Learning Python

Learning Python PDF
Author: Mark Lutz
Publisher: "O'Reilly Media, Inc."
ISBN: 1449355692
Size: 51.71 MB
Format: PDF, Kindle
Category :
Languages : en
Pages : 1648
View: 7310

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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

Learning Python

Learning Python PDF
Author: Fabrizio Romano
Publisher: Packt Publishing Ltd
ISBN: 1785284576
Size: 22.37 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 442
View: 299

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Learn to code like a professional with Python – an open source, versatile, and powerful programming language About This Book Learn the fundamentals of programming with Python – one of the best languages ever created Develop a strong set of programming skills that you will be able to express in any situation, on every platform, thanks to Python's portability Create outstanding applications of all kind, from websites to scripting, and from GUIs to data science Who This Book Is For Python is the most popular introductory teaching language in U.S. top computer science universities, so if you are new to software development, or maybe you have little experience, and would like to start off on the right foot, then this language and this book are what you need. Its amazing design and portability will help you become productive regardless of the environment you choose to work with. What You Will Learn Get Python up and running on Windows, Mac, and Linux in no time Grasp the fundamental concepts of coding, along with the basics of data structures and control flow. Write elegant, reusable, and efficient code in any situation Understand when to use the functional or the object oriented programming approach Create bulletproof, reliable software by writing tests to support your code Explore examples of GUIs, scripting, data science and web applications Learn to be independent, capable of fetching any resource you need, as well as dig deeper In Detail Learning Python has a dynamic and varied nature. It reads easily and lays a good foundation for those who are interested in digging deeper. It has a practical and example-oriented approach through which both the introductory and the advanced topics are explained. Starting with the fundamentals of programming and Python, it ends by exploring very different topics, like GUIs, web apps and data science. The book takes you all the way to creating a fully fledged application. The book begins by exploring the essentials of programming, data structures and teaches you how to manipulate them. It then moves on to controlling the flow of a program and writing reusable and error proof code. You will then explore different programming paradigms that will allow you to find the best approach to any situation, and also learn how to perform performance optimization as well as effective debugging. Throughout, the book steers you through the various types of applications, and it concludes with a complete mini website built upon all the concepts that you learned. Style and approach This book is an easy-to-follow guide that will take you from a novice to the proficient level at a comfortable pace, using a lot of simple but effective examples. Each topic is explained thoroughly, and pointers are left for the more inquisitive readers to dig deeper and expand their knowledge.

Learn Python The Hard Way

Learn Python the Hard Way PDF
Author: Zed Shaw
Publisher: Pearson Education
ISBN: 0321884914
Size: 38.89 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 287
View: 939

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You Will Learn Python! Zed Shaw has perfected the world's best system for learning Python. Follow it and you will succeed-just like the hundreds of thousands of beginners Zed has taught to date! You bring the discipline, commitment, and persistence; the author supplies everything else. In Learn Python the Hard Way, Third Edition, 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 software works; what good programs look like; how to read, write, and think about code; and how to find and fix your mistakes using tricks professional programmers use. Most importantly, you'll learn the following, which you need to start writing excellent Python software of your own: Installing a complete Python environment Organizing and writing code Basic mathematics Variables Strings and text Interacting with users Working 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 Debugging 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 tutorial 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. Watch Zed, too! The accompanying DVD contains 5+ hours of passionate, powerful teaching: a complete Python video course!

Python 101

Python 101 PDF
Author: Michael Driscoll
Publisher: Lulu.com
ISBN: 0996062815
Size: 48.81 MB
Format: PDF, Docs
Category :
Languages : en
Pages : 239
View: 4328

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Learn how to program with Python from beginning to end. This book is for beginners who want to get up to speed quickly and become intermediate programmers fast!

Learning Python With Raspberry Pi

Learning Python with Raspberry Pi PDF
Author: Alex Bradbury
Publisher: John Wiley & Sons
ISBN: 1118717058
Size: 67.51 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 286
View: 6701

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Explains how to leverage the revolutionary Raspberry Pi computer in order to learn the versatile Python programming language. Original.

