Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter - podcast episode cover

Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter

Feb 15, 202513 min
--:--
--:--
Download Metacast podcast app
Listen to this episode in Metacast mobile app
Don't just listen to podcasts. Learn from them with transcripts, summaries, and chapters for every episode. Skim, search, and bookmark insights. Learn more

Episode description

This Book excerpt is from the Book Python for Data Analysis by Wes McKinney. The book focuses on how to perform data analysis using Python, specifically with the libraries pandas, NumPy, and Jupyter. The excerpt introduces key concepts and libraries for working with data, such as NumPy arrays, pandas DataFrames, and the statsmodels package. It also explains how to read, write, and manipulate data in different formats, including CSV, JSON, and HDF5. Finally, the excerpt dives into techniques for analyzing and visualizing data, such as using seaborn and matplotlib.

You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary

Get the Book now from Amazon:
https://www.amazon.com/Python-Data-Analysis-Wes-McKinney-ebook/dp/B0B9HY3WX7?&linkCode=ll1&tag=cvthunderx-20&linkId=9b751e20e84b272b7e9b92fd3ceec965&language=en_US&ref_=as_li_ss_tl




Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
For the best experience, listen in Metacast app for iOS or Android