Udemy - Master Python - From Beginner to Advanced Projects torrent

Master Python: From Beginner to Advanced Projects

https://DevCourseWeb.com

Published 11/2024
Created by Rafael Abreu
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 75 Lectures ( 2h 8m ) | Size: 913 MB

Learn Python programming, build real-world projects, master OOP, SQL, and create professional documentation.

What you'll learn
Set up and use PyCharm IDE effectively to create, debug, and run Python projects.
Understand Python’s basic syntax, variables, loops, conditionals, and error handling.
Master essential Python data structures such as lists, tuples, dictionaries, and sets.
Write clean, maintainable code using PEP 8 guidelines and modular programming principles.
Use Google-style docstrings and Sphinx to create professional project documentation.
Build real-world projects like a fitness tracker and a dice game, showcasing modular design and reusability.
Understand object-oriented programming concepts, including inheritance, polymorphism, and encapsulation.
Work with relational databases by designing schemas, performing CRUD operations, and writing advanced SQL queries.
Use SQL transactions to ensure data consistency and integrity in database operations.
Visualize and design software systems using UML diagrams such as class, sequence, and activity diagrams.
Generate automated documentation for projects using Sphinx and manage its configuration.
Gain confidence in debugging code with breakpoints, step-throughs, and error identification techniques.
Handle user input safely and implement robust input validation in Python applications.
Learn advanced Python concepts such as magic methods, operator overloading, and decorators.
Develop skills to structure Python projects with modules, packages, and good design principles.

Requirements
No prior programming experience is needed—this course is designed for absolute beginners.
A computer with Windows, macOS, or Linux operating system.
An internet connection to download tools and follow along with the course.
A willingness to learn and explore Python programming step by step.