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How to create & deploy an API in Python! (with interactive documentation)
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In this video, we work through the process of creating and deploying a Python3 based API using libraries such as Flask, Flask-Restful, & Flasgger.
In the second video, we progress to implementing POST requests and constructing a full-fledged Book Review API, similar to services like Goodreads. This involves integrating API functionality to post and retrieve book reviews from a database, with practical examples using Airtable for database interaction.
Additionally, we cover essential practices like working with GitHub repositories, managing Python libraries, and employing Flask and Flask-Restful for API development. The skills in crafting effective GET and POST requests are emphasized, highlighting the importance of efficient system communication.
This video is ideal for anyone keen on enhancing their Python programming, API development, and cloud deployment skills. Whether you're a beginner or an experienced developer, this tutorial provides valuable experience in developing well-documented and user-friendly APIs.
Video timeline!
0:00 - Video overview
1:18 - What we're building
3:20 - How to get setup with Github template code
7:00 - Taking a look at the Flask, Flasgger Python3 code
8:38 - Testing some API requests (GET) locally
13:09 - Building another GET request endpoint (with multiple parameters)
14:34 - Using ChatGPT to help us build another endpoint
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Follow me on social media!
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Practice your Python Pandas data science skills with problems on StrataScratch!
Join the Python Army to get access to perks!
*I use affiliate links on the products that I recommend. I may earn a purchase commission or a referral bonus from the usage of these links.
In the second video, we progress to implementing POST requests and constructing a full-fledged Book Review API, similar to services like Goodreads. This involves integrating API functionality to post and retrieve book reviews from a database, with practical examples using Airtable for database interaction.
Additionally, we cover essential practices like working with GitHub repositories, managing Python libraries, and employing Flask and Flask-Restful for API development. The skills in crafting effective GET and POST requests are emphasized, highlighting the importance of efficient system communication.
This video is ideal for anyone keen on enhancing their Python programming, API development, and cloud deployment skills. Whether you're a beginner or an experienced developer, this tutorial provides valuable experience in developing well-documented and user-friendly APIs.
Video timeline!
0:00 - Video overview
1:18 - What we're building
3:20 - How to get setup with Github template code
7:00 - Taking a look at the Flask, Flasgger Python3 code
8:38 - Testing some API requests (GET) locally
13:09 - Building another GET request endpoint (with multiple parameters)
14:34 - Using ChatGPT to help us build another endpoint
-------------------------
Follow me on social media!
-------------------------
Practice your Python Pandas data science skills with problems on StrataScratch!
Join the Python Army to get access to perks!
*I use affiliate links on the products that I recommend. I may earn a purchase commission or a referral bonus from the usage of these links.
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