Python For Geeks
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| Author | : Muhammad Asif |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 546 |
| Release | : 2021-10-20 |
| Genre | : Computers |
| ISBN | : 180107335X |
Take your Python skills to the next level to develop scalable, real-world applications for local as well as cloud deployment Key FeaturesAll code examples have been tested with Python 3.7 and Python 3.8 and are expected to work with any future 3.x releaseLearn how to build modular and object-oriented applications in PythonDiscover how to use advanced Python techniques for the cloud and clustersBook Description Python is a multipurpose language that can be used for multiple use cases. Python for Geeks will teach you how to advance in your career with the help of expert tips and tricks. You'll start by exploring the different ways of using Python optimally, both from the design and implementation point of view. Next, you'll understand the life cycle of a large-scale Python project. As you advance, you'll focus on different ways of creating an elegant design by modularizing a Python project and learn best practices and design patterns for using Python. You'll also discover how to scale out Python beyond a single thread and how to implement multiprocessing and multithreading in Python. In addition to this, you'll understand how you can not only use Python to deploy on a single machine but also use clusters in private as well as in public cloud computing environments. You'll then explore data processing techniques, focus on reusable, scalable data pipelines, and learn how to use these advanced techniques for network automation, serverless functions, and machine learning. Finally, you'll focus on strategizing web development design using the techniques and best practices covered in the book. By the end of this Python book, you'll be able to do some serious Python programming for large-scale complex projects. What you will learnUnderstand how to design and manage complex Python projectsStrategize test-driven development (TDD) in PythonExplore multithreading and multiprogramming in PythonUse Python for data processing with Apache Spark and Google Cloud Platform (GCP)Deploy serverless programs on public clouds such as GCPUse Python to build web applications and application programming interfacesApply Python for network automation and serverless functionsGet to grips with Python for data analysis and machine learningWho this book is for This book is for intermediate-level Python developers in any field who are looking to build their skills to develop and manage large-scale complex projects. Developers who want to create reusable modules and Python libraries and cloud developers building applications for cloud deployment will also find this book useful. Prior experience with Python will help you get the most out of this book.
| Author | : Michael T. Goodrich |
| Publisher | : Wiley Global Education |
| Total Pages | : 770 |
| Release | : 2013-06-17 |
| Genre | : Computers |
| ISBN | : 1118476735 |
Based on the authors' market leading data structures books in Java and C++, this book offers a comprehensive, definitive introduction to data structures in Python by authoritative authors. Data Structures and Algorithms in Python is the first authoritative object-oriented book available for Python data structures. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and Algorithms in C++. Begins by discussing Python's conceptually simple syntax, which allows for a greater focus on concepts. Employs a consistent object-oriented viewpoint throughout the text. Presents each data structure using ADTs and their respective implementations and introduces important design patterns as a means to organize those implementations into classes, methods, and objects. Provides a thorough discussion on the analysis and design of fundamental data structures. Includes many helpful Python code examples, with source code provided on the website. Uses illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner. Provides hundreds of exercises that promote creativity, help readers learn how to think like programmers, and reinforce important concepts. Contains many Python-code and pseudo-code fragments, and hundreds of exercises, which are divided into roughly 40% reinforcement exercises, 40% creativity exercises, and 20% programming projects.
| Author | : Mark Pilgrim |
| Publisher | : Apress |
| Total Pages | : 419 |
| Release | : 2004-07-12 |
| Genre | : Computers |
| ISBN | : 1430207000 |
* Quick start to learning python—very example oriented approach * Book has its own Web site established by the author: http://diveintopython.org/ Author is well known in the Open Source community and the book has a unique quick approach to learning an object oriented language.
| Author | : Lin Quan |
| Publisher | : Lin Quan |
| Total Pages | : 164 |
| Release | : 2014-02-07 |
| Genre | : Computers |
| ISBN | : |
Must Have for Google Aspirants !!! This book is written for helping people prepare for Google Coding Interview. It contains top 20 programming problems frequently asked @Google with detailed worked-out solutions both in pseudo-code and C++(and C++11). Matching Nuts and Bolts OptimallySearching two-dimensional sorted arrayLowest Common Ancestor(LCA) ProblemMax Sub-Array ProblemCompute Next Higher Number2D Binary SearchString Edit DistanceSearching in Two Dimensional SequenceSelect Kth Smallest ElementSearching in Possibly Empty Two Dimensional SequenceThe Celebrity ProblemSwitch and Bulb ProblemInterpolation SearchThe Majority ProblemThe Plateau ProblemSegment ProblemsEfficient PermutationThe Non-Crooks ProblemMedian Search ProblemMissing Integer Problem
| Author | : Guido Van Rossum |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2023-05-12 |
| Genre | : |
| ISBN | : 9781312571655 |
| Author | : Pedro Kroger |
| Publisher | : CreateSpace |
| Total Pages | : 0 |
| Release | : 2012-08 |
| Genre | : Music |
| ISBN | : 9781478345381 |
Are you interested in learning more about music but have found most material condescending or to present things magically instead of logically? The good news is that much of music can be understood with programming and math, two things you're already good at! In this book you'll learn some elements of music from a programmer's perspective. You'll learn about the primitives of music such as notes and duration, the means of combining those primitives into motives and chords, operations such as transposition, retrograde, and inversion, and the means of abstraction (phrases and form) using Python and some basic math. Every concept in this book is explained in English with a corresponding implementation in Python, using the Pyknon music library.
