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SciPy and NumPy

SciPy is open-source software for mathematics, science, and engineering. The SciPy library is built to work with NumPy arrays, and provides;

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SciPy Recipes

* Covers a wide range of data science tasks using SciPy, NumPy, pandas, and matplotlib * Effective recipes on advanced scientific computations;

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Become a Python Data Analyst

analysis techniques and detailed code with scikit-learn and SciPy Book DescriptionPython is one of the most common and popular languages preferred;

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Numerical Python

like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to;

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Apache Spark for Data Science Cookbook

MLLib, SciPy, NumPy, and Pandas to gain insights from your data Who This Book Is For This book is for novice and intermediate level data;

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Learning SciPy for Numerical and Scientific Computing -

About This Book Use different modules and routines from the SciPy library quickly and efficiently Create vectors and matrices and learn;

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Data Science at Scale with Python and Dask

and scientists with experience using Python. Knowledge of the PyData stack (Pandas, NumPy, and Scikit-learn) will be helpful. No experience;

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NumPy Essentials

Boost your scientific and analytic capabilities in no time at all by discovering how to build real-world applications with NumPy About;

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Introduction to Computational Models with Python

performance of numerical computing, such as the Numpy and Scipy modules. The Python source code and data files are available on the author's website;

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Introduction to Computational Models with Python

performance of numerical computing, such as the Numpy and Scipy modules. The Python source code and data files are available on the author's website;

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Learning Scientific Programming with Python

moving onto the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualisation, this textbook also discusses the use;

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Mastering Python Scientific Computing

management * Performing numerical computing using NumPy and SciPy * Concepts and programming for symbolic computing using SymPy * Using the;

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Python Feature Engineering Cookbook

Extract accurate information from data to train and improve machine learning models using NumPy, SciPy, pandas, and scikit-learn libraries;

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Mastering Numerical Computing with NumPy

Enhance the power of NumPy and start boosting your scientific computing capabilities Key Features Grasp all aspects of numerical computing;

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NumPy Beginner's Guide ()

The book is written in beginner's guide style with each aspect of NumPy demonstrated with real world examples and required screenshots. If;

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Think Complexity

with a solution for each exercise. With this book, you will: Work with graphs and graph algorithms, NumPy arrays and SciPy methods, basic;

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Learning Scientific Programming with Python

moving on to the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualization, this textbook also discusses the use;

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NumPy Cookbook

Written in Cookbook style, the code examples will take your Numpy skills to the next level. This book will take Python developers with;

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A Python Data Analyst s Toolkit

terminology, and one chapter each on NumPy(the scientific computation library), Pandas (the data wrangling library) and visualization libraries like;

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Think Complexity 2e

easy-to-understand explanations. In this updated second edition, you will: Work with NumPy arrays and SciPy methods, including basic;

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Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

library packages like NumPy, Pandas, SciPy and Matplotlib are dealt in an exhaustive manner along with relevant examples. Machine Learning along;

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Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

library packages like NumPy, Pandas, SciPy and Matplotlib are dealt in an exhaustive manner along with relevant examples. Machine Learning along;

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Python for Finance Cookbook

Solve common and not-so-common financial problems using Python libraries such as NumPy, SciPy, and pandas Key Features Use powerful Python;

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Hands-On Data Analysis with NumPy and pandas

, data analysis, and machine learning. Hands-On Data Analysis with NumPy and Pandas starts by guiding you in setting up the right environment for;

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Learning NumPy Array

of NumPy. This book is for programmers, scientists, or engineers, who have basic Python knowledge and would like to be able to do numerical;

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Python for Data Mining Quick Syntax Reference

objects, lists, functions, modules, and error handling. The second part covers Python's most important data mining packages: NumPy and SciPy for;

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Python For Data Science For Dummies

in data analysis * Walks you through some of the most widely-used libraries, including NumPy, SciPy, BeautifulSoup, Pandas, and MatPlobLib Whether;

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