Machine Learning In Python

Machine Learning in Python PDF
Author: Michael Bowles
Publisher: John Wiley & Sons
ISBN: 1118961749
Size: 68.14 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 336
View: 3135

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This book shows readers how they can successfully analyze data using only two core machine learning algorithms---and how to do so using the popular Python programming language. These algorithms deal with common scenarios faced by all data analysts and data scientists. This book focuses on two algorithm families (linear methods and ensemble methods) that effectively predict outcomes. This type of problem covers a multitude of use cases (what ad to place on a web page, predicting prices in securities markets, detecting credit card fraud, etc.). The focus on two families gives enough room for full descriptions of the mechanisms at work in the algorithms. Then the code examples serve to illustrate the workings of the machinery with specific hackable code. The author will explain in simple terms, using no complex math, how these algorithms work, and will then show how to apply them in Python. He will also provide advice on how to select from among these algorithms, and will show how to prepare the data, and how to use the trained models in practice. The author begins with an overview of the two core algorithms, explaining the types of problems solved by each one. He then introduces a core set of Python programming techniques that can be used to apply these algorithms. The author shows various techniques for building predictive models that solve a range of problems, from simple to complex; he also shows how to measure the performance of each model to ensure you use the right one. The following chapters provide a deep dive into each of the two algorithms: penalized linear regression and ensemble methods. Chapters will show how to apply each algorithm in Python. Readers can directly use the sample code to build their own solutions.

Learning Python

Learning Python PDF
Author: Neos Thanh
Publisher: Neos Thanh
ISBN:
Size: 73.87 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 137
View: 5085

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Python is an easy-to-use and easy-to learn programming language that is freely available on Windows, Macintosh, and Linux computers. In this book, you’ll learn Python by working through 15 chapters. 1. Introduction 2. Installation and Getting Started 3. Python IDEs and Debuggers 4. Python Basics 5. Data Types and Dynamic Typing 6. Control Constructs 7. Functions 8. Modules, Import-Statements and Packages 9. Advanced Functions and Namespaces 10. File Input/Output 11. Assertion and Exception Handling 12. Commonly-Used Python Standard Library Modules 13. Object-Oriented Programming (OOP) in Python 14. Unit Testing 15. Database Programming This book is designed for - Students who want to learn programming and computational thinking with no 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

Python Programming Deep Learning

Python Programming  Deep Learning PDF
Author: Anthony Adams
Publisher: Big Book Limited
ISBN: 9781914065279
Size: 25.40 MB
Format: PDF, ePub, Docs
Category :
Languages : en
Pages : 558
View: 4971

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55% OFF for bookstores! Get maximum revenue from the sale of this book. Your customers will love this book.

Introduction To Machine Learning With Python

Introduction to Machine Learning with Python PDF
Author: Andreas C. Müller
Publisher: "O'Reilly Media, Inc."
ISBN: 1449369898
Size: 32.66 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 400
View: 744

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Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. You’ll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book. With this book, you’ll learn: Fundamental concepts and applications of machine learning Advantages and shortcomings of widely used machine learning algorithms How to represent data processed by machine learning, including which data aspects to focus on Advanced methods for model evaluation and parameter tuning The concept of pipelines for chaining models and encapsulating your workflow Methods for working with text data, including text-specific processing techniques Suggestions for improving your machine learning and data science skills

Python Machine Learning

Python Machine Learning PDF
Author: Sebastian Raschka
Publisher: Packt Publishing Ltd
ISBN: 1783555149
Size: 23.11 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 454
View: 6516

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Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics About This Book Leverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization Learn effective strategies and best practices to improve and optimize machine learning systems and algorithms Ask – and answer – tough questions of your data with robust statistical models, built for a range of datasets Who This Book Is For If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource. What You Will Learn Explore how to use different machine learning models to ask different questions of your data Learn how to build neural networks using Keras and Theano Find out how to write clean and elegant Python code that will optimize the strength of your algorithms Discover how to embed your machine learning model in a web application for increased accessibility Predict continuous target outcomes using regression analysis Uncover hidden patterns and structures in data with clustering Organize data using effective pre-processing techniques Get to grips with sentiment analysis to delve deeper into textual and social media data In Detail Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data – its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success. Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Keras, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organization. Style and approach Python Machine Learning connects the fundamental theoretical principles behind machine learning to their practical application in a way that focuses you on asking and answering the right questions. It walks you through the key elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models.

