Linguaggi di programmazione
Tutorial su Python, C, C++, Java, JavaScript, TypeScript, Go, R e Haskell — dalla sintassi di base alle tecniche avanzate.
1. Advanced Functions - Taking Functions to the Next Level
Building on the foundation of basic functions, this lesson explores advanced function concepts that make code more flexible, reusable, and powerful.
Leggi l'articolo →2. File Handling - Reading, Writing, and Managing Data
File handling is essential for persistent data storage and retrieval. This lesson covers reading from and writing to files, working with different file formats, and managing file operations safely.
Leggi l'articolo →3. Modules & Packages - Organizing and Reusing Code
Modules and packages are essential for organizing code into reusable components. This lesson covers creating your own modules, working with Python's standard library, and managing dependencies with virtual environments.
Leggi l'articolo →4. Object-Oriented Programming (OOP) - Classes and Objects
Object-Oriented Programming is a programming paradigm that uses objects and classes to organize code. This lesson covers creating classes, working with objects, inheritance, polymorphism, and encapsulation.
Leggi l'articolo →5. Advanced Data Structures - Beyond the Basics
Building on basic data structures, this lesson explores advanced concepts including stacks, queues, comprehensions, and complex nested data structures that are essential for efficient programming.
Leggi l'articolo →6. Testing - Ensuring Code Quality
Testing is crucial for ensuring code reliability and preventing bugs. This lesson covers unit testing, testing frameworks, test-driven development, and best practices for writing effective tests.
Leggi l'articolo →Intermediate Level - Problem Solving & OOP
Welcome to the Intermediate Level of your Python learning journey! This level focuses on structured programming, file handling, and object-oriented design. You'll learn to solve more complex problems and organize your co
Leggi l'articolo →1. Advanced Object-Oriented Programming - Professional Design Patterns
Building on intermediate OOP concepts, this lesson explores advanced object-oriented programming techniques including abstract classes, multiple inheritance, advanced magic methods, decorators, and design patterns used i
Leggi l'articolo →2. Functional Programming - Elegant and Efficient Code
Functional programming is a programming paradigm that treats computation as the evaluation of mathematical functions. This lesson explores higher-order functions, closures, decorators, and functional programming techniqu
Leggi l'articolo →3. Concurrency & Parallelism - Efficient Multi-Tasking
Concurrency and parallelism are essential for building efficient applications that can handle multiple tasks simultaneously. This lesson covers threading, multiprocessing, and asyncio for different types of concurrent pr
Leggi l'articolo →4. Data Handling - Pandas, NumPy, and Data Analysis
Data handling is crucial for modern applications. This lesson covers Pandas for data manipulation, NumPy for numerical computing, and practical data analysis techniques used in professional Python development.
Leggi l'articolo →5. Algorithms and Problem Solving - Efficient Solutions
Algorithms are the foundation of efficient programming. This lesson covers essential algorithms including sorting, searching, recursion, dynamic programming, and graph algorithms used in professional software development
Leggi l'articolo →6. Web Development & APIs - Building Modern Applications
Web development and APIs are essential for building modern applications. This lesson covers building web applications, working with REST APIs, and using frameworks like Flask and FastAPI for professional development.
Leggi l'articolo →7. Databases and ORMs - Data Persistence
Databases are essential for storing and managing data in applications. This lesson covers SQLite, SQLAlchemy ORM, database design, and advanced database operations for professional Python development.
Leggi l'articolo →8. Testing & CI/CD - Quality Assurance and Deployment
Testing and CI/CD are essential for maintaining code quality and enabling reliable deployments. This lesson covers advanced testing techniques, continuous integration, and deployment practices for professional Python dev
Leggi l'articolo →9. Deployment and Production - Taking Applications Live
Deployment and production management are crucial for bringing applications to users. This lesson covers packaging, containerization, cloud deployment, and production best practices for professional Python development.
Leggi l'articolo →Advanced Level - Professional Development
Welcome to the Advanced Level of Python programming! This level focuses on professional development practices, advanced concepts, and industry-standard tools and techniques.
Leggi l'articolo →🐍 Comprehensive Python Teaching Materials Overview
This document provides a complete overview of the detailed Python teaching materials created based on the curriculum. The materials are organized into progressive levels with comprehensive lessons, practical examples, an
Leggi l'articolo →🎉🎉🎉 100% COURSE COMPLETION ACHIEVED! 🎉🎉🎉
Method: Automated conversion from Python scripts + manual Session 12 creation
Leggi l'articolo →Python Excel Operations - Complete Course Overview
This comprehensive 12-session course provides everything you need to master Excel operations with Python. Designed for intermediate Python programmers, the course covers reading, writing, formatting, merging, and automat
Leggi l'articolo →How to Arrange This Python Excel Operations Teaching Class
You asked: "In this project, I want to teach students how to use Python with pandas or other modules to operate Excel files, including read/write/merge/insert functions among many Excels. Let me know how to arrange this
Leggi l'articolo →✅ ALL JUPYTER NOTEBOOKS COMPLETED!
All 12 Jupyter notebooks have been successfully created for the Python Excel Operations course!
Leggi l'articolo →Jupyter Notebooks Creation - In Progress
Each notebook will contain: Introduction and learning objectives Code cells with imports Practical examples from the .py scripts Explanatory markdown cells Exercises and practice
Leggi l'articolo →Path to 100% Completion - Jupyter Notebooks
I've created CREATE_NOTEBOOKS_SCRIPT.py that automatically converts all Python scripts to Jupyter notebooks.
Leggi l'articolo →