Python One Liners

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• Author : Christian Mayer
• Publisher : No Starch Press
• File Size : 13,7 Mb
• Release Date : 2020-05-12
• Total pages : 216
• ISBN : 9781718500518
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Download Python One-Liners in PDF, Epub, and Kindle

Python programmers will improve their computer science skills with these useful one-liners. Python One-Liners will teach you how to read and write "one-liners": concise statements of useful functionality packed into a single line of code. You'll learn how to systematically unpack and understand any line of Python code, and write eloquent, powerfully compressed Python like an expert. The book's five chapters cover tips and tricks, regular expressions, machine learning, core data science topics, and useful algorithms. Detailed explanations of one-liners introduce key computer science concepts and boost your coding and analytical skills. You'll learn about advanced Python features such as list comprehension, slicing, lambda functions, regular expressions, map and reduce functions, and slice assignments. You'll also learn how to: • Leverage data structures to solve real-world problems, like using Boolean indexing to find cities with above-average pollution • Use NumPy basics such as array, shape, axis, type, broadcasting, advanced indexing, slicing, sorting, searching, aggregating, and statistics • Calculate basic statistics of multidimensional data arrays and the K-Means algorithms for unsupervised learning • Create more advanced regular expressions using grouping and named groups, negative lookaheads, escaped characters, whitespaces, character sets (and negative characters sets), and greedy/nongreedy operators • Understand a wide range of computer science topics, including anagrams, palindromes, supersets, permutations, factorials, prime numbers, Fibonacci numbers, obfuscation, searching, and algorithmic sorting By the end of the book, you'll know how to write Python at its most refined, and create concise, beautiful pieces of "Python art" in merely a single line.

• Author : Christian Mayer
• Publisher : No Starch Press
• File Size : 29,7 Mb
• Release Date : 2020-06-02
• Total pages : 217
• ISBN : 9781718500501
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Download Python One-Liners in PDF, Epub, and Kindle

Python programmers will improve their computer science skills with these useful one-liners. Python One-Liners will teach you how to read and write "one-liners": concise statements of useful functionality packed into a single line of code. You'll learn how to systematically unpack and understand any line of Python code, and write eloquent, powerfully compressed Python like an expert. The book's five chapters cover tips and tricks, regular expressions, machine learning, core data science topics, and useful algorithms. Detailed explanations of one-liners introduce key computer science concepts and boost your coding and analytical skills. You'll learn about advanced Python features such as list comprehension, slicing, lambda functions, regular expressions, map and reduce functions, and slice assignments. You'll also learn how to: Leverage data structures to solve real-world problems, like using Boolean indexing to find cities with above-average pollution Use NumPy basics such as array, shape, axis, type, broadcasting, advanced indexing, slicing, sorting, searching, aggregating, and statistics Calculate basic statistics of multidimensional data arrays and the K-Means algorithms for unsupervised learning Create more advanced regular expressions using grouping and named groups, negative lookaheads, escaped characters, whitespaces, character sets (and negative characters sets), and greedy/nongreedy operators Understand a wide range of computer science topics, including anagrams, palindromes, supersets, permutations, factorials, prime numbers, Fibonacci numbers, obfuscation, searching, and algorithmic sorting By the end of the book, you'll know how to write Python at its most refined, and create concise, beautiful pieces of "Python art" in merely a single line.

• Author : Peteris Krumins
• Publisher : No Starch Press
• File Size : 51,8 Mb
• Release Date : 2013-11-13
• Total pages : 172
• ISBN : 9781593275204
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Download Perl One-Liners in PDF, Epub, and Kindle

Part of the fun of programming in Perl lies in tackling tedious tasks with short, efficient, and reusable code. Often, the perfect tool is the one-liner, a small but powerful program that fits in one line of code and does one thing really well. In Perl One-Liners, author and impatient hacker Peteris Krumins takes you through more than 100 compelling one-liners that do all sorts of handy things, such as manipulate line spacing, tally column values in a table, and get a list of users on a system. This cookbook of useful, customizable, and fun scripts will even help hone your Perl coding skills, as Krumins dissects the code to give you a deeper understanding of the language. You'll find one-liners that: * Encode, decode, and convert strings * Generate random passwords * Calculate sums, factorials, and the mathematical constants π and e * Add or remove spaces * Number lines in a file * Print lines that match a specific pattern * Check to see if a number is prime with a regular expression * Convert IP address to decimal form * Replace one string with another And many more! Save time and sharpen your coding skills as you learn to conquer those pesky tasks in a few precisely placed keystrokes with Perl One-Liners.

