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https://github.com/silvermete0r/skillset_learning_python_projects

Skillset School - projects for improving programming skills for beginner developers.
https://github.com/silvermete0r/skillset_learning_python_projects

learn-to-code project-based-learning python-for-everybody

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Skillset School - projects for improving programming skills for beginner developers.

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README 

          
# Python Developer Roadmap 🐍

> A roadmap to guide you in becoming a strong Python developer, starting from the beginner level. This roadmap outlines the key topics, skills, and resources to help you progress and build a solid foundation in Python development.



> Python Presentation Full Preparation Guide by Skillset School: [>>>Python_Full_Guide<<<](https://drive.google.com/file/d/1iKGxFJ4dZdfM6EHJLkon0i-d4Oj39719/view?usp=sharing)



[![img][img]](https://python.org/)



[![roadmap][roadmap]](https://www.linkedin.com/groups/25827/)



*[>>>Python_Roadmap_SH.pdf<<<](https://github.com/silvermete0r/Skillset_learning_python_projects/files/12035932/Python_Roadmap_SH.pdf)*



## Beginner Level

### Core Python

* Learn the basics of Python syntax, data types, variables, and control flow.

* Understand functions, modules, and packages.

* Explore file handling and input/output operations.

* Study exception handling to effectively handle errors.

### Object-Oriented Programming (OOP)

* Master the fundamentals of OOP in Python, including classes, objects, inheritance, encapsulation, and polymorphism.

* Understand the principles of OOP and how to apply them in Python.

### Data Structures and Algorithms

* Learn essential data structures such as lists, dictionaries, sets, and tuples.

* Study basic algorithms like searching, sorting, and recursion.

* Explore common data structure and algorithmic problems and their solutions.

### Python Standard Library

* Familiarize yourself with the Python Standard Library and its modules, such as `os`, `sys`, `datetime`, `math`, and `random`.

* Understand how to leverage the Standard Library to streamline your development process.

### Working with External Libraries

* Learn how to work with popular Python libraries like `NumPy`, `Pandas`, and `Matplotlib` for data manipulation, analysis, and visualization.

* Explore libraries like `Requests` and `BeautifulSoup` for web scraping and working with APIs.

-----

## Intermediate Level

### Functional Programming

* Learn the principles of functional programming and how to apply them in Python.

* Understand concepts like immutability, pure functions, higher-order functions, and function composition.

* Explore functional programming libraries in Python, such as itertools, functools, and operator.

### Web Development

* Get hands-on experience with web frameworks like Django or Flask to build web applications.

* Learn about routing, templates, forms, authentication, and database integration.

### Database Integration

* Study database concepts and learn how to interact with databases using Python.

* Explore SQL databases like MySQL, PostgreSQL, or NoSQL databases like MongoDB.

### Testing and Test-Driven Development (TDD)

* Learn about advanced testing techniques like mocking, fixtures, and property-based testing.

* Understand the principles of Test-Driven Development (TDD) and how to write tests before writing the code.

* Explore testing frameworks like pytest and tools like Hypothesis for property-based testing.

### Version Control

* Learn how to use Git and GitHub for version control and collaboration.

* Understand concepts like branches, commits, pull requests, and merging.

### APIs and Web Services

* Gain knowledge of building and consuming APIs and working with web services.

* Learn about RESTful API principles and explore libraries like Flask-RESTful or Django REST framework.

-----

## Advanced Level

### Advanced Python Concepts

* Study advanced topics like decorators, generators, context managers, and metaprogramming.

* Understand how to use decorators for adding functionality to functions or classes.

* Learn about generators for creating iterable sequences and context managers for resource management.

### Code Optimization and Profiling

* Learn techniques to optimize and profile your Python code for improved efficiency.

* Understand the use of tools like cProfile and line_profiler to identify performance bottlenecks.

* Explore strategies for optimizing memory usage and reducing computational overhead.

### Advanced Web Development

* Dive deeper into web development concepts like security, scalability, and performance optimization.

* Explore advanced frameworks and tools like `GraphQL`, `Docker`, and `AWS`.

### Concurrency and Parallelism

* Dive deeper into concurrent programming using threads, multiprocessing, and concurrent.futures module.

* Explore parallel computing using libraries like multiprocessing or joblib for performance optimization.

* Learn about distributed computing frameworks like Dask or Ray for scaling computations across multiple machines.

### Security in Python

* Gain knowledge of secure coding practices and common security vulnerabilities.

* Learn how to protect against common web application vulnerabilities like SQL injection and cross-site scripting (XSS).

* Understand how to implement secure authentication and authorization mechanisms.

### Big Data and Distributed Computing

* Explore frameworks like Apache Spark or Dask for processing and analyzing large-scale datasets.

* Learn about distributed computing concepts and architectures.

### Data Science and Machine Learning

* Familiarize yourself with libraries like `Scikit-learn`, `TensorFlow`, and `PyTorch` for data analysis and machine learning.

* Learn about data preprocessing, feature extraction, model training, and evaluation.

### Deployment and DevOps

* Gain knowledge of deploying Python applications to cloud platforms like AWS, Azure, or Google Cloud.

* Understand containerization using tools like Docker and container orchestration with Kubernetes.

* Explore continuous integration and continuous deployment (CI/CD) pipelines.

-----

### Resources

* **Books**: "Python Crash Course" by Eric Matthes, "Fluent Python" by Luciano Ramalho, "Clean Code" by Robert C. Martin.

* **Online Courses**: [Coursera](https://www.coursera.org/) & [Udemy](https://www.udemy.com/).

* **Documentation**: Official Python documentation and library-specific documentation: [python.org/doc](https://www.python.org/doc/).

* **Websites and Blogs**: [w3schools](https://www.w3schools.com/python/), [metanit](https://metanit.com/python/tutorial/), [freecodecamp](https://www.freecodecamp.org/news/tag/python/), [LetPy](https://letpy.com/python-guide/), [Kaggle](https://www.kaggle.com/learn/python), [Hackerrank](https://www.hackerrank.com/domains/python), [Sololearn](https://www.sololearn.com/learning/1073)

* **More Detailed RoadMap**: [Roadmap.sh](https://roadmap.sh/python)

* **Telegram Channels:** [Python/Django](https://t.me/pythonl), [Π‘ΠΈΠ±Π»ΠΈΠΎΡ‚Π΅ΠΊΠ° питониста | Python, Django, Flask](https://t.me/pyproglib)



[img]: https://sun9-13.userapi.com/impg/tARfBxdi0MiKSlkYYJqbWq02AEeDS8fH2fx3Cw/MhJXE-oW-lM.jpg?size=1000x346&quality=95&sign=0f4343d51f0c166261c06e1987554484&type=album

[roadmap]: https://sun9-70.userapi.com/impg/lfMo5CEDWJrSmvmerSddivBeeGjGozblkrJgvA/j56TmEWnJDc.jpg?size=1089x1280&quality=95&sign=7c84da41e05c6d74c56c59dc327c6768&type=album