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Learning Python

Learning Python PDF
Author: Mark Lutz
Publisher: "O'Reilly Media, Inc."
Release: 2003-12-23
Size: 31.46 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 624
View: 3631

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Portable, powerful, and a breeze to use, Python is the popular open source object-oriented programming language used for both standalone programs and scripting applications. Python is considered easy to learn, but there's no quicker way to mastery of the language than learning from an expert teacher. This edition of Learning Python puts you in the hands of two expert teachers, Mark Lutz and David Ascher, whose friendly, well-structured prose has guided many a programmer to proficiency with the language. Learning Python, Second Edition, offers programmers a comprehensive learning tool for Python and object-oriented programming. Thoroughly updated for the numerous language and class presentation changes that have taken place since the release of the first edition in 1999, this guide introduces the basic elements of the latest release of Python 2.3 and covers new features, such as list comprehensions, nested scopes, and iterators/generators. Beyond language features, this edition of Learning Python also includes new context for less-experienced programmers, including fresh overviews of object-oriented programming and dynamic typing, new discussions of program launch and configuration options, new coverage of documentation sources, and more. There are also new use cases throughout to make the application of language features more concrete. The first part of Learning Python gives programmers all the information they'll need to understand and construct programs in the Python language, including types, operators, statements, classes, functions, modules and exceptions. The authors then present more advanced material, showing how Python performs common tasks by offering real applications and the libraries available for those applications. Each chapter ends with a series of exercises that will test your Python skills and measure your understanding. Learning Python, Second Edition is a self-paced book that allows readers to focus on the core Python language in depth. As you work through the book, you'll gain a deep and complete understanding of the Python language that will help you to understand the larger application-level examples that you'll encounter on your own. If you're interested in learning Python--and want to do so quickly and efficiently--then Learning Python, Second Edition is your best choice.

Learning Python

Learning Python PDF
Author: Steven Horstmann
Publisher: Independently Published
Release: 2020-09-21
Size: 21.40 MB
Format: PDF, ePub, Docs
Category :
Languages : en
Pages : 110
View: 4446

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Thanks to its flexibility, Python has grown to become one of the most popular programming languages in the world. Developers use Python 3 in app development, web development, data science, machine learning, and even in coding education classes. There's almost no type of project that Python can't make better. From creating apps to building complex websites to sorting big data, Python provides a way to get the work done. This book offers a starting point for those new to coding by explaining the basics of Python and demonstrating how it's used in a variety of applications.

Hands On Unsupervised Learning Using Python

Hands On Unsupervised Learning Using Python PDF
Author: Ankur A. Patel
Publisher: O'Reilly Media
Release: 2019-02-21
Size: 21.35 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 362
View: 3926

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Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied. Unsupervised learning, on the other hand, can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover. Author Ankur Patel shows you how to apply unsupervised learning using two simple, production-ready Python frameworks: Scikit-learn and TensorFlow using Keras. With code and hands-on examples, data scientists will identify difficult-to-find patterns in data and gain deeper business insight, detect anomalies, perform automatic feature engineering and selection, and generate synthetic datasets. All you need is programming and some machine learning experience to get started. Compare the strengths and weaknesses of the different machine learning approaches: supervised, unsupervised, and reinforcement learning Set up and manage machine learning projects end-to-end Build an anomaly detection system to catch credit card fraud Clusters users into distinct and homogeneous groups Perform semisupervised learning Develop movie recommender systems using restricted Boltzmann machines Generate synthetic images using generative adversarial networks

Learning Python Networking Second Edition

Learning Python Networking   Second Edition PDF
Author: Jose Ortega
Publisher:
Release: 2019
Size: 67.23 MB
Format: PDF, Mobi
Category :
Languages : en
Pages : 490
View: 3781

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Achieve improved network programmability and automation by leveraging powerful network programming concepts, algorithms, and tools Key Features Deal with remote network servers using SSH, FTP, SNMP and LDAP protocols. Design multi threaded and event-driven architectures for asynchronous servers programming. Leverage your Python programming skills to build powerful network applications Book Description Network programming has always been a demanding task. With full-featured and well-documented libraries all the way up the stack, Python makes network programming the enjoyable experience it should be. Starting with a walk through of today's major networking protocols, through this book, you'll learn how to employ Python for network programming, how to request and retrieve web resources, and how to extract data in major formats over the web. You will utilize Python for emailing using different protocols, and you'll interact with remote systems and IP and DNS networking. You will cover the connection of networking devices and configuration using Python 3.7, along with cloud-based network management tasks using Python. As the book progresses, socket programming will be covered, followed by how to design servers, and the pros and cons of multithreaded and event-driven architectures. You'll develop practical clientside applications, including web API clients, email clients, SSH, and FTP. These applications will also be implemented through existing web application frameworks. What you will learn Execute Python modules on networking tools Automate tasks regarding the analysis and extraction of information from a network Get to grips with asynchronous programming modules available in Python Get to grips with IP address manipulation modules using Python programming Understand the main frameworks available in Python that are focused on web application Manipulate IP addresses and perform CIDR calculations Who this book is for If you're a Python developer or a system administrator with Python experience and you're looking to take your first steps in network programming, then this book is for you. If you're a network engineer or a network professional aiming to be more productive and efficient in networking programmability and automation then this book would serve as a useful resource. Basic knowledge of Python is assumed. Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your accou ...

