بايثون: من الصفر إلى الاحتراف
- 10 days
- جميع المستويات
- 21 الدروس
- 0 اختبار
- 20 الطلاب
- سجل الآن
- € 576,00
الوصف
Course Overview
This intensive, hands-on Python course is designed for anyone interested in mastering Python programming with a focus on practical applications in data science. Whether you're a complete beginner or have some programming experience, this course will take you from the fundamentals to advanced concepts through project-based learning.
Throughout 20 classes of 2-3 hours each, you'll build real-world projects including an Unbeatable Tic Tac Toe game and a full UI + Database Integration project, giving you the skills and confidence to solve complex problems using Python.
The course emphasizes practical, hands-on learning with minimal theory, focusing on building functional applications that demonstrate your growing expertise. By the end, you'll have a portfolio of projects that showcase your abilities to potential employers or clients.
What You Will Learn
Python Fundamentals
Master core Python concepts including variables, data types, control structures, and functions to build a solid programming foundation.
Object-Oriented Programming
Learn to design and implement classes, objects, inheritance, and polymorphism to create modular, reusable code.
Database Integration
Connect Python applications to databases, perform CRUD operations, and optimize queries for efficient data management.
GUI Development
Build interactive desktop applications with intuitive user interfaces using modern Python GUI frameworks.
Algorithm Design
Develop problem-solving skills by implementing efficient algorithms and optimizing code performance.
Project Architecture
Structure large-scale applications using design patterns and best practices for maintainable code.
Version Control
Use Git for tracking changes, collaborating with others, and managing project versions effectively.
Testing & Debugging
Implement testing strategies and debugging techniques to ensure reliable, error-free applications.
Skills You'll Gain
Key Highlights
Training Curriculum
Our comprehensive curriculum is designed to build your Python skills progressively through practical, hands-on projects. Each module focuses on specific competencies directly applicable to real-world programming scenarios.
Basic Programming in Python
Begin your Python journey with the essential building blocks of programming. You'll learn what Python is, how to install it, and work with variables, data types, and basic operations. Progress through control structures like conditionals and loops, and master Python's powerful data structures, including lists, tuples, dictionaries, and sets. You'll also explore comprehensions and generators for more efficient code.
Topics covered: What is Python?, Installing Python, Variables and Data Types, Input and Output, Operations and Priorities, Conditional Statements, Loops, Series (Lists, Tuples, Dictionaries, Sets), Comprehension and Generators
True Functional
Dive deeper into Python's functional programming capabilities. Learn to create and use functions, modules, and explore advanced concepts like generators, inner, and anonymous functions. Master file operations, terminal parameter handling, closures, decorations, and exception handling. You'll also work with configuration files and learn about serialization using JSON.
Topics covered: Functions and Modules, Generator Functions, inner functions, and anonymous functions, Reading files, Reading Terminal parameters, Closures and Decoration, Handle exceptions, Reading Configs, Serialization (JSON and dumps)
Python & OOP
Explore object-oriented programming principles in Python. Learn about classes, objects, access modifiers, and the differences between overloading and overriding. Understand key OOP concepts like composition, encapsulation, inheritance, abstraction, and polymorphism. You'll also work with regular expressions, learn about constructors and static variables, and implement various design patterns.
Topics covered: Classes and Objects, Access Modifiers, Overloading vs Overriding, Composition, Encapsulation, Regex, Inheritance, Abstraction, Polymorphism, Writing Logs, Constructors, Static–class variables, Design Pattern (Singleton, MVC, Immutable, Decorators, Factory, and Template Methods)
CI CD Introduction
Get introduced to Continuous Integration and Continuous Deployment concepts and practices. Understand why CI/CD is important in modern software development and learn about CI/CD pipelines and tools. Explore Git for version control, including commands, components, and architecture. You'll also learn about GitHub's UI, components, management, auditing, collaboration, and the basics of CI/CD implementation.
Topics covered: Understanding CI/CD and concept, Why CI CD is important, CI CD pipeline and tools, Introduction to Git, Git Commands, Components, and Architecture, GitHub VCS UI, Components, and Management, Auditing, collaborating, and Basics of CI / CD
Database
Master database integration with Python applications. Learn to install and configure database systems like Postgres, SQLite, or MySQL. Develop skills in writing basic SQL commands, performing joins and nested queries, and handling large datasets efficiently. You'll connect Python to databases using universal interfaces, read configuration files, build and modify tables programmatically, and extract data frames from databases.
Topics covered: Installing Postgres/SQLite/MySQL (one of them), Basic SQL Commands, Joins and Nested SQLs, Handling big queries, Problem solving with SQL, Python Universal Database Interface, Reading Config Files, Reading Any Database Template, Building and Modifying Tables Using Python, Extracting Data Frames from Database
Desktop GUI & Customizations
Create professional desktop applications with graphical user interfaces. Learn to implement various GUI components, including bars, menus, layouts, and widgets. Handle user events effectively and integrate email APIs. Design and implement settings pages for your applications. The module culminates in a comprehensive 10-hour project that brings together all the skills you've learned.
Topics covered: Bars, Menus, Layouts, Widgets, Events, Email APIs, Setting pages, Project: 10 hours
Potential Job Roles
Problem-Solver Freelancer
Use your Python skills to solve specific problems for clients on a freelance basis.
Support Engineer
Provide technical support and develop automation scripts to improve system efficiency.
Operations Engineer
Maintain and optimize operational systems using Python automation.
Junior Software Developer
Build and maintain software applications as part of a development team.
Desktop Developer
Create desktop applications with intuitive user interfaces using Python GUI frameworks.
Database Engineer
Design, implement, and optimize database systems and their Python integrations.
Algorithms Optimizer
Improve algorithm efficiency and performance in existing systems.
Data Structure Engineer
Design and implement efficient data structures for complex applications.
Software Development Freelancer
Develop complete software solutions for clients as an independent contractor.
Consulting Engineer
Provide expert advice on Python implementation and best practices.

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