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Powerful Python (Alt Cover)

Author : Aaron Maxwell
Publisher :
ISBN 13 : 9781546611417
Total Pages : 220 pages
Book Rating : 4.6/5 (114 download)

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Book Synopsis Powerful Python (Alt Cover) by : Aaron Maxwell

Download or read book Powerful Python (Alt Cover) written by Aaron Maxwell and published by . This book was released on 2017-05-11 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: (Note: This is identical to the normal Powerful Python title, except with a different cover.) There are many books for those new to Python, new to programming,or both. Powerful Python is different. Written for experienceddevelopers like you, its carefully crafted chapters teach intermediateand advanced strategies, patterns, and tools for modernPython. Focused on Python 3, with full support for 2.7. "Feels like Neo learning Jiu jitsu in the Matrix." - John Beauford (@johnbeauford) "I just wanted to let you know what an excellent book this is... Ikeep going back to your book to learn Python." - Fahad Qazi, London, UK "Thanks. Keep up the good work. Your chapter on decorators is thebest I have seen on that topic." - Leon Tietz, Minnesota, USA "Powerful Python is already helping me get huge optimizationgains." - Timothy Dobbins (@TmthyDobbins) "What have I found good and valuable about the book so far?Everything honestly. The clear explanations, solid code examples havereally helped me advance as a Python coder... Thank you! It has reallyhelped me grasp some advanced concepts that I felt were beyond myabilities." - Nick S., Colorado, USA For data scientists, back-end engineers, web developers, sysadmins,devops, QA testers and more. What's included: An unrelenting selective spotlight on what'smost valuable and impactful to working, full-time, professionalPython developers Well-researched, detailed, realistic code onalmost every page, powerfully illustrating key points. Verylittle "toy code" How to use decorators to add richfeatures to functions and classes;untangle distinct, frustratingly intertwinedconcerns in your code; and build powerful, extensiblesoftware frameworks How to use Python in ways that incentivizeother developers to use and re-use your code, again andagain... amplifying the impact of the code youwrite, and boosting your reputationamong your peers Powerfully and easily weave iterators and generatorsthroughout your applications, making them massivelyscalable, highly performant, and far more readable andmaintainable How to fully leverage Python's exception anderror model... giving you a detailed understanding evenexperienced Pythonistas often lack, and putting some of the mostpowerfully Pythonic exception-handling patternsin your toolbox How "magic methods" imbue natural, readable,expressive syntax into your classes and objects... andhow to "break the rules" to craft stunninglyintuitive, compellingly reusable library interfaces Valuable and powerful design patterns, andhow Python's special language features give you uniquelypowerful implementations not possible in other languages Deep and detailed instruction on how to writepractical, realistic unit tests... usingtest-driven development to easily get into a state offlow... where you find yourself implementing featureafter feature, keeping your focus with ease for long periods oftime How to rapidly set up effective logging forscripts, sprawling Python applications, and everything in between An enthusiastic and unapologetic focus on Python3, and what makes it great... with full explanationand support for getting the same results with Python 2.7 More at PowerfulPython.com.

Learning Python

Author : Mark Lutz
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 0596554494
Total Pages : 749 pages
Book Rating : 4.5/5 (965 download)

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Book Synopsis Learning Python by : Mark Lutz

Download or read book Learning Python written by Mark Lutz and published by "O'Reilly Media, Inc.". This book was released on 2007-10-22 with total page 749 pages. Available in PDF, EPUB and Kindle. Book excerpt: Portable, powerful, and a breeze to use, Python is ideal for both standalone programs and scripting applications. With this hands-on book, you can master the fundamentals of the core Python language quickly and efficiently, whether you're new to programming or just new to Python. Once you finish, you will know enough about the language to use it in any application domain you choose. Learning Python is based on material from author Mark Lutz's popular training courses, which he's taught over the past decade. Each chapter is a self-contained lesson that helps you thoroughly understand a key component of Python before you continue. Along with plenty of annotated examples, illustrations, and chapter summaries, every chapter also contains Brain Builder, a unique section with practical exercises and review quizzes that let you practice new skills and test your understanding as you go. This book covers: Types and Operations -- Python's major built-in object types in depth: numbers, lists, dictionaries, and more Statements and Syntax -- the code you type to create and process objects in Python, along with Python's general syntax model Functions -- Python's basic procedural tool for structuring and reusing code Modules -- packages of statements, functions, and other tools organized into larger components Classes and OOP -- Python's optional object-oriented programming tool for structuring code for customization and reuse Exceptions and Tools -- exception handling model and statements, plus a look at development tools for writing larger programs Learning Python gives you a deep and complete understanding of the language that will help you comprehend any application-level examples of Python that you later encounter. If you're ready to discover what Google and YouTube see in Python, this book is the best way to get started.

