Book of the Week

Each week we have a book author coming to DataTalks.Club to answer your questions about their book and, in general, about the topic of their book.

• Register on DataTalks.Club
• Join the #book-of-the-week channel in our Slack
• Ask as many questions as you’d like
• The book authors answer questions from Monday till Thursday
• On Friday, the authors decide who wins free copies of their book

Upcoming books

Data Storytelling with Altair and AI

by Angelica Lo Duca

from 02 Sep 2024 to 06 Sep 2024

More info

Archive

• AI Data Privacy and Protection by Mario Lazo, Justin Ryan (from 15 Jul 2024 to 19 Jul 2024)
• Prompt Engineering for Generative AI by Michael Taylor, James Phoenix (from 01 Jul 2024 to 05 Jul 2024)
• Fundamentals of Data Observability by Andy Petrella (from 29 Apr 2024 to 03 May 2024)
• Understanding ETL by Matt Palmer (from 15 Apr 2024 to 19 Apr 2024)
• Data-Centric Machine Learning with Python by Nakul Bajaj, Jonas Christensen, Manmohan Gosada (from 08 Apr 2024 to 12 Apr 2024)
• Creating Intelligent Products by Janna Lipenkova (from 05 Feb 2024 to 09 Feb 2024)
• Distributed Machine Learning Patterns by Yuan Tang (from 15 Jan 2024 to 19 Jan 2024)
• Analytics Engineering with SQL and DBT by Rui Machado, Hélder Russa (from 06 Nov 2023 to 10 Nov 2023)
• Driving Data Quality with Data Contracts by Andrew Jones (from 07 Aug 2023 to 11 Aug 2023)
• Hands-on Time Series Analysis with Python by Ashish Patel, Vishwas BV (from 12 Jun 2023 to 16 Jun 2023)
• Modeling Mindsets by Christoph Molnar (from 29 May 2023 to 02 Jun 2023)
• GPT-3 by Sandra Kublik, Shubham Saboo (from 06 Mar 2023 to 10 Mar 2023)
• Snowflake: The Definitive Guide by Joyce Kay Avila (from 23 Jan 2023 to 27 Jan 2023)
• Reliable Machine Learning by Todd Underwood, Kranti K. Parisa, Cathy Chen, Niall Murphy (from 05 Dec 2022 to 09 Dec 2022)
• Machine Learning on Kubernetes by Ross Brigoli, Faisal Masood (from 07 Nov 2022 to 11 Nov 2022)
• Comet for Data Science by Angelica Lo Duca (from 24 Oct 2022 to 28 Oct 2022)
• Managing Machine Learning Projects by Simon Thompson (from 10 Oct 2022 to 14 Oct 2022)
• Graph Algorithms for Data Science by Tomaz Bratanic (from 26 Sep 2022 to 30 Sep 2022)
• The Kaggle Book by Luca Massaron, Konrad Banachewicz (from 19 Sep 2022 to 23 Sep 2022)
• Skills of a Successful Software Engineer by Fernando Doglio (from 12 Sep 2022 to 16 Sep 2022)
• Essential Math for Data Science by Thomas Nield (from 29 Aug 2022 to 02 Sep 2022)
• Fundamentals of Data Engineering by Joe Reis, Matthew Housley (from 15 Aug 2022 to 19 Aug 2022)
• Data Analytics Initiatives by Ondřej Kubera, David Bednar, Ondřej Bothe, Martin Potančok (from 01 Aug 2022 to 05 Aug 2022)
• Hands-On Data Analysis with Pandas - Second Edition by Stefanie Molin (from 18 Jul 2022 to 22 Jul 2022)
• Grokking Streaming Systems by Josh Fischer, Ning Wang (from 04 Jul 2022 to 08 Jul 2022)
