Python

Mastering SciPy. Implement state-of-the-art techniques to visualize solutions to challenging problems in scientific computing, with the use of the SciPy stack

Francisco Javier Blanco-Silva

Mastering spaCy. An end-to-end practical guide to implementing NLP applications using the Python ecosystem

Duygu Altinok

Mastering Terraform. A practical guide to building and deploying infrastructure on AWS, Azure, and GCP

Mark Tinderholt, Armon Dadgar

Mastering Transformers. Build state-of-the-art models from scratch with advanced natural language processing techniques

Savaş Yildirim, Meysam Asgari- Chenaghlu

Mastering Transformers. The Journey from BERT to Large Language Models and Stable Diffusion - Second Edition

Savaş Yildirim, Meysam Asgari- Chenaghlu

Matematyka dyskretna dla praktyków. Algorytmy i uczenie maszynowe w Pythonie

Ryan T. White, Archana Tikayat Ray

Matematyka w programowaniu gier i grafice komputerowej. Tworzenie i renderowanie wirtualnych środowisk 3D oraz praca z nimi

Penny de Byl

Matplotlib for Python Developers. Effective techniques for data visualization with Python - Second Edition

Aldrin Yim, Claire Chung, Allen Yu

Maximizing Tableau Server. A beginner's guide to accessing, sharing, and managing content on Tableau Server

Patrick Sarsfield, Brandi Locker, Adam Mico

MicroPython Cookbook. Over 110 practical recipes for programming embedded systems and microcontrollers with Python

Marwan Alsabbagh

MicroPython Projects. A do-it-yourself guide for embedded developers to build a range of applications using Python

Jacob Beningo

Microsoft Power BI Performance Best Practices. A comprehensive guide to building consistently fast Power BI solutions

Bhavik Merchant, Christopher Webb

Microsoft Power BI Quick Start Guide. Bring your data to life through data modeling, visualization, digital storytelling, and more - Second Edition

Devin Knight, Mitchell Pearson, Bradley Schacht, Erin Ostrowsky

Minikomputer Onion Omega 2. Internet rzeczy i inne zastosowania

Wolfram Donat

Mobile Artificial Intelligence Projects. Develop seven projects on your smartphone using artificial intelligence and deep learning techniques

Karthikeyan NG, Arun Padmanabhan, Matt R. Cole

Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter. Build scalable real-world projects to implement end-to-end neural networks on Android and iOS

Anubhav Singh, Rimjhim Bhadani