Scientific Computing with Python - Second Edition

Author : CLAUS. FUHRER
Publisher :
ISBN 13 : 9781838822323
Total Pages : 392 pages
Book Rating : 4.8/5 (223 download)

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Book Synopsis Scientific Computing with Python - Second Edition by : CLAUS. FUHRER

Download or read book Scientific Computing with Python - Second Edition written by CLAUS. FUHRER and published by . This book was released on 2021-07-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage this example-packed, comprehensive guide for all your Python computational needs Key Features: Learn the first steps within Python to highly specialized concepts Explore examples and code snippets taken from typical programming situations within scientific computing. Delve into essential computer science concepts like iterating, object-oriented programming, testing, and MPI presented in strong connection to applications within scientific computing. Book Description: Python has tremendous potential within the scientific computing domain. This updated edition of Scientific Computing with Python features new chapters on graphical user interfaces, efficient data processing, and parallel computing to help you perform mathematical and scientific computing efficiently using Python. This book will help you to explore new Python syntax features and create different models using scientific computing principles. The book presents Python alongside mathematical applications and demonstrates how to apply Python concepts in computing with the help of examples involving Python 3.8. You'll use pandas for basic data analysis to understand the modern needs of scientific computing, and cover data module improvements and built-in features. You'll also explore numerical computation modules such as NumPy and SciPy, which enable fast access to highly efficient numerical algorithms. By learning to use the plotting module Matplotlib, you will be able to represent your computational results in talks and publications. A special chapter is devoted to SymPy, a tool for bridging symbolic and numerical computations. By the end of this Python book, you'll have gained a solid understanding of task automation and how to implement and test mathematical algorithms within the realm of scientific computing. What You Will Learn: Understand the building blocks of computational mathematics, linear algebra, and related Python objects Use Matplotlib to create high-quality figures and graphics to draw and visualize results Apply object-oriented programming (OOP) to scientific computing in Python Discover how to use pandas to enter the world of data processing Handle exceptions for writing reliable and usable code Cover manual and automatic aspects of testing for scientific programming Get to grips with parallel computing to increase computation speed Who this book is for: This book is for students with a mathematical background, university teachers designing modern courses in programming, data scientists, researchers, developers, and anyone who wants to perform scientific computation in Python.

Beyond the Basic Stuff with Python

Author : Al Sweigart
Publisher : No Starch Press
ISBN 13 : 1593279663
Total Pages : 385 pages
Book Rating : 4.5/5 (932 download)

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Book Synopsis Beyond the Basic Stuff with Python by : Al Sweigart

Download or read book Beyond the Basic Stuff with Python written by Al Sweigart and published by No Starch Press. This book was released on 2020-12-16 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: BRIDGE THE GAP BETWEEN NOVICE AND PROFESSIONAL You've completed a basic Python programming tutorial or finished Al Sweigart's bestseller, Automate the Boring Stuff with Python. What's the next step toward becoming a capable, confident software developer? Welcome to Beyond the Basic Stuff with Python. More than a mere collection of advanced syntax and masterful tips for writing clean code, you'll learn how to advance your Python programming skills by using the command line and other professional tools like code formatters, type checkers, linters, and version control. Sweigart takes you through best practices for setting up your development environment, naming variables, and improving readability, then tackles documentation, organization and performance measurement, as well as object-oriented design and the Big-O algorithm analysis commonly used in coding interviews. The skills you learn will boost your ability to program--not just in Python but in any language. You'll learn: Coding style, and how to use Python's Black auto-formatting tool for cleaner code Common sources of bugs, and how to detect them with static analyzers How to structure the files in your code projects with the Cookiecutter template tool Functional programming techniques like lambda and higher-order functions How to profile the speed of your code with Python's built-in timeit and cProfile modules The computer science behind Big-O algorithm analysis How to make your comments and docstrings informative, and how often to write them How to create classes in object-oriented programming, and why they're used to organize code Toward the end of the book you'll read a detailed source-code breakdown of two classic command-line games, the Tower of Hanoi (a logic puzzle) and Four-in-a-Row (a two-player tile-dropping game), and a breakdown of how their code follows the book's best practices. You'll test your skills by implementing the program yourself. Of course, no single book can make you a professional software developer. But Beyond the Basic Stuff with Python will get you further down that path and make you a better programmer, as you learn to write readable code that's easy to debug and perfectly Pythonic Requirements: Covers Python 3.6 and higher

