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.
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Building Data Streaming Applications with Apache Kafka. Design, develop and streamline applications using Apache Kafka, Storm, Heron and Spark
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Mastering Predictive Analytics with R. Machine learning techniques for advanced models - Second Edition
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Mastering Apache Storm. Real-time big data streaming using Kafka, Hbase and Redis
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SQL Server on Linux. Configuring and administering your SQL Server solution on Linux
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Learning Informatica PowerCenter 10.x. Enterprise data warehousing and intelligent data centers for efficient data management solutions - Second Edition
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Big Data Analytics with Java. Data analysis, visualization & machine learning techniques
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Hands-On Data Science and Python Machine Learning. Perform data mining and machine learning efficiently using Python and Spark
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Hands-On Deep Learning with TensorFlow. Uncover what is underneath your data!
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Python Natural Language Processing. Advanced machine learning and deep learning techniques for natural language processing
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Python Social Media Analytics. Analyze and visualize data from Twitter, YouTube, GitHub, and more
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Apache Spark 2.x for Java Developers. Explore big data at scale using Apache Spark 2.x Java APIs
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Mastering Apache Spark 2.x. Advanced techniques in complex Big Data processing, streaming analytics and machine learning - Second Edition
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Scala and Spark for Big Data Analytics. Explore the concepts of functional programming, data streaming, and machine learning
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Machine Learning Algorithms. A reference guide to popular algorithms for data science and machine learning
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Mastering Machine Learning with scikit-learn. Apply effective learning algorithms to real-world problems using scikit-learn - Second Edition
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Statistics for Machine Learning. Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R
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Mastering Java Machine Learning. A Java developer's guide to implementing machine learning and big data architectures
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Learning SAP Analytics Cloud. Collaborate, predict and solve business intelligence problems with cloud computing
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Java: Data Science Made Easy. Data collection, processing, analysis, and more
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Frank Kane's Taming Big Data with Apache Spark and Python. Real-world examples to help you analyze large datasets with Apache Spark
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Learning Elasticsearch. Structured and unstructured data using distributed real-time search and analytics
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Learning pandas. High performance data manipulation and analysis using Python - Second Edition
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Practical Predictive Analytics. Analyse current and historical data to predict future trends using R, Spark, and more
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Python for Finance. Apply powerful finance models and quantitative analysis with Python - Second Edition
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Practical Data Science Cookbook. Data pre-processing, analysis and visualization using R and Python - Second Edition
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R: Mining spatial, text, web, and social media data. Create and customize data mining algorithms
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Practical GIS. Learn novice to advanced topics such as QGIS, Spatial data analysis, and more
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Apache Spark 2.x Cookbook. Over 70 cloud-ready recipes for distributed Big Data processing and analytics
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Data Lake for Enterprises. Lambda Architecture for building enterprise data systems
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Mastering PostGIS. Modern ways to create, analyze, and implement spatial data
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Python: End-to-end Data Analysis. Leverage the power of Python to clean, scrape, analyze, and visualize your data
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Python Machine Learning By Example. The easiest way to get into machine learning
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Mastering PostgreSQL 9.6. A comprehensive guide for PostgreSQL 9.6 developers and administrators
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Python Web Scraping. Hands-on data scraping and crawling using PyQT, Selnium, HTML and Python - Second Edition
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Hadoop 2.x Administration Cookbook. Administer and maintain large Apache Hadoop clusters
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Learning Social Media Analytics with R. Transform data from social media platforms into actionable business insights
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D3.js 4.x Data Visualization. Learn to visualize your data with JavaScript - Third Edition
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Machine Learning with Spark. Develop intelligent, distributed machine learning systems - Second Edition
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Building Blockchain Projects. Building decentralized Blockchain applications with Ethereum and Solidity
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Learning Data Mining with Python. Use Python to manipulate data and build predictive models - Second Edition
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Mastering Java for Data Science. Analytics and more for production-ready applications
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Deep Learning with Keras. Implementing deep learning models and neural networks with the power of Python
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Spatial Analytics with ArcGIS. Build powerful insights with spatial analytics
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Effective Amazon Machine Learning. Expert web services for machine learning on cloud
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Learning Apache Cassandra. Managing fault-tolerant, scalable data with high performance - Second Edition
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Deep Learning with TensorFlow. Explore neural networks with Python
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Mastering Machine Learning with R. Advanced prediction, algorithms, and learning methods with R 3.x - Second Edition
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Practical Machine Learning Cookbook. Supervised and unsupervised machine learning simplified
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Python: Data Analytics and Visualization. Perform data processing and analysis with the help of python libraries, gain practical insights into predictive modeling and generate effective results in a variety of visually appealing charts using the plotting packages in Python
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Mastering Spark for Data Science. Lightning fast and scalable data science solutions
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PostgreSQL High Performance Cookbook. Mastering query optimization, database monitoring, and performance-tuning for PostgreSQL
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Java Data Science Cookbook. Explore the power of MLlib, DL4j, Weka, and more
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Learning Apache Spark 2. A beginner’s guide to real-time Big Data processing using the Apache Spark framework
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Python Data Analysis. Data manipulation and complex data analysis with Python - Second Edition
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Learning Quantitative Finance with R. Implement machine learning, time-series analysis, algorithmic trading and more
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Mastering Blockchain. Deeper insights into decentralization, cryptography, Bitcoin, and popular Blockchain frameworks
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Effective Business Intelligence with QuickSight. Boost your business IQ with Amazon QuickSight
