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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Data Engineering with Google Cloud Platform. A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud - Second Edition
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Extending Excel with Python and R. Unlock the potential of analytics languages for advanced data manipulation and visualization
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Mastering NLP from Foundations to LLMs. Apply advanced rule-based techniques to LLMs and solve real-world business problems using Python
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Unleashing the Power of Data with Trusted AI. A guide for board members and executives
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Deep Learning for Time Series Cookbook. Use PyTorch and Python recipes for forecasting, classification, and anomaly detection
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Fundamentals of Analytics Engineering. An introduction to building end-to-end analytics solutions
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The Definitive Guide to Data Integration. Unlock the power of data integration to efficiently manage, transform, and analyze data
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The Definitive Guide to Power Query (M). Mastering complex data transformation with Power Query
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Building Interactive Dashboards in Microsoft 365 Excel. Harness the new features and formulae in M365 Excel to create dynamic, automated dashboards
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Data-Centric Machine Learning with Python. The ultimate guide to engineering and deploying high-quality models based on good data
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Data Cleaning with Power BI. The definitive guide to transforming dirty data into actionable insights
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Kibana 8.x - A Quick Start Guide to Data Analysis. Learn about data exploration, visualization, and dashboard building with Kibana
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Learn Microsoft Fabric. A practical guide to performing data analytics in the era of artificial intelligence
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Transformers for Natural Language Processing and Computer Vision. Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3 - Third Edition
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Azure Data Factory Cookbook. Build ETL, Hybrid ETL, and ELT pipelines using ADF, Synapse Analytics, Fabric and Databricks - Second Edition
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Data Engineering with Scala and Spark. Build streaming and batch pipelines that process massive amounts of data using Scala
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Principles of Data Science. A beginner's guide to essential math and coding skills for data fluency and machine learning - Third Edition
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Data Observability for Data Engineering. Proactive strategies for ensuring data accuracy and addressing broken data pipelines
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The Deep Learning Architect's Handbook. Build and deploy production-ready DL solutions leveraging the latest Python techniques
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Developing Kaggle Notebooks. Pave your way to becoming a Kaggle Notebooks Grandmaster
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Learn Grafana 10.x. A beginner's guide to practical data analytics, interactive dashboards, and observability - Second Edition
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Data Modeling with Microsoft Excel. Model and analyze data using Power Pivot, DAX, and Cube functions
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Vector Search for Practitioners with Elastic. A toolkit for building NLP solutions for search, observability, and security using vector search
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Data Exploration and Preparation with BigQuery. A practical guide to cleaning, transforming, and analyzing data for business insights
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Cracking the Data Engineering Interview. Land your dream job with the help of resume-building tips, over 100 mock questions, and a unique portfolio
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Alteryx Designer Cookbook. Over 60 recipes to transform your data into insights and take your productivity to a new level
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Learn PostgreSQL. Use, manage, and build secure and scalable databases with PostgreSQL 16 - Second Edition
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Building ETL Pipelines with Python. Create and deploy enterprise-ready ETL pipelines by employing modern methods
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Practical Data Quality. Learn practical, real-world strategies to transform the quality of data in your organization
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Data Wrangling on AWS. Clean and organize complex data for analysis
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Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL
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AI & Data Literacy. Empowering Citizens of Data Science
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Data Engineering with dbt. A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL
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Driving Data Quality with Data Contracts. A comprehensive guide to building reliable, trusted, and effective data platforms
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Enhancing Deep Learning with Bayesian Inference. Create more powerful, robust deep learning systems with Bayesian deep learning in Python
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Exploratory Data Analysis with Python Cookbook. Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data
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Geospatial Data Analytics on AWS. Discover how to manage and analyze geospatial data in the cloud
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Graph Data Modeling in Python. A practical guide to curating, analyzing, and modeling data with graphs
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Natural Language Understanding with Python. Combine natural language technology, deep learning, and large language models to create human-like language comprehension in computer systems
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Data Ingestion with Python Cookbook. A practical guide to ingesting, monitoring, and identifying errors in the data ingestion process
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Data Modeling with Snowflake. A practical guide to accelerating Snowflake development using universal data modeling techniques