• Author : Lee Vaughan
• Publisher : No Starch Press
• File Size : 43,6 Mb
• Release Date : 2018-11-27
• Total pages : 424
• ISBN : 9781593278915
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Download Impractical Python Projects in PDF, Epub, and Kindle

Impractical Python Projects is a collection of fun and educational projects designed to entertain programmers while enhancing their Python skills. It picks up where the complete beginner books leave off, expanding on existing concepts and introducing new tools that you'll use every day. And to keep things interesting, each project includes a zany twist featuring historical incidents, pop culture references, and literary allusions. You'll flex your problem-solving skills and employ Python's many useful libraries to do things like: - Help James Bond crack a high-tech safe with a hill-climbing algorithm - Write haiku poems using Markov Chain Analysis - Use genetic algorithms to breed a race of gigantic rats - Crack the world's most successful military cipher using cryptanalysis - Derive the anagram, "I am Lord Voldemort" using linguistical sieves - Plan your parents' secure retirement with Monte Carlo simulation - Save the sorceress Zatanna from a stabby death using palingrams - Model the Milky Way and calculate our odds of detecting alien civilizations - Help the world's smartest woman win the Monty Hall problem argument - Reveal Jupiter's Great Red Spot using optical stacking - Save the head of Mary, Queen of Scots with steganography - Foil corporate security with invisible electronic ink Simulate volcanoes, map Mars, and more, all while gaining valuable experience using free modules like Tkinter, matplotlib, Cprofile, Pylint, Pygame, Pillow, and Python-Docx. Whether you're looking to pick up some new Python skills or just need a pick-me-up, you'll find endless educational, geeky fun with Impractical Python Projects.

• Author : Christian Mayer
• Publisher : No Starch Press
• File Size : 25,9 Mb
• Release Date : 2022-08-02
• Total pages : 177
• ISBN : 9781718502185
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Download The Art of Clean Code in PDF, Epub, and Kindle

Learn eight principles to simplify your code and become a more effective (and successful) programmer. Most software developers waste thousands of hours working with overly complex code. The eight core principles in The Art of Clean Coding will teach you how to write clear, maintainable code without compromising functionality. The book’s guiding principle is simplicity: reduce and simplify, then reinvest energy in the important parts to save you countless hours and ease the often onerous task of code maintenance. Bestselling author Christian Mayer leverages his experience helping thousands perfect their coding skills in this new book. With expert advice and real-world examples, he’ll show you how to: Concentrate on the important stuff with the 80/20 principle -- focus on the 20% of your code that matters most Avoid coding in isolation: create a minimum viable product to get early feedback Write code cleanly and simply to eliminate clutter Avoid premature optimization that risks over-complicating code Balance your goals, capacity, and feedback to achieve the productive state of Flow Apply the Do One Thing Well philosophy to vastly improve functionality Design efficient user interfaces with the Less is More principle Tie your new skills together into one unifying principle: Focus The Python-based The Art of Clean Coding is suitable for programmers at any level, with ideas presented in a language-agnostic manner.

• Author : Jeroen Janssens
• Publisher : "O'Reilly Media, Inc."
• File Size : 37,6 Mb
• Release Date : 2014-09-25
• Total pages : 251
• ISBN : 9781491947807
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Download Data Science at the Command Line in PDF, Epub, and Kindle

This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data. To get you started—whether you’re on Windows, OS X, or Linux—author Jeroen Janssens introduces the Data Science Toolbox, an easy-to-install virtual environment packed with over 80 command-line tools. Discover why the command line is an agile, scalable, and extensible technology. Even if you’re already comfortable processing data with, say, Python or R, you’ll greatly improve your data science workflow by also leveraging the power of the command line. Obtain data from websites, APIs, databases, and spreadsheets Perform scrub operations on plain text, CSV, HTML/XML, and JSON Explore data, compute descriptive statistics, and create visualizations Manage your data science workflow using Drake Create reusable tools from one-liners and existing Python or R code Parallelize and distribute data-intensive pipelines using GNU Parallel Model data with dimensionality reduction, clustering, regression, and classification algorithms

• Author : Joakim Sundnes
• Publisher : Unknown
• File Size : 10,7 Mb
• Release Date : 2020
• Total pages : 157
• ISBN : 9783030503567
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Download Introduction to Scientific Programming with Python in PDF, Epub, and Kindle

This open access book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming. The book uses relevant examples from mathematics and the natural sciences to present programming as a practical toolbox that can quickly enable readers to write their own programs for data processing and mathematical modeling. These tools include file reading, plotting, simple text analysis, and using NumPy for numerical computations, which are fundamental building blocks of all programs in data science and computational science. At the same time, readers are introduced to the fundamental concepts of programming, including variables, functions, loops, classes, and object-oriented programming. Accordingly, the book provides a sound basis for further computer science and programming studies.

