This INCREDIBLE trick will speed up your data processes. скачать в хорошем качестве

This INCREDIBLE trick will speed up your data processes.

In this video we discuss the best way to save off data as files using python and pandas. When you are working with large datasets there comes a time when you need to store your data. Most people turn to CSV files because they are easy to share and universally used. But there are much better options out there! Watch as Rob Mulla, Kaggle grandmaster, discusses some alternative ways of saving data files: pickle, parquet and feather files. I run some benchmarks to show that you can save time, space and keep the important metadata about your files in the process! Timeline 00:00 Intro 00:49 Creating our Data 02:08 CSVs 04:39 Setting dtypes for CSVs 06:15 Pickle Files 07:16 Parquet ❤️ 09:07 Feather 10:31 Other Options 11:02 Benchmarking 12:19 Takeaways 12:43 Outro Code Gist: https://gist.github.com/RobMulla/7384... Follow me on twitch for live coding streams:   / medallionstallion_   Other Videos: Speed up Pandas:    • Make Your Pandas Code Lightning Fast   Efficient Pandas Dataframes:    • Speed Up Your Pandas Dataframes   Inroduction to Pandas:    • A Gentle Introduction to Pandas Data ...   Exploritory Data Analysis Video:    • Exploratory Data Analysis with Pandas...   Audio Data in Python:    • Audio Data Processing in Python   Image Data in Python:    • Image Processing with OpenCV and Python   Youtube: https://youtube.com/@robmulla?sub_con... Discord:   / discord   Twitch:   / medallionstallion_   Twitter:   / rob_mulla   Kaggle: https://www.kaggle.com/robikscube #python #code #datascience #pandas