Python in a Nutshell

Author : Alex Martelli
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 9780596001889
Total Pages : 660 pages
Book Rating : 4.0/5 (18 download)

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Book Synopsis Python in a Nutshell by : Alex Martelli

Download or read book Python in a Nutshell written by Alex Martelli and published by "O'Reilly Media, Inc.". This book was released on 2003 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new title offers Python programmers one place to look when they need help remembering or deciphering the most important tools and modules of this open source language.

Python for Informatics

Author : Charles Severance
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781492339243
Total Pages : 0 pages
Book Rating : 4.3/5 (392 download)

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Book Synopsis Python for Informatics by : Charles Severance

Download or read book Python for Informatics written by Charles Severance and published by Createspace Independent Publishing Platform. This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to introduce students to programming and computational thinking through the lens of exploring data. You can think of Python as your tool to solve problems that are far beyond the capability of a spreadsheet. It is an easy-to-use and easy-to learn programming language that is freely available on Windows, Macintosh, and Linux computers. There are free downloadable copies of this book in various electronic formats and a self-paced free online course where you can explore the course materials. All the supporting materials for the book are available under open and remixable licenses at the www.py4inf.com web site. This book is designed to teach people to program even if they have no prior experience. This book covers Python 2. An updated version of this book that covers Python 3 is available and is titled, "Python for Everybody: Exploring Data in Python 3".

Robust Python

Author : Patrick Viafore
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098100638
Total Pages : 381 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Robust Python by : Patrick Viafore

Download or read book Robust Python written by Patrick Viafore and published by "O'Reilly Media, Inc.". This book was released on 2021-07-12 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Does it seem like your Python projects are getting bigger and bigger? Are you feeling the pain as your codebase expands and gets tougher to debug and maintain? Python is an easy language to learn and use, but that also means systems can quickly grow beyond comprehension. Thankfully, Python has features to help developers overcome maintainability woes. In this practical book, author Patrick Viafore shows you how to use Python's type system to the max. You'll look at user-defined types, such as classes and enums, and Python's type hinting system. You'll also learn how to make Python extensible and how to use a comprehensive testing strategy as a safety net. With these tips and techniques, you'll write clearer and more maintainable code. Learn why types are essential in modern development ecosystems Understand how type choices such as classes, dictionaries, and enums reflect specific intents Make Python extensible for the future without adding bloat Use popular Python tools to increase the safety and robustness of your codebase Evaluate current code to detect common maintainability gotchas Build a safety net around your codebase with linters and tests

Python for Finance

Author : Yves Hilpisch
Publisher : O'Reilly Media
ISBN 13 : 1492024317
Total Pages : 714 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Python for Finance by : Yves Hilpisch

Download or read book Python for Finance written by Yves Hilpisch and published by O'Reilly Media. This book was released on 2018-12-05 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks.

Robust Python

Author : Patrick Viafore
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098100611
Total Pages : 365 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Robust Python by : Patrick Viafore

Download or read book Robust Python written by Patrick Viafore and published by "O'Reilly Media, Inc.". This book was released on 2021-07-12 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: Does it seem like your Python projects are getting bigger and bigger? Are you feeling the pain as your codebase expands and gets tougher to debug and maintain? Python is an easy language to learn and use, but that also means systems can quickly grow beyond comprehension. Thankfully, Python has features to help developers overcome maintainability woes. In this practical book, author Patrick Viafore shows you how to use Python's type system to the max. You'll look at user-defined types, such as classes and enums, and Python's type hinting system. You'll also learn how to make Python extensible and how to use a comprehensive testing strategy as a safety net. With these tips and techniques, you'll write clearer and more maintainable code. Learn why types are essential in modern development ecosystems Understand how type choices such as classes, dictionaries, and enums reflect specific intents Make Python extensible for the future without adding bloat Use popular Python tools to increase the safety and robustness of your codebase Evaluate current code to detect common maintainability gotchas Build a safety net around your codebase with linters and tests

Introducing Python

Author : Bill Lubanovic
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492051322
Total Pages : 630 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Introducing Python by : Bill Lubanovic

Download or read book Introducing Python written by Bill Lubanovic and published by "O'Reilly Media, Inc.". This book was released on 2019-11-06 with total page 630 pages. Available in PDF, EPUB and Kindle. Book excerpt: Easy to understand and fun to read, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. 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. End-of-chapter exercises help you practice what you’ve learned. You’ll gain a strong foundation in the language, including best practices for testing, debugging, code reuse, and other development tips. 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.

