Learning NumPy Array
NumPy is an extension of Python, which provides highly optimized arrays and numerical operations. NumPy replaces a lot of the functionality of Matlab and Mathematica specifically vectorized operations, but in contrast to those products is free and open source. In today's world of science and technology, it is all about speed and flexibility. This book will teach you about NumPy, a leading scientific computing library. This book enables you to write readable, efficient, and fast code, which is closely associated to the language of mathematics. Save thousands of dollars on expensive software, while keeping all the flexibility and power of your favorite programming language. You will learn about installing and using NumPy and related concepts. At the end of the book we will explore related scientific computing projects. This book will give you a solid foundation in NumPy arrays and universal functions. Learning NumPy Array will help you be productive with NumPy and write clean and f ...
NumPy is an extension of Python, which provides highly optimized arrays and numerical operations. NumPy replaces a lot of the functionality of Matlab and Mathematica specifically vectorized operations, but in contrast to those products is free and open source. In today's world of science and technology, it is all about speed and flexibility. This book will teach you about NumPy, a leading scientific computing library. This book enables you to write readable, efficient, and fast code, which is closely associated to the language of mathematics. Save thousands of dollars on expensive software, while keeping all the flexibility and power of your favorite programming language. You will learn about installing and using NumPy and related concepts. At the end of the book we will explore related scientific computing projects. This book will give you a solid foundation in NumPy arrays and universal functions. Learning NumPy Array will help you be productive with NumPy and write clean and f ...
Python Data Analysis
Dive deeper into data analysis with the flexibility of Python and learn how its extensive range of scientific and mathematical libraries can be used to solve some of the toughest challenges in data analysis. Build your confidence and expertise and develop valuable skills in high demand in a world driven by Big Data with this expert data analysis book. This data science tutorial will help you learn how to effectively retrieve, clean, manipulate, and visualize data and establish a successful data analysis workflow. Apply the impressive functionality of Python's data mining tools and scientific and numerical libraries to a range of the most important tasks within data analysis and data science, and develop strategies and ideas to take control your own data analysis projects. Get to grips with statistical analysis using NumPy and SciPy, visualize data with Matplotlib, and uncover sophisticated insights through predictive analytics and machine learning with SciKit-Learn. You will also le ...
Dive deeper into data analysis with the flexibility of Python and learn how its extensive range of scientific and mathematical libraries can be used to solve some of the toughest challenges in data analysis. Build your confidence and expertise and develop valuable skills in high demand in a world driven by Big Data with this expert data analysis book. This data science tutorial will help you learn how to effectively retrieve, clean, manipulate, and visualize data and establish a successful data analysis workflow. Apply the impressive functionality of Python's data mining tools and scientific and numerical libraries to a range of the most important tasks within data analysis and data science, and develop strategies and ideas to take control your own data analysis projects. Get to grips with statistical analysis using NumPy and SciPy, visualize data with Matplotlib, and uncover sophisticated insights through predictive analytics and machine learning with SciKit-Learn. You will also le ...
NumPy Cookbook, 2nd Edition
NumPy has the ability to give you speed and high productivity. High performance calculations can be done easily with clean and efficient code, and it allows you to execute complex algebraic and mathematical computations in no time. This book will give you a solid foundation in NumPy arrays and universal functions. Starting with the installation and configuration of IPython, you'll learn about advanced indexing and array concepts along with commonly used yet effective functions. You will then cover practical concepts such as image processing, special arrays, and universal functions. You will also learn about plotting with Matplotlib and the related SciPy project with the help of examples. At the end of the book, you will study how to explore atmospheric pressure and its related techniques. By the time you finish this book, you'll be able to write clean and fast code with NumPy. ...
NumPy has the ability to give you speed and high productivity. High performance calculations can be done easily with clean and efficient code, and it allows you to execute complex algebraic and mathematical computations in no time. This book will give you a solid foundation in NumPy arrays and universal functions. Starting with the installation and configuration of IPython, you'll learn about advanced indexing and array concepts along with commonly used yet effective functions. You will then cover practical concepts such as image processing, special arrays, and universal functions. You will also learn about plotting with Matplotlib and the related SciPy project with the help of examples. At the end of the book, you will study how to explore atmospheric pressure and its related techniques. By the time you finish this book, you'll be able to write clean and fast code with NumPy. ...
