Python for Geeks

Python for Geeks PDF Author: Muhammad Asif
Publisher: Packt Publishing Ltd
ISBN: 180107335X
Category : Computers
Languages : en
Pages : 546

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Book Description
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.

Music for Geeks and Nerds

Music for Geeks and Nerds PDF Author: Pedro Kroger
Publisher: CreateSpace
ISBN: 9781478345381
Category : Music
Languages : en
Pages : 0

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Book Description
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.

Dive Into Python

Dive Into Python PDF Author: Mark Pilgrim
Publisher: Apress
ISBN: 1430207000
Category : Computers
Languages : en
Pages : 419

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Book Description
* 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.

Data Structures and Algorithms in Python

Data Structures and Algorithms in Python PDF Author: Michael T. Goodrich
Publisher: Wiley Global Education
ISBN: 1118476735
Category : Computers
Languages : en
Pages : 770

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Book Description
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.

Think Python

Think Python PDF Author: Allen B. Downey
Publisher: "O'Reilly Media, Inc."
ISBN: 1491939419
Category : Computers
Languages : en
Pages : 309

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Book Description
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

Learn to Program with Minecraft

Learn to Program with Minecraft PDF Author: Craig Richardson
Publisher: No Starch Press
ISBN: 1593277458
Category : Computers
Languages : en
Pages : 336

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Book Description
You’ve bested creepers, traveled deep into caves, and maybe even gone to The End and back—but have you ever transformed a sword into a magic wand? Built a palace in the blink of an eye? Designed your own color-changing disco dance floor? In Learn to Program with Minecraft®, you’ll do all this and more with the power of Python, a free language used by millions of professional and first-time programmers! Begin with some short, simple Python lessons and then use your new skills to modify Minecraft to produce instant and totally awesome results. Learn how to customize Minecraft to make mini-games, duplicate entire buildings, and turn boring blocks into gold. You’ll also write programs that: –Take you on an automated teleportation tour around your Minecraft world –Build massive monuments, pyramids, forests, and more in a snap! –Make secret passageways that open when you activate a hidden switch –Create a spooky ghost town that vanishes and reappears elsewhere –Show exactly where to dig for rare blocks –Cast a spell so that a cascade of flowers (or dynamite if you’re daring!) follows your every move –Make mischief with dastardly lava traps and watery curses that cause huge floods Whether you’re a Minecraft megafan or a newbie, you’ll see Minecraft in a whole new light while learning the basics of programming. Sure, you could spend all day mining for precious resources or building your mansion by hand, but with the power of Python, those days are over! Requires: Windows 7 or later; OS X 10.10 or later; or a Raspberry Pi. Uses Python 3

Mac OS X for Unix Geeks

Mac OS X for Unix Geeks PDF Author: Brian Jepson
Publisher: "O'Reilly Media, Inc."
ISBN: 0596003560
Category : Computers
Languages : en
Pages : 219

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Book Description
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.

Python Tutorial 3.11.3

Python Tutorial 3.11.3 PDF Author: Guido Van Rossum
Publisher:
ISBN: 9781312571655
Category :
Languages : en
Pages : 0

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Book Description


Hardware Hacking Projects for Geeks

Hardware Hacking Projects for Geeks PDF Author: Scott Fullam
Publisher: "O'Reilly Media, Inc."
ISBN: 0596003145
Category : Computers
Languages : en
Pages : 348

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Book Description
A collection of unusual projects for computer hardware geeks of all ages explains how to create such projects as a personal Lojack system, Web-enabled coffee machine, cubicle intrusion detection systems, and a laptop battery extender.

High Performance Python

High Performance Python PDF Author: Micha Gorelick
Publisher: O'Reilly Media
ISBN: 1492054992
Category : Computers
Languages : en
Pages : 469

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Book Description
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