40 PYTHON LIBRARIES: Master the Most Powerful Tools for Data, AI, and Modern Development. An Essential Guide for Students and Professionals - 2024 Edition
About this ebook
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
Ratings and reviews
About the author
Amazon Best Seller Author, Diego Rodrigues is an International Consultant and Writer specializing in Market Intelligence, Technology and Innovation. With 42 international certifications from institutions such as IBM, Google, Microsoft, AWS, Cisco, and Boston University, Ec-Council, Palo Alto and META.
Rodrigues is an expert in Artificial Intelligence, Machine Learning, Data Science, Big Data, Blockchain, Connectivity Technologies, Ethical Hacking and Threat Intelligence.
Since 2003, Rodrigues has developed more than 200 projects for important brands in Brazil, USA and Mexico. In 2024, he consolidates himself as one of the largest new generation authors of technical books in the world, with more than 180 titles published in six languages.
