Comprehensive coverage of Python's scientific computing libraries for rapid development and exploratory data analysis
Updated content for the latest versions of NumPy, SciPy, Matplotlib, and more for current best practices
Case studies in fundamental scientific disciplines and data science to illustrate real-world applications
Hands-on examples demonstrating array-based, symbolic, and visualization techniques
Includes optimization, equation solving, and machine learning modules for a full computational toolkit
Summarized by Shop
Learn how to leverage the scientific computing and data analysis capabilities of Python, its standard library, and popular open-source numerical Python packages like NumPy, SymPy, SciPy, matplotlib, and more. This book demonstrates how to work with mathematical modeling and solve problems with numerical, symbolic, and visualization techni