{"product_id":"9781484205532","title":"Numerical Python: A Practical Techniques Approach for Industry","description":"\u003cp\u003e\u003cem\u003e\u003c\/em\u003eLeverage the numerical and mathematical modules in Python and its Standard Library as well as popular open source numerical Python packages like NumPy, SciPy, SymPy, Matplotlib, Pandas, and more to numerically compute solutions and mathematically model applications in a number of areas like big data, cloud computing, financial engineering, business management and more. \u003c\/p\u003e\u003cp\u003eAfter reading and using \u003cem\u003eNumerical Python\u003c\/em\u003e, you will have seen examples and case studies from many areas of computing, and gained familiarity with basic computing techniques such as array-based and symbolic computing, all-around practical skills such as visualisation and numerical file I\/O, general computational methods such as equation solving, optimization, interpolation and integration, and domain-specific computational problems, such as differential equation solving, data analysis, statistical modeling and machine learning. \u003c\/p\u003e\u003cp\u003ePython has gained widespread popularity as a computing language: It is nowadays employed for computing by practitioners in such diverse fields as for example scientific research, engineering, finance, and data analytics. One reason for the popularity of Python is its high-level and easy-to-work-with syntax, which enables the rapid development and exploratory computing that is required in modern computational work.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eWhat you’ll learn\u003cul\u003e\n\u003cli\u003eHow to work with vectors and matrices using NumPy\u003c\/li\u003e\n\u003cli\u003eHow to work with symbolic computing using SymPy\u003c\/li\u003e\n\u003cli\u003eHow to plot and visualize data with Matplotlib\u003c\/li\u003e\n\u003cli\u003eHow to solve linear and nonlinear equations with SymPy and SciPy\u003c\/li\u003e\n\u003cli\u003eHow to solve solve optimization, interpolation, and integration problems using SciPy\u003c\/li\u003e\n\u003cli\u003eHow to solve ordinary and partial differential equations with SciPy and FEniCS\u003c\/li\u003e\n\u003cli\u003eHow to perform data analysis tasks and solve statistical problems with Pandas and SciPy\u003c\/li\u003e\n\u003cli\u003eHow to work with statistical modeling and machine learning with statsmodels and scikit-learn\u003c\/li\u003e\n\u003cli\u003eHow to handle file I\/O using HDF5 and other common file formats for numerical data\u003c\/li\u003e\n\u003cli\u003eHow to optimize Python code using Numba and Cython\u003c\/li\u003e\n\u003c\/ul\u003eWho this book is for      \u003cp\u003e     This practical book is for those practicing industry coders, data scientists, engineers, financial engineers, scientists, business managers and more who use or plan to use numerical Python techniques and methods.      \u003c\/p\u003e     Table of Contents1. Introduction to computing with Python\u003cp\u003e2. Vectors, matrices and multidimensional arrays \u003c\/p\u003e\u003cp\u003e3. Symbolic computing \u003c\/p\u003e\u003cp\u003e4. Plotting and visualization \u003c\/p\u003e\u003cp\u003e5. Equation solving \u003c\/p\u003e\u003cp\u003e6. Optimization \u003c\/p\u003e\u003cp\u003e7. Interpolation \u003c\/p\u003e\u003cp\u003e8. Integration \u003c\/p\u003e\u003cp\u003e9. Ordinary differential equations \u003c\/p\u003e\u003cp\u003e10. Sparse matrices and graphs \u003c\/p\u003e\u003cp\u003e11. Partial differential equations \u003c\/p\u003e\u003cp\u003e12. Data processing and analysis \u003c\/p\u003e\u003cp\u003e13. Statistics \u003c\/p\u003e\u003cp\u003e14. Statistical modeling \u003c\/p\u003e\u003cp\u003e15. Machine learning \u003c\/p\u003e\u003cp\u003e16. Bayesian statistics\u003c\/p\u003e\u003cp\u003e17. Signal processing\u003c\/p\u003e\u003cp\u003e18. Data input and output \u003c\/p\u003e\u003cp\u003e19. Code optimization\u003c\/p\u003e\u003cp\u003e20. Appendix: Installation\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e","brand":"Apress","offers":[{"title":"Default Title","offer_id":47125828370672,"sku":"9781484205532","price":41.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781484205532_p0.jpg?v=1763631928","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781484205532","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}