Download or read book Matplotlib for Python Developers written by Aldrin Yim and published by Packt Publishing Ltd. This book was released on 2018-04-24 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage the power of Matplotlib to visualize and understand your data more effectively Key Features Perform effective data visualization with Matplotlib and get actionable insights from your data Design attractive graphs, charts, and 2D plots, and deploy them to the web Get the most out of Matplotlib in this practical guide with updated code and examples Book Description Python is a general-purpose programming language increasingly being used for data analysis and visualization. Matplotlib is a popular data visualization package in Python used to design effective plots and graphs. This is a practical, hands-on resource to help you visualize data with Python using the Matplotlib library. Matplotlib for Python Developers, Second Edition shows you how to create attractive graphs, charts, and plots using Matplotlib. You will also get a quick introduction to third-party packages, Seaborn, Pandas, Basemap, and Geopandas, and learn how to use them with Matplotlib. After that, you’ll embed and customize your plots in third-party tools such as GTK+3, Qt 5, and wxWidgets. You’ll also be able to tweak the look and feel of your visualization with the help of practical examples provided in this book. Further on, you’ll explore Matplotlib 2.1.x on the web, from a cloud-based platform using third-party packages such as Django. Finally, you will integrate interactive, real-time visualization techniques into your current workflow with the help of practical real-world examples. By the end of this book, you’ll be thoroughly comfortable with using the popular Python data visualization library Matplotlib 2.1.x and leveraging its power to build attractive, insightful, and powerful visualizations. What you will learn Create 2D and 3D static plots such as bar charts, heat maps, and scatter plots Get acquainted with GTK+3, Qt5, and wxWidgets to understand the UI backend of Matplotlib Develop advanced static plots with third-party packages such as Pandas, GeoPandas, and Seaborn Create interactive plots with real-time updates Develop web-based, Matplotlib-powered graph visualizations with third-party packages such as Django Write data visualization code that is readily expandable on the cloud platform Who this book is for This book is essentially for anyone who wants to create intuitive data visualizations using the Matplotlib library. If you’re a data scientist or analyst and wish to create attractive visualizations using Python, you’ll find this book useful. Some knowledge of Python programming is all you need to get started.

Download or read book Data Analysis with Python written by David Taieb and published by Packt Publishing Ltd. This book was released on 2018-12-31 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis. Key FeaturesBridge your data analysis with the power of programming, complex algorithms, and AIUse Python and its extensive libraries to power your way to new levels of data insightWork with AI algorithms, TensorFlow, graph algorithms, NLP, and financial time seriesExplore this modern approach across with key industry case studies and hands-on projectsBook Description Data Analysis with Python offers a modern approach to data analysis so that you can work with the latest and most powerful Python tools, AI techniques, and open source libraries. Industry expert David Taieb shows you how to bridge data science with the power of programming and algorithms in Python. You'll be working with complex algorithms, and cutting-edge AI in your data analysis. Learn how to analyze data with hands-on examples using Python-based tools and Jupyter Notebook. You'll find the right balance of theory and practice, with extensive code files that you can integrate right into your own data projects. Explore the power of this approach to data analysis by then working with it across key industry case studies. Four fascinating and full projects connect you to the most critical data analysis challenges you’re likely to meet in today. The first of these is an image recognition application with TensorFlow – embracing the importance today of AI in your data analysis. The second industry project analyses social media trends, exploring big data issues and AI approaches to natural language processing. The third case study is a financial portfolio analysis application that engages you with time series analysis - pivotal to many data science applications today. The fourth industry use case dives you into graph algorithms and the power of programming in modern data science. You'll wrap up with a thoughtful look at the future of data science and how it will harness the power of algorithms and artificial intelligence. What you will learnA new toolset that has been carefully crafted to meet for your data analysis challengesFull and detailed case studies of the toolset across several of today’s key industry contextsBecome super productive with a new toolset across Python and Jupyter NotebookLook into the future of data science and which directions to develop your skills nextWho this book is for This book is for developers wanting to bridge the gap between them and data scientists. Introducing PixieDust from its creator, the book is a great desk companion for the accomplished Data Scientist. Some fluency in data interpretation and visualization is assumed. It will be helpful to have some knowledge of Python, using Python libraries, and some proficiency in web development.

