Watch Working with APIs in Python [For Your Data Science Project] Video Tutorial


Tutorial Details & Info

Tutorial Title: Working with APIs in Python [For Your Data Science Project]
Instructor / Channel: StrataScratch
Lesson Runtime: 28:32 Minutes
Publish Date: April 02, 2021
Total Students / Views: 119,519 views

Follow step-by-step with Working with APIs in Python [For Your Data Science Project] presented by StrataScratch. The total lesson runtime is 28:32 minutes providing step-by-step visual instructions. Access this full online lesson today on TutorTube.

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Course Description & Lesson Notes

Official Video Description:

We’re going to be working with the Youtube API to collect video statistics from my channel using the requests python library to make an API call and save it as a pandas dataframe. Working with APIs is a necessary skillset for all data scientists and should be incorporated into your data science projects. I talk about the one data science project you’ll ever need in this video https://bit.ly/3rEt6WG so we’ll start with the first step and learn how to work with APIs in python to collect our data. The python notebook and links to resources are located in this Github repo: https://github.com/Strata-Scratch/api-youtube/blob/main/README.md Link to the video referred to in the Intro: https://www.youtube.com/watch?v=c4Af2FcgamA ______________________________________________________________________ πŸ‘‰ Subscribe to my channel: https://bit.ly/2GsFxmA πŸ‘‰ Playlist for more data science interview questions and answers: https://bit.ly/3jifw81 πŸ‘‰ Playlist for data science interview tips: https://bit.ly/2G5hNoJ πŸ‘‰ Practice more real data science interview questions: https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link ______________________________________________________________________ Timeline: Intro: (0:00​​​​) Coding on Google Colab: (2:00​​​​) Testing with the Requests Library: (4:16​​​​) Working with the YouTube API: (6:32​​​​) Response from Making API Call: (11:00​​​​) Data is in the 'items' Key: (12:22​​​​) Parsing through the Data: (12:57​​​​) Creating the Loop: (16:17​​​​) Making a Second API Call: (18:30​​​​) Saving to a Pandas DataFrame: (20:31​​​​) Implementing Good Software Engineering Fundamentals: (22:40​​​​) Conclusion: (27:03​​​​) ______________________________________________________________________ If you want data science interview practice with real data science interview questions, visit https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT%20description%20link&utm_content=APIs%20in%20Python​​​​. All questions are free and you can even execute SQL and python code in the IDE, but if you want to check out the solutions from me or from other users, you can use ss15 for a 15% discount on the premium plans. ______________________________________________________________________ Contact: If you have any questions, comments, or feedback, please leave them here! Feel free to also email me at nathan@stratascratch.com ______________________________________________________________________ #PythonAPI

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Learn how to understand Working With APIs In Python [For Your Data Science Project] with this in-depth video tutorial guide. Throughout this course, you will discover practical tips for Working With APIs In Python [For Your Data Science Project].

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πŸŽ“ Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for Working with APIs in Python [For Your Data Science Project] taught by StrataScratch. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

πŸ’‘ Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for Working with APIs in Python [For Your Data Science Project].
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by StrataScratch with real-world examples.
  • Best Practices & Key Shortcuts: Time-saving workflows, keyboard shortcuts, and industry-standard recommendations.
  • Troubleshooting & Common Pitfalls: How to avoid common beginner errors and optimize your workflow for peak efficiency.

πŸ“‹ Recommended Prerequisites & Study Notes:

No prior advanced experience is required. Follow along with the video player above on any desktop computer, tablet, or mobile device. Pause and rewind at key steps to practice along with the instructor.

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