Курс Python Developer

На курсі Python ти опануєш популярну професію Python-розробника. Після курсу ти будеш вправно користуватися такими технологіями, як Django, Django Rest Framework, Algorithms, PIP, Python virtualenv, Flask, Pandas, NumPy та багато іншого.

Програма курсу

Python Basics

• Introduction
• Main Concepts
• Numbers
• Strings
• Boolean
• Lists
• Conditional Operators
• Loops
• Functions
• Summary

Course Fundamentals

How to learn effectively.

Python Basics Extended

• Module Overview
• Environment Setup
• Code Style
• Debugging
• Working With Numbers
• Working With Strings
• Lists in Details
• Dict Basics
• Type Conversion
• Loops in Details
• Functions Revisited
• Summary

Git and Terminal

• Environment Setup
• Command Line Basics
• Git Basics
• Working With Branches
• Working With Remote Repo (GitHub)

Python Core

• How to Solve GitHub Tasks
• Mutable Immutable Types
• List and Dict Comprehensions
• Functions in Details
• Decorators
• Classes
• Classes in Details
• Iterators and Generators
• Modules and Imports
• OOP Single Inheritance
• OOP Multiple Inheritance
• OOP Encapsulation Polymorphism Abstraction
• Properties and Descriptors
• Exception Handling
• Exceptions in Details
• File Handling
• Memory Management
• Testing
• Testing in Details
• Basic Modules Overview
• Dict Advanced
• Extra
• Python Practice

SQL Basics

• Introduction to SQL
• SELECT Statement
• WHERE Statement
• NULL Value, LIKE, BETWEEN, and IN Statements
• ORDER BY, LIMIT, DISTINCT
• Aliases
• Aggregate Functions
• GROUP BY Statement
• JOIN Statement
• Functions
• HAVING Statement

Django ORM

• Database Intro
• ORM Intro
• Fields and Relations
• Many-to-Many Relationship
• Queries
• Queries in Details
• ORM Advanced
• Optional: Performance Improvement & Isolation Levels

HTML + CSS Basics

• HTML Basics
• CSS Basics
• Colors and Fonts
• Box Model Basics
• Semantic Basics
• Responsiveness Basics
• CSS Selectors
• Pseudo-Elements and Pseudo-Classes
• Specificity
• Links and URLs
• Images
• Media Queries
• Forms
• Position
• Extra topics

How the Web Works

• Introduction to the web
• OSI model
• HTTP
• Encryption
• API interface
• Security in the Web

Django

• Django Intro
• MVT
• Class-Based Generic Views
• Sessions and Authentication
• Forms
• Forms in Details
• Django Advanced
• Website [Portfolio Project]
• Deploying Django
• Django Practice

Django REST Framework

• Django REST Framework Intro
• Class-Based Views
• Serializers
• Serializers in Details
• Authentication & Permissions
• Django REST Framework Advanced
• DRF JWT and Tests
• Docker
• Docker in DRF
• API [Portfolio Project]
• Test Task Solving
• Connect Backend to Frontend
• DRF Practice

Asynchronous Python

• Introduction and Theoretical Foundation
• Concurrency & Parallelism
• Asyncio

Employment 2.0

• Employment Roadmap
• Preparing Your Resume
• Interview Preparation
• Cover Latter Preparation
• Google, LinkedIn, DOU, Djinni
• How to find and apply for vacancies
• Job Search Tips: Talking to Recruiters
• Work details FAQ

Object Oriented Programming

• Basic Principles
• SOLID Principles

Python Advanced

• SOLID Practice
• FastAPI overview
• FastAPI in details
• Web Scraping
• Selenium
• Scrapy
• Data Analysis
• Pandas & Matplotlib
• ETL & Visualising Practice
• [Portfolio Project]: Web Scraping & Data Analysis Practice
• Tableau
• Machine Learning
• Neural Networks & Classification
• Machine Learning Practice

Algorithms and Data Structures (Old)

• Main Concepts
• Algorithm Complexity
• Data Structures: Array
• Search Algorithms
• Data Structures: Linked List
• Data Structures: Stack
• Data Structures: Queue
• Data Structures: Hash Map
• Data Structures: Hash Set

Algorithms and Data Structure

• Module Overview
• Algorithms complexity
• Arrays
• Binary search
• Two pointers
• Linked lists
• Stack
• Queue
• Trees
• Binary search tree
• Priority queue

Javascript Basics

• Introduction
• Your First JavaScript Program
• Main Concepts
• Numbers
• Strings
• Boolean
• Functions
• Conditional Operators
• Arrays
• Loops
• String Iteration
• String Methods
• Working With Arrays
• Get Ready for the Interview

Career Development

• Mastering Your Probation Period
• PDP and Career Plans
• Salary Review Strategies
• Recruiter Outreach
• How to Find a New Job?
• How to Talk About You Previous Work Experience?
• Career Knowledge Base

Особливості курсу

• Графік навчання в будні (9:00-18:00)
• Проходження відбору на курс
• Онлайн підтримка щодня
• Ком'юніті студентів
• Кар'єрна підтримка впродовж 3 років

Викладачі курсу

• Danylo Tiutiushkin - Python Coach
• Kate Karaush - Student's Coordinator
• Ivan Ramyk - Python developer and coach
• Serhi Leonenko - Python developer and mentor
• Yaroslav Havryliv - Python developer and mentor