Download or read book Code Simplicity written by Max Kanat-Alexander and published by "O'Reilly Media, Inc.". This book was released on 2012-03-23 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt: Good software design is simple and easy to understand. Unfortunately, the average computer program today is so complex that no one could possibly comprehend how all the code works. This concise guide helps you understand the fundamentals of good design through scientific laws—principles you can apply to any programming language or project from here to eternity. Whether you’re a junior programmer, senior software engineer, or non-technical manager, you’ll learn how to create a sound plan for your software project, and make better decisions about the pattern and structure of your system. Discover why good software design has become the missing science Understand the ultimate purpose of software and the goals of good design Determine the value of your design now and in the future Examine real-world examples that demonstrate how a system changes over time Create designs that allow for the most change in the environment with the least change in the software Make easier changes in the future by keeping your code simpler now Gain better knowledge of your software’s behavior with more accurate tests

Download or read book The Demon Notebook written by Erika McGann and published by Sourcebooks, Inc.. This book was released on 2014-06-03 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: For Grace and her four best friends, magic is just harmless fun—until it's not... Things have gone wrong for Grace, Jenny, Rachel, Adie, and Una. Very wrong. A freak snowstorm stranded the whole school, the history teacher's gone bonkers, and their notebook has taken on a diabolical life of its own, bringing all of their previously failed spells to life. At first the girls are thrilled to see their magic finally working. But the spells are botched and people might get hurt and Una's not acting quite right... Can the girls stop the madness before the demon notebook works through their list of spells, slowly creeping towards the last, truly awful spell that they didn't really want to happen? Winner of the Waverton Good Read Children's Award for best debut novel.

Download or read book Q Pocket Guide written by Mariia Mykhailova and published by "O'Reilly Media, Inc.". This book was released on 2022-06-14 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ready to build quantum computing applications using Q# and the Microsoft Quantum Development Kit? This is the book for you. Q# is a domain-specific language for expressing quantum algorithms that combines familiar "classical" language constructs with quantum-specific ones. Ideal for any developer familiar with (or willing to learn) the basics of quantum computing and looking to get started with quantum programming, this pocket guide quickly helps you find syntax and usage information for unfamiliar aspects of Q#. You'll explore the quantum software development lifecycle from implementing the program to running it on quantum simulators to testing and debugging it. You'll learn to use the tools provided by Microsoft's Quantum Development Kit for each step of the process. You'll explore: Q# language details, including data types, statements, and operators Guidelines for organizing Q# code and invoking it from different environments Information on simulators and tools in the Microsoft Quantum Development Kit Advice on testing and debugging tools and techniques for quantum programs

Download or read book Hands On Blockchain for Python Developers written by Arjuna Sky Kok and published by Packt Publishing Ltd. This book was released on 2024-06-28 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Write popular DeFi and NFT smart contracts with Vyper, a Pythonic programming language, and integrate blockchain with real-world applications using Python Key Features Use the world's easiest programming language to build web3 applications Write common smart contracts like decentralized exchanges, NFT marketplaces, and lending applications Unlock deeper levels of insights with technologies relating to blockchain, such as IPFS and Layer 2 Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWe are living in the age of decentralized fi nance and NFTs. People swap tokens on Uniswap, borrow assets from Aave, send payments with stablecoins, trade art NFTs on OpenSea, and more. To build applications of this kind, you need to know how to write smart contracts. This comprehensive guide will help you explore all the features of Vyper, a programming language designed to write smart contracts. You’ll also explore the web3.py library. As you progress, you’ll learn how to connect to smart contracts, read values, and create transactions. To make sure your foundational knowledge is strong enough, the book guides you through Ape Framework, which can help you create decentralized exchanges, NFT marketplaces, voting applications, and more. Each project provides invaluable insights and hands-on experience, equipping you with the skills you need to build real-world blockchain solutions. By the end of this book, you’ll be well versed with writing common Web3 applications such as a decentralized exchange, an NFT marketplace, a voting application, and more.What you will learn Understand blockchain and smart contracts Learn how to write smart contracts with Vyper Explore how to use the web3.py library and Ape Framework Discover related technologies such as Layer 2 and IPFS Gain a step-by-step guide to writing an automated market maker (AMM) decentralized exchange (DEX) smart contract Build innovative, interactive, and token-gated Web3 NFT applications Who this book is for This blockchain book is for developers interested in understanding blockchain and smart contracts. It is suitable for both technology enthusiasts looking to explore blockchain technology and programmers who aspire to become smart contract engineers. Basic knowledge of GNU/Linux and Python programming is mandatory to get started with this book.