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Machine Learning in Microservices. Productionizing microservices architecture for machine learning solutions
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Robo-Advisor with Python. A hands-on guide to building and operating your own Robo-advisor
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Data Wrangling with R. Load, explore, transform and visualize data for modeling with tidyverse libraries
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Learn Azure Synapse Data Explorer. A guide to building real-time analytics solutions to unlock log and telemetry data
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Data Analytics Using Splunk 9.x. A practical guide to implementing Splunk’s features for performing data analysis at scale
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Machine Learning Model Serving Patterns and Best Practices. A definitive guide to deploying, monitoring, and providing accessibility to ML models in production
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CompTIA Data+: DAO-001 Certification Guide. Complete coverage of the new CompTIA Data+ (DAO-001) exam to help you pass on the first attempt
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Graph Data Processing with Cypher. A practical guide to building graph traversal queries using the Cypher syntax on Neo4j
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The Art of Data-Driven Business. Transform your organization into a data-driven one with the power of Python machine learning
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Microsoft Power BI Quick Start Guide. The ultimate beginner's guide to data modeling, visualization, digital storytelling, and more - Third Edition
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Modern Time Series Forecasting with Python. Explore industry-ready time series forecasting using modern machine learning and deep learning
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Machine Learning Techniques for Text. Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluation
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Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models - Second Edition
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Neural Search - From Prototype to Production with Jina. Build deep learning–powered search systems that you can deploy and manage with ease
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Scalable Data Architecture with Java. Build efficient enterprise-grade data architecting solutions using Java
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Serverless ETL and Analytics with AWS Glue. Your comprehensive reference guide to learning about AWS Glue and its features
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SQL for Data Analytics. Harness the power of SQL to extract insights from data - Third Edition
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Data Cleaning and Exploration with Machine Learning. Get to grips with machine learning techniques to achieve sparkling-clean data quickly
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Simplifying Data Engineering and Analytics with Delta. Create analytics-ready data that fuels artificial intelligence and business intelligence
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Practical Deep Learning at Scale with MLflow. Bridge the gap between offline experimentation and online production
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Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale
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Data Democratization with Domo. Bring together every component of your business to make better data-driven decisions using Domo
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The Pandas Workshop. A comprehensive guide to using Python for data analysis with real-world case studies
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Data Forecasting and Segmentation Using Microsoft Excel. Perform data grouping, linear predictions, and time series machine learning statistics without using code
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Deep Learning with PyTorch Lightning. Swiftly build high-performance Artificial Intelligence (AI) models using Python
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The Tableau Workshop. A practical guide to the art of data visualization with Tableau
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Data Engineering with Google Cloud Platform. A practical guide to operationalizing scalable data analytics systems on GCP
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Getting Started with Amazon SageMaker Studio. Learn to build end-to-end machine learning projects in the SageMaker machine learning IDE
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Simplify Big Data Analytics with Amazon EMR. A beginner’s guide to learning and implementing Amazon EMR for building data analytics solutions
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Getting Started with Elastic Stack 8.0. Run powerful and scalable data platforms to search, observe, and secure your organization
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Reproducible Data Science with Pachyderm. Learn how to build version-controlled, end-to-end data pipelines using Pachyderm 2.0
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AI-Powered Commerce. Building the products and services of the future with Commerce.AI
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Extreme DAX. Take your Power BI and Microsoft data analytics skills to the next level
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Digital Transformation and Modernization with IBM API Connect. A practical guide to developing, deploying, and managing high-performance and secure hybrid-cloud APIs
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Data Engineering with AWS. Learn how to design and build cloud-based data transformation pipelines using AWS
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Optimizing Databricks Workloads. Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads
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The TensorFlow Workshop. A hands-on guide to building deep learning models from scratch using real-world datasets
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Digital Transformation with Dataverse for Teams. Become a citizen developer and lead the digital transformation wave with Microsoft Teams and Power Platform
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Essential PySpark for Scalable Data Analytics. A beginner's guide to harnessing the power and ease of PySpark 3
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Data Engineering with Apache Spark, Delta Lake, and Lakehouse. Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way
