Hands-On Python and NumPy: From Basics to Real-World Applications by Sarful Hassan
English | January 22, 2025 | ISBN: N/A | ASIN: B0DTTC2KFL | 273 pages | EPUB | 1.37 Mb
English | January 22, 2025 | ISBN: N/A | ASIN: B0DTTC2KFL | 273 pages | EPUB | 1.37 Mb
Hands-On Python and NumPy: From Basics to Real-World Applications
Discover the power of Python and NumPy to supercharge your programming and data analysis skills! Whether you're a beginner or an experienced Python programmer, Hands-On Python and NumPy: From Basics to Real-World Applications is your essential guide to mastering the most powerful library for numerical and scientific computing.
This practical, step-by-step book covers everything from the basics of NumPy arrays to advanced techniques like broadcasting, vectorization, and optimization. With hands-on examples, real-world projects, and clear explanations, this book makes it easy to understand and apply NumPy’s capabilities to solve complex problems.What You'll Learn:
- Effortless Data Manipulation: Work with NumPy arrays for efficient data processing and transformation.
- Mathematical Operations Simplified: Perform advanced calculations with NumPy's built-in functions.
- Real-World Applications: Explore practical case studies, including weather analysis, financial modeling, image compression, and more.
- Advanced Features: Master topics like linear algebra, Fourier transforms, and multithreading.
- Performance Optimization: Learn to optimize memory usage and boost code performance with vectorization.
This book is perfect for:
- Data scientists, engineers, and researchers who need fast and efficient numerical tools.
- Python programmers looking to level up their skills and apply them to real-world scenarios.
- Students and professionals eager to dive into machine learning, data science, or scientific computing.
Packed with actionable insights and practical projects, Hands-On Python and NumPy not only teaches you the fundamentals but also equips you with the skills to apply them in professional settings. Learn to handle real-world data challenges with ease and confidence.