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- Mastering Numerical Computing with NumPy. Master scientific computing and perform complex operations with ease
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Mastering Numerical Computing with NumPy. Master scientific computing and perform complex operations with ease
Umit Mert Cakmak, Mert Cuhadaroglu
Ebook
NumPy is one of the most important scientific computing libraries available for Python. Mastering Numerical Computing with NumPy teaches you how to achieve expert level competency to perform complex operations, with in-depth coverage of advanced concepts.
Beginning with NumPy's arrays and functions, you will familiarize yourself with linear algebra concepts to perform vector and matrix math operations. You will thoroughly understand and practice data processing, exploratory data analysis (EDA), and predictive modeling. You will then move on to working on practical examples which will teach you how to use NumPy statistics in order to explore US housing data and develop a predictive model using simple and multiple linear regression techniques. Once you have got to grips with the basics, you will explore unsupervised learning and clustering algorithms, followed by understanding how to write better NumPy code while keeping advanced considerations in mind. The book also demonstrates the use of different high-performance numerical computing libraries and their relationship with NumPy. You will study how to benchmark the performance of different configurations and choose the best for your system.
By the end of this book, you will have become an expert in handling and performing complex data manipulations.
Beginning with NumPy's arrays and functions, you will familiarize yourself with linear algebra concepts to perform vector and matrix math operations. You will thoroughly understand and practice data processing, exploratory data analysis (EDA), and predictive modeling. You will then move on to working on practical examples which will teach you how to use NumPy statistics in order to explore US housing data and develop a predictive model using simple and multiple linear regression techniques. Once you have got to grips with the basics, you will explore unsupervised learning and clustering algorithms, followed by understanding how to write better NumPy code while keeping advanced considerations in mind. The book also demonstrates the use of different high-performance numerical computing libraries and their relationship with NumPy. You will study how to benchmark the performance of different configurations and choose the best for your system.
By the end of this book, you will have become an expert in handling and performing complex data manipulations.
- 1. Working with NumPy Arrays
- 2. Linear Algebra with NumPy
- 3. Explanatory Data Analysis of US Housing Data withNumPy Statistics
- 4. Predicting Housing Prices Using Linear Regression
- 5. Clustering Clients of Wholesale Distributor Using NumPy
- 6. Python ML Squad: NumPy, SciPy, Pandas, Scikit-Learn
- 7. Advanced Numpy
- 8. Overview of High-Performance Numerical Computing Libraries
- 9. Performance Benchmarks
- Title: Mastering Numerical Computing with NumPy. Master scientific computing and perform complex operations with ease
- Author: Umit Mert Cakmak, Mert Cuhadaroglu
- Original title: Mastering Numerical Computing with NumPy. Master scientific computing and perform complex operations with ease
- ISBN: 9781788996846, 9781788996846
- Date of issue: 2018-06-28
- Format: Ebook
- Item ID: e_14y7
- Publisher: Packt Publishing