Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools. As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.
Packt Publishing - ebooki
więcej »
-
Learning Probabilistic Graphical Models in R. Familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R
-
OpenStack Sahara Essentials. Integrate, deploy, rapidly configure, and successfully manage your own big data-intensive clusters in the cloud using OpenStack Sahara
-
Hadoop Real-World Solutions Cookbook. Over 90 hands-on recipes to help you learn and master the intricacies of Apache Hadoop 2.X, YARN, Hive, Pig, Oozie, Flume, Sqoop, Apache Spark, and Mahout - Second Edition
-
R Machine Learning By Example. Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully
-
Mastering .NET Machine Learning. Use machine learning in your .NET applications
-
Learning Responsive Data Visualization. Create stunning data visualizations that look awesome on every device and screen resolutions
-
Learning QGIS. Create great maps and perform geoprocessing tasks with ease - Third Edition
-
Elasticsearch Server. Leverage Elasticsearch to create a robust, fast, and flexible search solution with ease - Third Edition
-
Regression Analysis with Python. Discover everything you need to know about the art of regression analysis with Python, and change how you view data
-
Real-Time Big Data Analytics. Design, process, and analyze large sets of complex data in real time
-
Advanced Oracle PL/SQL Developer's Guide. Master the advanced concepts of PL/SQL for professional-level certification and learn the new capabilities of Oracle Database 12c - Second Edition
-
Learning Predictive Analytics with Python. Click here to enter text
-
Elasticsearch Essentials. Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide
-
Splunk Developer's Guide. Learn the A to Z of building excellent Splunk applications with the latest techniques using this comprehensive guide - Second Edition
-
R Data Science Essentials. R Data Science Essentials
-
Learning Hunk. A quick, practical guide to rapidly visualizing and analyzing your Hadoop data using Hunk
-
Elasticsearch Indexing. How to Improve User’s Search Experience
-
Mathematica Data Analysis. Learn and explore the fundamentals of data analysis with power of Mathematica
-
Python Business Intelligence Cookbook. Leverage the computational power of Python with more than 60 recipes that arm you with the required skills to make informed business decisions
-
Monitoring Docker. Monitor your Docker containers and their apps using various native and third-party tools with the help of this exclusive guide!
-
Apache Oozie Essentials. Unleash the power of Apache Oozie to create and manage your big data and machine learning pipelines in one go
-
Python Data Visualization Cookbook. Visualize data using Python's most popular libraries
-
Learning Couchbase. Design documents and implement real world e-commerce applications with Couchbase
-
Kibana Essentials. Use the functionalities of Kibana to discover data and build attractive visualizations and dashboards for real-world scenarios
-
Getting Started with Python Data Analysis. Learn to use powerful Python libraries for effective data processing and analysis
-
Data Analysis with Stata. Explore the big data field and learn how to perform data analytics and predictive modelling in STATA
-
Data Analysis and Business Modeling with Excel 2013. Manage, analyze, and visualize data with Microsoft Excel 2013 to transform raw data into ready to use information
-
Mastering Python Data Visualization. Generate effective results in a variety of visually appealing charts using the plotting packages in Python
-
Creating Stunning Dashboards with QlikView. Bring real business insights to your company through effective and engaging dashboards in QlikView
-
Apache Mahout Clustering Designs. Explore clustering algorithms used with Apache Mahout
-
Mastering Data Analysis with R. Gain sharp insights into your data and solve real-world data science problems with R—from data munging to modeling and visualization
-
Mastering Python Scientific Computing. A complete guide for Python programmers to master scientific computing using Python APIs and tools
-
Mastering Social Media Mining with R. Extract valuable data from your social media sites and make better business decisions using R
-
Python Machine Learning. Learn how to build powerful Python machine learning algorithms to generate useful data insights with this data analysis tutorial
-
