Ebooks

Python. Ćwiczenia praktyczne

Andrzej Kierzkowski, Marek Gawryszewski

Python Data Analysis Cookbook. Clean, scrape, analyze, and visualize data with the power of Python!

Ivan Idris

Python Data Analysis. Data manipulation and complex data analysis with Python - Second Edition

Armando Fandango, Ivan Idris

Python Data Analysis. Learn how to apply powerful data analysis techniques with popular open source Python modules

Ivan Idris

Python Data Analysis. Perform data collection, data processing, wrangling, visualization, and model building using Python - Third Edition

Avinash Navlani, Armando Fandango, Ivan Idris

Python Data Cleaning and Preparation Best Practices. A practical guide to organizing and handling data from various sources and formats using Python

Maria Zervou

Python Data Cleaning Cookbook. Modern techniques and Python tools to detect and remove dirty data and extract key insights

Michael Walker

Python Data Cleaning Cookbook. Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI - Second Edition

Michael Walker

Python Data Mining Quick Start Guide. A beginner's guide to extracting valuable insights from your data

Nathan Greeneltch

Python Data Science Essentials. A practitioner’s guide covering essential data science principles, tools, and techniques - Third Edition

Alberto Boschetti, Luca Massaron

Python Data Science Essentials. Become an efficient data science practitioner by thoroughly understanding the key concepts of Python

Alberto Boschetti, Luca Massaron

Python Data Science Essentials. Learn the fundamentals of Data Science with Python - Second Edition

Alberto Boschetti, Luca Massaron

Python Data Science. Niezbędne narzędzia do pracy z danymi. Wydanie II

Jake VanderPlas

Python Data Structures and Algorithms. Improve application performance with graphs, stacks, and queues

Benjamin Baka

Python Data Structures Pocket Primer. A concise guide to Python data structures to enhance your skills

Mercury Learning and Information, Oswald Campesato