Learning Python

Learning Python PDF
Author: Oliver Soranson
Publisher: Independently Published
ISBN: 9781706469667
Size: 24.22 MB
Format: PDF, Mobi
Category :
Languages : en
Pages : 225
View: 5920

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Learning Python: The Ultimate Guide for Beginners to Coding with Python with Useful Tools is the best-selling guide to understanding the Python Programming language as a beginner. This fast-paced and thorough introduction will furnish you with everything you need concerning Python - you will learn how to write programs, solve important problems, and do more than you wanted. This book is an in-depth introduction to the Python programming language. Based on the author's experience in the programming language, you will learn how to effectively write high-quality code. In this book, you will learn the fundamentals of various programming concepts, including variables, keywords, lists, loops, and so much more. The book also contains important examples and exercises to try for yourself. Unlike other Python programming books, you will find online; this book is carefully written for beginners without any elaborate explanations. The author used simple programming terms to explain important concepts. You will explore the fundamentals of Python programming language and how you can manipulate the language to get the result you want. Learning Python is a book that will equip you with perfect knowledge and understanding of Python Language. The book is loaded with examples and exercises to try to challenge you. However, you will learn the following in this book: You have a comprehensive knowledge of Python You can install Python on various operating systems You can create your own first program You can use Python to create a calculator program You can use control flow tools such as elif statement, if-else, and if statements effectively. You can easily manipulate various loops - for, while, and while true loop You understand what a function is and how to use it in a program You know how to pass a statement in a program Learning Python: The Ultimate Guide for Beginners to Coding with Python with Useful Tools is for everyone who wants to learn a new language. The book is for people with comparatively little experience in programming language. Indeed, it is the starting point for any aspiring programmers who want to write programs that will accomplish important tasks. The book is your one-stop avenue to learn Python effortlessly.

Deep Learning With Python

Deep Learning with Python PDF
Author: Francois Chollet
Publisher: Simon and Schuster
ISBN: 1638352046
Size: 14.24 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 384
View: 1624

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Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications. About the Book Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects. What's Inside Deep learning from first principles Setting up your own deep-learning environment Image-classification models Deep learning for text and sequences Neural style transfer, text generation, and image generation About the Reader Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. About the Author François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does deep-learning research, with a focus on computer vision and the application of machine learning to formal reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others. Table of Contents PART 1 - FUNDAMENTALS OF DEEP LEARNING What is deep learning? Before we begin: the mathematical building blocks of neural networks Getting started with neural networks Fundamentals of machine learning PART 2 - DEEP LEARNING IN PRACTICE Deep learning for computer vision Deep learning for text and sequences Advanced deep-learning best practices Generative deep learning Conclusions appendix A - Installing Keras and its dependencies on Ubuntu appendix B - Running Jupyter notebooks on an EC2 GPU instance

Learning Scientific Programming With Python

Learning Scientific Programming with Python PDF
Author: Christian Hill
Publisher: Cambridge University Press
ISBN: 1108745911
Size: 52.30 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 568
View: 4674

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This fast-paced introduction to Python moves from the basics to advanced concepts, enabling readers to gain proficiency quickly.

Python For Everybody

Python for Everybody PDF
Author: Charles R. Severance
Publisher:
ISBN: 9781530051120
Size: 46.80 MB
Format: PDF, Docs
Category :
Languages : en
Pages : 242
View: 3502

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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 www.pythonlearn.com. The course materials are available to you under a Creative Commons License so you can adapt them to teach your own Python course.