Apache Spark Graph Processing. Build, process and analyze large-scale graph data effectively with Spark
-
Clojure for Data Science. Statistics, big data, and machine learning for Clojure programmers
-
Learning YARN. Moving beyond MapReduce - learn resource management and big data processing using YARN
-
OpenGL Data Visualization Cookbook. Over 35 hands-on recipes to create impressive, stunning visuals for a wide range of real-time, interactive applications using OpenGL
-
Spark Cookbook. With over 60 recipes on Spark, covering Spark Core, Spark SQL, Spark Streaming, MLlib, and GraphX libraries this is the perfect Spark book to always have by your side
-
Mastering matplotlib. A practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data
-
ggplot2 Essentials. Explore the full range of ggplot2 plotting capabilities to create meaningful and spectacular graphs
-
NumPy: Beginner's Guide. Build efficient, high-speed programs using the high-performance NumPy mathematical library
-
Sencha Charts Essentials. Create stunning charts and visualizations for both web and mobile applications
-
Mastering pandas for Finance. Master pandas, an open source Python Data Analysis Library, for financial data analysis
-
Monitoring Hadoop. Get to grips with the intricacies of Hadoop monitoring using the power of Ganglia and Nagios
-
Data Visualization with D3 and AngularJS. Build dynamic and interactive visualizations from real-world data with D3 on AngularJS
-
Learning pandas. Get to grips with pandas - a versatile and high-performance Python library for data manipulation, analysis, and discovery
-
Learning Three.js - the JavaScript 3D Library for WebGL. Create stunning 3D graphics in your browser using the Three.js JavaScript library
-
Natural Language Processing with Java. Explore various approaches to organize and extract useful text from unstructured data using Java
-
Real-time Analytics with Storm and Cassandra. Solve real-time analytics problems effectively using Storm and Cassandra
-
Interactive Applications Using Matplotlib
-
Mastering R for Quantitative Finance. Use R to optimize your trading strategy and build up your own risk management system
-
Apache Hive Essentials. Immerse yourself on a fantastic journey to discover the attributes of big data by using Hive
-
Learning Hadoop 2. Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2
-
Three.js Cookbook. Over 80 shortcuts, solutions, and recipes that allow you to create the most stunning visualizations and 3D scenes using the Three.js library
-
R Data Visualization Cookbook. Over 80 recipes to analyze data and create stunning visualizations with R
-
Clojure Data Analysis Cookbook. Dive into data analysis with Clojure through over 100 practical recipes for every stage of the analysis and collection process
-
HDInsight Essentials. Learn how to build and deploy a modern big data architecture to empower your business
-
Learning Highcharts 4. Design eye-catching and interactive JavaScript charts for your web page with Highcharts, one of the leading tools in web charting
-
Learning D3.js Mapping. Build stunning maps and visualizations using D3.js
-
Mastering Hadoop. Go beyond the basics and master the next generation of Hadoop data processing platforms
-
Highcharts Essentials. Create interactive data visualization charts with the Highcharts JavaScript library
-
Python Data Analysis. Learn how to apply powerful data analysis techniques with popular open source Python modules
-
R Graphs Cookbook. Over 70 recipes for building and customizing publication-quality visualizations of powerful and stunning R graphs
-
IPython Interactive Computing and Visualization Cookbook. Harness IPython for powerful scientific computing and Python data visualization with this collection of more than 100 practical data science recipes
-
Mathematica Data Visualization. Create and prototype interactive data visualizations using Mathematica
-
R Graph Essentials
-
Learning jqPlot. Learn how to create your very own rich and intuitive JavaScript data visualizations using jqPlot
-
Python 3 Text Processing with NLTK 3 Cookbook
-
Mastering D3.js. Bring your data to life by creating and deploying complex data visualizations with D3.js
-
Haskell Data Analysis Cookbook. Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes
-
Mastering Clojure Data Analysis. If you’d like to apply your Clojure skills to performing data analysis, this is the book for you. The example based approach aids fast learning and covers basic to advanced topics. Get deeper into your data
