Watch Python: Pandas Tutorial | Intro to DataFrames Video Tutorial


Tutorial Details & Info

Tutorial Title: Python: Pandas Tutorial | Intro to DataFrames
Instructor / Channel: Programming and Math Tutorials
Lesson Runtime: 20:01 Minutes
Publish Date: June 18, 2018
Total Students / Views: 330,358 views

Watch and learn Python: Pandas Tutorial | Intro to DataFrames created by Programming and Math Tutorials. The total lesson runtime is 20:01 minutes with crystal clear HD video and audio quality. Watch this video tutorial for free without any subscription or sign-up required.

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Course Description & Lesson Notes

Official Video Description:

Intro tutorial on how to use Python Pandas DataFrames (spread sheet) library. Intro to statistical data analysis and data science using array operations. =======CONTENTS======= 0:00 Intro 2:45 ex1: hard-coded data to df 4:33 ex2: text file to df 5:22 ex3: print head, tail 6:06 ex4: get dtypes, index, columns, values 7:30 ex5: describe (statistical summary) 8:11 ex6: sort by a column 9:07 ex7: slicing rows & columns 12:59 ex8: filtering 14:14 ex9: assignment, add new column 17:23 ex10: rename columns 18:37 ex11: iterate a df 19:17 ex12: write to csv RELATED VIDEOS ► Numpy Intro: https://youtu.be/8Mpc9ukltVA ► Numpy Intro Jupyter nb: https://youtu.be/AAS8yoKuK7M ► Pandas Intro: https://youtu.be/e60ItwlZTKM ► Pandas Import Data: https://youtu.be/x2Shyoif3ls ► Pandas Selecting & Filtering: https://youtu.be/DCE6t3vNfvM ► Pandas Time Series: https://youtu.be/QQy_zD-LE-4 ► Pandas and MatPlotLib: https://youtu.be/ALX88JzeQnk ► Matplotlib Intro: https://youtu.be/MbKrSmoMads ► Twitter: https://twitter.com/joejamesusa ► Code: https://bit.ly/Pandas-nb ► Subscribe: https://bit.ly/like-this-channel ► Thank me on Patreon: https://www.patreon.com/joeyajames #Python #Pandas

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🎓 Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for Python: Pandas Tutorial | Intro to DataFrames taught by Programming and Math Tutorials. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

💡 Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for Python: Pandas Tutorial | Intro to DataFrames.
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by Programming and Math Tutorials 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.

📋 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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