Intro

This is repo for python core studying. It can be used individually, as group or for mentorship.

Data types

01_data_types.ipynb

• Builtin datatypes
• mutable vs immutable - difference, examples
• Assignment
• copy, slice, deepcopy and their comparison.
• collections module (deque, namedtuple, Counter)

02_int_caching.ipynb

• Integer and string caching QUIZ

03_hashable.ipynb

• Hashable QUIZ

Internal implementation of datatypes

04_internal_structures_of_data_types.ipynb

• list
• collections.deque
• dict
• set

Logical operators

05_logical_operators.ipynb

• Evaluation priority
• What do they return
• Lazy evaluation

Scope (LEGB)

06_scopes.ipynb

• Scope definition
• What is the border of scope
• How many scopes
• LEGB order
• Relative scope (the same variable could be in several scopes: global, local)
• locals(), globals()
• How python clarifies that variable is locacl or global in scope of function

Function arguments

07_args.ipynb

• Function arguments
• Function arguments types (args, kwargs)
• Arguments order
• Unpacking
• Passing mutable/immutable argument
• Mutable/immutable variable as default variable value like def func(some_list=[])
• functools.partial
• Lambda functions
• Lambda late binding
• Type hinting

Iterator, Generator

todo

• iterable object, iterator
• ...

Context managers

08_context_managers.ipynb

• What is it, advantages, popular examples
• How to implement as class with __enter__, __exit__
• How to implement with @contextlib.contextmanager

Decorators

• What is decorator
• How to use decorator without @ syntax?
• Decorator examples
• Parametrized decorator
• Flask-app-like decorator example
• Where you can apply decorator?

Enclosure

todo

Memory management

memory_management

• Reference counter
• sys.getrefcount
• Cyclic reference problem
• Garbage collector
• gc module
• Disabling garbage collection
• __del__ problem
• weakrefs