Udemy - Master Python - From Beginner to Advanced Projects

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[ DevCourseWeb.com ] Udemy - Master Python - From Beginner to Advanced Projects
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 1 - Getting Started with PyCharm IDE
    • 1 -00-PyCharm-Basics-Install.pdf (39.5 KB)
    • 1 -Installing PyCharm on Windows.en_US.vtt (1.6 KB)
    • 1 -Installing PyCharm on Windows.mp4 (15.6 MB)
    • 2 -Setting Up Your First Project in PyCharm.en_US.vtt (1.5 KB)
    • 2 -Setting Up Your First Project in PyCharm.mp4 (17.0 MB)
    • 3 -Creating and Running Your First Python File.en_US.vtt (1.1 KB)
    • 3 -Creating and Running Your First Python File.mp4 (12.7 MB)
    • 4 -Mastering Debug Mode Breakpoints, Step Over, and Step Into.en_US.vtt (3.3 KB)
    • 4 -Mastering Debug Mode Breakpoints, Step Over, and Step Into.mp4 (36.7 MB)
    2 - Essential Programming Concepts in Python
    • 1 -00-Python-Essential-Concepts-Syntax.pdf (46.9 KB)
    • 1 -Basic Python Syntax Your First Steps in Programming.en_US.vtt (2.7 KB)
    • 1 -Basic Python Syntax Your First Steps in Programming.mp4 (10.7 MB)
    • 10 -09-Python-Essential-Concepts-Loops.pdf (47.0 KB)
    • 10 -Python Loops 101 For, While, Range, Break, and Continue Explained.en_US.vtt (2.6 KB)
    • 10 -Python Loops 101 For, While, Range, Break, and Continue Explained.mp4 (10.6 MB)
    • 11 -10-Python-Essential-Concepts-Import-Modules.pdf (46.3 KB)
    • 11 -How to Import and Use Modules and Libraries in Python.en_US.vtt (2.7 KB)
    • 11 -How to Import and Use Modules and Libraries in Python.mp4 (11.2 MB)
    • 12 -11-Python-Essential-Concepts-Lexical-Scope.pdf (42.8 KB)
    • 12 -Understanding Lexical Scope (Static Scope) in Python.en_US.vtt (2.4 KB)
    • 12 -Understanding Lexical Scope (Static Scope) in Python.mp4 (11.4 MB)
    • 13 -12-Python-Essential-Concepts-Data-Structures.pdf (44.9 KB)
    • 13 -Introduction to Python Data Structures Lists, Tuples, Dictionaries, and Sets.en_US.vtt (3.2 KB)
    • 13 -Introduction to Python Data Structures Lists, Tuples, Dictionaries, and Sets.mp4 (17.6 MB)
    • 14 -13-Python-Essential-Concepts-Type-Conversion.pdf (41.4 KB)
    • 14 -Type Conversion in Python Implicit vs Explicit.en_US.vtt (2.4 KB)
    • 14 -Type Conversion in Python Implicit vs Explicit.mp4 (10.9 MB)
    • 15 -14-Python-Essential-Concepts-Errors.pdf (44.3 KB)
    • 15 -Common Python Errors and How to Handle Them with Try-Except.en_US.vtt (3.0 KB)
    • 15 -Common Python Errors and How to Handle Them with Try-Except.mp4 (13.5 MB)
    • 16 -15-Python-Essential-Concepts-User-Input.pdf (40.9 KB)
    • 16 -Getting User Input in Python A Complete Guide.en_US.vtt (1.9 KB)
    • 16 -Getting User Input in Python A Complete Guide.mp4 (8.5 MB)
    • 2 -01-Python-Essential-Concepts-Numbers.pdf (44.9 KB)
    • 2 -Python Numbers and Math Operators A Beginner’s Guide.en_US.vtt (2.7 KB)
    • 2 -Python Numbers and Math Operators A Beginner’s Guide.mp4 (10.3 MB)
    • 3 -02-Python-Essential-Concepts-Strings.pdf (36.4 KB)
    • 3 -Working with Strings Variables, Operators, and Practical Use.en_US.vtt (1.0 KB)
    • 3 -Working with Strings Variables, Operators, and Practical Use.mp4 (4.5 MB)
    • 4 -03-Python-Essential-Concepts-Functions.pdf (41.4 KB)
    • 4 -How to Declare and Use Functions in Python.en_US.vtt (2.1 KB)
    • 4 -How to Declare and Use Functions in Python.mp4 (8.2 MB)
    • 5 -04-Python-Essential-Concepts-Math-Functions.pdf (40.0 KB)
    • 5 -Exploring Python’s Built-In Math Functions.en_US.vtt (1.1 KB)
