Python Easy To Follow Tutorial To Learn Python Programming In Less Than One Week With Practice Exercises Book PDF, EPUB Download & Read Online Free

Easy-To-Follow Tutorial To Learn Python Programming In Less Than One Week
Author: R.M. Lewis
Publisher: R&C Publishing via PublishDrive
Pages: 70
Year: 2018-05-17
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You Can Become A Skilled Python Programmer In Less Than One Week! The Python programming language has long been seen as one of the best ones to use. It has a big library to use, is easy to read, and has all the great features that you are going to need when first learning how to work with coding. It is all there ready for you to use, and you just need to take the first steps! This guidebook is going to help you to take these first steps by showing you exactly how to get started with the Python programming language. Whether you have worked in coding before or you are just looking to get started, this guidebook has all the topics and steps that you need to get your first code written in no time. Inside this guidebook you will learn: - Why should I learn about Python? - The basic parts of the Python code - Working with classes and objects - Working on inheritances - Exception handling - Working with decision control structures - The importance of loops - What file input and output means in this language - The different operators available to make the code stronger - Some practice writing out codes to make fun games all on your own inside Python. Working on the Python language can be one of the most rewarding experiences. There is a lot of power that can be behind these programs but it is simple enough for even a beginner to be able to use all on their own. When you are ready to get started on working with Python and some of your own codes, make sure to check out this guidebook and see just how great it can be to do all of this with Python!
Learning Python
Author: Mark Lutz
Publisher: "O'Reilly Media, Inc."
ISBN: 1449355692
Pages: 1648
Year: 2013-06-12
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Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages. Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3— the latest releases in the 3.X and 2.X lines—plus all other releases in common use today. You’ll also learn some advanced language features that recently have become more common in Python code. Explore Python’s major built-in object types such as numbers, lists, and dictionaries Create and process objects with Python statements, and learn Python’s general syntax model Use functions to avoid code redundancy and package code for reuse Organize statements, functions, and other tools into larger components with modules Dive into classes: Python’s object-oriented programming tool for structuring code Write large programs with Python’s exception-handling model and development tools Learn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing
Python for Data Analysis
Author: Wes McKinney
Publisher: "O'Reilly Media, Inc."
ISBN: 1491957611
Pages: 550
Year: 2017-09-25
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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
Learn Python 3 the Hard Way
Author: Zed A. Shaw
Publisher: Addison-Wesley Professional
ISBN: 0134693906
Pages: 320
Year: 2017-06-26
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You Will Learn Python 3! Zed Shaw has perfected the world’s best system for learning Python 3. Follow it and you will succeed—just like the millions of beginners Zed has taught to date! You bring the discipline, commitment, and persistence; the author supplies everything else. In Learn Python 3 the Hard Way, you’ll learn Python by working through 52 brilliantly crafted exercises. Read them. Type their code precisely. (No copying and pasting!) Fix your mistakes. Watch the programs run. As you do, you’ll learn how a computer works; what good programs look like; and how to read, write, and think about code. Zed then teaches you even more in 5+ hours of video where he shows you how to break, fix, and debug your code—live, as he’s doing the exercises. Install a complete Python environment Organize and write code Fix and break code Basic mathematics Variables Strings and text Interact with users Work with files Looping and logic Data structures using lists and dictionaries Program design Object-oriented programming Inheritance and composition Modules, classes, and objects Python packaging Automated testing Basic game development Basic web development It’ll be hard at first. But soon, you’ll just get it—and that will feel great! This course will reward you for every minute you put into it. Soon, you’ll know one of the world’s most powerful, popular programming languages. You’ll be a Python programmer. This Book Is Perfect For Total beginners with zero programming experience Junior developers who know one or two languages Returning professionals who haven’t written code in years Seasoned professionals looking for a fast, simple, crash course in Python 3
The Hitchhiker's Guide to Python
Author: Kenneth Reitz, Tanya Schlusser
Publisher: "O'Reilly Media, Inc."
