Learn Pandas in 30 Minutes - Python Pandas Tutorial

Tech With Tim August 6, 2025
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Tech With Tim

@techwithtim

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I'm Tim, a self-taught developer & entrepreneur who brings you educational tech content without the fluff and noise. I went from a broke dropout working at McDonalds to making $100k+/month as a developer, travelling the world and moving to Dubai all before the age of 22. I've since helped thousands of aspiring developers land their first software engineering role and assisted mid-level devs land jobs at companies like google. Max landed his first developer job 3 weeks after going through my training. Youssef was laid off and landed a new role in 2 months while working with me. Jamario landing competing job offers before graduating college. If you want to learn more you can click the first link and watch my free training on how we help developers who already know how to code get hired by top tech companies.

Video Description

Visit https://postmarkapp.com/lp/tech-with-tim and use coupon code TECHWITHTIM to get 20% off any plan for three months. In this video, you'll learn how to use the Pandas Library in Python. Now, if you're interested at all in data science, AI, machine learning, or data visualization, Pandas is a must learn. And fortunately, I can teach you almost all of the fundamentals that will get you quite far. DevLaunch is my mentorship program where I personally help developers go beyond tutorials, build real-world projects, and actually land jobs. No fluff. Just real accountability, proven strategies, and hands-on guidance. Learn more here - https://training.devlaunch.us/tim 🎞 Video Resources 🎞 Code in this video: https://github.com/techwithtim/PanadasTutorial UV Video: https://www.youtube.com/watch?v=6pttmsBSi8M ⏳ Timestamps ⏳ 00:00 | Overview 00:22 | Setup/Install 02:05 | DataFrame Fundamentals 08:46 | Using Jupyter Notebooks 09:55 | Loading CSV Files 11:00 | Exploring a DataFrame 13:24 | Indexing By Row & Column 17:40 | Filtering 22:03 | Updating Data 25:48 | Deleting Data 26:18 | Cleaning Data 28:00 | Analyzing Data Hashtags #PandasPython #Python #SoftwareEngineer

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