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Regex Quick Syntax Reference - Programmer Books

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This quick guide to regular expressions is a condensed code and syntax reference for an important programming technique. It demonstrates regex syntax in a well-organized format that can be used as a handy reference, showing you how to execute regexes in many languages, including JavaScript, Python, Java, and C#. The Regex Quick Syntax Reference features short, focused code examples that show you how to use regular expressions to validate user input, split strings, parse input, and match patterns. Utilizing regular expressions to deal with search/replace and filtering data for backend coding is also covered. You won't find any bloated samples, drawn-out history lessons, or witty stories in this book.


JavaScript Quick Syntax Reference - Programmer Books

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JavaScript Quick Syntax Reference is a condensed syntax reference to the JavaScript language. It presents the essentials of JavaScript in a well-organized format that can be used as a handy reference. This includes the latest ECMAScript 5, JSON (JavaScript Object Notation) and DOM (Document Object Model) specifications and implementations. You won†t find any technical jargon, bloated samples, drawn out history lessons or witty stories in this book. What you will find is a JavaScript reference that is concise, to the point and highly accessible.


Haskell Quick Syntax Reference

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This condensed code and syntax reference present the essential Haskell syntax in a well-organized format that can be used as a quick and handy reference, including applications to cloud computing and data analysis. This book covers the functional programming features of Haskell as well as strong static typing, lazy evaluation, extensive parallelism, and concurrency You won't find any technical jargon, bloated samples, drawn-out history lessons, or witty stories in this book. What you will find is a language reference that is concise, to the point, and highly accessible. The Haskell Quick Syntax Reference is packed with useful information and is a must-have for any Haskell programmer working in big data, data science, and cloud computing. Experienced programmers who may be new to Haskell or have experience with Haskell and who just want a quick reference guide on it.


50 Data Science, Machine Learning Cheat Sheets, updated 7wData

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Gear up to speed and have concepts and commands handy in Data Science, Data Mining, and Machine learning algorithms with these cheat sheets covering R, Python, Django, MySQL, SQL, Hadoop, Apache Spark, Matlab, and Java. If we missed some popular cheat sheets, add them in the comments below. Data science is a multi-disciplinary field. Thus, there are thousands of packages and hundreds of programming functions out there in the data science world! An aspiring data enthusiast need not know all.


Oracle PL/SQL Language Pocket Reference, 5th Edition - Programmer Books

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Be more productive with the Oracle PL/SQL language. The fifth edition of this popular pocket reference puts the syntax of specific PL/SQL language elements right at your fingertips, including features added in Oracle Database 12c. Whether you're a developer or database administrator, when you need answers quickly, the Oracle PL/SQL Language Pocket Reference will save you hours of frustration with concise summaries of: Fundamental language elements, such as block structure, datatypes, and declarations Statements for program control, cursor management, and exception handling Records, procedures, functions, triggers, and packages Execution of PL/SQL functions in SQL Compilation options, object-oriented features, collections, and Java integration This handy pocket reference is a perfect companion to Steven Feuerstein and Bill Pribyl's bestselling Oracle PL/SQL Programming.