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Автор: Next от 10-10-2015, 20:23
Millions of public Twitter streams harbor a wealth of data, and once you mine them, you can gain some valuable insights. This short and concise book offers a collection of recipes to help you extract nuggets of Twitter information using easy-to-learn Python tools. Each recipe offers a discussion of how and why the solution works, so you can quickly adapt it to fit your particular needs.
Автор: Next от 6-10-2015, 23:23
Like music and movies, video games are rapidly becoming an integral part of our lives. Over the years, you’ve yearned for every new gaming console, mastered each blockbuster within weeks after its release, and have even won a local gaming competition or two. But lately you’ve been spending a lot of time thinking about a game idea of your own, or are exploring the possibility of making a career of this vibrant and growing industry. But where should you begin? Beginning Game Development with Python and Pygame is written with the budding game developer in mind, introducing games development through the Python programming language and the popular Pygame games development library.
Автор: Next от 6-10-2015, 23:21
Invent Your Own Computer Games with Python teaches you how to program in the Python. Each chapter gives you the complete source code for a new game, and then teaches the programming concepts from the example. The programs covered include Hangman, Tic Tac Toe, Reversi, Caesar Cipher, Guess the Number, and Dragon Realm. Later chapters cover how to make 2D graphical games using the popular Pygame library.
Автор: Next от 6-10-2015, 23:17
The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance.
Автор: Next от 6-10-2015, 23:13
Autodesk Maya is a 3D computer graphics software. It offers a vast and flexible set of features utilizing Python. It is not difficult to get started using Python in Autodesk Maya, but it can be difficult to go from writing procedural, MEL-inspired tools to building the powerful yet simple systems that Python promises. Practical Maya Programming with Python will help you master both Python and Maya. With thorough explanations, illustrative examples, and complete sample projects, you will learn how to use Python to charm Maya into obeying your every command. Practical Maya Programming with Python will teach you how PyMEL works as well as how to deal with errors and write composable code in Python.
Автор: Next от 6-10-2015, 23:11
Raspberry Pi Cookbook for Python Programmers is a practical guide for getting the most out of this little computer. It will guide you through the many uses of the Raspberry Pi and allow you to showcase the best it has to offer. Discover what the Raspberry Pi has to offer using detailed Python 3 examples that you can adapt and extend; see where your creativity takes you!
Автор: Next от 6-10-2015, 23:06
The must-have companion guide to the Raspberry Pi User Guide! Raspberry Pi chose Python as its teaching language of choice to encourage a new generation of programmers to learn how to program. This approachable book serves as an ideal resource for anyone wanting to use Raspberry Pi to learn to program and helps you get started with the Python programming language. Aimed at first-time developers with no prior programming language assumed, this beginner book gets you up and running.
Автор: Next от 6-10-2015, 22:44
Learn Raspberry Pi Programming with Python will show you how to program your nifty new $35 computer to make a web spider, a weather station, a media server, and more. You’ll learn how to program in Python on your Raspberry Pi with hands-on examples and fun projects. Even if you’re completely new to programming in general, you’ll figure out how to create a home security system, an underwater photography system, an RC plane with a camera, and even a near-space weather balloon with a camera.
Автор: Next от 6-10-2015, 22:20
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out.
Автор: Next от 6-10-2015, 22:18
Learn to capture videos, manipulate images, and track objects with Python using the OpenCV Library Overview Set up OpenCV, its Python bindings, and optional Kinect drivers on Windows, Mac or Ubuntu Create an application that tracks and manipulates faces Identify face regions using normal color images and depth images In Detail Computer Vision can reach consumers in various contexts via webcams, camera phones and gaming sensors like Kinect. OpenCV’s Python bindings can help developers meet these consumer demands for applications that capture images, change their appearance and extract information from them, in a high-level language and in a standardized data format that is interoperable with scientific libraries such as NumPy and SciPy.