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Power Query Cookbook. Use effective and powerful queries in Power BI Desktop and Dataflows to prepare and transform your data
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Building Data Science Applications with FastAPI. Develop, manage, and deploy efficient machine learning applications with Python
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LaTeX Beginner's Guide. Create visually appealing texts, articles, and books for business and science using LaTeX - Second Edition
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Microsoft Power BI Cookbook. Gain expertise in Power BI with over 90 hands-on recipes, tips, and use cases - Second Edition
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Up and Running with Affinity Designer. A practical, easy-to-follow guide to get up to speed with the powerful features of Affinity Designer 1.10
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Building Data-Driven Applications with Danfo.js. A practical guide to data analysis and machine learning using JavaScript
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Deep Learning with fastai Cookbook. Leverage the easy-to-use fastai framework to unlock the power of deep learning
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Data Science for Marketing Analytics. A practical guide to forming a killer marketing strategy through data analysis with Python - Second Edition
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Data Processing with Optimus. Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask and PySpark
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Data Analytics Made Easy. Analyze and present data to make informed decisions without writing any code
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3D Graphics Rendering Cookbook. A comprehensive guide to exploring rendering algorithms in modern OpenGL and Vulkan
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Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python
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Empowering Organizations with Power Virtual Agents. A practical guide to building intelligent chatbots with Microsoft Power Platform
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Salesforce Data Architecture and Management. A pragmatic guide for aspiring Salesforce architects and developers to manage, govern, and secure their data effectively
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Software Architecture Patterns for Serverless Systems. Architecting for innovation with events, autonomous services, and micro frontends
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Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions
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Mastering spaCy. An end-to-end practical guide to implementing NLP applications using the Python ecosystem
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Limitless Analytics with Azure Synapse. An end-to-end analytics service for data processing, management, and ingestion for BI and ML
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Expert Data Modeling with Power BI. Get the best out of Power BI by building optimized data models for reporting and business needs
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Mastering Tableau 2021. Implement advanced business intelligence techniques and analytics with Tableau - Third Edition
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Distributed Data Systems with Azure Databricks. Create, deploy, and manage enterprise data pipelines
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Automated Machine Learning with AutoKeras. Deep learning made accessible for everyone with just few lines of coding
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Interactive Dashboards and Data Apps with Plotly and Dash. Harness the power of a fully fledged frontend web framework in Python – no JavaScript required
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Machine Learning Automation with TPOT. Build, validate, and deploy fully automated machine learning models with Python
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Hands-On Data Analysis with Pandas. A Python data science handbook for data collection, wrangling, analysis, and visualization - Second Edition
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Hands-On Financial Trading with Python. A practical guide to using Zipline and other Python libraries for backtesting trading strategies
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Cleaning Data for Effective Data Science. Doing the other 80% of the work with Python, R, and command-line tools
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Scalable Data Streaming with Amazon Kinesis. Design and secure highly available, cost-effective data streaming applications with Amazon Kinesis
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Effortless App Development with Oracle Visual Builder. Boost productivity by building web and mobile applications efficiently using the drag-and-drop approach
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Managing Microsoft Teams: MS-700 Exam Guide. Configure and manage Microsoft Teams workloads and achieve Microsoft 365 certification with ease
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Mastering PyTorch. Build powerful neural network architectures using advanced PyTorch 1.x features
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Practical Threat Intelligence and Data-Driven Threat Hunting. A hands-on guide to threat hunting with the ATT&CK™ Framework and open source tools
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Python Data Analysis. Perform data collection, data processing, wrangling, visualization, and model building using Python - Third Edition
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Python Data Cleaning Cookbook. Modern techniques and Python tools to detect and remove dirty data and extract key insights
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Microsoft Power Platform Functional Consultant: PL-200 Exam Guide. Learn how to customize and configure Microsoft Power Platform and prepare for the PL-200 exam
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The Economics of Data, Analytics, and Digital Transformation. The theorems, laws, and empowerments to guide your organization’s digital transformation
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Codeless Deep Learning with KNIME. Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform
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Data Analytics for Marketing. A practical guide to analyzing marketing data using Python
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Python Data Cleaning Cookbook. Detect and remove dirty data and extract key insights with pandas, machine learning and ChatGPT, Spark, and more - Second Edition