Books
- Introduction to Algorithms and Data StructuresA solid foundation for the real world of machine learning and data analyticsBolakale Aremu
Learning algorithms and data structures from this book will help you become a better programmer. Algorithms and data structures will make you think more logically. Furthermore, they can help you design better systems for storing and processing data. They also serve as a tool for optimization and problem-solving.As a result, the concepts of algor...
- Code to Success: Mastering Web Development from ScratchA Comprehensive Guide to Building Stunning Websites and Web ApplicationsRakesh Tembhurne
Code to Success is the ultimate guide to building stunning websites and web applications. This comprehensive book covers everything from HTML and CSS to Python and JavaScript, making it the perfect resource for beginners and experienced developers alike.
- Mastering Python Network AutomationAutomating Container Orchestration, Configuration, and Networking with Terraform, Calico, HAProxy, and IstioGitforGits | Asian Publishing House
With "Mastering Python Network Automation," you can streamline container orchestration, configuration management, and resilient networking with Python and its libraries, allowing you to emerge as a skilled network engineer or a strong DevOps professional
- A Hands-On Introduction to Essential Python Libraries and Frameworks (With Code Samples)Murat Durmus
Essential Python libraries and frameworks that every aspiring data scientist, ML engineer, and Python developer should know.
- Interpreting Machine Learning Models With SHAPA Guide With Python Examples And Theory On Shapley ValuesChristoph Molnar
Master machine learning interpretability with this comprehensive guide to SHAP – your tool to communicating model insights and building trust in all your machine learning applications.
- OpenAI GPT For Python DevelopersThe art and science of building AI-powered apps with GPT-4, Whisper, Weaviate, and beyondAymen El Amri
Explore the fascinating world of Artificial Intelligence and solve real-world problems! In this practical guide, you will build intelligent real-world applications using GPT-4, Embeddings, Whisper, Weaviate, and more tools from the OpenAI ecosystem. You don't need to be a data scientist or machine learning engineer to follow this guide!
- Algorithm for calculating the moment of inertia of polygonal formsSergio Adrian Martin
The author explains that is moment of inertia, how it could be calculated and shows the program in Python for poligonal shapes.
A comprehensive guide to learning the Python programming language, written so to be accessible to readers of all levels, from beginner python developers to those who have some experience with python. Even more advanced users may find some utility from the later chapters.
- Composing Programs (Turkish)Dr. Sevilay BayatlıNo Description Available
- Shepley Algorithm implemented in PythonSergio Adrian Martin
The author explanis the Shepley's method and how to implemented it with python.
- La règle de Cramer implémentée en PythonSergio Adrian Martin
L'auteur explique ce qu'est la règle de Cramer et comment l'utiliser pour résoudre des systèmes d'équations. Le code Python permettant d'appliquer cette méthode est également inclus.
- Cramer's Rule implemented in PythonSergio Adrian Martin
The author explains the Cramer's rule and how it is used to solve equations. It is included the souce program in Python to apply it.
- Regla de Cramer implementada en PythonSergio Adrian Martin
El autor explica como funciona la regla de Cramer para resolver ecuaciones y como usarla en Python.
- Sistema recursivo de evaluación de determinantes en PythonSergio Adrian Martin
El autor explica el método de la matriz adjunta, su recursividad y el código que correspondería en Python
- Algoritmo de Shepley implementado en PythonSergio Adrian Martin
El de Shepley es un método poco conocido para invertir matrices en el que se requiere de una sola matriz.