Автор: Next от 6-10-2015, 22:15
INTRODUCTION TO PYTHON PROGRAMMING AND DEVELOPING GUI APPLICATIONS WITH PYQT 1E teaches Python programming step-by-step through practical examples that readers can see in action right away. It begins with a solid introduction of Python from scratch, covering loops, control structures, sequences, functions, classes, and exception handling. Thereafter, the book explores file handling and GUI application development in PyQT, the powerful cross-platform GUI layout and forms builder that allows programmers to rapidly design and build widgets and dialogs. This is a great book for newbie programmers interested in learning Python
Автор: Next от 6-10-2015, 22:08
This book introduces Python programming language and fundamental concepts in algorithms and computing. Its target audience includes students and engineers with little or no background in programming, who need to master a practical programming language and learn the basic thinking in computer science/programming. The main contents come from lecture notes for engineering students from all disciplines, and has received high ratings. Its materials and ordering have been adjusted repeatedly according to classroom reception..
Автор: Next от 6-10-2015, 22:04
Learn web scraping and crawling techniques to access unlimited data from any web source in any format. With this practical guide, you’ll learn how to use Python scripts and web APIs to gather and process data from thousands—or even millions—of web pages at once. Ideal for programmers, security professionals, and web administrators familiar with Python, this book not only teaches basic web scraping mechanics, but also delves into more advanced topics, such as analyzing raw data or using scrapers for frontend website testing. Code samples are available to help you understand the concepts in practice.
Автор: Next от 6-10-2015, 22:01
Python’s simplicity lets you become productive quickly, but this often means you aren’t using everything it has to offer. With this hands-on guide, you’ll learn how to write effective, idiomatic Python code by leveraging its best—and possibly most neglected—features. Author Luciano Ramalho takes you through Python’s core language features and libraries, and shows you how to make your code shorter, faster, and more readable at the same time. Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will thoroughly learn how to become proficient in Python 3.
Автор: Next от 6-10-2015, 21:47
The complexity of modern data – in particular Big Data – and the demand to understand it in powerful and productive ways can make effective scientific computing one of the biggest challenges within data science and analysis. IPython is a truly indispensable solution that can help data scientists write intricate code and develop incredibly sophisticated programs and algorithms much more easily. This collection of more than 100 recipes shows you how IPython can help you extend the power of Python – and other languages – for interactive computing.
Автор: Next от 6-10-2015, 21:44
Automated testing is the best way to increase efficiency and decrease the defects of software testing. It takes away much of the effort on your part so that you can find bugs early and easily. The Python unit testing framework makes it easy to write efficient automated test cases in Python. Applications involving many paradigms and styles can be very complicated to test, but with the right tools, testing becomes the simplest part of the development process.
Автор: Next от 6-10-2015, 21:42
Learning about robotics will become an increasingly essential skill as it becomes a ubiquitous part of life. Even though robotics is a complex subject, several other tools along with Python can help you design a project to create an easy-to-use interface. Learning Robotics Using Python is an essential guide for creating an autonomous mobile robot using popular robotic software frameworks such as ROS using Python. It also discusses various robot software frameworks and how to go about coding the robot using Python and its framework. It concludes with creating a GUI-based application to control the robot using buttons and slides.
Автор: Next от 6-10-2015, 21:39
Machine learning, the art of creating applications that learn from experience and data, has been around for many years. However, in the era of “big data”, huge amounts of information is being generated. This makes machine learning an unavoidable source of new data-based approximations for problem solving. With Learning scikit-learn: Machine Learning in Python, you will learn to incorporate machine learning in your applications. The book combines an introduction to some of the main concepts and methods in machine learning with practical, hands-on examples of real-world problems. Ranging from handwritten digit recognition to document classification, examples are solved step by step using Scikit-learn and Python.
Автор: Next от 6-10-2015, 21:37
Built initially for scientific computing, Python quickly found its place in finance. Its flexibility and robustness can be easily incorporated into applications for mathematical studies, research, and software development. With this book, you will learn about all the tools you need to successfully perform research studies and modeling, improve your trading strategies, and effectively manage risks. You will explore the various tools and techniques used in solving complex problems commonly faced in finance.
Автор: Next от 6-10-2015, 21:34
Regular expressions are used by many text editors, utilities, and programming languages to search and manipulate text based on patterns. They are considered the Swiss army knife of text processing. Powerful search, replacement, extraction and validation of strings, repetitive and complex tasks are reduced to a simple pattern using regular expressions. Mastering Python Regular Expressions will teach you about Regular Expressions, starting from the basics, irrespective of the language being used, and then it will show you how to use them in Python. You will learn the finer details of what Python supports and how to do it, and the differences between Python 2.x and Python 3.x.
