Watch Reading in Files in Pandas | Python Pandas Tutorials Video Tutorial


Tutorial Details & Info

Tutorial Title: Reading in Files in Pandas | Python Pandas Tutorials
Instructor / Channel: Alex The Analyst
Lesson Runtime: 19:17 Minutes
Publish Date: February 28, 2023
Total Students / Views: 322,704 views

Watch and learn Reading in Files in Pandas | Python Pandas Tutorials created by Alex The Analyst. The total lesson runtime is 19:17 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:

Take my Full Python Course Here: https://www.analystbuilder.com/courses/pandas-for-data-analysis In this series we will be walking through everything you need to know to get started in Pandas! In this video, we learn about Reading in Files in Pandas. Datasets in GitHub: CSV - https://bit.ly/3CH1h8E TXT - https://bit.ly/3RGqm7X JSON - https://bit.ly/3RMvJTk EXCEL - https://bit.ly/3ClvRmW Code in GitHub: https://github.com/AlexTheAnalyst/PandasYouTubeSeries/blob/main/Pandas%20101%20-%20Reading%20in%20Files.ipynb Favorite Pandas Course: Data Analysis with Pandas and Python - https://bit.ly/3KHMLlu ____________________________________________ SUBSCRIBE! Do you want to become a Data Analyst? That's what this channel is all about! My goal is to help you learn everything you need in order to start your career or even switch your career into Data Analytics. Be sure to subscribe to not miss out on any content! ____________________________________________ RESOURCES: Coursera Courses: 📖Google Data Analyst Certification: https://coursera.pxf.io/5bBd62 📖Data Analysis with Python - https://coursera.pxf.io/BXY3Wy 📖IBM Data Analysis Specialization - https://coursera.pxf.io/AoYOdR 📖Tableau Data Visualization - https://coursera.pxf.io/MXYqaN Udemy Courses: 📖Python for Data Analysis and Visualization- https://bit.ly/3hhX4LX 📖Statistics for Data Science - https://bit.ly/37jqDbq 📖SQL for Data Analysts (SSMS) - https://bit.ly/3fkqEij 📖Tableau A-Z - http://bit.ly/385lYvN *Please note I may earn a small commission for any purchase through these links - Thanks for supporting the channel!* ____________________________________________ BECOME A MEMBER - Want to support the channel? Consider becoming a member! I do Monthly Livestreams and you get some awesome Emoji's to use in chat and comments! https://www.youtube.com/channel/UC7cs8q-gJRlGwj4A8OmCmXg/join ____________________________________________ Websites: 💻Website: AlexTheAnalyst.com 💾GitHub: https://github.com/AlexTheAnalyst 📱Instagram: @Alex_The_Analyst ____________________________________________ 0:00 Intro 0:58 Read in CSV File 7:39 Read in Txt File 8:53 Read in JSON File 9:32 Read in Excel File 11:30 Looking at Max Rows/Columns 13:35 Looking at Data in DataFrame 18:05 Outro *All opinions or statements in this video are my own and do not reflect the opinion of the company I work for or have ever worked for*

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🎓 Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for Reading in Files in Pandas | Python Pandas Tutorials taught by Alex The Analyst. 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 Reading in Files in Pandas | Python Pandas Tutorials.
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by Alex The Analyst 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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