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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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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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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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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

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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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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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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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Python for Data Analysis: A Basic Programming Crash Course to Learn Python Data Science Essential Tools, Pandas, and Numpy with Questions and An

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IPython Interactive Computing and Visualization Cookbook

...Basic knowledge of PythonNumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.;

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Practical Python Data Visualization

approach using libraries such as leather, NumPy, Matplotlib, and Pandas will serve as a template for business and scientific visualizations;

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Practical Python Data Visualization

approach using libraries such as leather, NumPy, Matplotlib, and Pandas will serve as a template for business and scientific visualizations. Yoüll;

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Datenanalyse mit Python

konsequent praxisbezogene Buch zeigt Ihnen anhand konkreter Fallbeispiele, wie Sie mit Python-Bibliotheken wie Pandas, NumPy und IPython eine;

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Python Programming for Data Analysis

that are foundational for effective data analysis, starting with Numpy. The book develops key Numpy concepts and discusses internal Numpy array;

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Python Programming for Data Analysis

that are foundational for effective data analysis, starting with Numpy. The book develops key Numpy concepts and discusses internal Numpy array;

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Become a Python Data Analyst

simple statistical analyses and creating meaningful data visualizations. In this book, we will cover Python libraries such as NumPy, pandas;

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Python Data Science Handbook

do you get them all-IPython, NumPy, pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar;

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Python High Performance -

them using the best profiling techniques * Write efficient numerical code in NumPy, Cython, and Pandas * Adapt your programs to run on;

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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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Python Tools For Scientists

Notebooks, and JupyterLab, as well as dozens of important Python libraries for working with data, including NumPy, matplotlib, and pandas. No prior;

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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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Introduction to Computation and Programming Using Python, third edition

or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including numpy;

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Raspberry Pi Image Processing Programming

operations in image processing. You'll then review image processing with NumPy, and Matplotlib followed by transformations, interpolation, and;

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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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Learning Ipython for Interactive Computing and Data Visualization

of Python in the Jupyter Notebook * Analyze and visualize data with pandas, NumPy, matplotlib, and seaborn * Perform highly-efficient numerical;

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Hands-on Machine Learning with Python

introduces tools such as NumPy for numerical processing, Pandas for panel data analysis, Matplotlib for visualization, Scikit-learn for machine;

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