Assess Python

Hey, let’s quickly self evaluate your Python expertise

Sometimes you need to assess your own or a candidate's level of expertise in Python programming. Following statements roughly corresponds to varies level of expertise. A score will be calucalted at the end as a rough evaluation metric. After evaluation you will be able to download csv file to share.

Beginner

Familiar with basic Python syntax and data types (strings, integers, lists, dictionaries).

Can write simple functions and use control flow statements (if, for, while).

Understands the concept of variables and variable scope.

Can use basic Python libraries like math and random.

Knows how to handle errors and exceptions using try/except blocks.

Can read from and write to files.

Understands the basics of object-oriented programming: classes, objects, methods.

Can use basic string and list methods for manipulation.

Knows how to use basic Python data structures like lists, tuples, sets and dictionaries

Can write simple Python scripts to automate tasks.

Advance

Can use Python libraries like flask, numpy, pandas

Understands and uses generators and decorators.

Can write complex functions and classes with multiple methods and attributes.

Understands and uses list comprehensions and lambda functions.

Can use regular expressions for pattern matching in strings.

Understands and uses context managers for resource management.

Can use regular expressions for pattern matching in strings.

Understands and uses context managers for resource management.

Can use advanced Python data structures like sets and frozensets.

Understands and uses Python's memory management and optimization techniques.

Can use Python's built-in functions like map(), filter(), reduce()

Understands and uses Python's module and package system.

Expert

Understands and uses metaclasses and descriptors.

Can write and understand asynchronous code using asyncio

Understands and uses Python's concurrency and parallelism features.

Can use Python's C API to extend Python with C/C++ code.

Understands and uses Python's dynamic typing system to its full extent.

Can write and understand complex decorators and context managers.

Understands and uses Python's garbage collection system.

Proficient in Python's debugging and profiling, using tools like pdb for debugging and cProfile for profiling to optimize code.

Have a deep understanding of Python's Global Interpreter Lock (GIL) and how it affects multithreaded programs.

Have a good understanding of Python's internals, such as bytecode, the Python interpreter's execution model, and how Python's data types are implemented at the C level.

github.com/xaventra/assess-python