Python For Geeks

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.

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.

Based on the authors’ market leading data structures books in Java and C++, this textbook 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 the Python data structures course. 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++.

* 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.

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

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.

So, you're one of the many, the proud... the Unix geeks who've "switched" to Mac OS X. Although hacking code on the Mac is the same as hacking code on other Unix systems, you're bound to run into some problems because of the subtle differences between the Unix you're accustomed to and how things are done in Mac OS X 10.2 (Jaguar). Mac OS X for Unix Geeks was written by two long-time Unix users who've found themselves exactly where you are. It cuts through the chaff and gets right to the point on such topics as : • Using the Terminal and understanding how it differs from an xterm • Using Directory Services, Open Directory (LDAP), and NetInfo • Compiling code with GCC 3 • Library linking and porting Unix software • Creating and installing packages with Fink • Building the Darwin kernel • Running X Windows on top of Mac OS X This quick and dirty guide continues with an overview of Mac OS X's filesystem and startup processes, wrapping up with a handy reference section called the "Missing Manpages", covering Mac OS X commandline utilities not in the official documentation. Mac OS X is quickly becoming the platform of choice for Unix hackers and geeks, because it gives you what Tim O'Reilly refers to as "guilt-free computing"- a Unix system that you don't have to share with Windows. If you proudly wear the badge "Unix Geek", this book is your guide to demystifying the geekier side of Mac OS X.

THE GEEKS HAVE INHERITED THE EARTH. 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.