Ein praktischer Leitfaden zur Nutzung von Python für die Datenanalyse, der sich auf Bibliotheken wie Pandas und NumPy konzentriert. Die Ressource bietet nützliche Tipps zur Datenverarbeitung und Visualisierung.
An extensive guide providing a structured approach to learning machine learning concepts and techniques. It includes practical projects and exercises to enhance your skills in Python and popular ML libraries.
Frappe is a full-stack web application framework built with Python and JavaScript, aimed at building complex applications with minimal code. It comes with built-in support for CRUD operations and a powerful ORM, making it ideal for rapid application development.
Dash is an open-source framework for building analytical web applications, offering several built-in components for interactivity. With its Pythonic API and flexibility, it’s a favorite for data scientists looking to visualize data seamlessly.
A micro web framework for Python that is easy to learn and a great choice for building small-scale applications. Flask provides simplicity, flexibility, and fine-grained control over your application structure.
FastAPI is a modern, fast (high-performance) web framework for building APIs with Python 3.6+ based on standard Python type hints. It is designed to create RESTful APIs quickly and efficiently, providing automatic validation and API documentation.
Frappe is a web application framework that allows developers to quickly build scalable, full-stack applications using Python and JavaScript. Its built-in user interface tools simplify frontend development while maintaining a strong backend architecture.
Flask-RESTPlus is an extension for Flask that simplifies the creation of REST APIs. It integrates seamlessly with Flask applications, providing powerful tools for input validation, serialization, and document generation.