Python Tips

Tip #1: Use f-strings for readable string formatting

Python tip #1: Use f-strings for readable string formatting.

Tip #2: Prefer pathlib over os.path for file paths

Python tip #2: Prefer pathlib over os.path for file paths.

Tip #3: Never use mutable default arguments

Python tip #3: Never use mutable default arguments.

Tip #4: Use 'is None' not '== None'

Python tip #4: Use 'is None' not '== None'.

Tip #5: Unpack with * and _ for unused values

Python tip #5: Unpack with * and _ for unused values.

Tip #6: Use enumerate instead of range(len())

Python tip #6: Use enumerate instead of range(len()).

Tip #7: Use zip to iterate multiple lists together

Python tip #7: Use zip to iterate multiple lists together.

Tip #8: Use any/all for boolean checks on iterables

Python tip #8: Use any/all for boolean checks on iterables.

Tip #9: Use context managers for files and connections

Python tip #9: Use context managers for files and connections.

Tip #10: Use lru_cache for expensive pure functions

Python tip #10: Use lru_cache for expensive pure functions.

Tip #11: Use dataclasses instead of boilerplate classes

Python tip #11: Use dataclasses instead of boilerplate classes.

Tip #12: Use typing for public function signatures

Python tip #12: Use typing for public function signatures.

Tip #13: Use pytest over unittest for new projects

Python tip #13: Use pytest over unittest for new projects.

Tip #14: Use black or ruff format for consistent style

Python tip #14: Use black or ruff format for consistent style.

Tip #15: Use venv for every project

Python tip #15: Use venv for every project.

Tip #16: Pin dependencies in production

Python tip #16: Pin dependencies in production.

Tip #17: Use logging not print in production code

Python tip #17: Use logging not print in production code.

Tip #18: Handle exceptions at the right level

Python tip #18: Handle exceptions at the right level.

Tip #19: Use list comprehensions for simple transforms

Python tip #19: Use list comprehensions for simple transforms.

Tip #20: Use generators for large datasets

Python tip #20: Use generators for large datasets.

Tip #21: Use f-strings for readable string formatting

Python tip #21: Use f-strings for readable string formatting.

Tip #22: Prefer pathlib over os.path for file paths

Python tip #22: Prefer pathlib over os.path for file paths.

Tip #23: Never use mutable default arguments

Python tip #23: Never use mutable default arguments.

Tip #24: Use 'is None' not '== None'

Python tip #24: Use 'is None' not '== None'.

Tip #25: Unpack with * and _ for unused values

Python tip #25: Unpack with * and _ for unused values.

Tip #26: Use enumerate instead of range(len())

Python tip #26: Use enumerate instead of range(len()).

Tip #27: Use zip to iterate multiple lists together

Python tip #27: Use zip to iterate multiple lists together.

Tip #28: Use any/all for boolean checks on iterables

Python tip #28: Use any/all for boolean checks on iterables.

Tip #29: Use context managers for files and connections

Python tip #29: Use context managers for files and connections.

Tip #30: Use lru_cache for expensive pure functions

Python tip #30: Use lru_cache for expensive pure functions.

Tip #31: Use dataclasses instead of boilerplate classes

Python tip #31: Use dataclasses instead of boilerplate classes.

Tip #32: Use typing for public function signatures

Python tip #32: Use typing for public function signatures.

Tip #33: Use pytest over unittest for new projects

Python tip #33: Use pytest over unittest for new projects.

Tip #34: Use black or ruff format for consistent style

Python tip #34: Use black or ruff format for consistent style.

Tip #35: Use venv for every project

Python tip #35: Use venv for every project.

Tip #36: Pin dependencies in production

Python tip #36: Pin dependencies in production.

Tip #37: Use logging not print in production code

Python tip #37: Use logging not print in production code.

Tip #38: Handle exceptions at the right level

Python tip #38: Handle exceptions at the right level.

Tip #39: Use list comprehensions for simple transforms

Python tip #39: Use list comprehensions for simple transforms.

Tip #40: Use generators for large datasets

Python tip #40: Use generators for large datasets.