Download or read book InfoWorld written by and published by . This book was released on 1992-05-18 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects.

Download or read book A Worldbuilder s Guide to Magic written by Brent A. Stypczynski and published by McFarland. This book was released on 2021-10-12 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: Constructing a functional system of magic that helps readers suspend disbelief is a crucial part of worldbuilding in the fantasy genres. Yet creating a believable, compelling and original fictional universe can be daunting. To help inspire writers, this guide provides an overview of how magic has been understood in history and used in myth, legend and modern fiction. Different forms of magic are explored and a broad range of stories--from Nordic myths to modern novels--are described and referenced. Discussion explores how magic as a concept shapes, and is shaped by, fictional worlds and societies.

Download or read book Beyond Imported Magic written by Eden Medina and published by MIT Press. This book was released on 2014-08-15 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: Studies challenging the idea that technology and science flow only from global North to South. The essays in this volume study the creation, adaptation, and use of science and technology in Latin America. They challenge the view that scientific ideas and technology travel unchanged from the global North to the global South—the view of technology as “imported magic.” They describe not only alternate pathways for innovation, invention, and discovery but also how ideas and technologies circulate in Latin American contexts and transnationally. The contributors' explorations of these issues, and their examination of specific Latin American experiences with science and technology, offer a broader, more nuanced understanding of how science, technology, politics, and power interact in the past and present. The essays in this book use methods from history and the social sciences to investigate forms of local creation and use of technologies; the circulation of ideas, people, and artifacts in local and global networks; and hybrid technologies and forms of knowledge production. They address such topics as the work of female forensic geneticists in Colombia; the pioneering Argentinean use of fingerprinting technology in the late nineteenth century; the design, use, and meaning of the XO Laptops created and distributed by the One Laptop per Child Program; and the development of nuclear energy in Argentina, Mexico, and Chile. Contributors Pedro Ignacio Alonso, Morgan G. Ames, Javiera Barandiarán, João Biehl, Anita Say Chan, Amy Cox Hall, Henrique Cukierman, Ana Delgado, Rafael Dias, Adriana Díaz del Castillo H., Mariano Fressoli, Jonathan Hagood, Christina Holmes, Matthieu Hubert, Noela Invernizzi, Michael Lemon, Ivan da Costa Marques, Gisela Mateos, Eden Medina, María Fernanda Olarte Sierra, Hugo Palmarola, Tania Pérez-Bustos, Julia Rodriguez, Israel Rodríguez-Giralt, Edna Suárez Díaz, Hernán Thomas, Manuel Tironi, Dominique Vinck

Download or read book Deep Learning for Coders with fastai and PyTorch written by Jeremy Howard and published by O'Reilly Media. This book was released on 2020-06-29 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

Download or read book IPython Interactive Computing and Visualization Cookbook written by Cyrille Rossant and published by Packt Publishing Ltd. This book was released on 2014-09-25 with total page 899 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists... Basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.

Download or read book PC Mag written by and published by . This book was released on 1991-07 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: PCMag.com is a leading authority on technology, delivering Labs-based, independent reviews of the latest products and services. Our expert industry analysis and practical solutions help you make better buying decisions and get more from technology.