Learn Python 3 The Hard Way

Learn Python 3 the Hard Way PDF
Author: Zed A. Shaw
Publisher: Addison-Wesley Professional
ISBN: 0134693906
Size: 21.76 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 320
View: 5306

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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

Learn Python Visually

Learn Python Visually PDF
Author: Tristan Bunn
Publisher: No Starch Press
ISBN: 1718500963
Size: 80.20 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 296
View: 7645

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An accessible, visual, and creative approach to teaching core coding concepts using Python's Processing.py, an open-source graphical development environment. This beginners book introduces non-programmers to the fundamentals of computer coding within a visual, arts-focused context. Tristan Bunn's remarkably effective teaching approach is designed to help you visualize core programming concepts while you make cool pictures, animations, and simulations using Python Mode for the open-source Processing development environment. Right from the first chapter, you'll produce and manipulate colorful drawings, shapes and patterns as Bunn walks you through a series of easy-to-follow graphical coding projects that grow increasingly complex. You'll go from drawing with code to animating a bouncing DVD screensaver and practicing data-visualization techniques. Along the way, you'll encounter creative-yet-practical skill-building challenges that relate to everything from video games, cars, and coffee, to fine art, amoebas, and Pink Floyd. As you grow more fluent in both Python and programming in general, topics shift toward the mastery of algorithmic thinking, as you explore periodic motion, Lissajous curves, and using classes to create objects. You'll learn about: - Basic coding theories and concepts, like variables, data types, pixel coordinates, control flow and algorithms - Writing code that produces drawings, patterns, animations, data visualizations, user interfaces, and simulations - Using conditional statements, iteration, randomness, lists and dictionaries - Defining functions, reducing repetition, and making your code more modular - How to write classes, and create objects to structure code more efficiently In addition to giving you a good grounding in general programming, the skills and knowledge you'll gain in this book are your entry point to coding for an ever-expanding horizon of creative technologies.

Python Data Science Handbook

Python Data Science Handbook PDF
Author: Jake VanderPlas
Publisher: "O'Reilly Media, Inc."
ISBN: 1491912138
Size: 22.44 MB
Format: PDF
Category : Computers
Languages : en
Pages : 548
View: 3430

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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 Python

Learning Python PDF
Author: B. Nagesh Rao
Publisher:
ISBN: 9788193392317
Size: 16.84 MB
Format: PDF, ePub, Mobi
Category :
Languages : en
Pages :
View: 2900

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10 Reasons Why This is the Best Book for You: 1. This book starts slowly! The fundamental concepts are taught gently to ensure that you have a good foundation of basic concepts! 2. This book is well organised! The chapters, headings, subheadings and content within the chapters have been planned very carefully so that you conquer Python - chapter by chapter! 3. This book teaches interactively! The moment a new concept is taught, there is code that immediately follows so that you understand how it looks to the Python interpreter! 4. This book teaches even when you can't practice! Not only do we show you code immediately after teaching a concept, we also provide output from a real Python session so that you can imagine how Python reacts when you type in a piece of code! 5. This book teaches good programming practices! It is not only important to learn Python, but to also code like a professional. While it will definitely take a little bit of time to metamorphose from novice to professional, we show you best practices and pitfalls that will accelerate your journey! 6. This book presents programs that solve real problems! When it is time to apply Python, we show you constructive programs that demonstrate how to apply Python concepts! 7. We analyse every bit of code! Everything there is to analyse is analysed. Code snippets and programs are followed by output, which is then followed by analysis! 8. We compare Python with other programming languages! For the benefit of those readers who already know other programming languages like C/C++, Java or Perl, we provide tips that help them migrate to Python faster. These tips are in separate boxes to ensure that they don't disturb those readers who are not savvy with these languages! 9. We have filtered out content! While this might appear disadvantageous or counter-intuitive, we believe in presenting the most important concepts in detail and probably even skipping some concepts that you can live without! Call it the 80/20 rule if you will - we have decided to present in great detail those 20% of the features that you will use 80% of the time! 10. Each heading and subheading is need based! Our style of explaining a new concept is by first establishing a need. We believe this makes it easier for learners to understand not only what they are learning but also why!