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Hands-On Python and NumPy From Basics to Real-World Applications - ebooks1001 - 03-10-2025
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Free Download 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
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.Who Is This Book For?
This book is perfect for
ata 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.Why Choose This Book?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.
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