Скачать с ютуб How to work with big data files (5gb+) in Python Pandas! в хорошем качестве

How to work with big data files (5gb+) in Python Pandas!

In this video, we quickly go over how to work with large CSV/Excel files in Python Pandas. Instead of trying to load the full file at once, you should load the data in chunks. This is especially useful for files that are a gigabyte or larger. Let me know if you have any questions :). Source code on Github: https://github.com/KeithGalli/Data-Sc... Raw data used (from Kaggle): https://www.kaggle.com/datasets/mkech... I want to start uploading data science tips & exercises to this channel more frequently. What should I make videos on?? ------------------------- Follow me on social media! Instagram |   / keithgalli   Twitter |   / keithgalli   TikTok |   / keithgalli   ------------------------- If you are curious to learn how I make my tutorials, check out this video:    • How to Make a High Quality Tutorial V...   Practice your Python Pandas data science skills with problems on StrataScratch! https://stratascratch.com/?via=keith Join the Python Army to get access to perks! YouTube - https://www.youtube.com/channel/UCq6X... Patreon -   / keithgalli   *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. ------------------------- Video timeline! 0:00 - Overview 1:25 - What not to do. 2:16 - Python code to load in large CSV file (read_csv & chunksize) 8:00 - Finalizing our data