ISBN: 1491933224
Pages: 338
Year: 2016-08-30
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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 diversity—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 Hitchhiker’s Guide is light on reusable code and heavier on design philosophy, directing the reader to excellent sources that already exist.
Author: Guido Van Rossum, Python Dev Team
Publisher: Samurai Media Limited
ISBN: 9888406906
Pages: 150
Year: 2016-12-04
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If you do much work on computers, eventually you find that there's some task you'd like to automate. For example, you may wish to perform a search-and-replace over a large number of text files, or rename and rearrange a bunch of photo files in a complicated way. Perhaps you'd like to write a small custom database, or a specialized GUI application, or a simple game. If you're a professional software developer, you may have to work with several C/C++/Java libraries but find the usual write/compile/test/re-compile cycle is too slow. Perhaps you're writing a test suite for such a library and find writing the testing code a tedious task. Or maybe you've written a program that could use an extension language, and you don't want to design and implement a whole new language for your application. Python is just the language for you. This book is a paper version of the freely available electronic documentation of the python project.
The Python Workbook
Author: Ben Stephenson
Publisher: Springer
ISBN: 3319142402
Pages: 165
Year: 2015-01-22
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While other textbooks devote their pages to explaining introductory programming concepts, The Python Workbook focuses exclusively on exercises, following the philosophy that computer programming is a skill best learned through experience and practice. Designed to support and encourage hands-on learning about programming, this student-friendly work contains 174 exercises, spanning a variety of academic disciplines and everyday situations. Solutions to selected exercises are also provided, supported by brief annotations that explain the technique used to solve the problem, or highlight specific points of Python syntax. No background knowledge is required to solve the exercises, beyond the material covered in a typical introductory Python programming course. Undergraduate students undergoing their first programming course and wishing to enhance their programming abilities will find the exercises and solutions provided in this book to be ideal for their needs.
Python Crash Course
Author: Eric Matthes
Publisher: No Starch Press
ISBN: 1593277393
Pages: 560
Year: 2015-11-01
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Python Crash Course is a fast-paced, thorough introduction to Python that will have you writing programs, solving problems, and making things that work in no time. In the first half of the book, you’ll learn about basic programming concepts, such as lists, dictionaries, classes, and loops, and practice writing clean and readable code with exercises for each topic. You’ll also learn how to make your programs interactive and how to test your code safely before adding it to a project. In the second half of the book, you’ll put your new knowledge into practice with three substantial projects: a Space Invaders–inspired arcade game, data visualizations with Python’s super-handy libraries, and a simple web app you can deploy online. As you work through Python Crash Course you’ll learn how to: –Use powerful Python libraries and tools, including matplotlib, NumPy, and Pygal –Make 2D games that respond to keypresses and mouse clicks, and that grow more difficult as the game progresses –Work with data to generate interactive visualizations –Create and customize Web apps and deploy them safely online –Deal with mistakes and errors so you can solve your own programming problems If you’ve been thinking seriously about digging into programming, Python Crash Course will get you up to speed and have you writing real programs fast. Why wait any longer? Start your engines and code! Uses Python 2 and 3
Python for Kids
Author: Jason R. Briggs
Publisher: No Starch Press
ISBN: 1593274076
Pages: 344
Year: 2013
View: 414
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Introduces the basics of the Python programming language, covering how to use data structures, organize and reuse code, draw shapes and patterns with turtle, and create games and animations with tkinter.
