{"product_id":"learn-all-about-numpy-9798394954917","title":"Learn all about NumPy","description":"\u003cp\u003e • Author(s): Innoware Pjp\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Computers \u0026amp; Technology\u003c\/p\u003e\u003cp\u003e\u003cb\u003eLearn all about NumPy\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eNumPy, short for Numerical Python, is a powerful library in the Python ecosystem that provides support for efficient numerical computations, particularly with large multidimensional arrays and matrices. It serves as a fundamental building block for scientific computing and data analysis in Python. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eThe book covers the following: \u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e\u003cb\u003e1 Introduction to NumPy\u003c\/b\u003e\u003cbr\u003eWhat is NumPy?\u003cbr\u003eHistory and background\u003cbr\u003eAdvantages and applications\u003cbr\u003eInstalling NumPy \u003cp\u003e\u003c\/p\u003e\u003cb\u003e2 NumPy Basics\u003c\/b\u003e\u003cbr\u003eNumPy arrays: creation, attributes, and operations\u003cbr\u003eData types and casting\u003cbr\u003eIndexing and slicing arrays\u003cbr\u003eArray manipulation: reshaping, resizing, and stacking\u003cbr\u003eArray broadcasting \u003cp\u003e\u003c\/p\u003e\u003cb\u003e3 Array Computations and Mathematical Operations\u003c\/b\u003e\u003cbr\u003eElement-wise operations\u003cbr\u003eMathematical functions and operations\u003cbr\u003eLinear algebra with NumPy\u003cbr\u003eRandom number generation with NumPy \u003cp\u003e\u003c\/p\u003e\u003cb\u003e4 Advanced Array Operations\u003c\/b\u003e\u003cbr\u003eArray sorting and searching\u003cbr\u003eFancy indexing and Boolean indexing\u003cbr\u003eArray iteration and vectorization\u003cbr\u003eBroadcasting rules and examples \u003cp\u003e\u003c\/p\u003e\u003cb\u003e5 Working with Structured Data\u003c\/b\u003e\u003cbr\u003eStructured arrays\u003cbr\u003eStructured data manipulation\u003cbr\u003eRecord arrays \u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cb\u003e6 File Input and Output\u003c\/b\u003e\u003cbr\u003eReading and writing arrays to files\u003cbr\u003eFile formats (CSV, text, binary)\u003cbr\u003eMemory-mapping files \u003cp\u003e\u003c\/p\u003e\u003cb\u003e7 Performance and Optimization\u003c\/b\u003e\u003cbr\u003eUnderstanding array views and copies\u003cbr\u003eMemory management and optimization techniques\u003cbr\u003eVectorization and avoiding loops\u003cbr\u003eProfiling and benchmarking NumPy code \u003cp\u003e\u003c\/p\u003e\u003cb\u003e8 Integration with Other Libraries\u003c\/b\u003e\u003cbr\u003eIntegration with pandas for data analysis\u003cbr\u003eVisualization with Matplotlib and NumPy\u003cbr\u003eSciPy: advanced scientific computing with NumPy \u003cp\u003e\u003c\/p\u003e\u003cb\u003e9 NumPy Best Practices and Tips\u003c\/b\u003e\u003cbr\u003eWriting efficient and readable code\u003cbr\u003eCode organization and modularization\u003cbr\u003eDebugging and error handling\u003cbr\u003eTesting and documenting NumPy code \u003cp\u003e\u003c\/p\u003e\u003cb\u003e10 Case Studies and Examples\u003c\/b\u003e\u003cbr\u003eSolving common mathematical problems with NumPy\u003cbr\u003eImage processing and manipulation with NumPy\u003cbr\u003eData analysis examples using NumPy \u003cp\u003e\u003c\/p\u003e\u003cb\u003e11 Advanced Topics and Future Directions\u003c\/b\u003e\u003cbr\u003eNumPy extensions and alternative libraries\u003cbr\u003eGPU acceleration with NumPy\u003cbr\u003eDistributed computing with NumPy\u003cbr\u003eNumPy in machine learning and deep learning frameworks","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":45543681032343,"sku":"9798394954917","price":2183.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798394954917.webp?v=1768593412","url":"https:\/\/atlanticbooks.com\/products\/learn-all-about-numpy-9798394954917","provider":"Atlantic Books","version":"1.0","type":"link"}