Ruby Pocket Reference, 2nd Edition
Updated for Ruby 2.2, this handy reference offers brief yet clear explanations of Ruby's core elements - from operators to blocks to documentation creation—and highlights the key features you may work with every day. Need to know the correct syntax for a conditional? Forgot the name of that String method? This book is organized to help you find the facts fast. Ruby Pocket Reference, 2nd Edition is ideal for experienced programmers who are new to Ruby. Whether you've come to Ruby because of Rails, or you want to take advantage of this clean, powerful, and expressive language for other applications, this reference will help you easily pinpoint the information you need. ...
Updated for Ruby 2.2, this handy reference offers brief yet clear explanations of Ruby's core elements - from operators to blocks to documentation creation—and highlights the key features you may work with every day. Need to know the correct syntax for a conditional? Forgot the name of that String method? This book is organized to help you find the facts fast. Ruby Pocket Reference, 2nd Edition is ideal for experienced programmers who are new to Ruby. Whether you've come to Ruby because of Rails, or you want to take advantage of this clean, powerful, and expressive language for other applications, this reference will help you easily pinpoint the information you need. ...
Django By Example
Django is a powerful Python web framework designed to develop web applications quickly, from simple prototypes to large-scale projects. Django encourages clean, pragmatic design, and provides developers with a comprehensive set of tools to build scalable web applications. This book will walk you through the creation of four professional Django projects, teaching you how to solve common problems and implement best practices. The book begins by showing you how to build a blog application, before moving on to developing a social image bookmarking website, an online shop and an e-learning platform. You will learn how to build a search engine and implement a user activity stream. Furthermore, you will create a recommendation engine, an e-commerce coupon system and a content management system. The book will also teach you how to enhance your applications with AJAX, create RESTful APIs and setup a production environment for your Django projects. After reading this book, you will have a goo ...
Django is a powerful Python web framework designed to develop web applications quickly, from simple prototypes to large-scale projects. Django encourages clean, pragmatic design, and provides developers with a comprehensive set of tools to build scalable web applications. This book will walk you through the creation of four professional Django projects, teaching you how to solve common problems and implement best practices. The book begins by showing you how to build a blog application, before moving on to developing a social image bookmarking website, an online shop and an e-learning platform. You will learn how to build a search engine and implement a user activity stream. Furthermore, you will create a recommendation engine, an e-commerce coupon system and a content management system. The book will also teach you how to enhance your applications with AJAX, create RESTful APIs and setup a production environment for your Django projects. After reading this book, you will have a goo ...
Event-Based Programming
Languages like C#, VB .NET, and Delphi include built-in support for events, and these events become very powerful when they connect the objects and components of a system. Events make it possible for such parts to interact without any coupling. And the resulting parts can be developed and tested individuallywhich keeps the code clean and simple. Component-based development (CBD) is an extension of object-oriented programming. CBD does away with the language and vendor-specific limitations of OOP, makes software reuse more practical and accelerates the development process. ...
Languages like C#, VB .NET, and Delphi include built-in support for events, and these events become very powerful when they connect the objects and components of a system. Events make it possible for such parts to interact without any coupling. And the resulting parts can be developed and tested individuallywhich keeps the code clean and simple. Component-based development (CBD) is an extension of object-oriented programming. CBD does away with the language and vendor-specific limitations of OOP, makes software reuse more practical and accelerates the development process. ...
Fast Data Processing with Spark
Spark is a framework for writing fast, distributed programs. Spark solves similar problems as Hadoop MapReduce does but with a fast in-memory approach and a clean functional style API. With its ability to integrate with Hadoop and inbuilt tools for interactive query analysis (Shark), large-scale graph processing and analysis (Bagel), and real-time analysis (Spark Streaming), it can be interactively used to quickly process and query big data sets. Fast Data Processing with Spark covers how to write distributed map reduce style programs with Spark. The book will guide you through every step required to write effective distributed programs from setting up your cluster and interactively exploring the API, to deploying your job to the cluster, and tuning it for your purposes. ...
