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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…

Regular Expressions Succcinctly
Javascript , PHP , Programacion , Python / mayo 5, 2018

This book is for developers who are currently using Microsoft Visual Studio and want to learn how to use regular expressions in their C# and VB.NET code. It assumes you are comfortable programming in C# and have at least seen regular expressions, and have a notion of what they are used for. The book is intended to help you understand them and start using them more  confidently to solve programming problems. 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

Python Forensics
Hacking , Python , Security / abril 27, 2018

Python Forensics provides many never-before-published proven forensic modules, libraries, and solutions that can be used right out of the box. In addition, detailed instruction and documentation provided with the code samples will allow even novice Python programmers to add their own unique twists or use the models presented to build new solutions. Rapid development of new cybercrime investigation tools is an essential ingredient in virtually every case and environment. Whether you are performing post-mortem investigation, executing live triage, extracting evidence from mobile devices or cloud services, or you are collecting and processing evidence from a network, Python forensic implementations can fill in the gaps. Descargar / Download

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