Python for Marketing Research and Analytics

Author : Jason S. Schwarz
Publisher : Springer Nature
ISBN 13 : 3030497208
Total Pages : 272 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Python for Marketing Research and Analytics by : Jason S. Schwarz

Download or read book Python for Marketing Research and Analytics written by Jason S. Schwarz and published by Springer Nature. This book was released on 2020-11-03 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to quantitative marketing with Python. The book presents a hands-on approach to using Python for real marketing questions, organized by key topic areas. Following the Python scientific computing movement toward reproducible research, the book presents all analyses in Colab notebooks, which integrate code, figures, tables, and annotation in a single file. The code notebooks for each chapter may be copied, adapted, and reused in one's own analyses. The book also introduces the usage of machine learning predictive models using the Python sklearn package in the context of marketing research. This book is designed for three groups of readers: experienced marketing researchers who wish to learn to program in Python, coming from tools and languages such as R, SAS, or SPSS; analysts or students who already program in Python and wish to learn about marketing applications; and undergraduate or graduate marketing students with little or no programming background. It presumes only an introductory level of familiarity with formal statistics and contains a minimum of mathematics.

Python in Practice

Author : Mark Summerfield
Publisher : Pearson Education
ISBN 13 : 0321905636
Total Pages : 326 pages
Book Rating : 4.3/5 (219 download)

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Book Synopsis Python in Practice by : Mark Summerfield

Download or read book Python in Practice written by Mark Summerfield and published by Pearson Education. This book was released on 2013 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Winner of the 2014 Jolt Award for "Best Book" "Whether you are an experienced programmer or are starting your career, Python in Practice is full of valuable advice and example to help you improve your craft by thinking about problems from different perspectives, introducing tools, and detailing techniques to create more effective solutions." --Doug Hellmann, Senior Developer, DreamHost If you're an experienced Python programmer, Python in Practice will help you improve the quality, reliability, speed, maintainability, and usability of all your Python programs. Mark Summerfield focuses on four key themes: design patterns for coding elegance, faster processing through concurrency and compiled Python (Cython), high-level networking, and graphics. He identifies well-proven design patterns that are useful in Python, illuminates them with expert-quality code, and explains why some object-oriented design patterns are irrelevant to Python. He also explodes several counterproductive myths about Python programming--showing, for example, how Python can take full advantage of multicore hardware. All examples, including three complete case studies, have been tested with Python 3.3 (and, where possible, Python 3.2 and 3.1) and crafted to maintain compatibility with future Python 3.x versions. All code has been tested on Linux, and most code has also been tested on OS X and Windows. All code may be downloaded at www.qtrac.eu/pipbook.html. Coverage includes Leveraging Python's most effective creational, structural, and behavioral design patterns Supporting concurrency with Python's multiprocessing, threading, and concurrent.futures modules Avoiding concurrency problems using thread-safe queues and futures rather than fragile locks Simplifying networking with high-level modules, including xmlrpclib and RPyC Accelerating Python code with Cython, C-based Python modules, profiling, and other techniques Creating modern-looking GUI applications with Tkinter Leveraging today's powerful graphics hardware via the OpenGL API using pyglet and PyOpenGL

Learn Python 3 the Hard Way

Author : Zed A. Shaw
Publisher : Addison-Wesley Professional
ISBN 13 : 0134693906
Total Pages : 752 pages
Book Rating : 4.1/5 (346 download)

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Book Synopsis Learn Python 3 the Hard Way by : Zed A. Shaw

Download or read book Learn Python 3 the Hard Way written by Zed A. Shaw and published by Addison-Wesley Professional. This book was released on 2017-06-26 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Bioinformatics with Python Cookbook

Author : Tiago Antao
Publisher : Packt Publishing Ltd
ISBN 13 : 1783558652
Total Pages : 306 pages
Book Rating : 4.7/5 (835 download)

