40 Python Libraries

40 PYTHON LIBRARIES

This definitive guide presents the 40 most relevant libraries in the Python ecosystem, organized by application with a clear focus on practical usability. It is ideal for students, developers, and data scientists who want to master essential tools for solving real-world problems with technical efficiency and high performance. Each chapter covers one library with clear explanations, applied examples, and functional instructions for immediate use. You will learn to use the right libraries for data science, machine learning, visualization, web development, automation, statistics, and image processing. Includes: • Scientific computing with NumPy, SciPy, and SymPy • Data analysis and visualization with Pandas, Seaborn, Matplotlib, and Plotly • Machine learning with Scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, and LightGBM • Image processing with OpenCV and Pillow • Web development with Flask, Django, and FastAPI • Data extraction with BeautifulSoup and Requests • Statistical modeling with Statsmodels and PyMC3 • Libraries for automation, performance, NLP, and more This book not only introduces libraries but teaches how to strategically integrate them into real projects. With it, you will achieve technical mastery, agility in building solutions, and high productivity in professional development environments. python, libraries, data science, machine learning, automation, data analysis, visualization, artificial intelligence, web development, deep learning

Humboldt library of science. no. 40, 1883

Python Programming for Biology

This book introduces Python as a powerful tool for the investigation of problems in computational biology, for novices and experienced programmers alike.