-
Pig Design Patterns. Simplify Hadoop programming to create complex end-to-end Enterprise Big Data solutions with Pig
-
matplotlib Plotting Cookbook. Discover how easy it can be to create great scientific visualizations with Python. This cookbook includes over sixty matplotlib recipes together with clarifying explanations to ensure you can produce plots of high quality
-
Minitab Cookbook. With over 110 practical recipes, this is the ideal book for all statisticians who want to explore the vast capabilities of Minitab to organize data, analyze it, and visualize it with impactful graphs
-
Optimizing Hadoop for MapReduce. This book is the perfect introduction to sophisticated concepts in MapReduce and will ensure you have the knowledge to optimize job performance. This is not an academic treatise; it’s an example-driven tutorial for the real world
-
Getting Started with Flurry Analytics. In today's mobile app market you need to track your applications and analyze user data to give yourself the competitive edge. Flurry Analytics will do all that and more, and this book is the perfect developer's guide
-
Microsoft System Center Configuration Manager. Deploy a scalable solution by ensuring high availability and disaster recovery using Configuration Manager with this book and
-
Business Intelligence with MicroStrategy Cookbook. Over 90 practical, hands-on recipes to help you build your MicroStrategy business intelligence project, including more than a 100 screencasts with this book and
-
Getting Started with Simulink. Written by an experienced engineer, this book will help you utilize the great user-friendly features of Simulink to advance your modeling, testing, and interfacing skills. Packed with illustrations and step-by-step walkthroughs
-
Pentaho Data Integration Beginner's Guide. Get up and running with the Pentaho Data Integration tool using this hands-on, easy-to-read guide with this book and ebook - Second Edition
-
Practical Data Analysis. For small businesses, analyzing the information contained in their data using open source technology could be game-changing. All you need is some basic programming and mathematical skills to do just that
-
KNIME Essentials. Perform accurate data analysis using the power of KNIME
-
Microsoft SharePoint 2013 Disaster Recovery Guide. Learn everything you need to know to design and implement a solid disaster recovery plan for SharePoint 2013
-
Oracle Database 12c Backup and Recovery Survival Guide. A comprehensive guide for every DBA to learn recovery and backup solutions
-
Puppet 3 Cookbook. An essential book if you have responsibility for servers. Real-world examples and code will give you Puppet expertise, allowing more control over servers, cloud computing, and desktops. A time-saving, career-enhancing tutorial - Second Edition
-
Building Machine Learning Systems with Python. Expand your Python knowledge and learn all about machine-learning libraries in this user-friendly manual. ML is the next big breakthrough in technology and this book will give you the head-start you need
-
QlikView for Developers Cookbook. Take your QlikView training to the next level with this brilliant book that's packed with recipes which progress from intermediate to advanced. The step-by step-approach makes learning easy and enjoyable
-
Instant MapReduce Patterns - Hadoop Essentials How-to. Practical recipes to write your own MapReduce solution patterns for Hadoop programs
-
Getting Started with Oracle Event Processing 11g. Create and develop real-world scenario Oracle CEP applications
-
QlikView 11 for Developers. This book is smartly built around a practical case study – HighCloud Airlines – to help you gain an in-depth understanding of how to build applications for Business Intelligence using QlikView. A superb hands-on guide
-
MySQL Management and Administration with Navicat. Master the tools you thought you knew and discover the features you never knew existed with this book and
-
CompTIA Data+: DAO-001 Certification Guide. Complete coverage of the new CompTIA Data+ (DAO-001) exam to help you pass on the first attempt
-
AI-Powered Commerce. Building the products and services of the future with Commerce.AI
-
Building Analytics Teams. Harnessing analytics and artificial intelligence for business improvement
-
Learn Power BI. A comprehensive, step-by-step guide for beginners to learn real-world business intelligence - Second Edition