Python Developer from scratch for beginners

Basics of Programming in Python

• Installing PyCharm. Installing Python. Creating a project. Project structure
• Introduction to Python. Variables and data types. Data input. Loops and branching
• Variables and data types. Type conversion. Concatenation
• Creating functions. Local variables. return
• Collections. Ordered and unordered collections, mutable and immutable data types, working with dictionaries
• Iterations and loops. Iterators, for loop and while loop, list and dictionary comprehensions, working with nested loops
• Modules and packages. Setting up the environment. import
• Debugging programs
• Objects and classes. Constructors
• Inheritance. Multiple inheritance
• Advanced features. Iterators and generators, lambda functions, decorators
• Exceptions. raise. with
• File handling
• Network operations. Serialization in Python
• Date. Math. JSON
• Multithreading in Python

Algorithms and Data Structures

• Introduction to algorithms. Linear and binary search. Algorithmic problems
• Data structures. Graphs. Memory and data representation, fixed-size arrays, dynamic arrays, linked lists, hash functions and other data structures
• Recursion and sorting. Recursive and base cases, recursive binary search, sorting algorithms, choosing and comparing sorting algorithms
• Algorithm complexity. Time and space complexity of algorithms, Big O notation
• Problem-solving methods. Naive methods, two-pointer method, sliding window method, etc.
• Home project

Final Project

Networking

• Network structure
• HTTP Protocol

Basics of Web Development

• Basics of HTML. Tags and attributes. Semantics
• Basics of CSS. Selectors. Color
• Basics of JavaScript. Variables and types. Branching. Loops
• Arrays. Functions. Collections. OOP
• Asynchronous programming and Date. Promises
• Interacting with the backend

Docker

• Introduction to containerization and Docker
• Installing and configuring Docker
• Basics of working with Docker
• Working with Docker Images
• Docker Compose and orchestration
• Advanced topics and best practices

Basics of SQL

• Introduction to SQL (SQLite, PostgreSQL). Tables, rows, and data types. SELECT query.
• WHERE. Aggregation. Functions COUNT, SUM, MIN, MAX.
• JOIN, LEFT JOIN, RIGHT JOIN.
• Keys. Foreign keys. Table relationships. Constraints.
• Subqueries. WITH. Practical examples.
• INSERT, UPDATE, DELETE, ALTER TABLE

Final Project

Backend with Django

• Introduction to Django. Creating a project. Analyzing a project
• URLs and view functions. URL routing and converters, distributing URLs among applications, view functions
• HTML and Django templates. Tags include, extends, block, context dictionary, branching, loops, links, and filters in templates, including styles, images, and scripts
• Applications in Django
• Django ORM. Defining tables and relationships, Django Shell, CRUD operations in Django ORM, Django Debug Toolbar
• Django Admin. Creating a superuser, registering models in the admin area, localization and translation, configuring the admin area
• Working with forms. Forms in HTML and Django, data processing, integrating Bootstrap styles into HTML forms
• Middleware. Handling requests and responses
• Pytest library. Selective test running, rerunning failed tests, test debugging, markers, fixtures, configuration file, Pytest for Django
• Unittest library. subTest method, test parameterization, fixtures, Unittest in Django
• Data migration and migrations
• Deploying Django projects
• Working with APIs in Django
• Performance optimization
• Internationalization support
• Security of Django applications
• Home project

Project Management on a Remote Server

• Working with a server. Setting up connections, working in the Linux terminal, installing and configuring web and proxy servers, setting up SGI
• Deploying a web application on the server. Monitoring application performance
• Working with containers. Deployment automation. CI/CD
• Additional tools. PostgreSQL, Docker Hub, GitHub Actions
• Working with clouds. Setting up and configuring virtual machines
• Working with AWS. Working with Azure. Google Cloud

Final Project

Architect Skills (pt.1)

• Software Architecture, Client-Server Architecture, MVC
• Development Methodologies
• Design Patterns
• Design Patterns 2

API & REST

• What is an API? Interaction between programs over the network, API First, REST
• Working with external APIs. Client API in Telegram, Bot API in Telegram, processing incoming messages
• Django REST Framework. REST API, tools for testing APIs, serializers, API view functions, view classes
• Django REST Framework. API viewsets and routers, token authentication, JWT + Djoser
• Interaction between frontend and backend. Multi-Page Application vs Single-Page Application
• API documentation, CORS and Same-Origin Policy. PyDoc
• Rate limits and response filtering. Permission checks: Permissions
• Throttling: limiting the number of requests, pagination in API, filtering, sorting, and searching
• Home project

Web Scraping

• Introduction to scraping. Beautiful Soup
• Working with the browser. Selenium
• Scrapy framework

Final Project

Alternative Frameworks

• Flask Framework
• Flask Framework. Creating Your Project
• FastAPI Framework
• FastAPI Framework. Creating Your Project
• Migrations: Alembic Library
• SQLAlchemy

Python & Enterprise

• WebSockets, Aiohttp
• RabbitMQ
• noSQL (Redis, MongoDB)
• Google Services. Google API
• Project. Integrating FastAPI Application with Google Sheets API and Google Drive API

Architect Skills (pt.2)

• Database Design
• Improving Database Performance
• Transactions, ACID, CAD
• Additional Session (NoSQL, Cluster, and Cassandra)
• Additional Session (Sharding, Big Data, MapReduce)

Final Project