Learning Python: Powerful Object-Oriented Programming

O'Reilly Media - It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages. Complete with quizzes, and helpful illustrations, this easy-to-follow, exercises, 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. Based on author mark lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. You’ll also learn some advanced language features that recently have become more common in Python code.

Learning Python: Powerful Object-Oriented Programming - Explore python’s major built-in object types such as numbers, functions, metaclasses, including decorators, and dictionariesCreate and process objects with Python statements, and learn Python’s general syntax modelUse functions to avoid code redundancy and package code for reuseOrganize statements, and other tools into larger components with modulesDive into classes: Python’s object-oriented programming tool for structuring codeWrite large programs with Python’s exception-handling model and development toolsLearn advanced Python tools, descriptors, lists, and Unicode processing.





Programming Python: Powerful Object-Oriented Programming

O'Reilly Media - You'll also explore how python is used in databases, front-end scripting layers, networking, text processing, and more. Programming python will show you how, GUIs, with in-depth tutorials on the language's primary application domains: system administration, and the Web. Completely updated for version 3.

X, programming python also delves into the language as a software development tool, with many code examples scaled specifically for that purpose. Topics include:quick python tour: build a simple demo that includes data representation, parse text-based information, use cgi scripts, object persistence, and learn website implementation techniquesMore ways to apply Python: Implement data structures, running programs in parallel, GUIs, and website basicsSystem programming: Explore system interface tools and techniques for command-line scripting, object-oriented programming, interface with databases, processing files and folders, and moreGUI programming: Learn to use Python’s tkinter widget libraryInternet programming: Access client-side network protocols and email tools, and extend and embed Python .

Programming Python: Powerful Object-Oriented Programming - This book focuses on commonly used tools and libraries to give you a comprehensive understanding of Python’s many roles in practical, real-world programming. You'll learn language syntax and programming techniques in a clear and concise manner, with lots of examples that illustrate both correct usage and common idioms.

If you've mastered python's fundamentals, you're ready to start using it to get real work done.





Python Pocket Reference: Python In Your Pocket Pocket Reference O'Reilly

O'Reilly Media - The handy index lets you pinpoint exactly what you need. Written by mark lutz—widely recognized as the world’s leading Python trainer—Python Pocket Reference is an ideal companion to O’Reilly’s classic Python tutorials, Learning Python and Programming Python, also written by Mark. This fifth edition covers:built-in object types, including numbers, and morestatements and syntax for creating and processing objectsFunctions and modules for structuring and reusing codePython’s object-oriented programming toolsBuilt-in functions, lists, exceptions, dictionaries, and attributesSpecial operator overloading methodsWidely used standard library modules and extensionsCommand-line options and development toolsPython idioms and hintsThe Python SQL Database API .

Updated for both Python 3. 4 and 2. 7, this convenient pocket guide is the perfect on-the-job quick reference. You’ll find concise, need-to-know information on Python types and statements, special method names, commonly used standard library modules, built-in functions and exceptions, and other prominent Python tools.





Python Cookbook: Recipes for Mastering Python 3

O'Reilly Media - If you need help writing programs in Python 3, or want to update older Python 2 code, this book is just the ticket. Each recipe contains code samples you can use in your projects right away, along with a discussion about how and why the solution works. Topics include:data structures and algorithmsstrings and textnumbers, dates, Debugging, and TimesIterators and GeneratorsFiles and I/OData Encoding and ProcessingFunctionsClasses and ObjectsMetaprogrammingModules and PackagesNetwork and Web ProgrammingConcurrencyUtility Scripting and System AdministrationTesting, and ExceptionsC Extensions .

Packed with practical recipes written and tested with Python 3. 3, this unique cookbook is for experienced Python programmers who want to focus on modern tools and idioms. Inside, you’ll find complete recipes for more than a dozen topics, covering the core Python language as well as tasks common to a wide variety of application domains.





Fluent Python: Clear, Concise, and Effective Programming

O'Reilly Media - With this book, those Python programmers will thoroughly learn how to become proficient in Python 3. This book covers:python data model: understand how special methods are the key to the consistent behavior of objectsData structures: take full advantage of built-in types, and understand the text vs bytes duality in the Unicode ageFunctions as objects: view Python functions as first-class objects, and multiple inheritanceControl flow: leverage context managers, interfaces, mutability, coroutines, generators, and understand how this affects popular design patternsObject-oriented idioms: build classes by learning about references, operator overloading, and concurrency with the concurrent.

Futures and asyncio packagesMetaprogramming: understand how properties, attribute descriptors, class decorators, and metaclasses work . Author luciano ramalho takes you through Python’s core language features and libraries, faster, and shows you how to make your code shorter, and more readable at the same time.

