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Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
Numerical Python, Second Edition, presents many brand-new case study examples of applications in data science and statistics using Python
Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
Item #: 18317338

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

Item #: 18317338

MYR 462

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Numerical Python, Second Edition, presents many brand-new case study examples of applications in data science and statistics using Python
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What Stands Out

Comprehensive Learning
This edition provides an extensive overview of essential libraries like NumPy, SciPy, and Matplotlib, ideal for anyone looking to deepen their understanding of scientific computing and data science.
Practical Applications
Focuses on real-world applications and scenarios, enabling users to apply learned techniques directly to data science problems, enhancing practical skills and problem-solving abilities.
Updated Content
Includes the latest advancements and best practices in data science and scientific computing, ensuring readers are equipped with current knowledge to stay competitive in the field.

Product Details

Shop Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib online at a best price in Malaysia. 1484242459
  • Fully revised edition covering numerical and mathematical modules in Python and popular open source packages like NumPy, SciPy, FiPy, and matplotlib
  • Demonstrates numerically computing solutions and modeling applications in big data, cloud computing, financial engineering, and business management
  • Presents new case study examples of applications in data science, statistics, and extensions to previous examples
  • Covers array-based and symbolic computing, visualization, numerical file I/O, equation solving, optimization, interpolation, integration, and domain-specific computational problems
  • Learn to work with vectors, matrices, plot and visualize data, perform data analysis tasks, review statistical modeling, and optimize Python code
  • Ideal for developers seeking to understand how to use Python and its ecosystem for numerical computing
Package Weight3.0500 Pound

Who Should Buy?

Suitable For
  • Data Scientists

    Ideal for data scientists needing a comprehensive resource on Python libraries for data manipulation and analysis.

  • Researchers

    Helpful for researchers in academia looking to incorporate Python for scientific computing and statistical modeling.

  • Students

    Great for students learning numerical methods, data analysis, and programming with practical examples and applications.

Not Suitable For
  • Beginners

    Not suitable for complete programming beginners unfamiliar with Python or programming concepts, as it requires prior knowledge.

Product Description

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

About This Item

Unlock the power of scientific computing and data science with Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy, and Matplotlib. This 2nd edition is packed with everything you need to master Python for numerical analysis, data analysis, and more. If you're a data enthusiast, scientist, or researcher, this book is a must-have. Dive deep into the world of Python and learn how to leverage its libraries and tools for scientific computing and data science applications.

With Numerical Python, you'll discover the power of Numpy, SciPy, and Matplotlib to analyze, visualize, and model data. The book covers various topics such as numerical methods in Python, data analysis, data exploration, and statistical analysis. You'll also learn about Python's applications in areas like mathematical modeling, simulation, and data mining. But it doesn't stop there.

Numerical Python also delves into advanced concepts like machine learning, big data analytics, and predictive analytics in Python. You'll discover how to use Python's data science frameworks and libraries to tackle complex problems and make accurate predictions. With clear explanations, practical examples, and hands-on exercises, Numerical Python is designed to help you grasp the concepts and apply them in real-world scenarios. Whether you're a beginner or an experienced programmer, this book provides a comprehensive guide to Python for scientific computing and data science. Don't miss out on the opportunity to enhance your skills and take your data analysis to the next level.

Get your copy of Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy, and Matplotlib now.

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Intelligence & Semantics Editorial Review

The Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib 2nd ed. Edition offers a comprehensive guide to scientific computing and data science applications with Python. The book covers key libraries like Numpy, Scipy, and Matplotlib, and is organized in a logical, easy-to-follow manner. It is a great tool for those looking to build python skills in data science and scientific computing.

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Pros

  • Comprehensive guide to scientific computing and data science applications
  • Covers key libraries like Numpy, Scipy, and Matplotlib
  • Organized in a logical, easy-to-follow manner

Cons

  • Some customers received a product with low-quality paper and poor print material

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