Szczegóły ebooka

Pandas Cookbook. Practical recipes for scientific computing, time series, and exploratory data analysis using Python - Third Edition

Pandas Cookbook. Practical recipes for scientific computing, time series, and exploratory data analysis using Python - Third Edition

William Ayd, Matthew Harrison, Wes McKinney

Ebook
Unlock the full power of pandas 2.x with this hands-on cookbook, designed for Python developers, data analysts, and data scientists who need fast, efficient solutions for real-world data challenges. This book provides practical, ready-to-use recipes to streamline your workflow. With step-by-step guidance, you'll master data wrangling, visualization, performance optimization, and scalable data analysis using pandas’ most powerful features.

From importing and merging large datasets to advanced time series analysis and SQL-like operations, this cookbook equips you with the tools to analyze, manipulate, and visualize data like a pro. Learn how to boost efficiency, optimize memory usage, and seamlessly integrate pandas with NumPy, PyArrow, and databases. This book will help you transform raw data into actionable insights with ease.
  • 1. pandas Foundations
  • 2. Selection and Assignment
  • 3. Data Types
  • 4. The pandas I/O System
  • 5. Algorithms and How to Apply Them
  • 6. Visualization
  • 7. Reshaping DataFrames
  • 8. Group By
  • 9. Temporal Data Types and Algorithms
  • 10. General Usage and Performance Tips
  • 11. The pandas Ecosystem
  • Tytuł: Pandas Cookbook. Practical recipes for scientific computing, time series, and exploratory data analysis using Python - Third Edition
  • Autor: William Ayd, Matthew Harrison, Wes McKinney
  • Tytuł oryginału: Pandas Cookbook. Practical recipes for scientific computing, time series, and exploratory data analysis using Python - Third Edition
  • ISBN: 9781836205869, 9781836205869
  • Data wydania: 2024-10-31
  • Format: Ebook
  • Identyfikator pozycji: e_3xf6
  • Wydawca: Packt Publishing