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Top 5 Books To Learn Python in 2021 | Best Books For Python | Good Books to Learn Python | IhtreekTech

all those of you who do not know what Python is, it is a general-purpose programming language with features such as simple Syntax Dynamic, semantics i
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 Top 5 Books To Learn Python in 2021

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Why Python?

For all those of you who do not know what Python is, it is a general-purpose programming language with features such as simple Syntax Dynamic, semantics interpretation and much more which can be used to develop web applications, machine learning algorithms, and so on. So the question stands why choose python in simple words, python is growing rapidly amplifying its opportunities for everybody. So we sent predictions also suggests that by the has a good future ahead. So why wouldn't you want to learn? 

Learning Python by Mark Lutz

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About this Book
This book provides an introduction to the Python programming language. It's intended to bring you quickly up to speed on the fundamentals of the core Python language. After reading this book, you will know enough about Python to apply it in whatever application domains you choose to explore. This edition covers both Python 3.0 and Python 2.6. Python 3.0 is largely the same language, but it runs almost no code written for prior releases.

This split presents a bit of a dilemma for both programmers and book authors. While newcomers can focus on Python 3, anyone who must use code written in the past needs to keep one foot in the Python 2 world today. If you're concerned about the future of 3.0, this book will help you migrate to a better way of doing things in the future. If you want to know more about how to use the new system, you'll find that this book addresses some of your concerns.

The last four of these new chapters are collected in a new final part of the book, "Advanced\n Topics" The details of Unicode and binary data strings, for example, have been moved to this final part because most programmers use simple ASCII strings. This edition also incorporates some reorganization for clarity, with five prior chapters split into two each here. Some topics may require nonlinear jumps and random lookups, but linear reading is the most likely way to go. If you need to be able to use file objects to run code, you must have access to them; a linear reading of n is fine, but some topics might require non-linear jumps or random looks.
Note: This site doesn’t own any file. All credits goes to the specific publishers, specific Writers of the book. IhtreekTech is just an Index of books available online.


Python Programming an introduction to computer science by John Zelle

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About this Book
This book is very good on some measures -- covers a lot of concepts and is written clearly in layman's terms. What kept me from giving it 5 stars is on other measures, it is simply maddening. Frequently, explanations seem to drop off mid-thought, leaving you wanting for more, or going elsewhere for explanations. The surprising problem with the book is the number of typos! For example, "p = Point (50,60)...creates a Point located at (100,120)." Really? A typo in the code of a college textbook on coding? What happened to the proofreaders?

For students trying to use the book to learn Python, its shortcomings add to the time it takes to try to assimilate the concepts. You spin you wheels, then realize the book is off. The book should come with a companion that explains some of the concepts in more depth. And some coding students should review the book and fix the typos. 

This book is suitable for use in a university-level first course in computing (CS1), as well as the increasingly popular course known as CS0. It is difficult for many students to master basic concepts in computer science and programming. A large portion of the confusion can be blamed on the complexity of the tools and materials that are traditionally used to teach CS1 and CS2. This textbook was written with a single overarching goal: to present the core concepts of computer science as simply as possible without being simplistic.
Note: This site doesn’t own any file. All credits goes to the specific publishers, specific Writers of the book. IhtreekTech is just an Index of books available online.

PYTHON CRASH COURSE by Erric Matthes

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Who Is This Book For?
The goal of this book is to bring you up to speed with Python as quickly as possible so you can build programs that work—games, data visualizations, and web applications—while developing a foundation in programming that
will serve you well for the rest of your life. Python Crash Course is written for people of any age who have never programmed in Python before or have never programmed at all. If you want to learn the basics of programming quickly so you can focus on interesting projects, and you like to test your
understanding of new concepts by solving meaningful problems, this book is for you. Python Crash Course is also perfect for middle school and high school teachers who want to offer their students a project-based introduction to programming.

What Can You Expect to Learn?
The purpose of this book is to make you a good programmer in general and a good Python programmer in particular. You’ll learn efficiently and adopt good habits as I provide you with a solid foundation in general programming concepts. After working your way through Python Crash Course,
you should be ready to move on to more advanced Python techniques, and your next programming language will be even easier to grasp. In the first part of this book you’ll learn basic programming concepts you need to know to write Python programs. These concepts are the same as those you’d learn when starting out in almost any programming language. You’ll learn about different kinds of data and the ways you can store data in lists and dictionaries within your programs. You’ll learn to build collections of data and work through those collections in efficient ways. You’ll learn to use while and if loops to test for certain conditions so you can run specific sections of code while those conditions are true and run other sections when they’re not—a technique that greatly helps to automate processes
Note: This site doesn’t own any file. All credits goes to the specific publishers, specific Writers of the book. IhtreekTech is just an Index of books available online.

Think Python by Allen B. Downey

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About this Book

In 1999, I was getting frustrated teaching an introductory programming class in Java. I decided to write my own book: How to Think Like a Computer Scientist. Jeff Elkner, a high school teacher in Virginia, adopted my book and translated it into Python. He sent me a copy of his translation, and I had the unusual experience of learning Python by reading my book. In 2003 I started teaching at Olin College and I got to teach Python for the first time.
In 1999, I was getting frustrated teaching an introductory programming class in Java and decided to write a book. Jeff Elkner, a high school teacher in Virginia, adopted my book and translated it into Python. He sent me a copy of his translation, and I had the unusual experience of learning Python by reading my own book. The contrast with Java was striking. Students struggled less, learned more, worked on more interesting projects, and had a lot more fun.

The second edition of "Think Python" has a new section on debugging and more exercises. The book and all supporting code have been updated to Python, which is easier to install and more powerful. Allen B. Downey: I hope you enjoy working with this book, and that it helps you learn to program and think like a computer scientist.

This book is the result of a collaboration between Jeff Elkner and Chris Meyers, who translated my Java book into Python. The Free Software Foundation helped develop the free software license used for the project. Thanks to all the students who worked with earlier versions of this book and all the contributors who sent in corrections and suggestions.
Note: This site doesn’t own any file. All credits goes to the specific publishers, specific Writers of the book. IhtreekTech is just an Index of books available online.



Effective Computation in Physics, Field Guide to research with python byAntony Scopatz & Kathryn D.Huff

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About this Book
Physicists can harness computers to accomplish and automate nearly any aspect of research. Reading this book is a great way to learn about computational physics from all angles. It will help you to gain and hone software development skills that will be invaluable in the context of your work as a physicist. This book is for anyone in a physics-based field who must do some programming as a result of their job or interest.
Katy and Anthony have shown that a few basic tools like the command shell and version control can save scientists hours or days of work per week. The book will teach you how to do everyday tasks without feeling like you're wading through mud. It will also give you the background knowledge you need to make effective use of the thousands of tutorials and Q&A forums now available on the Web.

Physicists tend to suffer from two deadly assumptions: 1. Software development and software engineering are easy 2. Simply by knowing physics, someone knows how to write code. By reading this book, you will learn the essential software skills that are needed by anyone in a physics-based field. From astrophysics to nuclear engineering, this book will take you from not knowing how to make a computer add two variables together to being the software development guru.
Note: This site doesn’t own any file. All credits goes to the specific publishers, specific Writers of the book. IhtreekTech is just an Index of books available online.






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