Python Programming Illustrated For Beginners Intermediates Learn By Doing Approach Step By Step Ultimate Guide To Mastering Python

Python Programming Illustrated For Beginners   Intermediates   Learn By Doing    Approach Step By Step Ultimate Guide To Mastering Python PDF
Author: William Sullivan
Publisher: PublishDrive
Release: 2018-06-21
Size: 53.77 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 229
View: 5709

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Python Programming Illustrated Guide For Beginners & Intermediates Whether you are at a beginner or intermediate level this book is crafted just for you! Learn Python Fundamentals This is your beginner's step by step guide with illustrated pictures! Learn one of the most essential, renowned and practical programming languages in 21st century. Python is a general purpose programming used by many start-ups. Its design emphasizes code readability, notably using significant whitespace Did you know Mozilla Firefox, PBS, Reddit, and even NASA! All use Python programming for their websites? Providing constructs whether small or large scale Python is versatile and can be used in a variety of ways. What You Will Learn: Python Running Your First Program Identifiers Variables Data Types Codes Practical Implementations And, much, much more! If you want to learn more about python programming it is highly recommended you start from the ground up by using this book. Why not start off by making a small and affordable investment with your illustrated beginners guide that walks you through python programming step by step. Why choose this book? Addresses Fundamental Concepts Goes Straight To The Point, No fluff or nonsense Practical Examples High Quality Diagrams "Noob friendly" (Good For beginners) Object Oriented Programming With Python Lambda Expressions Endorses Learn "By Doing Approach" Concise And To The Point I been working tirelessly to provide you quality books at an affordable price. I believe this book will give you the confidence to tackle python programming at a fundamental level. What are you waiting for? Make the greatest investment in knowledge base right now. Buy your copy now!

Learning Python

Learning Python PDF
Author: Guido Van Rossum
Publisher:
Release: 2020-07-22
Size: 15.46 MB
Format: PDF
Category : Computers
Languages : en
Pages : 162
View: 7326

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Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python's elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms. The Python interpreter and the extensive standard library are freely available in source or binary form for all major platforms from the Python Web site. The same site also contains distributions of and pointers to many free third party Python modules, programs and tools, and additional documentation. The Python interpreter is easily extended with new functions and data types implemented in C or C++ (or other languages callable from C). Python is also suitable as an extension language for customizable applications. This tutorial introduces the reader informally to the basic concepts and features of the python language and system. It helps to have a Python interpreter handy for hands-on experience, but all examples are self contained, so the tutorial can be read off-line as well. For a description of standard objects and modules, see library-index. reference-index gives a more formal definition of the language. To write extensions in C or C++, read extending-index and c-api-index. There are also several books covering Python in depth. This tutorial does not attempt to be comprehensive and cover every single feature, or even every commonly used feature. Instead, it introduces many of Python's most noteworthy features, and will give you a good idea of the language's flavor and style. After reading it, you will be able to read and write Python modules and programs, and you will be ready to learn more about the various Python library modules described in library-index. The Glossary is also worth going through. This fast-paced, thorough introduction to programming with Python will have you writing programs, solving problems, and making things that work in no time. Python Tutorial Release 3.7.0 Guido van Rossum and the Python development team

Python For Professionals

Python for Professionals PDF
Author: Matt Telles
Publisher: BPB Publications
Release: 2019-12-18
Size: 14.41 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 386
View: 5169

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TAGLINE Learn to be a Python expert in ten easy lessons! DESCRIPTION This book is intended for the professional programmer who wants to learn Python for their place of business, or simply to extend their knowledge. You will learn the basics of the language--from how to define variables and implement looping and conditional constructs, to working with existing code. Once we have established the baseline for writing code in Python, you’ll learn how to create your own functions and classes, how to extend existing code, and how to work with Python-specific things like comprehensions and generators. With a solid foundation, you will then move on to learn about the existing Python libraries, called packages, and how to use them, as well as discovering little tips and tricks that will make you a hit with all the programmers at work, and really aid you in nailing that programming interview. KEY FEATURES Acquire knowledge of Python programming simply and easily. Learn about object-oriented programming and how it applies to Python. Make a splash with list comprehensions, generators, and decorators. Learn about file processing with Python, and how it makes JSON easy to deal with. Work with dictionaries and sets quickly and easily. Learn about what others have made available in the Python world. Pick up tricks and tips that will make you look like a Python expert in no time. WHAT WILL YOU LEARN By the time you have finished this book, you will know enough to write complex Python programs and work with existing Python code. You will find out about the packages that make Python one of the most popular programming languages and will understand the “Pythonic” way of thinking and programming. WHO THIS BOOK IS FOR This book is designed for programmers who have experience in at least one programming language. No prior Python experience is necessary, but it is assumed that you understand the basics of loops, conditionals and object-oriented constructs, such as classes. You should have or have access to a system that runs Python 3 (any version). Table of Contents 1. The history and installation of Python 2. Python types and constructs 3. The Nuts and Bolts 4. Structuring your Python projects 5. Object-oriented programming with Python 6. Advanced manipulations 7. File input and output 8. Imports and Exports 9. Miscellaneous 10. Not re-inventing the wheel 11. Tips and Tricks

Learning Python Testing

Learning Python Testing PDF
Author: Daniel Arbuckle
Publisher: Packt Publishing Ltd
Release: 2014-11-25
Size: 34.99 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 200
View: 4352

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This book is ideal if you want to learn about the testing disciplines and automated testing tools from a hands-on, conversational guide. You should already know Python and be comfortable with Python 3.

Learning Python With Raspberry Pi

Learning Python with Raspberry Pi PDF
Author: Alex Bradbury
Publisher: John Wiley & Sons
Release: 2014-03-10
Size: 46.22 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 286
View: 3054

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

Learning Python 5th Edition

Learning Python  5th Edition PDF
Author: Mark Lutz
Publisher:
Release: 2013
Size: 59.99 MB
Format: PDF, Kindle
Category : Electronic book
Languages : en
Pages : 1643
View: 7703

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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.