    • 5 -Exploring Python’s Built-In Math Functions.mp4 (5.3 MB)
    • 6 -05-Python-Essential-Concepts-String-Functions.pdf (41.3 KB)
    • 6 -Essential Python String Functions for Everyday Use.en_US.vtt (1.5 KB)
    • 6 -Essential Python String Functions for Everyday Use.mp4 (6.7 MB)
    • 7 -06-Python-Essential-Concepts-Boolean-Logic.pdf (37.6 KB)
    • 7 -Understanding Boolean Variables and Boolean Logic in Python.en_US.vtt (1.2 KB)
    • 7 -Understanding Boolean Variables and Boolean Logic in Python.mp4 (6.3 MB)
    • 8 -07-Python-Essential-Concepts-Conditionals.pdf (39.9 KB)
    • 8 -Mastering If, Else, and Elif Making Decisions in Python Code.en_US.vtt (1.8 KB)
    • 8 -Mastering If, Else, and Elif Making Decisions in Python Code.mp4 (7.5 MB)
    • 9 -08-Python-Essential-Concepts-String-Comparison-Operators.pdf (39.8 KB)
    • 9 -How to Compare Strings with Python’s Operators.en_US.vtt (0.9 KB)
    • 9 -How to Compare Strings with Python’s Operators.mp4 (4.2 MB)
    3 - Code Quality and Best Practices in Python
    • 1 -00-Code-Quality-Clean-Code-and-PEP-8.pdf (52.8 KB)
    • 1 -Writing Clean Code Adhering to Python's Official Style (PEP 8).en_US.vtt (4.7 KB)
    • 1 -Writing Clean Code Adhering to Python's Official Style (PEP 8).mp4 (22.0 MB)
    • 2 -01-Code-Quality-Modular-Design.pdf (55.1 KB)
    • 2 -Modular Design in Python Using Modules and Packages Effectively.en_US.vtt (3.1 KB)
    • 2 -Modular Design in Python Using Modules and Packages Effectively.mp4 (12.8 MB)
    • 3 -02-Code-Quality-Documentation.pdf (46.1 KB)
    • 3 -Mastering Documentation Writing Docstrings and Comments.en_US.vtt (2.8 KB)
    • 3 -Mastering Documentation Writing Docstrings and Comments.mp4 (12.8 MB)
    • 4 -03-Code-Quality-Docs-Best-Practices.pdf (41.6 KB)
    • 4 -Best Practices for Python Comments and Documentation.en_US.vtt (1.9 KB)
    • 5 -04-Code-Quality-Google-Style-Docstrings-Introduction.pdf (37.6 KB)
    • 5 -Getting Started with Google Style Docstrings in Python.en_US.vtt (1.5 KB)
    • 5 -Getting Started with Google Style Docstrings in Python.mp4 (7.2 MB)
    • 6 -05-Code-Quality-Google-Style-Docstrings.pdf (41.6 KB)
    • 6 -Mastering Google Style Docstrings for Python.en_US.vtt (2.5 KB)
    • 6 -Mastering Google Style Docstrings for Python.mp4 (12.2 MB)
    • 7 -06-Code-Quality-Pydoc-And-Sphinx.pdf (42.1 KB)
    • 7 -Automatically Generating Documentation with Pydoc and Sphinx.en_US.vtt (2.8 KB)
    • 7 -Automatically Generating Documentation with Pydoc and Sphinx.mp4 (11.3 MB)
    • 8 -07-Code-Quality-Sphinx-Config-File.pdf (45.1 KB)
    • 8 -Configuring Sphinx Editing the conf.py File for Your Project.en_US.vtt (2.0 KB)
    • 8 -Configuring Sphinx Editing the conf.py File for Your Project.mp4 (9.5 MB)
    • 9 -08-Code-Quality-Generate-Docs-Using-Sphinx.pdf (45.7 KB)
    • 9 -Automatically Generate Project Documentation Using Sphinx.en_US.vtt (3.3 KB)
    • 9 -Automatically Generate Project Documentation Using Sphinx.mp4 (14.7 MB)
    4 - Project #1 Simple Fitness Tracker
    • 1 -Creating the Fitness Tracker Project in PyCharm.en_US.vtt (1.1 KB)
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Description

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.



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Udemy - Master Python - From Beginner to Advanced Projects


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912.9 MB
seeders:25
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Udemy - Master Python - From Beginner to Advanced Projects


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