• Designing Machine Learning Systems by Chip Huyen (from 27 Jun 2022 to 01 Jul 2022)
• Python Machine Learning By Example by Hayden Liu (from 20 Jun 2022 to 24 Jun 2022)
• AI-Powered Business Intelligence by Tobias Zwingmann (from 06 Jun 2022 to 10 Jun 2022)
• Practical Fairness by Nielsen Aileen (from 23 May 2022 to 27 May 2022)
• Everyday ML Questions by Santiago Valdarrama, Vladimir Haltakov (from 16 May 2022 to 20 May 2022)
• Artificial Intelligence with Python by Prateek Joshi (from 09 May 2022 to 13 May 2022)
• Natural Language Processing with Transformers by Leandro von Werra, Lewis Tunstall, Thomas Wolf (from 25 Apr 2022 to 29 Apr 2022)
• Interpretable Machine Learning by Christoph Molnar (from 11 Apr 2022 to 15 Apr 2022)
• Serverless Analytics with Amazon Athena by Anthony Virtuoso (from 28 Mar 2022 to 01 Apr 2022)
• Data Engineering with Apache Spark, Delta Lake, and Lakehouse by Manoj Kukreja (from 14 Mar 2022 to 18 Mar 2022)
• Hands-On Data Preprocessing in Python by Roy Jafari (from 28 Feb 2022 to 04 Mar 2022)
• A Visual Introduction to Deep Learning by Meor Amer (from 14 Feb 2022 to 18 Feb 2022)
• Effective Pandas by Matt Harrison (from 31 Jan 2022 to 04 Feb 2022)
• Machine Learning Engineering with Python by Andrew McMahon (from 10 Jan 2022 to 21 Jan 2022)
• Mastering spaCy by Duygu Altinok (from 13 Dec 2021 to 17 Dec 2021)
• Deep Learning with fastai Cookbook by Mark Ryan (from 06 Dec 2021 to 10 Dec 2021)
• Own Your Tech Career by Don Jones (from 29 Nov 2021 to 03 Dec 2021)
• Building Machine Learning Powered Applications by Emmanuel Ameisen (from 22 Nov 2021 to 26 Nov 2021)
• Ace The Data Science Interview by Kevin Huo, Nick Singh (from 15 Nov 2021 to 19 Nov 2021)
• Generative AI with Python and TensorFlow 2 by Joseph Babcock, Raghav Bali (from 08 Nov 2021 to 12 Nov 2021)
• AI-Powered Search by Trey Grainger, Doug Turnbull, Max Irwin (from 01 Nov 2021 to 05 Nov 2021)
• Data Analysis with Python and PySpark by Jonathan Rioux (from 25 Oct 2021 to 29 Oct 2021)
• Blueprints for Text Analytics Using Python by Jens Albrecht, Sidharth Ramachandran, Christian Winkler (from 18 Oct 2021 to 22 Oct 2021)
• Mastering Transformers by Savaş Yıldırım, Meysam Asgari-Chenaghlu (from 11 Oct 2021 to 15 Oct 2021)
• Transfer Learning in Action by Dipanjan Sarkar, Raghav Bali (from 04 Oct 2021 to 08 Oct 2021)
• Effective Data Science Infrastructure by Ville Tuulos (from 27 Sep 2021 to 01 Oct 2021)
• Python Feature Engineering Cookbook by Soledad Galli (from 20 Sep 2021 to 24 Sep 2021)
• DataOps for Dummies by Justin Mullen, Guy Adams (from 13 Sep 2021 to 17 Sep 2021)
• Software Mistakes and Tradeoffs by Tomasz Lelek, Jon Skeet (from 06 Sep 2021 to 10 Sep 2021)
• Practical MLOps by Noah Gift, Alfredo Deza (from 30 Aug 2021 to 03 Sep 2021)
• Business Skills for Data Scientists by David Stephenson (from 23 Aug 2021 to 27 Aug 2021)
• Tuning Up by David Sweet (from 16 Aug 2021 to 20 Aug 2021)