• Author : Lee Vaughan
• Publisher : No Starch Press
• File Size : 32,8 Mb
• Release Date : 2020-11-10
• Total pages : 361
• ISBN : 9781718500631
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Download Real-World Python in PDF, Epub, and Kindle

A project-based approach to learning Python programming for beginners. Intriguing projects teach you how to tackle challenging problems with code. You've mastered the basics. Now you're ready to explore some of Python's more powerful tools. Real-World Python will show you how. Through a series of hands-on projects, you'll investigate and solve real-world problems using sophisticated computer vision, machine learning, data analysis, and language processing tools. You'll be introduced to important modules like OpenCV, NumPy, Pandas, NLTK, Bokeh, Beautiful Soup, Requests, HoloViews, Tkinter, turtle, matplotlib, and more. You'll create complete, working programs and think through intriguing projects that show you how to: Save shipwrecked sailors with an algorithm designed to prove the existence of God Detect asteroids and comets moving against a starfield Program a sentry gun to shoot your enemies and spare your friends Select landing sites for a Mars probe using real NASA maps Send unbreakable messages based on a book code Survive a zombie outbreak using data science Discover exoplanets and alien megastructures orbiting distant stars Test the hypothesis that we're all living in a computer simulation And more! If you're tired of learning the bare essentials of Python Programming with isolated snippets of code, you'll relish the relevant and geeky fun of Real-World Python!

• Author : Randal Schwartz,brian foy,Tom Phoenix
• Publisher : "O'Reilly Media, Inc."
• File Size : 55,8 Mb
• Release Date : 2011-06-23
• Total pages : 389
• ISBN : 9781449303587
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Download Learning Perl in PDF, Epub, and Kindle

Shows how to write, debug, and run a Perl program, describes CGI scripting and data manipulation, and describes scalar values, basic operators, and associative arrays.

• Author : Jeroen Janssens
• Publisher : "O'Reilly Media, Inc."
• File Size : 49,7 Mb
• Release Date : 2021-08-17
• Total pages : 283
• ISBN : 9781492087885
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Download Data Science at the Command Line in PDF, Epub, and Kindle

This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author Jeroen Janssens provides a Docker image packed with over 80 tools--useful whether you work with Windows, macOS, or Linux. You'll quickly discover why the command line is an agile, scalable, and extensible technology. Even if you're comfortable processing data with Python or R, you'll learn how to greatly improve your data science workflow by leveraging the command line's power. This book is ideal for data scientists, analysts, and engineers; software and machine learning engineers; and system administrators. Obtain data from websites, APIs, databases, and spreadsheets Perform scrub operations on text, CSV, HTM, XML, and JSON files Explore data, compute descriptive statistics, and create visualizations Manage your data science workflow Create reusable command-line tools from one-liners and existing Python or R code Parallelize and distribute data-intensive pipelines Model data with dimensionality reduction, clustering, regression, and classification algorithms

• Author : Cristina Videira Lopes
• Publisher : CRC Press
• File Size : 48,9 Mb
• Release Date : 2020-08-30
• Total pages : 395
• ISBN : 9781000165357
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Download Exercises in Programming Style in PDF, Epub, and Kindle

Using a simple computational task (term frequency) to illustrate different programming styles, Exercises in Programming Style helps readers understand the various ways of writing programs and designing systems. It is designed to be used in conjunction with code provided on an online repository. The book complements and explains the raw code in a way that is accessible to anyone who regularly practices the art of programming. The first edition was honored as an ACM Notable Book and praised as "The best programming book of the decade." This new edition will retain the same presentation, but the entire book will be upgraded to Python 3, and a new section will be added on neural network styles. The book contains 33 different styles for writing the term frequency task. The styles are grouped into nine categories: historical, basic, function composition, objects and object interactions, reflection and metaprogramming, adversity, data-centric, concurrency, and interactivity. The author verbalizes the constraints in each style and explains the example programs. Each chapter first presents the constraints of the style, next shows an example program, and then gives a detailed explanation of the code. Most chapters also have sections focusing on the use of the style in systems design as well as sections describing the historical context in which the programming style emerged.

• Author : Manish Jain
• Publisher : Apress
• File Size : 22,7 Mb
• Release Date : 2018-08-10
• Total pages : 431
• ISBN : 9781484235287
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Download Beginning Modern Unix in PDF, Epub, and Kindle

Discover how to leverage modern Unix even if you’ve never worked with Unix before. This book presents everything in conceptual terms that you can understand, rather than tips to be committed raw to memory. You will learn everyday tasks ranging from basic system administration—partitioning and mounting filesystems, software installation, network configuration, working from the command line) — to Bourne shell scripting, using graphical applications, as well as fanciful things such as emulation layers for Windows and Linux and virtualization with VirtualBox. It’s now 50 years since the creation of Unix but it is still growing. As Unix now moves to everyone's OS (open-source FreeBSD/Linux), it is the perfect time to start your journey with Beginning Modern Unix as your guide. What You'll Learn Live comfortably in a modern Unix environment, both on the command-line and in the graphical world. Choose the right hardware for Unix Work with Unix in real world settings Develop Unix applications Review advanced techniques in Shell scripting Who This Book Is For Everyone who uses a computer – those who intend to migrate to Unix as well as those who are worried about migrating to Unix, perhaps fearing it is a pure command-line or ‘difficult’ world.