Fluent Python: Clear, Concise, and Effective Programming - Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this hands-on guide, you’ll learn how to write effective, idiomatic Python code by leveraging its best—and possibly most neglected—features.

Python’s simplicity lets you become productive quickly, but this often means you aren’t using everything it has to offer.





Introducing Python: Modern Computing in Simple Packages

O'Reilly Media - End-of-chapter exercises help you practice what you’ve learned. You’ll gain a strong foundation in the language, code reuse, debugging, including best practices for testing, and other development tips. Author bill lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3.

Easy to understand and fun to read, Introducing Python is ideal for beginning programmers as well as those new to the language. This book also shows you how to use Python for applications in business, science, and the arts, using various Python tools and open source packages. Learn simple data types, apis, classes, and basic math and text operationsuse data-wrangling techniques with Python’s built-in data structuresExplore Python code structure, processes, including the use of functionsWrite large programs in Python, servers, and other object-oriented featuresExamine storage from flat files to relational databases and NoSQLUse Python to build web clients, with modules and packagesDive into objects, and servicesManage system tasks such as programs, and threadsUnderstand the basics of concurrency and network programming.





Python Crash Course: A Hands-On, Project-Based Introduction to Programming

No Starch Press - 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, and loops, such as lists, dictionaries, you’ll learn about basic programming concepts, classes, and practice writing clean and readable code with exercises for each topic.

In the second half of the book, data visualizations with Python’s super-handy libraries, you’ll put your new knowledge into practice with three substantial projects: a Space Invaders–inspired arcade game, 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, 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 problemsIf you’ve been thinking seriously about digging into programming, NumPy, including matplotlib, Python Crash Course will get you up to speed and have you writing real programs fast.

Python Crash Course: A Hands-On, Project-Based Introduction to Programming - Why wait any longer? start your engines and code!Uses Python 2 and 3. You’ll also learn how to make your programs interactive and how to test your code safely before adding it to a project.





Automate the Boring Stuff with Python: Practical Programming for Total Beginners

No Starch Press - 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. Learn how in Automate the Boring Stuff with Python.

Note: the programs in this book are written to run on Python 3. If you’ve ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. Even if you’ve never written a line of code, you can make your computer do the grunt work. Once you’ve mastered the basics of programming, move, and encrypt pdfs–send reminder emails and text notifications–fill out online formsstep-by-step instructions walk you through each program, 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, and rename files and folders–Search the Web and download online content–Update and format data in Excel spreadsheets of any size–Split, watermark, merge, update, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks.

Automate the Boring Stuff with Python: Practical Programming for Total Beginners - Don’t spend your time doing work a well-trained monkey could do.





Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

O'Reilly Media - You’ll learn the latest versions of pandas, IPython, NumPy, and Jupyter in the process. Written by wes mckinney, this book is a practical, the creator of the Python pandas project, 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.

Get complete instructions for manipulating, cleaning, processing, 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. Data files and related material are available on GitHub.

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython - Use the ipython shell and jupyter notebook for exploratory computinglearn basic and advanced features in NumPy Numerical PythonGet started with data analysis tools in the pandas libraryUse flexible tools to load, merge, and summarize datasetsAnalyze and manipulate regular and irregular time series dataLearn how to solve real-world data analysis problems with thorough, clean, transform, and reshape dataCreate informative visualizations with matplotlibApply the pandas groupby facility to slice, dice, detailed examples.





Think Python: How to Think Like a Computer Scientist

O'Reilly Media - Beginners just getting their feet wet will learn how to start with Python in a browser. Start with the basics, and object-oriented programminguse debugging techniques to fix syntax, and semantic errorsExplore interface design, variables, statements, data structures, functions, methods, including language syntax and semanticsGet a clear definition of each programming conceptLearn about values, runtime, and data structures in a logical progressionDiscover how to work with files and databasesUnderstand objects, and GUI-based programs through case studies .

This hands-on guide takes you through the language a step at a time, data structures, beginning with basic programming concepts before moving on to functions, recursion, and object-oriented design. If you want to learn how to program, working with Python is an excellent way to start. This second edition and its supporting code have been updated for Python 3.

Think Python: How to Think Like a Computer Scientist - 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, home-schooled students, as well as self-learners, and professionals who need to learn programming basics.





Python Data Science Handbook: Essential Tools for Working with Data

O'Reilly Media - 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 PythonNumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in PythonPandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in PythonMatplotlib: includes capabilities for a flexible range of data visualizations in PythonScikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms.

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, Scikit-Learn, Pandas, NumPy, Matplotlib, 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.

Python Data Science Handbook: Essential Tools for Working with Data - For many researchers, manipulating, Python is a first-class tool mainly because of its libraries for storing, and gaining insight from data.