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Beginning Programming with Python For Dummies
Python / julio 15, 2018

  Learn Python the fun and easy way and get in the programming game today! Python is one of the fastest growing programming languages, and no wonder. It requires three to five times less time than developing in Java, is a great building block for learning both procedural and object-oriented programming concepts, and is an ideal language for data analysis. Beginning Programming with Python For Dummies is the perfect guide to this dynamic and powerful programming language even if you’ve never coded before! Author John Paul Mueller draws on his vast programming knowledge and experience to guide you step-by-step through the syntax and logic of programming with Python and provides several real-world programming examples to give you hands-on experience trying out what you’ve learned. Provides a solid understanding of basic computer programming concepts and helps familiarize you with syntax and logicExplains the fundamentals of procedural and object-oriented programmingShows how Python is being used for data analysis and other applicationsIncludes short, practical programming samples to apply your skills to real-world programming scenarios Whether you’ve never written a line of code or are just trying to pick up Python, there’s nothing to fear with the fun and friendly Beginning Programming with Python…

Ruby on Rails 5.0 for Autodidacts
Programacion , Ruby / mayo 7, 2018

A step by step guide to learn Ruby on Rails 5.0. It includes a basic tutorial for Ruby 2.3 and is written for programmers who know at least one other programming language and are familiar with HTML. It covers Active Record, Scaffolding, REST, Routing, Bundler, Test Driven Development, Cookies, Sessions, Action Mailer, I18n, Asset Pipeline, JavaScript, Caching, Templates and of course the new 5.0 features Action Cable and Active Job. Descargar / Download

Ruby Cookbook, 2nd Edition
Ruby / mayo 5, 2018

Why spend time on coding problems that others have already solved when you could be making real progress on your Ruby project? This updated cookbook provides more than 350 recipes for solving common problems, on topics ranging from basic data structures, classes, and objects, to web development, distributed programming, and multithreading. Revised for Ruby 2.1, each recipe includes a discussion on why and how the solution works. You’ll find recipes suitable for all skill levels, from Ruby newbies to experts who need an occasional reference. With Ruby Cookbook, you’ll not only save time, but keep your brain percolating with new ideas as well. Recipes cover: Data structures including strings, numbers, date and time, arrays, hashes, files and directories Using Ruby’s code blocks, also known as closures OOP features such as classes, methods, objects, and modules XML and HTML, databases and persistence, and graphics and other formats Web development with Rails and Sinatra Internet services, web services, and distributed programming Software testing, debugging, packaging, and distributing Multitasking, multithreading, and extending Ruby with other languages Descargar / Download

Mastering Machine Learning in Python
Programacion , Python / mayo 3, 2018

Master machine learning with Python in six steps and explore fundamental to advanced topics, all designed to make you a worthy practitioner.  This book’s approach is based on the “Six degrees of separation” theory, which states that everyone and everything is a maximum of six steps away. Mastering Machine Learning with Python in Six Steps presents each topic in two parts: theoretical concepts and practical implementation using suitable Python packages.  You’ll learn the fundamentals of Python programming language, machine learning history, evolution, and the system development frameworks. Key data mining/analysis concepts, such as feature dimension reduction, regression, time series forecasting and their efficient implementation in Scikit-learn are also covered. Finally, you’ll explore advanced text mining techniques, neural networks and deep learning techniques, and their implementation.  All the code presented in the book will be available in the form of iPython notebooks to enable you to try out these examples and extend them to your advantage. What You’ll Learn Examine the fundamentals of Python programming language Review machine Learning history and evolution Understand machine learning system development frameworks Implement supervised/unsupervised/reinforcement learning techniques with examples Explore fundamental to advanced text mining techniques Implement various deep learning frameworks Descargar / Download

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