Spark is a framework for writing fast, distributed programs. Spark solves similar problems as Hadoop MapReduce does but with a fast in-memory approach and a clean functional style API. With its ability to integrate with Hadoop and inbuilt tools for interactive query analysis (Shark), large-scale graph processing and analysis (Bagel), and real-time analysis (Spark Streaming), it can be interactively used to quickly process and query big data sets. Fast Data Processing with Spark covers how to write distributed map reduce style programs with Spark. The book will guide you through every step required to write effective distributed programs from setting up your cluster and interactively exploring the API, to deploying your job to the cluster, and tuning it for your purposes. ...
Reactive Programming with RxJS
Reactive programming is revolutionary. It makes asynchronous programming clean, intuitive, and robust. Use the RxJS library to write complex programs in a simple way, unifying asynchronous mechanisms such as callbacks and promises into a powerful data type: the Observable. Learn to think about your programs as streams of data that you can transform by expressing what should happen, instead of having to painstakingly program how it should happen. Manage real-world concurrency and write complex flows of events in your applications with ease. ...
Reactive programming is revolutionary. It makes asynchronous programming clean, intuitive, and robust. Use the RxJS library to write complex programs in a simple way, unifying asynchronous mechanisms such as callbacks and promises into a powerful data type: the Observable. Learn to think about your programs as streams of data that you can transform by expressing what should happen, instead of having to painstakingly program how it should happen. Manage real-world concurrency and write complex flows of events in your applications with ease. ...
RStudio for R Statistical Computing Cookbook
The requirement of handling complex datasets, performing unprecedented statistical analysis, and providing real-time visualizations to businesses has concerned statisticians and analysts across the globe. RStudio is a useful and powerful tool for statistical analysis that harnesses the power of R for computational statistics, visualization, and data science, in an integrated development environment. This book is a collection of recipes that will help you learn and understand RStudio features so that you can effectively perform statistical analysis and reporting, code editing, and R development. The first few chapters will teach you how to set up your own data analysis project in RStudio, acquire data from different data sources, and manipulate and clean data for analysis and visualization purposes. You'll get hands-on with various data visualization methods using ggplot2, and you will create interactive and multidimensional visualizations with D3.js ...
The requirement of handling complex datasets, performing unprecedented statistical analysis, and providing real-time visualizations to businesses has concerned statisticians and analysts across the globe. RStudio is a useful and powerful tool for statistical analysis that harnesses the power of R for computational statistics, visualization, and data science, in an integrated development environment. This book is a collection of recipes that will help you learn and understand RStudio features so that you can effectively perform statistical analysis and reporting, code editing, and R development. The first few chapters will teach you how to set up your own data analysis project in RStudio, acquire data from different data sources, and manipulate and clean data for analysis and visualization purposes. You'll get hands-on with various data visualization methods using ggplot2, and you will create interactive and multidimensional visualizations with D3.js ...
Python Crash Course
Python Crash Course is a fast-paced, thorough introduction to Python that will have you writing programs, solving problems, and making things that work in no time. In the first half of the book, you'll learn about basic programming concepts, such as lists, dictionaries, classes, and loops, and practice writing clean and readable code with exercises for each topic. You'll also learn how to make your programs interactive and how to test your code safely before adding it to a project. In the second half of the book, you'll put your new knowledge into practice with three substantial projects: a Space Invaders - inspired arcade game, data visualizations with Python's super-handy libraries, and a simple web app you can deploy online. As you work through Python Crash Course you'll learn how to:Use powerful Python libraries and tools, including matplotlib, NumPy, and Pygal;Make 2D games that respond to keypresses and mouse clicks, and that grow more difficult as the game pro ...
Python Crash Course is a fast-paced, thorough introduction to Python that will have you writing programs, solving problems, and making things that work in no time. In the first half of the book, you'll learn about basic programming concepts, such as lists, dictionaries, classes, and loops, and practice writing clean and readable code with exercises for each topic. You'll also learn how to make your programs interactive and how to test your code safely before adding it to a project. In the second half of the book, you'll put your new knowledge into practice with three substantial projects: a Space Invaders - inspired arcade game, data visualizations with Python's super-handy libraries, and a simple web app you can deploy online. As you work through Python Crash Course you'll learn how to:Use powerful Python libraries and tools, including matplotlib, NumPy, and Pygal;Make 2D games that respond to keypresses and mouse clicks, and that grow more difficult as the game pro ...