Roadmap for Python Engineers at Swetrix - Ultimate open-source web analytics service.

Senior Python Developer Roadmap

Authors

• Yehor Dremliuha
• Olexandr Kamenivskyy
• Udodenko Andrii
• Vlad Tovstonoh
• Boyar Yehor

Base

1. Introduction to Python (Features, Why?)
2. Download and install IDE
3. Primitive Datatypes, int/float/str/bool
4. Assignment Operator ( = ) + print/input
5. Arithmetic Operator (+,-,*,/,//,%,**)
6. Relational Operator (>/< /<= />= /== /!=)
7. Logical Operators (and or not)
8. Conditional Operator (if/elif/else)
9. Loops (for/while)
10. Data types/structures (Numbers, Strings, Lists, Tuples, Dictionaries, Sets, Booleans) + Mutable/Immutable classification
11. Writing comments
12. PyCharm Guide
13. Debugging(complete tutorial)

Functional Programming

14. Functions

• Intro to Functions
• Real World Examples
• Concepts of functional programming
• Functions definition
• Functions with return values
• Variable number of arguments, Default arguments and Named arguments
• Optional arguments (args*, **kwargs)
• Higher-order functions
• Closures
• Global, local, nonlocal and builtin functions
• Decorators
• Anonymous functions
• Function pointers
• Function composition
• Function currying
• Function memoization
• Partial functions
• Function overloading
• Recursion
• Function annotations
• Design of the program

15. Files

• The definition of File
  1. File types (Text/Binary, etc..)
  2. How it (File System) works in OS (pointer, etc..)
• How to work with files in python (open, read/write, close)
  1. Modes
  2. Methods/Attributes
  3. File exceptions handling
  4. Full/Absolute paths
• How to work with files of different format
  1. CSV
  2. JSON
  3. XML
  4. YAML
  5. Pickle

16. Exceptions

• What is an exception?
• How to handle exceptions?
• How to raise exceptions?
• How to create custom exceptions?

17. Imports

• What is a module? (Difference between a Module and a Script/Folder)
• How to import a module?
• How to import a module with a different name?
• If name == 'main':

18. Iterators
19. Generators
20. Environments + Package Managers + poetry
21. Data_Structures(Advanced)

Object Oriented Programming

22. BASE

• Introduction
• Classes
• Inheritance
• Polymorphism
• Encapsulation
• Abstraction

23. INTERMEDIATE

• Advanced techniques
• Enums
• Events delegates
• Mixin
• Descriptors
• Slots
• Dataclasses

24. ADVANCED

• Design principles
• Design patterns
• Python '!=' Is Not 'is not' (Comparing Objects)
• Context managers
• Type checking
• SOLID

25. Programming principles

Advanced

26. Working with DB in python
27. Logging
28. Testing
29. Algorithms
30. Regular_expressions
31. Refactoring + Code Review Concepts
32. Proggramming Principles (DRY, KISS, YAGNI)
33. Documenting python code (https://realpython.com/documenting-python-code/#why-documenting-your-code-is-so-important)

Speed up your code

36. Concurrent_vs_Parallel Programming

• Threading
• Scheduling
• Thread lifecycle
• Data races
• Mutual exclusion
• Procedures consumer

37. Gil(Threading)
38. Multiprocessing
39. Coroutines/ Asynchronous Programming
40. Asyncio
41. Garbage Collection

⬆️ These topics - are incredibly important for python developers. I have been using listed resources down below for a long time and I can say that they are the best. I recommend it to everyone who wants to learn advanced python.

Courses

Baron and Olivia

1. https://www.linkedin.com/learning/python-parallel-and-concurrent-programming-part-1/learn-parallel-programming-basics?u=106534538
2. https://www.linkedin.com/learning/python-parallel-and-concurrent-programming-part-2/learn-parallel-programming-basics?u=106534538

The best website for fast python

1. https://superfastpython.com/
2. https://superfastpython.com/python-concurrency-guides/

Additional stack:

42. SQL/NoSQL
43. GIT
44. Linux
45. Docker/Kubernetes
46. AWS/Azure
47. CI/CD
48. Q/A