Python developers are responsible for writing and testing code, debugging programs and connecting applications with third-party web services. Python is commonly used in the following areas:  

• Web Development: Python is ideal for small to medium-sized RESTful web apps, facilitating proof of concept (POC) or MVP implementation 
• Core Development: Python serves as a powerful tool for implementing business logic and developing rapid, flexible and high-quality solutions
• ETL and Web Scraping: Python boasts a rich array of tools for handling Extract, Transform, Load (ETL) processes and web scraping tasks 
• Data Science and Machine Learning: Python’s extensive collection of libraries is widely used in machine learning 
• Scripting: Python is preferred for various scripting tasks due to its simplicity and efficiency

• Part-time job with education within an IT company. As a leading software engineering company, we will help you explore emerging technologies and best practices, ensuring you are equipped with the knowledge that the current market seeks.
• Top-notch learning materials. Our curriculum is designed by specialists with extensive project experience and validated in hundreds of training runs.
• Practice-oriented approach. This comprehensive program focuses on providing you with hands-on experience and practical application of the concepts learned.
• Deep dive into the specialization. Our graduates become highly skilled specialists ready to face complex technical challenges and work with the world's leading customers.
• Support from experienced mentors. We will guide you at advanced training stages, covering your questions and sharing feedback on assigned tasks.

• English speaking level from B2 (Upper-Intermediate) and higher
• Analytical thinking
• General computer science knowledge 
• Understanding of object-oriented principles and design patterns
• Understanding of data structures and algorithms
• Strong Python Core knowledge
• SQL Syntax basics
• Ability to work with self-study materials and meet deadlines

Nice to have:  

• Resourcefulness in solving non-standard tasks 
• Understanding relational database theory and knowledge of SQL Syntax
• Basic understanding of Cloud (AWS or Azure) technology

Python development training involves choosing a direction from the following 4 different ones: Python.Backend, Python.Lifesciences, Python.DataScience, or Python.etl. Once you are selected for the training program, you will be considered for all directions.

Each of these directions covers the following common topics:

• Python (OOP, Decorators, Lambda, Gil)
• Infra (Git, Docker)
• SQL (PostgreSQL, SQL)
• Amazon (S3, Lambda)

When you decide on your specialization, there will be the following additional topics in your curriculum:

Python.Backend

• SQL (SQLAlchemy)
• Amazon (EC2, Serverless)
• Django\Flask
• Celery
• ElasticSearch

Python.Lifesciences

• SQL (SQLAlchemy)
• Amazon (EC2, Serverless)
• Django\Flask
• AirFlow
• DataBricks
• Pandas

Python.DataScience

• Pandas/Pyspark
• NumPy

Python.etl

• Pandas/Pyspark
• Kafka

• Link to learning path
• Lutz M. Learning Python;
• English levels & materials for learners (A1-C1) 
• Python: self-study materials | EPAM Training Portal
• Python practice

Look for more tips and useful links to start your career in IT. Check out our training portal.

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