๐ฐ Welcome to MyBunny.TV โ Your Gateway to Unlimited Entertainment! ๐ฐ
Enjoy 10,000+ Premium HD Channels, thousands of movies & series, and experience lightning-fast instant activation.
Reliable, stable, and built for the ultimate streaming experience โ no hassles, just entertainment!
๐ Join the fastest growing IPTV community today and discover why everyone is switching to MyBunny.TV!
Trebacz T. Python For Effect. Master Data Visualization and Analysis...2024
To start this P2P download, you have to install a BitTorrent client like
qBittorrent
Category:Other Total size: 2.34 MB Added: 4 months ago (2025-05-09 14:54:01)
Share ratio:11 seeders, 0 leechers Info Hash:742732222D80E7E23EA9C73C505F0D75EA02118E Last updated: 1 hour ago (2025-09-14 01:37:06)
Report Bad Torrent
×
Description:
Textbook in PDF format
In todayโs rapidly evolving technological landscape, data is often likened to the new oilโan invaluable catalyst that drives innovation and strategic decision-making across countless industries. From forecasting market behavior to enhancing customer engagement, data science has become the cornerstone of modern enterprises. As the volume of data grows exponentially, those who possess the expertise to skillfully manipulate, analyze, and visualize it stand out as industry leaders.
Python for Effect: Master Data Visualization and Analysis aims to refine your data skills, enabling you not only to interpret complex datasets but also to transform them into actionable insights. This book is designed to furnish you with the essential Python skills needed for advanced visualization and
analytical approaches, ultimately helping you derive clear and meaningful conclusions from your data.
Introduction
Setting Up Your Python Environment
Python Fundamentals for Data Analysis
Exploring Popular Python Libraries
Software Engineering Best Practices
Handling Big Data with Python
Data Cleaning and Preprocessing
Real-World Data Applications
Advanced Data Visualization Techniques
Introduction to Machine Learning
Statistical Analysis and Techniques
Integrating Python with Other Tools
Community and Continued Learning
Conclusion