Numpy Beginner S Guide
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Numpy Beginner S Guide
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Author : Ivan Idris
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-06-24
Numpy Beginner S Guide written by Ivan Idris and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-24 with Computers categories.
In today's world of science and technology, it's all about speed and flexibility. When it comes to scientific computing, NumPy tops the list. NumPy will give you both speed and high productivity. This book will walk you through NumPy with clear, step-by-step examples and just the right amount of theory. The book focuses on the fundamentals of NumPy, including array objects, functions, and matrices, each of them explained with practical examples. You will then learn about different NumPy modules while performing mathematical operations such as calculating the Fourier transform, finding the inverse of a matrix, and determining eigenvalues, among many others. This book is a one-stop solution to knowing the ins and outs of the vast NumPy library, empowering you to use its wide range of mathematical features to build efficient, high-speed programs.
Numpy Beginner S Guide Second Edition
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Author : Ivan Idris
language : en
Publisher: Packt Publishing Ltd
Release Date : 2013-04-25
Numpy Beginner S Guide Second Edition written by Ivan Idris and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-25 with Computers categories.
The book is written in beginner’s guide style with each aspect of NumPy demonstrated with real world examples and required screenshots.If you are a programmer, scientist, or engineer who has basic Python knowledge and would like to be able to do numerical computations with Python, this book is for you. No prior knowledge of NumPy is required.
Guide To Numpy
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Author : Travis Oliphant
language : en
Publisher: CreateSpace
Release Date : 2015-09-15
Guide To Numpy written by Travis Oliphant and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-15 with categories.
This is the second edition of Travis Oliphant's A Guide to NumPy originally published electronically in 2006. It is designed to be a reference that can be used by practitioners who are familiar with Python but want to learn more about NumPy and related tools. In this updated edition, new perspectives are shared as well as descriptions of new distributed processing tools in the ecosystem, and how Numba can be used to compile code using NumPy arrays. Travis Oliphant is the co-founder and CEO of Continuum Analytics. Continuum Analytics develops Anaconda, the leading modern open source analytics platform powered by Python. Travis, who is a passionate advocate of open source technology, has a Ph.D. from Mayo Clinic and B.S. and M.S. degrees in Mathematics and Electrical Engineering from Brigham Young University. Since 1997, he has worked extensively with Python for computational and data science. He was the primary creator of the NumPy package and founding contributor to the SciPy package. He was also a co-founder and past board member of NumFOCUS, a non-profit for reproducible and accessible science that supports the PyData stack. He also served on the board of the Python Software Foundation.
Python Data Science Handbook
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Author : Jake VanderPlas
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-11-21
Python Data Science Handbook written by Jake VanderPlas and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-21 with Computers categories.
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the 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 with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
Learning Numpy Array
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Author : Ivan Idris
language : en
Publisher: Packt Publishing Ltd
Release Date : 2014-06-13
Learning Numpy Array written by Ivan Idris and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-13 with Computers categories.
A step-by-step guide, packed with examples of practical numerical analysis that will give you a comprehensive, but concise overview of NumPy. This book is for programmers, scientists, or engineers, who have basic Python knowledge and would like to be able to do numerical computations with Python.
Introduction To Python A Beginner S Guide
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Author : Mr. Bablu Pramanik
language : en
Publisher: kitab writing publication
Release Date : 2024-02-02
Introduction To Python A Beginner S Guide written by Mr. Bablu Pramanik and has been published by kitab writing publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-02 with Antiques & Collectibles categories.
This comprehensive Python Programming guide provides a structure for navigating the rapidly evolving programming language landscape. It has been designed for aspiring students. The syllabus empowers individuals to understand basic to advanced programming concept of Python Programming along with concept of various applications.This book is useful for all the students of School levels, College levels as well as university levels.
Python For Data Analysis
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Author : Wes McKinney
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-09-25
Python For Data Analysis written by Wes McKinney and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-25 with Computers categories.
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples
Mastering Python A Comprehensive Guide For Beginners And Experts
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Author : Rick Spair
language : en
Publisher: Rick Spair
Release Date :
Mastering Python A Comprehensive Guide For Beginners And Experts written by Rick Spair and has been published by Rick Spair this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Unlock the full potential of Python programming with "Mastering Python: A Comprehensive Guide for Beginners and Experts." Whether you're a novice just starting your coding journey or an experienced developer looking to sharpen your skills, this book is your ultimate resource. Why This Book? Python is one of the most popular and versatile programming languages in the world. Its simplicity and readability make it an excellent choice for beginners, while its powerful libraries and frameworks cater to the needs of seasoned professionals. "Mastering Python" is designed to cater to both ends of the spectrum, providing a detailed, step-by-step guide that covers everything you need to know about Python.
Python Basics To Beyond A Complete Guide For Beginners And Aspiring Developers
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Author : Prasun Baarua
language : en
Publisher: Prasun Barua
Release Date :
Python Basics To Beyond A Complete Guide For Beginners And Aspiring Developers written by Prasun Baarua and has been published by Prasun Barua this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Python Basics to Beyond: A Complete Guide for Beginners and Aspiring Developers is your step-by-step journey into the world of Python programming. Designed for absolute beginners, this book gradually builds your understanding through 25 comprehensive chapters — from writing your first line of code to mastering real-time data processing and professional coding practices. You'll learn: - Core Python syntax and data structures - Functions, loops, conditionals, and error handling - File handling, object-oriented programming, and modules - Working with libraries like matplotlib, requests, and socket - Real-world applications including data visualization, web scraping, and real-time systems - Advanced techniques like decorators, generators, context managers, testing, and type hinting Packed with hands-on examples, best practices, and clear explanations, this book empowers you to write clean, efficient, and maintainable Python code—ready for real-world use or your next technical interview. Whether you're learning to code, switching careers, or enhancing your skills, this book is your complete Python foundation.
The Hitchhiker S Guide To Python
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Author : Kenneth Reitz
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-08-30
The Hitchhiker S Guide To Python written by Kenneth Reitz and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-30 with Computers categories.
The Hitchhiker's Guide to Python takes the journeyman Pythonista to true expertise. More than any other language, Python was created with the philosophy of simplicity and parsimony. Now 25 years old, Python has become the primary or secondary language (after SQL) for many business users. With popularity comes diversityâ??and possibly dilution. This guide, collaboratively written by over a hundred members of the Python community, describes best practices currently used by package and application developers. Unlike other books for this audience, The Hitchhikerâ??s Guide is light on reusable code and heavier on design philosophy, directing the reader to excellent sources that already exist.