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Big Data Visualization. Bring scalability and dynamics to your Big Data visualization
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Data Visualization with D3 4.x Cookbook. Visualization Strategies for Tackling Dirty Data - Second Edition
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Mastering Elastic Stack. Dive into data analysis with a pursuit of mastering ELK Stack on real-world scenarios
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QGIS:Becoming a GIS Power User. Master data management, visualization, and spatial analysis techniques in QGIS and become a GIS power user
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Splunk: Enterprise Operational Intelligence Delivered. Machine data made accessible
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Learning PySpark. Click here to enter text
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Go Design Patterns. Best practices in software development and CSP
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Scala: Guide for Data Science Professionals. Build robust data pipelines with Scala
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Mastering Elasticsearch 5.x. Master the intricacies of Elasticsearch 5 and use it to create flexible and scalable search solutions - Third Edition
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Deep Learning with Hadoop. Distributed Deep Learning with Large-Scale Data
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Learning Kibana 5.0. Exploit the visualization capabilities of Kibana and build powerful interactive dashboards
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TensorFlow Machine Learning Cookbook. Over 60 practical recipes to help you master Google’s TensorFlow machine learning library
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Elasticsearch 5.x Cookbook. Distributed Search and Analytics - Third Edition
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Java for Data Science. Examine the techniques and Java tools supporting the growing field of data science
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Mastering Text Mining with R. Extract and recognize your text data
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Tableau Cookbook - Recipes for Data Visualization. Click here to enter text
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Scientific Computing with Python 3. Click here to enter text
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Apache Spark for Data Science Cookbook. Solve real-world analytical problems
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Fast Data Processing Systems with SMACK Stack. Click here to enter text
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Practical Business Intelligence. Optimize Business Intelligence for Efficient Data Analysis
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Mastering RethinkDB. Master the skills of building real-time apps dramatically easier with open source, scalable database - RethinkDB
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Principles of Data Science. Mathematical techniques and theory to succeed in data-driven industries
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Learning Jupyter. Select, Share, Interact and Integrate with Jupyter Not
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Tableau 10 Business Intelligence Cookbook. Create powerful, effective visualizations with Tableau 10
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Bayesian Analysis with Python. Click here to enter text
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R: Recipes for Analysis, Visualization and Machine Learning. Click here to enter text
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Python: Real World Machine Learning. Take your Python Machine learning skills to the next level
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Learning R Programming. Language, tools, and practical techniques
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Python Data Science Essentials. Learn the fundamentals of Data Science with Python - Second Edition
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Fast Data Processing with Spark 2. Accelerate your data for rapid insight - Third Edition
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R: Unleash Machine Learning Techniques. Smarter data analytics
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Hadoop Blueprints. Click here to enter text
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Julia for Data Science. high-performance computing simplified
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Practical Data Analysis. Pandas, MongoDB, Apache Spark, and more - Second Edition
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Smart Internet of Things Projects. Click here to enter text
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Spark for Data Science. Click here to enter text
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Splunk Best Practices. Operational intelligent made simpler
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Hadoop: Data Processing and Modelling. Data Processing and Modelling
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Learning Splunk Web Framework. Create, extend and publish real time Splunk applications
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Mastering Predictive Analytics with Python. Click here to enter text
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Tableau: Creating Interactive Data Visualizations. Creating Interactive Data Visualizations
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Android High Performance Programming. Click here to enter text
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Introduction to R for Business Intelligence. Profit optimization using data mining, data analysis, and Business Intelligence
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Big Data Analytics with R. Leverage R Programming to uncover hidden patterns in your Big Data
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Machine Learning for the Web. Gaining insight and intelligence from the internet with Python
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Mastering Business Intelligence with MicroStrategy. Master Business Intelligence with Microstrategy 10
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R for Data Science Cookbook. Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques
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Smarter Decisions - The Intersection of Internet of Things and Decision Science. A comprehensive guide for solving IoT business problems using decision science
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Advanced Machine Learning with Python. Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python
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Python Data Analysis Cookbook. Clean, scrape, analyze, and visualize data with the power of Python!
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Learning ArcGIS Runtime SDK for .NET. Build a GIS app Using ArcGIS Runtime SDK
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Simulation for Data Science with R. Effective Data-driven Decision Making
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Mastering Scala Machine Learning. Advance your skills in efficient data analysis and data processing using the powerful tools of Scala, Spark, and Hadoop
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Mastering Python Data Analysis. Become an expert at using Python for advanced statistical analysis of data using real-world examples
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R: Data Analysis and Visualization. Click here to enter text
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Python Machine Learning Cookbook. 100 recipes that teach you how to perform various machine learning tasks in the real world
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Advanced Splunk. Click here to enter text
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Python: Real-World Data Science. Real-World Data Science
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Splunk Operational Intelligence Cookbook. Transform Big Data into business-critical insights and rethink operational Intelligence with Splunk - Second Edition
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Mastering Parallel Programming with R. Master the robust features of R parallel programming to accelerate your data science computations
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Apache Spark Machine Learning Blueprints. Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide
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Learning Probabilistic Graphical Models in R. Familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R
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OpenStack Sahara Essentials. Integrate, deploy, rapidly configure, and successfully manage your own big data-intensive clusters in the cloud using OpenStack Sahara