Differences

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--- other:python:misc_by_jyp [2024/09/17 16:33] – Added the Logging section jypeter
+++ other:python:misc_by_jyp [2025/10/31 11:28] (current) – [Using a decorator to log function calls] jypeter
@@ Line 9: / Line 9: @@
 Only **when you have already read all the content of this page several times**, and you are looking for new ideas
+  * [[https://medium.com/data-science/calculating-distance-between-two-geolocations-in-python-26ad3afe287b|Calculating distance between two geo-locations in Python]]:
+    * ''[[https://github.com/mapado/haversine|haversine]]'', ''[[https://scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.haversine_distances.html|haversine_distances]] @ scikit-learn'' and [[https://en.wikipedia.org/wiki/Haversine_formula|Haversine formula]]
+  * Looking at table data with ''pandas''
+    * [[https://blog.devgenius.io/data-profiling-in-python-common-ways-to-explore-your-data-part-1-0efd0dedff75|Summary information]]
+    * [[https://blog.devgenius.io/data-profiling-in-python-common-ways-to-explore-your-data-part-2-396384522e91|More detailed information]]
+    * [[https://blog.devgenius.io/data-cleansing-in-python-common-ways-to-clean-your-data-3459a256dd85|Table data cleaning]]
+  * Stats stuff
+    * [[https://medium.com/@tubelwj/python-outlier-detection-iqr-method-and-z-score-implementation-8e825edf4b32|Python Outlier Detection: IQR Method and Z-score Implementation]]
+  * [[https://medium.com/pythons-gurus/clean-code-in-python-good-vs-bad-practices-examples-2df344bddacc|Clean Code in Python: Good vs. Bad Practices Examples]]
+  * [[https://peps.python.org/pep-0008/|PEP 8 – Style Guide for Python Code]]
+    * [[https://realpython.com/python-pep8/|How to Write Beautiful Python Code With PEP 8]]
+    * [[https://www.datacamp.com/tutorial/pep8-tutorial-python-code|PEP-8 Tutorial: Code Standards in Python]]
+    * Some checkers/linters: [[https://docs.astral.sh/ruff/|ruff]], [[https://flake8.pycqa.org/en/stable/|flake8]]
   * [[https://medium.com/@yaduvanshineelam09/ultimate-python-cheat-sheet-practical-python-for-everyday-tasks-8a33abc0892f|Ultimate Python Cheat Sheet: Practical Python For Everyday Tasks]]
   * [[https://medium.com/pythoneers/16-hacks-that-will-take-your-python-skills-to-the-next-level-12e7a9b97421|16 Hacks That Will Take Your Python Skills to the Next Level]]
+  * [[https://levelup.gitconnected.com/modular-coding-in-python-finally-solve-your-import-errors-af2fd172fcf7|Modular Coding in Python: Finally Solve your Import Errors]] (understanding and fixing ModuleNotFoundError and ImportError)
+  * [[https://medium.com/@moraneus/understanding-multithreading-and-multiprocessing-in-python-1ed39bb078d5|Understanding Multithreading and Multiprocessing in Python]]
 ===== Reading/setting environments variables =====
@@ Line 810: / Line 825: @@
 </code>
+===== Debugging... =====
+Some resources that you can use in the unlikely case that <del>you</del> some AI has introduced <del>features</del> bugs in your code
+==== Built-in tools ====
+Read the documentation of:
+  * [[https://docs.python.org/3/library/pdb.html|pdb, The Python Debugger]]
+  * and the other built-in [[https://docs.python.org/3/library/debug.html|Debugging and Profiling tools]]
+==== Using a decorator to log function calls ====
+Check the example in [[https://blog.devgenius.io/my-lazy-secret-to-cleaner-code-python-decorators-d43d673a1ba2|My Lazy Secret to Cleaner Code: Python Decorators]]
+Note: more about [[#using_log_files_aka_logging|using log files]]
 /*