Python Programming
Author: Icode Academy
Publisher: Createspace Independent Publishing Platform
ISBN: 1535235632
Pages: 98
Year: 2017-01-09
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***** Add to Cart NOW: $10.97 ***** ***** Normally priced: $17.97 ***** Are You Ready To Learn Python Easily? Learning Python Programming in 7 days is possible, although it might not look like it's easy at first, especially if you are someone with meager experience in dealing with a programming language. As you learn, you will see that it is not that difficult to understand, and it becomes easier when you add patience, diligence, and discipline. This book has all the materials that you need in learning basic Python Programming. It is presented in easy to understand format - much of technical jargons were eliminated, although you might still find some, but they are the terms that you will likely (almost always) encounter when creating your codes. You will find no such trouble in understanding the terms, and how to do it properly. Samples are provided for you, and explanations are also presented so you won't get lost and still have fun while learning. You will be glad that you have this book with you while learning Python. Discover many things that you can do with Python programming, and you might even start a new career. Here's What You'll Learn From This Python For Beginners Book: Introduction Chapter 1: Welcome to the World of the Python Chapter 2: Python Syntax Chapter 3: Important Strings and Console Output Chapter 4: The Conditionals and Control Flow Chapter 5: Understanding Lists, Tuples, and Dictionaries Chapter 6: The Loops Chapter 7: Understanding the Functions Chapter 8: Coding a Full Program Chapter 9: Reserved Words and Functions and much more What Are You Waiting For? Start Coding Python Right Now!
Think Python
Author: Allen B. Downey
Publisher: "O'Reilly Media, Inc."
ISBN: 1491939419
Pages: 292
Year: 2015-12-02
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If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. This second edition and its supporting code have been updated for Python 3. Through exercises in each chapter, you’ll try out programming concepts as you learn them. Think Python is ideal for students at the high school or college level, as well as self-learners, home-schooled students, and professionals who need to learn programming basics. Beginners just getting their feet wet will learn how to start with Python in a browser. Start with the basics, including language syntax and semantics Get a clear definition of each programming concept Learn about values, variables, statements, functions, and data structures in a logical progression Discover how to work with files and databases Understand objects, methods, and object-oriented programming Use debugging techniques to fix syntax, runtime, and semantic errors Explore interface design, data structures, and GUI-based programs through case studies
Python for Everybody
Author: Charles R. Severance
ISBN: 1530051126
Pages: 242
Year: 2016-04-09
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Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.This book uses the Python 3 language. The earlier Python 2 version of this book is titled "Python for Informatics: Exploring Information".There are free downloadable electronic copies of this book in various formats and supporting materials for the book at The course materials are available to you under a Creative Commons License so you can adapt them to teach your own Python course.
Automate the Boring Stuff with Python
Author: Al Sweigart
Publisher: No Starch Press
ISBN: 1593276850
Pages: 504
Year: 2015-04-14
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If you’ve ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you? In Automate the Boring Stuff with Python, you’ll learn how to use Python to write programs that do in minutes what would take you hours to do by hand—no prior programming experience required. Once you’ve mastered the basics of programming, you’ll create Python programs that effortlessly perform useful and impressive feats of automation to: –Search for text in a file or across multiple files –Create, update, move, and rename files and folders –Search the Web and download online content –Update and format data in Excel spreadsheets of any size –Split, merge, watermark, and encrypt PDFs –Send reminder emails and text notifications –Fill out online forms Step-by-step instructions walk you through each program, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks. Don’t spend your time doing work a well-trained monkey could do. Even if you’ve never written a line of code, you can make your computer do the grunt work. Learn how in Automate the Boring Stuff with Python. Note: The programs in this book are written to run on Python 3.
R for Data Science
Author: Hadley Wickham, Garrett Grolemund
Publisher: "O'Reilly Media, Inc."
ISBN: 1491910364
Pages: 520
Year: 2016-12-12
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Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Learning Python Design Patterns
Author: Gennadiy Zlobin
Publisher: Packt Publishing Ltd
ISBN: 1783283386
Pages: 100
Year: 2013-11-25
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This book takes a tutorial-based and user-friendly approach to covering Python design patterns. Its concise presentation means that in a short space of time, you will get a good introduction to various design patterns.If you are an intermediate level Python user, this book is for you. Prior knowledge of Python programming is essential. Some knowledge of UML is also required to understand the UML diagrams which are used to describe some design patterns.