• Author : Ned Sherrin
• Publisher : Oxford University Press
• File Size : 29,7 Mb
• Release Date : 2008-09-25
• Total pages : 574
• ISBN : 9780199237166
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Download Oxford Dictionary of Humorous Quotations in PDF, Epub, and Kindle

This hilarious collection of humorous quotations, full of wisecracks and wit, snappy comments and inspired fantasy, has been specially compiled by the late broadcaster and raconteur Ned Sherrin, with a foreword by leading British satirist, Alistair Beaton. Now packed with even more quotes and covering more subjects than before, from Weddings to the Supernatural, Australia to Headlines. Find the best lines from your favourite jokesters and wordsmiths, add that extra something to a speech or presentation, or just enjoy a good laugh. 'A chair is a piece of furniture. I am not a chair because no one has ever sat on me.' Ann Widdecombe on the announcement that Parliamentary language will now be gender-neutral. 'No wonder Bob Geldof is such an expert on famine. He's been feeding off 'I don't like Mondays' for 30 years.' Russell Brand On deciding to run for governor of California: 'The most difficult decision I've ever made in my entire life, except for the one in 1978 when I decided to get a bikini wax.' Arnold Schwarzenegger 'Wanting to know an author because you like his work is like wanting to know a duck because you like p--acirc--;t--eacute--;.' Margaret Atwood 'I am so sorry. We have to stop there. I have just come to the end of my personality.' Quentin Crisp, closing down an interview

• Author : Jake VanderPlas
• Publisher : "O'Reilly Media, Inc."
• File Size : 53,6 Mb
• Release Date : 2016-11-21
• Total pages : 743
• ISBN : 9781491912133
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Download Python Data Science Handbook in PDF, Epub, and Kindle

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. 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, NumPy, Pandas, Matplotlib, Scikit-Learn, 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. 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 Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

• Author : Zander Brumbaugh
• Publisher : Packt Publishing Ltd
• File Size : 9,7 Mb
• Release Date : 2021-01-08
• Total pages : 238
• ISBN : 9781800566361
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Download Coding Roblox Games Made Easy in PDF, Epub, and Kindle

Publisher's note: This edition from 2021 is outdated and does not make use of the most recent Roblox features and Luau programming scenarios. A new second edition, updated for Roblox, Luau scripting from scratch, 2 end-to-end games, and a bonus chapter on 50 cool things to do on Roblox has now been published. Get up and running with Roblox development with the help of expert guidance for working with Roblox components and Lua programmingKey FeaturesDiscover solutions to common problems faced while creating games on RobloxExplore tips, tricks, and best practices and learn advanced Roblox coding techniques to create gamesUnderstand how to program in the Roblox Lua language, add engaging effects, add a variety of functionalities, and much moreBook Description Roblox is a global virtual platform like no other for both playing and creating games. With well over 150 million monthly active users, Roblox hosts all genres of games that can be played by other members of the community using the Lua programming language. Not only can you create games for free, but you can also earn considerable sums of money if from the success of your games, and become part of the vast and supportive developer circle that provides excellent opportunities for networking in a tight-knit community. With this practical book, you'll get hands-on experience working on the Roblox platform. You'll start with an overview of Roblox development and then understand how to use Roblox Studio. As you progress, you'll gradually learn everything you need from how to program in Roblox Lua to creating Obby and Battle Royale games. Finally, you'll delve into the logistics of game production, focusing on optimizing the performance of your game by implementing impressive mechanics, monetization, and marketing practices. By the end of this Roblox book, you'll be able to lead or work with a team to bring your gaming world to life, and extend that experience to players around the world. What you will learnGet started with Roblox development and explore aspects such as choosing a developer typeUnderstand how to use Roblox Studio and other free resourcesCreate your first game with the Roblox Lua programming languageBecome well-versed with the three Ms - Mechanics, Monetization, and MarketingDevelop real-world games such as Battle Royale and ObbyDiscover expert tips for collaborating effectively and managing project workloadsWho this book is for This Roblox guide is for anyone interested in learning how to develop games on the Roblox platform. If you're already familiar with Roblox and looking for tips, tricks, and Roblox and Lua best practices for efficient development, you'll find this book helpful. The book requires no prior knowledge of game development.