Hi ,

This week, we’ve handpicked five essential titles, all newly published in October 2024, to advance your Python skills across AI, data science, and machine learning. From time series forecasting and pandas data manipulation to mastering Apache Airflow workflows, building large language models, and creating AI applications with OpenAI APIs, these books are designed for practical, real-world application—each now at upto 30% off.

Bundle up & save more!

Here’s what’s on offer:

Modern Time Series Forecasting with Python - Second Edition by Manu Joseph and Jeffrey Tackes

Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas

>Apply cutting-edge ML and deep learning models to boost forecasting accuracy.

>Explore probabilistic forecasting methods for handling real-world uncertainties.

>Master techniques for deploying robust time series models with PyTorch and pandas.

Pandas Cookbook - Third Edition byWilliam Ayd and Matthew Harrison

Practical recipes for scientific computing, time series, and exploratory data analysis using Python

>Unlock practical recipes for data manipulation, time series analysis, and data exploration.

>Master the latest in pandas 2.x for streamlined data workflows.

>Solve real-world data challenges with clear, structured solutions and advanced techniques.

Apache Airflow Best Practices byDylan Intorf, Dylan Storey, and Kendrick van Doorn

A practical guide to orchestrating data workflow with Apache Airflow

>Build resilient data workflows and pipelines using real-world Apache Airflow use cases.

>Optimize workflow orchestration to scale data operations effectively.

>Implement best practices for Airflow 2.x, from DAG authoring to cloud deployment.

LLM Engineer's Handbook byPaul Iusztin, Maxime Labonne, Julien Chaumond, and Hamza Tahir

Master the art of engineering large language models from concept to production

>Learn how to design, deploy, and optimize LLMs for production use.

>Implement data pipelines, fine-tune models, and manage deployment with MLOps techniques.

>Master advanced LLM operations, including preference alignment and inference optimization.

Building AI Applications with OpenAI APIs - Second Edition byMartin Yanev

Leverage ChatGPT, Whisper, and DALL-E APIs to build 10 innovative AI projects

>Develop AI-powered projects with ChatGPT, Whisper, and DALL-E APIs across 10 innovative projects.

>Integrate AI seamlessly into web and desktop applications, from NLP to speech recognition.

>Monetize your creations by adding payment systems and using fine-tuning for specific applications.