScience #KenJee #API
⭕ Subscribe: youtube.com/c/kenjee1?sub_confirmation=1
🎙 Listen to My Podcast: youtube.com/c/KensNearestNeighborsPodcast
🕸 Check out My Website - kennethjee.com
✍️Sign up for My Newsletter - kennethjee.com/newsletter
📚 Books and Products I use - amazon.com/shop/kenjee (affiliate link)
Partners & Affiliates
🌟 365 Data Science - Courses ( 57% Annual Discount): 365datascience.pxf.io/P0jbBY
🌟 Interview Query - interviewquery.com/?ref=kenjee
MORE DATA SCIENCE CONTENT HERE:
🐤My Twitter - twitter.com/KenJee_DS
👔 LinkedIn - linkedin.com/in/kenjee
📈 Kaggle - kaggle.com/kenjee
📑 Medium Articles - medium.com/@kenneth.b.jee
💻 Github - github.com/PlayingNumbers
🏀 My Sports Blog -playingnumbers.com
Check These Videos Out Next!
My Leaderboard Project: youtube.com/watch?v=myhoWUrSP7o&ab_channel=KenJee
66 Days of Data: youtube.com/watch?v=qV_AlRwhI3I&ab_channel=KenJee
How I Would Learn Data Science in 2021: youtube.com/watch?v=41Clrh6nv1s&ab_channel=KenJee
My Playlists
Data Science Beginners: youtube.com/playlist?list=PL2zq7klxX5ATMsmyRazei7ZXkP1GHt-vs
Project From Scratch: youtube.com/watch?v=MpF9HENQjDo&list=PL2zq7klxX5ASFejJj80ob9ZAnBHdz5O1t&ab_channel=KenJee
Kaggle Projects: youtube.com/playlist?list=PL2zq7klxX5AQXzNSLtc_LEKFPh2mAvHIO
In this video @TiffInTech and I give you some insight into what APIs are and how they are useful in the field of data science.
I think that APIs are one of the most underrated tools that data scientists use or implement.
Check out Tiff's Channel: @TiffInTech
Her Instagram: instagram.com/tiffintech/?hl=en
Her Tik Tok: tiktok.com/@tiffintech?lang=en
Some awesome public APIs: github.com/public-apis/public-apis
My Leaderboard Project: youtube.com/watch?v=myhoWUrSP7o&ab_channel=KenJee
Why are APIs important for data scientists?
1) Great way to access new data or build consistency around a data pipeline
2) One of the most efficient ways to share our models or findings with software engineers or other data scientists
3) Leveraging pre built models so we don't have to do rework
How to use API's - All apis are a little bit different, but most of the times you send a request to the API endpoint. With that request you can either receive back data or a service, or request that the api makes a change to the system that it is attached to.
How to create APIs - APIs consist mostly of a web server forwarding on a process to another application. You can build an api by creating a web server in flask, fast api, or other libraries and hosting it on the cloud.
0:00 Intro
0:25 Special Guest Intro!
0:50 What is an API?
1:40 Reason 1
2:33 Reason 2
3:02 Reason 3
3:46 How do you use an API?
4:29 How do you make an API?
5:07 Video suggestions?
#DataScience #KenJee #API
⭕ Subscribe: youtube.com/c/kenjee1?sub_confirmation=1
🎙 Listen to My Podcast: youtube.com/c/KensNearestNeighborsPodcast
🕸 Check out My Website - kennethjee.com
✍️Sign up for My Newsletter - kennethjee.com/newsletter
📚 Books and Products I use - amazon.com/shop/kenjee (affiliate link)
Partners & Affiliates
🌟 365 Data Science - Courses ( 57% Annual Discount): 365datascience.pxf.io/P0jbBY
🌟 Interview Query - interviewquery.com/?ref=kenjee
MORE DATA SCIENCE CONTENT HERE:
🐤My Twitter - twitter.com/KenJee_DS
👔 LinkedIn - linkedin.com/in/kenjee
📈 Kaggle - kaggle.com/kenjee
📑 Medium Articles - medium.com/@kenneth.b.jee
💻 Github - github.com/PlayingNumbers
🏀 My Sports Blog -playingnumbers.com
Check These Videos Out Next!
My Leaderboard Project: youtube.com/watch?v=myhoWUrSP7o&ab_channel=KenJee
66 Days of Data: youtube.com/watch?v=qV_AlRwhI3I&ab_channel=KenJee
How I Would Learn Data Science in 2021: youtube.com/watch?v=41Clrh6nv1s&ab_channel=KenJee
My Playlists
Data Science Beginners: youtube.com/playlist?list=PL2zq7klxX5ATMsmyRazei7ZXkP1GHt-vs
Project From Scratch: youtube.com/watch?v=MpF9HENQjDo&list=PL2zq7klxX5ASFejJj80ob9ZAnBHdz5O1t&ab_channel=KenJee
Kaggle Projects: youtube.com/playlist?list=PL2zq7klxX5AQXzNSLtc_LEKFPh2mAvHIO