Автор: Next от 6-10-2015, 21:31
Python is a programming language with a vibrant community known for its simplicity, code readability, and expressiveness. The massive selection of third party libraries make it suitable for a wide range of applications. This also allows programmers to express concepts in fewer lines of code than would be possible in similar languages. The availability of high quality numerically-focused tools has made Python an excellent choice for high performance computing. The speed of applications comes down to how well the code is written. Poorly written code means poorly performing applications, which means unsatisfied customers.
Автор: Next от 6-10-2015, 21:29
This book gives you an arsenal of Python scripts perfect to use or to customize your needs for each stage of the testing process. Each chapter takes you step by step through the methods of designing and modifying scripts to attack web apps. You will learn how to collect both open and hidden information from websites to further your attacks, identify vulnerabilities, perform SQL Injections, exploit cookies, and enumerate poorly configured systems. You will also discover how to crack encryption, create payloads to mimic malware, and create tools to output your findings into presentable formats for reporting to your employers.
Автор: Next от 6-10-2015, 21:26
BeagleBone is a barebone computer that can be configured and customized for different applications and is almost half the price of a standard computer. This book will cover the basics of how BeagleBone Black’s hardware interface subsystems work, and can be controlled using two popular Python libraries for BeagleBone Black. You will be introduced to BeagleBone Black’s GPIO, PWM, ADC, UART, SPI, I2C, and eQEP subsystems. We will then dive deep into more complex built-in peripherals, demonstrating different ways to receive input from a user including buttons, potentiometers, and rotary encoders with the eQEP module. We will also learn about interfacing with external devices; this will be demonstrated using the serial modules to interface with external devices such as temperature sensors and accelerometers. Towards the end of the book, we will present a couple of real-world problems and demonstrate how to solve them with the skills you’ve acquired.
Автор: Next от 6-10-2015, 21:24
This book starts with a look at the test-driven development process, and how it is different from the traditional way of writing code. All the concepts are presented in the context of a real application that is developed in a step-by-step manner over the course of the book. While exploring the common types of smelly code, we will go back into our example project and clean up the smells that we find.
Автор: Next от 6-10-2015, 21:22
Network programming has always been a demanding task. With full-featured and well documented libraries all the way up the stack, Python makes network programming the enjoyable experience it should be. Starting with a walkthrough of today’s major networking protocols, with this book you’ll learn how to employ Python for network programming, how to request and retrieve web resources, and how to extract data in major formats over the Web. You’ll utilize Python for e-mailing using different protocols and you’ll interact with remote systems and IP and DNS networking.
Автор: Next от 6-10-2015, 21:19
The book starts by introducing you to setting up your essential data science toolbox. Then it will guide you across all the data munging and preprocessing phases. This will be done in a manner that explains all the core data science activities related to loading data, transforming and fixing it for analysis, as well as exploring and processing it. Finally, it will complete the overview by presenting you with the main machine learning algorithms, the graph analysis technicalities, and all the visualization instruments that can make your life easier in presenting your results.
Автор: Next от 6-10-2015, 21:16
Python Essentials provides a vital tour of the most critical features of Python. Starting with setup and installation, you will soon dive into exploring built-in-library types, Python’s rich collection of operators and built-in functions, variables, assignment and scoping rules.
Автор: Next от 6-10-2015, 20:58
Python is a highly expressive language that makes it easy to write sophisticated programs. Combining high-quality geospatial data with Python geospatial libraries will give you a powerful toolkit for solving a range of geospatial programming tasks. The book begins with an introduction to geospatial analysis and programming and explains the ideas behind geospatial data. You will explore Python libraries for building your own geospatial applications. You will learn to create a geospatial database for your application using PostGIS and the psycopg2 library, and see how the Mapnik library can be used to create attractive and useful maps.
Автор: Next от 6-10-2015, 20:48
This book provides you with the resources to successfully develop your own GIS application in Python. The book begins by walking you through the loading and saving of data structures before you start to build the look and feel of your application and create its interactive map window. You’ll then move on to managing, editing, and analyzing spatial data from within the application and finish with instructions for packaging the application for distribution.
Автор: Next от 6-10-2015, 20:45
Probabilistic graphical models is a technique in machine learning that uses the concepts of graph theory to concisely represent and optimally predict values in our data problems. Graphical models gives us techniques to find complex patterns in the data and are widely used in the field of speech recognition, information extraction, image segmentation, and modeling gene regulatory networks.

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