Python Handbook
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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
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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
Python Machine Learning For Beginners
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Author : Finn Sanders
language : en
Publisher: Roland Bind
Release Date : 2019-05-22
Python Machine Learning For Beginners written by Finn Sanders and has been published by Roland Bind this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-22 with Computers categories.
Imagine a world where you can make a computer program learn for itself? What if it could recognize who is in a picture or the exact websites that you want to look for when you type it into the program? What if you were able to create any kind of program that you wanted, even as a beginner programmer, without all of the convoluted codes and other information that makes your head spin? This is actually all possible. The programs that were mentioned before are all a part of machine learning. This is a breakthrough in the world of information technology, which allows the computer to learn how to behave, rather than asking the programmer to think of every single instance that may show up with their user ahead of time. it is taking over the world, and you may be using it now, without even realizing it. If you have used a search engine, worked with photo recognition, or done speech recognition devices on your phone, then you have worked with machine learning. And if you combine it with the Python programming language, it is faster, more powerful, and easier (even for beginners) to create your own programs today. Python is considered the ultimate coding language for beginners, but once you start to use it, you will never be able to tell. Many of the best programs out there use this language behind them, and if you are a beginner who is ready to learn, this is a great place to start. If you have a program in mind, or you just want to be able to get some programming knowledge and learn more about the power that comes behind it, then this is the guidebook for you. ★★Some of the topics that we will discuss include★★ ♦ The Fundamentals of Machine Learning, Deep learning, And Neural Networks ♦ How To Set Up Your Environment And Make Sure That Python, TensorFlow And Scikit-Learn Work Well For You ♦ How To Master Neural Network Implementation Using Different Libraries ♦ How Random Forest Algorithms Are Able To Help Out With Machine Learning ♦ How To Uncover Hidden Patterns And Structures With Clustering ♦ How Recurrent Neural Networks Work And When To Use ♦ The Importance Of Linear Classifiers And Why They Need To Be Used In Machine Learning ♦ And Much More! This guidebook is going to provide you with the information you need to get started with Python Machine Learning. If you have an idea for a great program, but you don't have the technical knowledge to make it happen, then this guidebook will help you get started. Machine learning has the capabilities, and Python has the ease, to help you, even as a beginner, create any product that you would like. If you want to learn more about how to make the best programs with Python Machine learning, buy the book today!
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.
Python Handbook For Beginners
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Author : Roman Gurbanov
language : ru
Publisher: Litres
Release Date : 2021-05-18
Python Handbook For Beginners written by Roman Gurbanov and has been published by Litres this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-18 with Technology & Engineering categories.
This book will provide you with basic knowledge and skills in Python programming, covering topics such as variables, numbers, strings, booleans, conditional statements, loops, lists, dictionaries, functions, classes and objects, modules, and packages.Every chapter is wrapped up with a small test. Detailed explanations and practical examples accompany every topic to ensure you acquire an essential Python coding skill upon completing the book.This book is excellent for everyone who wants to learn to code and is just starting. Other great books are available for those who have already mastered basic Python programming skills and looking to improve them.
Python Recipes Handbook
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Author : Joey Bernard
language : en
Publisher: Apress
Release Date : 2016-11-08
Python Recipes Handbook written by Joey Bernard and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-08 with Computers categories.
Learn the code to write algorithms, numerical computations, data analysis and much more using the Python language: look up and re-use the recipes for your own Python coding. This book is your handy code cookbook reference. Whether you're a maker, game developer, cloud computing programmer and more, this is a must-have reference for your library. Python Recipes Handbook gives you the most common and contemporary code snippets, using pandas (Python Data Analysis Library), NumPy, and other numerical Python packages. What You'll Learn Code with the pandas (Python Data Analysis Library) Work with the various Python algorithms useful for today's big data analytics and cloud applications Use NumPy and other numerical Python packages and code for doing various kinds of analysis Discover Python's new popular modules, packages, extensions and templates library Who This Book Is For This handy reference is for those with some experience with Python.
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
Python Programming Data Analysis A Beginner S Handbook
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Author : Uma V
language : en
Publisher:
Release Date : 2019-10-14
Python Programming Data Analysis A Beginner S Handbook written by Uma V and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-14 with categories.
This handbook will help you explore, harness, and gain appreciation of the competencies and features of Python. This book contains several examples that would enable you to learn Python Programming swiftly and commendably.Python is a high-level, interpreted and general-purpose dynamic programming language. It uses concise and easy-to-learn syntax which enables programmers to develop more complex programs in a much shorter time. This book provides all essential programming concepts and information you need to start developing your own Python program. The book provides a comprehensive walk-through of Python programming in a clear, straightforward manner. Important concepts are introduced with relevant examples, explanations and comments. This book also provides a gentle introduction to the Pyplot, Numpy and Pandas modules. This will help you start your Data Analyst career.
Hands On Data Analysis With Pandas
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Author : Stefanie Molin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-04-29
Hands On Data Analysis With Pandas written by Stefanie Molin 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 2021-04-29 with Computers categories.
Get to grips with pandas by working with real datasets and master data discovery, data manipulation, data preparation, and handling data for analytical tasks Key Features Perform efficient data analysis and manipulation tasks using pandas 1.x Apply pandas to different real-world domains with the help of step-by-step examples Make the most of pandas as an effective data exploration tool Book DescriptionExtracting valuable business insights is no longer a ‘nice-to-have’, but an essential skill for anyone who handles data in their enterprise. Hands-On Data Analysis with Pandas is here to help beginners and those who are migrating their skills into data science get up to speed in no time. This book will show you how to analyze your data, get started with machine learning, and work effectively with the Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will learn how to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. This updated edition will equip you with the skills you need to use pandas 1.x to efficiently perform various data manipulation tasks, reliably reproduce analyses, and visualize your data for effective decision making – valuable knowledge that can be applied across multiple domains.What you will learn Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Solve common data representation and analysis problems using pandas Build Python scripts, modules, and packages for reusable analysis code Who this book is for This book is for data science beginners, data analysts, and Python developers who want to explore each stage of data analysis and scientific computing using a wide range of datasets. Data scientists looking to implement pandas in their machine learning workflow will also find plenty of valuable know-how as they progress. You’ll find it easier to follow along with this book if you have a working knowledge of the Python programming language, but a Python crash-course tutorial is provided in the code bundle for anyone who needs a refresher.
Machine Learning Handbook
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Author : Karen Mazidi
language : en
Publisher:
Release Date : 2020-12-03
Machine Learning Handbook written by Karen Mazidi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-03 with categories.
Machine Learning is a valuable skill for today's computing professionals. This handbook provides the guidance you need in building your skill set in this fast-growing field. R and Python programming are introduced in tutorials, and code samples are given throughout the book. In addition, all code samples are available in a GitHub repo, and a YouTube channel features explanatory video tutorials.