Description: About this productProduct IdentifiersPublisherApress L. P.ISBN-101484242459ISBN-139781484242452eBay Product ID (ePID)11038600905Product Key FeaturesNumber of PagesXxiii, 700 PagesPublication NameNumerical Python : Scientific Computing and Data Science Applications with Numpy, SciPy and MatplotlibLanguageEnglishPublication Year2018SubjectMathematical & Statistical Software, Databases / General, Programming Languages / PythonTypeTextbookSubject AreaComputersAuthorRobert JohanssonFormatTrade PaperbackDimensionsItem Weight47.8 OzItem Length10 inItem Width7 inAdditional Product FeaturesEdition Number2Reviews"I would recommend the textbook to those interested in learning the Python ecosystem for numerical and scientific work. I enjoyed reading the style of examples where a few lines of code are explained at a time. This style feels like I'm getting a personalized lecture from Johansson while reading the book. It will be a very nice resource on the desk of any graduate student working with Python." (Charles Jekel, SIAM Review, Vol. 62 (2), 2020)CLASSIFICATION_METADATA{"IsNonfiction":["No"],"IsOther":["Yes"],"IsAdult":["No"],"MuzeFormatDesc":["Trade Paperback"],"IsChildren":["No"],"Genre":["COMPUTERS"],"Topic":["Databases / General","Programming Languages / Python","Mathematical & Statistical Software"],"IsTextBook":["No"],"IsFiction":["No"]}Number of Volumes1 vol.IllustratedYesTable Of Content1. Introduction to Computing with Python.- 2. Vectors, Matrices and Multidimensional Arrays.- 3. Symbolic Computing.- 4. Plotting and Visualization.- 5. Equation Solving.- 6. Optimization.- 7. Interpolation.- 8. Integration.- 9. Ordinary Differential Equations.- 10. Sparse Matrices and Graphs.- 11. Partial Differential Equations.- 12. Data Processing and Analysis.- 13. Statistics.- 14. Statistical Modeling.- 15. Machine Learning.- 16. Bayesian Statistics.- 17. Signal and Image Processing.- 18. Data Input and Output.- 19. Code Optimization.SynopsisLeverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute solutions and mathematically model applications in big data, cloud computing, financial engineering, business management and more. Numerical Python, Second Edition , presents many brand-new case study examples of applications in data science and statistics using Python, along with extensions to many previous examples. Each of these demonstrates the power of Python for rapid development and exploratory computing due to its simple and high-level syntax and multiple options for data analysis. After reading this book, readers will be familiar with many computing techniques including array-based and symbolic computing, visualization and numerical file I/O, equation solving, optimization, interpolation and integration, and domain-specific computational problems, such as differential equation solving, data analysis, statistical modeling and machine learning. W hat You'll Learn Work with vectors and matrices using NumPy Plot and visualize data with Matplotlib Perform data analysis tasks with Pandas and SciPy Review statistical modeling and machine learning with statsmodels and scikit-learn Optimize Python code using Numba and Cython Who This Book Is For Developers who want to understand how to use Python and its related ecosystem for numerical computing.LC Classification NumberQA76.73.P98ebay_catalog_id4Copyright Date2019
Price: 55.9 USD
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Number of Pages: Xxiii, 700 Pages
Language: English
Publication Name: Numerical Python : Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
Publisher: Apress L. P.
Subject: Mathematical & Statistical Software, Databases / General, Programming Languages / Python
Publication Year: 2018
Item Weight: 47.8 Oz
Type: Textbook
Subject Area: Computers
Author: Robert Johansson
Item Length: 10 in
Item Width: 7 in
Format: Trade Paperback
