Handbook Of Python


Handbook Of Python
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Python Data Science Handbook


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



Python Data Science Handbook


Python Data Science Handbook
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Author : Jake VanderPlas
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-12-06

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 2022-12-06 with Computers categories.


Python is a first-class tool for many researchers, primarily 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 new edition of 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 the second edition of 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: IPython and Jupyter provide computational environments for scientists using Python NumPy includes the ndarray for efficient storage and manipulation of dense data arrays Pandas contains the DataFrame for efficient storage and manipulation of labeled/columnar data Matplotlib includes capabilities for a flexible range of data visualizations Scikit-learn helps you build efficient and clean Python implementations of the most important and established machine learning algorithms



Handbook Of Computer Programming With Python


Handbook Of Computer Programming With Python
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Author : Dimitrios Xanthidis
language : en
Publisher: CRC Press
Release Date : 2022-12-12

Handbook Of Computer Programming With Python written by Dimitrios Xanthidis and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-12 with Computers categories.


This handbook provides a hands-on experience based on the underlying topics, and assists students and faculty members in developing their algorithmic thought process and programs for given computational problems. It can also be used by professionals who possess the necessary theoretical and computational thinking background but are presently making their transition to Python. Key Features: • Discusses concepts such as basic programming principles, OOP principles, database programming, GUI programming, application development, data analytics and visualization, statistical analysis, virtual reality, data structures and algorithms, machine learning, and deep learning. • Provides the code and the output for all the concepts discussed. • Includes a case study at the end of each chapter. This handbook will benefit students of computer science, information systems, and information technology, or anyone who is involved in computer programming (entry-to-intermediate level), data analytics, HCI-GUI, and related disciplines.



Handbook Of Python


Handbook Of Python
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Author : S. Ramprakash
language : en
Publisher:
Release Date : 2021-09-03

Handbook Of Python written by S. Ramprakash and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-03 with Computers categories.


This book depicts the basics of python which is very useful for beginners and those who are all willing to learn and coding in python. Nowadays python plays a major role in the industrial and programming environment, and most industries need python programmers to develop many applications like web development, mobile app development, etc., This book definitely helps for the age group of 10 to anyone., Easy examples are given in each and every chapter that is very easy to understand for user needs.



Handbook Of Python


Handbook Of Python
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Author : Ramprakash S.
language : en
Publisher: Pencil
Release Date : 2021-07-15

Handbook Of Python written by Ramprakash S. and has been published by Pencil this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-15 with Computers categories.


This book depicts the basics of python which is very useful for beginners and those who are all willing to learn and coding in python. Nowadays python plays a major role in the industrial and programming environment, and most industries need python programmers to develop many applications like web development, mobile app development, etc., This book definitely helps for the age group of 10 to anyone., Easy examples are given in each and every chapter that is very easy to understand for user needs.



Python Data Science Handbook


Python Data Science Handbook
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Author : Jake VanderPlas
language : en
Publisher: O'Reilly Media
Release Date : 2023-01-17

Python Data Science Handbook written by Jake VanderPlas and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-17 with categories.


Python is a first-class tool for many researchers, primarily 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 new edition of 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 the second edition of 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: IPython and Jupyter provide computational environments for scientists using Python NumPy includes the ndarray for efficient storage and manipulation of dense data arrays Pandas contains the DataFrame for efficient storage and manipulation of labeled/columnar data Matplotlib includes capabilities for a flexible range of data visualizations Scikit-learn helps you build efficient and clean Python implementations of the most important and established machine learning algorithms



Handbook Of Python


Handbook Of Python
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Author : Ramprakash S
language : en
Publisher:
Release Date : 2021-05-17

Handbook Of Python written by Ramprakash S and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-17 with Computers categories.


This book depicts the basics of python which is very useful for beginners and those who are all willing to learn and coding in python. Nowadays python plays a major role in the industrial and programming environment, and most industries need python programmers to develop many applications like web development, mobile app development, etc., This book definitely helps for the age group of 10 to anyone., Easy examples are given in each and every chapter that is very easy to understand for user needs.



Python


Python
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Author : April Madden
language : en
Publisher:
Release Date : 2020

Python written by April Madden and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.




Python Programming Fundamentals


Python Programming Fundamentals
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Author : Nischay kumar Hegde
language : en
Publisher: Educreation Publishing
Release Date :

Python Programming Fundamentals written by Nischay kumar Hegde and has been published by Educreation Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.


This book has been written with two categories of readers in mind. This book can be manual for those who would want to excel in Python programming as well as for those who are new to Python programming and would want to learn. I hope that you will find what follows both instructive and at times entertaining too. The book is designed for programmers who already have some experience of using a modern high level procedural programming language like C/ C++. The book concentrates on the things that are essential to understand Python programming. Those who already know C will find the contents and example code snippets a bit interested. The syntax and coding constructs of Python programming paradigm is nearer to C but not exact. From my point of view, what matters for a programmer is "Logic" and "Syntax". It has been inevitable for programmers to learn and practice emerging programming paradigms. This is the first edition of the textbook hence a lot of brainstorming was required in order to properly structure each and every chapter. Appendix A addresses exercise questions of "Python for Everybody" by Charles R Severance. Appendix B is about Python solution to few commonly found programming problems. All the programs presented in the textbook are tested using PyCharm IDE. I hope the book meets the requirements of student fraternity and remains reachable throughout its multiple entry of editions. Also, PyCharm IDE installation guidelines included in the textbook.



A Beginners Guide To Python 3 Programming


A Beginners Guide To Python 3 Programming
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Author : John Hunt
language : en
Publisher: Springer Nature
Release Date : 2023-10-01

A Beginners Guide To Python 3 Programming written by John Hunt and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-01 with Computers categories.


This textbook is aimed at readers who have little or no knowledge of computer programming but want to learn to program in Python. It starts from the very basics including how to install your Python environment, how to write a very simple program and run it, what a variable is, what an if statement is, how iteration works using for and while loops as well as important key concepts such as functions, classes and modules. Each subject area is prefaced with an introductory chapter, before continuing with how these ideas work in Python. The second edition has been completely updated for the latest versions of Python including Python 3.11 and Python 3.12. New chapters have been added such as those that consider where and how Python is used, the use of Frozensets, how data can be sorted, enumerated types in Python, structural pattern matching and how (and why) Python Virtual Environments are configured. A new chapter ‘The Python Bites back’ is introduced to present the fourteen most common / biggest gotchas for someone new to Python. Other sections have been updated with new features such as Exception Groups, string operations and dictionary operations. A Beginners Guide to Python 3 Programming second Edition provides all you need to know about Python, with numerous examples provided throughout including several larger worked case studies illustrating the ideas presented in the previous chapters.