| Author | : Allen B. Downey |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 309 |
| Release | : 2015-12-02 |
| Genre | : Computers |
| ISBN | : 1491939419 |
If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. This second edition and its supporting code have been updated for Python 3. Through exercises in each chapter, youâ??ll try out programming concepts as you learn them. Think Python is ideal for students at the high school or college level, as well as self-learners, home-schooled students, and professionals who need to learn programming basics. Beginners just getting their feet wet will learn how to start with Python in a browser. Start with the basics, including language syntax and semantics Get a clear definition of each programming concept Learn about values, variables, statements, functions, and data structures in a logical progression Discover how to work with files and databases Understand objects, methods, and object-oriented programming Use debugging techniques to fix syntax, runtime, and semantic errors Explore interface design, data structures, and GUI-based programs through case studies
| Author | : John Paul Mueller |
| Publisher | : John Wiley & Sons |
| Total Pages | : 422 |
| Release | : 2018-02-13 |
| Genre | : Computers |
| ISBN | : 1119457890 |
The easy way to learn programming fundamentals with Python Python is a remarkably powerful and dynamic programming language that's used in a wide variety of application domains. Some of its key distinguishing features include a very clear, readable syntax, strong introspection capabilities, intuitive object orientation, and natural expression of procedural code. Plus, Python features full modularity, supporting hierarchical packages, exception-based error handling, and modules easily written in C, C++, Java, R, or .NET languages, such as C#. In addition, Python supports a number of coding styles that include: functional, imperative, object-oriented, and procedural. Due to its ease of use and flexibility, Python is constantly growing in popularity—and now you can wear your programming hat with pride and join the ranks of the pros with the help of this guide. Inside, expert author John Paul Mueller gives a complete step-by-step overview of all there is to know about Python. From performing common and advanced tasks, to collecting data, to interacting with package—this book covers it all! Use Python to create and run your first application Find out how to troubleshoot and fix errors Learn to work with Anaconda and use Magic Functions Benefit from completely updated and revised information since the last edition If you've never used Python or are new to programming in general, Beginning Programming with Python For Dummies is a helpful resource that will set you up for success.
| Author | : Micha Gorelick |
| Publisher | : O'Reilly Media |
| Total Pages | : 469 |
| Release | : 2020-04-30 |
| Genre | : Computers |
| ISBN | : 1492054992 |
Your Python code may run correctly, but you need it to run faster. Updated for Python 3, this expanded edition shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By exploring the fundamental theory behind design choices, High Performance Python helps you gain a deeper understanding of Python’s implementation. How do you take advantage of multicore architectures or clusters? Or build a system that scales up and down without losing reliability? Experienced Python programmers will learn concrete solutions to many issues, along with war stories from companies that use high-performance Python for social media analytics, productionized machine learning, and more. Get a better grasp of NumPy, Cython, and profilers Learn how Python abstracts the underlying computer architecture Use profiling to find bottlenecks in CPU time and memory usage Write efficient programs by choosing appropriate data structures Speed up matrix and vector computations Use tools to compile Python down to machine code Manage multiple I/O and computational operations concurrently Convert multiprocessing code to run on local or remote clusters Deploy code faster using tools like Docker
| Author | : N. K. Jemisin |
| Publisher | : Quirk Books |
| Total Pages | : 229 |
| Release | : 2011-08-02 |
| Genre | : Humor |
| ISBN | : 1594745307 |
The essential companion for the geek era: a fusion of inspirational quotes, philosophy, and pop culture drawn from the entire cult-classic canon of film, TV, books, comics, and science. Celebrate nerd culture by taking a page out of your all-time favorites, like Star Wars and Star Trek, The Lord of the Rings and Dune—and much more! Computer nerds are our titans of industry; comic-book superheroes are our Hollywood idols; the Internet is our night on the town. Clearly, geeks know something about life in the 21st century that other folks don’t—something we all can learn from. Geek Wisdom takes as gospel some 200 of the most powerful and oft-cited quotes from movies (“Where we’re going, we don’t need roads”), television (“Now we know—and knowing is half the battle”), literature (“All that is gold does not glitter”), games, science, the Internet, and more. Now these beloved pearls of modern-day culture have been painstakingly interpreted by a diverse team of hardcore nerds with their imaginations turned up to 11. Yes, this collection of mini-essays is by, for, and about geeks—but it’s just so surprisingly profound, the rest of us would have to be dorks not to read it. So say we all.