Tip #41: Use f-strings for readable string formatting

Python tip #41: Use f-strings for readable string formatting.

Tip #42: Prefer pathlib over os.path for file paths

Python tip #42: Prefer pathlib over os.path for file paths.

Tip #43: Never use mutable default arguments

Python tip #43: Never use mutable default arguments.

Tip #44: Use 'is None' not '== None'

Python tip #44: Use 'is None' not '== None'.

Tip #45: Unpack with * and _ for unused values

Python tip #45: Unpack with * and _ for unused values.

Tip #46: Use enumerate instead of range(len())

Python tip #46: Use enumerate instead of range(len()).

Tip #47: Use zip to iterate multiple lists together

Python tip #47: Use zip to iterate multiple lists together.

Tip #48: Use any/all for boolean checks on iterables

Python tip #48: Use any/all for boolean checks on iterables.

Tip #49: Use context managers for files and connections

Python tip #49: Use context managers for files and connections.

Tip #50: Use lru_cache for expensive pure functions

Python tip #50: Use lru_cache for expensive pure functions.

Tip #51: Use dataclasses instead of boilerplate classes

Python tip #51: Use dataclasses instead of boilerplate classes.

Tip #52: Use typing for public function signatures

Python tip #52: Use typing for public function signatures.

Tip #53: Use pytest over unittest for new projects

Python tip #53: Use pytest over unittest for new projects.

Tip #54: Use black or ruff format for consistent style

Python tip #54: Use black or ruff format for consistent style.

Tip #55: Use venv for every project

Python tip #55: Use venv for every project.

Tip #56: Pin dependencies in production

Python tip #56: Pin dependencies in production.

Tip #57: Use logging not print in production code

Python tip #57: Use logging not print in production code.

Tip #58: Handle exceptions at the right level

Python tip #58: Handle exceptions at the right level.

Tip #59: Use list comprehensions for simple transforms

Python tip #59: Use list comprehensions for simple transforms.

Tip #60: Use generators for large datasets

Python tip #60: Use generators for large datasets.

Tip #61: Use f-strings for readable string formatting

Python tip #61: Use f-strings for readable string formatting.

Tip #62: Prefer pathlib over os.path for file paths

Python tip #62: Prefer pathlib over os.path for file paths.

Tip #63: Never use mutable default arguments

Python tip #63: Never use mutable default arguments.

Tip #64: Use 'is None' not '== None'

Python tip #64: Use 'is None' not '== None'.

Tip #65: Unpack with * and _ for unused values

Python tip #65: Unpack with * and _ for unused values.

Tip #66: Use enumerate instead of range(len())

Python tip #66: Use enumerate instead of range(len()).

Tip #67: Use zip to iterate multiple lists together

Python tip #67: Use zip to iterate multiple lists together.

Tip #68: Use any/all for boolean checks on iterables

Python tip #68: Use any/all for boolean checks on iterables.

Tip #69: Use context managers for files and connections

Python tip #69: Use context managers for files and connections.

Tip #70: Use lru_cache for expensive pure functions

Python tip #70: Use lru_cache for expensive pure functions.

Tip #71: Use dataclasses instead of boilerplate classes

Python tip #71: Use dataclasses instead of boilerplate classes.

Tip #72: Use typing for public function signatures

Python tip #72: Use typing for public function signatures.

Tip #73: Use pytest over unittest for new projects

Python tip #73: Use pytest over unittest for new projects.

Tip #74: Use black or ruff format for consistent style

Python tip #74: Use black or ruff format for consistent style.

Tip #75: Use venv for every project

Python tip #75: Use venv for every project.

Tip #76: Pin dependencies in production

Python tip #76: Pin dependencies in production.

Tip #77: Use logging not print in production code

Python tip #77: Use logging not print in production code.

Tip #78: Handle exceptions at the right level

Python tip #78: Handle exceptions at the right level.

Tip #79: Use list comprehensions for simple transforms

Python tip #79: Use list comprehensions for simple transforms.

Tip #80: Use generators for large datasets

Python tip #80: Use generators for large datasets.

