Pandas vs PySpark vs Polars: The DataFrame Explained Visually
Understand the DataFrame, the one concept behind Pandas, PySpark, and Polars in Python. ► DataCamp | Data Manipulation in Python https://datacamp.pxf.io/YV2rAP ► DataCamp | Big Data with PySpark https://datacamp.pxf.io/KByo6N ► DataCamp | Introduction to Polars https://datacamp.pxf.io/DWRj62 ► DataCamp | Data Transformation with Polars https://datacamp.pxf.io/5k1Xd2 ► https://youtu.be/9GVqKuTVANE ━━━━━━━━━━━━━━━━━━━━ *🏆 My Academy (recommended)* - *SQL* https://www.datawithbaraa.com/course/sql-full-course-for-beginners - *Python* https://www.datawithbaraa.com/course/the-ultimate-python-mastery - *Python Handbook* https://academy.datawithbaraa.com/l/digital_download/998313/the-python-handbook - *Tableau* https://www.datawithbaraa.com/course/tableau-ultimate-full-course-for-beginners *🎓 Also on Udemy* - *SQL* https://www.udemy.com/course/the-complete-sql-bootcamp-30-hours-go-from-zero-to-hero/?referralCode=D20781228C2EB8B98339 - *Python* https://www.udemy.com/course/the-complete-python-bootcamp-13hours-go-from-zero-to-hero/?referralCode=776491A4119FF8AF41CA - *Tableau* https://www.udemy.com/course/the-tableau-ultimate-course-from-zero-to-hero/?referralCode=6544726FDC491A6B25EC 📬 *Newsletter (join 123k+ data friends)* https://www.blog.datawithbaraa.com ━━━━━━━━━━━━━━━━━━━━ 📖 *Table of Content* 0:00 Introduction 0:34 From single values to data structures 4:43 The DataFrame: your table in memory 5:50 Data engineering and analytics (ETL) 7:55 Datacamp 11:41 Pandas: one machine, runs instantly 12:45 PySpark: many machines, lazy 14:29 Polars: the best of both worlds 15:57 Recap ━━━━━━━━━━━━━━━━━━━━ *CONNECT WITH ME* 💬 Discord https://discord.gg/gsVJbMxKcA 👨💻 LinkedIn https://www.linkedin.com/in/baraa-khatib-salkini/ 📸 Instagram https://www.instagram.com/datawithbaraa/ 🎥 TikTok https://www.tiktok.com/@datawithbaraa 🧭 Notion Roadmaps https://www.notion.com/@datawithbaraa Note: some links above are affiliates. I may earn a small commission if you enroll. Thank you for supporting the channel. #python #pandas #pyspark #polars #dataengineering