Python for AI and Data Analysis: The Hands-On Guide to Data Wrangling, Machine Learning, and Automation with Pandas, NumPy, and Matplotlib New

Python for AI and Data Analysis: The Hands-On Guide to Data Wrangling, Machine Learning, and Automation with Pandas, NumPy, and Matplotlib New (Rheinwerk Computing) book cover

Python for AI and Data Analysis: The Hands-On Guide to Data Wrangling, Machine Learning, and Automation with Pandas, NumPy, and Matplotlib New (Rheinwerk Computing)

Author(s): Johannes Schildgen (Author)

  • Publisher Finelybook 出版社: Rheinwerk Computing
  • Publication Date 出版日期: September 24, 2026
  • Edition 版本: New
  • Language 语言: English
  • Print length 页数: 282 pages
  • ISBN-10: 1493228927
  • ISBN-13: 9781493228928

Book Description

Not a programmer by trade, but still want to use Python and AI in your day-to-day work? No problem! Learn how to use Python to analyze data, automate tasks, and work with models without getting bogged down by unnecessary busy work. You’ll learn about key tools like Visual Studio Code and Jupyter Notebooks and then jump straight into data analysis and visualization with NumPy, Pandas, and Matplotlib. Hands-on examples will have you learning to clean, filter, and transform data, perform calculations, and create charts and interactive plots—right out of the gate!

  • A practical guide to Python for AI and data projects
  • Learn to analyze and visualize data with NumPy, Pandas, and Matplotlib
  • Use AI and machine learning for predictive modeling, text analysis, and image recognition

Data Analysis and Visualization
Get hands on with the Python data stack. Use NumPy and Pandas to load, clean, filter, and transform data from CSV, Excel, JSON, and other formats. Then turn your results into compelling charts and interactive plots with Matplotlib.

Machine Learning and AI
Apply the tools professionals use! Work with classical machine learning methods—linear regression, decision trees, clustering, and more—before moving into natural language processing, sentiment analysis, image classification, and deep learning.

Automation and Real-World Applications
Take Python beyond analysis. Build lightweight web tools with Flask and Streamlit, scrape web pages, query databases, and automate recurring tasks—from PDF processing and document generation to scheduled data retrieval and email notifications.

Editorial Reviews

Editorial Reviews

About the Author

Prof. Dr. Johannes Schildgen is a professor of databases, specializing in big data, at Ostbayerische Technische Hochschule (OTH) Regensburg (the Regensburg University of Applied Sciences). For nearly a decade, he has taught Python programming to students. As a keynote speaker, he regularly delivers engaging talks on digitalization, artificial intelligence, and other IT-driven future trends.

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