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Book Synopsis Bioinformatics with Python Cookbook by : Tiago Antao

Download or read book Bioinformatics with Python Cookbook written by Tiago Antao and published by Packt Publishing Ltd. This book was released on 2015-06-25 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are either a computational biologist or a Python programmer, you will probably relate to the expression "explosive growth, exciting times". Python is arguably the main programming language for big data, and the deluge of data in biology, mostly from genomics and proteomics, makes bioinformatics one of the most exciting fields in data science. Using the hands-on recipes in this book, you'll be able to do practical research and analysis in computational biology with Python. We cover modern, next-generation sequencing libraries and explore real-world examples on how to handle real data. The main focus of the book is the practical application of bioinformatics, but we also cover modern programming techniques and frameworks to deal with the ever increasing deluge of bioinformatics data.

Learning Scientific Programming with Python

Author : Christian Hill
Publisher : Cambridge University Press
ISBN 13 : 1108787460
Total Pages : 572 pages
Book Rating : 4.1/5 (87 download)

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Book Synopsis Learning Scientific Programming with Python by : Christian Hill

Download or read book Learning Scientific Programming with Python written by Christian Hill and published by Cambridge University Press. This book was released on 2020-11-12 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to master basic programming tasks from scratch with real-life, scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to gain proficiency quickly. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving on to the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualization, this textbook also discusses the use of Jupyter Notebooks to build rich-media, shareable documents for scientific analysis. The second edition features a new chapter on data analysis with the pandas library and comprehensive updates, and new exercises and examples. A final chapter introduces more advanced topics such as floating-point precision and algorithm stability, and extensive online resources support further study. This textbook represents a targeted package for students requiring a solid foundation in Python programming.

Python for Excel

Author : Felix Zumstein
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492080950
Total Pages : 366 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Python for Excel by : Felix Zumstein

Download or read book Python for Excel written by Felix Zumstein and published by "O'Reilly Media, Inc.". This book was released on 2021-03-04 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: While Excel remains ubiquitous in the business world, recent Microsoft feedback forums are full of requests to include Python as an Excel scripting language. In fact, it's the top feature requested. What makes this combination so compelling? In this hands-on guide, Felix Zumstein--creator of xlwings, a popular open source package for automating Excel with Python--shows experienced Excel users how to integrate these two worlds efficiently. Excel has added quite a few new capabilities over the past couple of years, but its automation language, VBA, stopped evolving a long time ago. Many Excel power users have already adopted Python for daily automation tasks. This guide gets you started. Use Python without extensive programming knowledge Get started with modern tools, including Jupyter notebooks and Visual Studio code Use pandas to acquire, clean, and analyze data and replace typical Excel calculations Automate tedious tasks like consolidation of Excel workbooks and production of Excel reports Use xlwings to build interactive Excel tools that use Python as a calculation engine Connect Excel to databases and CSV files and fetch data from the internet using Python code Use Python as a single tool to replace VBA, Power Query, and Power Pivot

Learning Python

Author : Mark Lutz
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 144937932X
Total Pages : 1218 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Learning Python by : Mark Lutz

Download or read book Learning Python written by Mark Lutz and published by "O'Reilly Media, Inc.". This book was released on 2009-10-06 with total page 1218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Google and YouTube use Python because it's highly adaptable, easy to maintain, and allows for rapid development. If you want to write high-quality, efficient code that's easily integrated with other languages and tools, this hands-on book will help you be productive with Python quickly -- whether you're new to programming or just new to Python. It's an easy-to-follow self-paced tutorial, based on author and Python expert Mark Lutz's popular training course. Each chapter contains a stand-alone lesson on a key component of the language, and includes a unique Test Your Knowledge section with practical exercises and quizzes, so you can practice new skills and test your understanding as you go. You'll find lots of annotated examples and illustrations to help you get started with Python 3.0. Learn about Python's major built-in object types, such as numbers, lists, and dictionaries Create and process objects using Python statements, and learn Python's general syntax model Structure and reuse code using functions, Python's basic procedural tool Learn about Python modules: packages of statements, functions, and other tools, organized into larger components Discover Python's object-oriented programming tool for structuring code Learn about the exception-handling model, and development tools for writing larger programs Explore advanced Python tools including decorators, descriptors, metaclasses, and Unicode processing