Tip #81: Use f-strings for readable string formatting

Python tip #81: Use f-strings for readable string formatting.

Tip #82: Prefer pathlib over os.path for file paths

Python tip #82: Prefer pathlib over os.path for file paths.

Tip #83: Never use mutable default arguments

Python tip #83: Never use mutable default arguments.

Tip #84: Use 'is None' not '== None'

Python tip #84: Use 'is None' not '== None'.

Tip #85: Unpack with * and _ for unused values

Python tip #85: Unpack with * and _ for unused values.

Tip #86: Use enumerate instead of range(len())

Python tip #86: Use enumerate instead of range(len()).

Tip #87: Use zip to iterate multiple lists together

Python tip #87: Use zip to iterate multiple lists together.

Tip #88: Use any/all for boolean checks on iterables

Python tip #88: Use any/all for boolean checks on iterables.

Tip #89: Use context managers for files and connections

Python tip #89: Use context managers for files and connections.

Tip #90: Use lru_cache for expensive pure functions

Python tip #90: Use lru_cache for expensive pure functions.

Tip #91: Use dataclasses instead of boilerplate classes

Python tip #91: Use dataclasses instead of boilerplate classes.

Tip #92: Use typing for public function signatures

Python tip #92: Use typing for public function signatures.

Tip #93: Use pytest over unittest for new projects

Python tip #93: Use pytest over unittest for new projects.

Tip #94: Use black or ruff format for consistent style

Python tip #94: Use black or ruff format for consistent style.

Tip #95: Use venv for every project

Python tip #95: Use venv for every project.

Tip #96: Pin dependencies in production

Python tip #96: Pin dependencies in production.

Tip #97: Use logging not print in production code

Python tip #97: Use logging not print in production code.

Tip #98: Handle exceptions at the right level

Python tip #98: Handle exceptions at the right level.

Tip #99: Use list comprehensions for simple transforms

Python tip #99: Use list comprehensions for simple transforms.

Tip #100: Use generators for large datasets

Python tip #100: Use generators for large datasets.

Tip #101: Use f-strings for readable string formatting

Python tip #101: Use f-strings for readable string formatting.

Tip #102: Prefer pathlib over os.path for file paths

Python tip #102: Prefer pathlib over os.path for file paths.

Tip #103: Never use mutable default arguments

Python tip #103: Never use mutable default arguments.

Tip #104: Use 'is None' not '== None'

Python tip #104: Use 'is None' not '== None'.

Tip #105: Unpack with * and _ for unused values

Python tip #105: Unpack with * and _ for unused values.

Tip #106: Use enumerate instead of range(len())

Python tip #106: Use enumerate instead of range(len()).

Tip #107: Use zip to iterate multiple lists together

Python tip #107: Use zip to iterate multiple lists together.

Tip #108: Use any/all for boolean checks on iterables

Python tip #108: Use any/all for boolean checks on iterables.

Tip #109: Use context managers for files and connections

Python tip #109: Use context managers for files and connections.

Tip #110: Use lru_cache for expensive pure functions

Python tip #110: Use lru_cache for expensive pure functions.

Tip #111: Use dataclasses instead of boilerplate classes

Python tip #111: Use dataclasses instead of boilerplate classes.

Tip #112: Use typing for public function signatures

Python tip #112: Use typing for public function signatures.

Tip #113: Use pytest over unittest for new projects

Python tip #113: Use pytest over unittest for new projects.

Tip #114: Use black or ruff format for consistent style

Python tip #114: Use black or ruff format for consistent style.

Tip #115: Use venv for every project

Python tip #115: Use venv for every project.

Tip #116: Pin dependencies in production

Python tip #116: Pin dependencies in production.

Tip #117: Use logging not print in production code

Python tip #117: Use logging not print in production code.

Tip #118: Handle exceptions at the right level

Python tip #118: Handle exceptions at the right level.

Tip #119: Use list comprehensions for simple transforms

Python tip #119: Use list comprehensions for simple transforms.

Tip #120: Use generators for large datasets

Python tip #120: Use generators for large datasets.