• Grokking Machine Learning by Luis Serrano (from 09 Aug 2021 to 13 Aug 2021)
• Practical Recommender Systems by Kim Falk (from 02 Aug 2021 to 06 Aug 2021)
• Applied Natural Language Processing in the Enterprise by Ankur A. Patel, Ajay Uppili Arasanipalai (from 26 Jul 2021 to 30 Jul 2021)
• Interpretable Machine Learning with Python by Serg Masis (from 19 Jul 2021 to 23 Jul 2021)
• Relevant Search by Doug Turnbull, John Berryman (from 12 Jul 2021 to 16 Jul 2021)
• Engineering MLOps by Emmanuel Raj (from 05 Jul 2021 to 09 Jul 2021)
• Data Science on AWS by Chris Fregly, Antje Barth (from 28 Jun 2021 to 02 Jul 2021)
• Cleaning Data for Effective Data Science by David Mertz (from 21 Jun 2021 to 25 Jun 2021)
• Graph Databases in Action by Dave Bechberger, Josh Perryman (from 14 Jun 2021 to 18 Jun 2021)
• Building Machine Learning Pipelines by Hannes Hapke, Catherine Nelson (from 07 Jun 2021 to 11 Jun 2021)
• Advanced Algorithms and Data Structures by Marcello La Rocca (from 31 May 2021 to 04 Jun 2021)
• Data Governance: The Definitive Guide by Evren Eryurek, Uri Gilad, Valliappa Lakshmanan, Anita Kibunguchy-Grant, Jessi Ashdown (from 24 May 2021 to 28 May 2021)
• Grokking Deep Reinforcement Learning by Miguel Morales (from 17 May 2021 to 21 May 2021)
• The Coding Career Handbook by Shawn Swyx Wang (from 10 May 2021 to 14 May 2021)
• Machine Learning Using TensorFlow Cookbook by Alexia Audevart, Konrad Banachewicz, Luca Massaron (from 03 May 2021 to 07 May 2021)
• Tiny Python Projects by Ken Youens-Clark (from 26 Apr 2021 to 30 Apr 2021)
• Transformers for Natural Language Processing by Denis Rothman (from 19 Apr 2021 to 23 Apr 2021)
• AI and Machine Learning for Coders by Laurence Moroney (from 12 Apr 2021 to 16 Apr 2021)
• The Practitioner's Guide to Graph Data by Denise Gosnell (from 05 Apr 2021 to 09 Apr 2021)
• Learning Tensorflow.js by Gant Laborde (from 29 Mar 2021 to 02 Apr 2021)
• Street Coder by Sedat Kapanoglu (from 22 Mar 2021 to 26 Mar 2021)
• Database Internals by Alex Petrov (from 15 Mar 2021 to 19 Mar 2021)
• Designing Data-Intensive Applications by Martin Kleppmann (from 08 Mar 2021 to 12 Mar 2021)
• Machine Learning Engineering in Action by Ben Wilson (from 01 Mar 2021 to 05 Mar 2021)
• Machine Learning for Algorithmic Trading by Stefan Jansen (from 22 Feb 2021 to 26 Feb 2021)
• Math for Programmers by Paul Orland (from 15 Feb 2021 to 19 Feb 2021)
• Machine Learning Design Patterns by Valliappa Lakshmanan, Sara Robinson, Michael Munn (from 08 Feb 2021 to 12 Feb 2021)
• Data Teams by Jesse Anderson (from 01 Feb 2021 to 05 Feb 2021)
• Mastering Machine Learning Algorithms - Second Edition by Giuseppe Bonaccorso (from 25 Jan 2021 to 29 Jan 2021)
• Deep Learning with Structured Data by Mark Ryan (from 18 Jan 2021 to 22 Jan 2021)
• Reinforcement Learning by Phil Winder (from 11 Jan 2021 to 15 Jan 2021)
• Machine Learning Bookcamp by Alexey Grigorev (from 14 Dec 2020 to 18 Dec 2020)