Download or read book Programming Grails written by Burt Beckwith and published by "O'Reilly Media, Inc.". This book was released on 2013-04-23 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dig deeper into Grails architecture and discover how this application framework works its magic. Written by a core developer on the Grails team, this practical guide takes you behind the curtain to reveal the inner workings of its 2.0 feature set. You’ll learn best practices for building and deploying Grails applications, including performance, security, scaling, tuning, debugging, and monitoring. Understand how Grails integrates with Groovy, Spring, Hibernate, and other JVM technologies, and learn how to create and use plugins to augment your application’s functionality. Once you know how Grails adds behavior by convention, you can solve problems more easily and develop applications more intuitively. Write simpler, more powerful code with the Groovy language Manage persistence in Grails, using Hibernate or a NoSQL datastore Learn how Grails uses Spring’s functionality and optional modules Discover how Hibernate handles details for storing and retrieving data Integrate technologies for messaging, mail, creating web services, and other JEE technologies Bypass convention and configure Grails manually Learn a general approach to upgrading applications and plugins Use Grails to develop and deploy IaaS and PaaS applications

Download or read book InfoWorld written by and published by . This book was released on 1993-12-06 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects.

Download or read book Twitter API Up and Running written by Kevin Makice and published by "O'Reilly Media, Inc.". This book was released on 2009-03-17 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This groundbreaking book provides you with the skills and resources necessary to build web applications for Twitter. Perfect for new and casual programmers intrigued by the world of microblogging, Twitter API: Up and Running carefully explains how each part of Twitter's API works, with detailed examples that show you how to assemble those building blocks into practical and fun web applications. You'll also get a complete look at Twitter culture and learn how it has inspired programmers to build hundreds of tools and applications. With this book, you will: Explore every component of a Twitter application and learn how the API responds Get the PHP and MySQL code necessary to build your own applications, with explanations of how these ingredients work Learn from real-world Twitter applications created just for this book Discover the most interesting and useful Twitter programs--and get ideas for creating your own--with the book's Twitter application directory Twitter offers a new way to connect with people on the Internet, and Twitter API: Up and Running takes you right to the heart of this technology. "Twitter API: Up and Running is a friendly, accessible introduction to the Twitter API. Even beginning web developers can have a working Twitter project before they know it. Sit down with this for a weekend and you're on your way to Twitter API mastery."--Alex Payne, Twitter API Lead "Twitter API: Up and Running is a very comprehensive and useful resource--any developer will feel the urge to code a Twitter-related application right after finishing the book!"--The Lollicode team, creators of Twitscoop

Download or read book JavaFX Developer s Guide written by Kim Topley and published by Pearson Education. This book was released on 2010-09-24 with total page 1543 pages. Available in PDF, EPUB and Kindle. Book excerpt: Updated for JavaFX 1.3 The JavaFX platform makes it possible to write applications that can be deployed across devices ranging from cell phones to desktops, with little or no change required. JavaFX applications are written using JavaFX Script, a new and easy-to-use scripting language. Kim Topley’s JavaFXTM Developer’s Guide thoroughly covers the JavaFX language and its core libraries and shows you step by step how to develop and deliver JavaFX applications for the desktop and for mobile devices. It provides complete coverage of all aspects of the language, including Language syntax Tools you can use to develop, debug, and deploy JavaFX applications User interface classes Animation How to play audio and video How to use RESTful Web services and databases to retrieve the data for your application How to create custom components Transformations User interface basics, attributes, events,and controls JavaFX and networking JavaFX development with NetBeans and Eclipse Packaging and deployment Topley highlights critical topics that other books gloss over, presents detailed examples that stretch JavaFX to its limits, and shows you exactly how to build on the skills you already have. Whether you’ve been focused on HTML/XML/CSS Web development or Java Swing, this book will help you get outstanding results with JavaFX.

Download or read book Python Data Science Handbook written by Jake VanderPlas and published by "O'Reilly Media, Inc.". This book was released on 2016-11-21 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms