chore: sync content to repo (#10083)

Co-authored-by: nilbuild <4921183+nilbuild@users.noreply.github.com>
2026-09-24 15:00:31 +08:00 · 2026-06-16 13:32:53 +02:00
parent e2f80a51be
commit 3d17d04509
13 changed files with 19 additions and 9 deletions
@@ -4,5 +4,6 @@

 Visit the following resources to learn more:

+- [@article@Args and Kwargs in Python – Function Calling Made Easy](https://towardsdatascience.com/args-and-kwargs-in-python-function-calling-made-easy-acfe736f988a/)
 - [@article@Python args & kwargs](https://www.w3schools.com/python/python_args_kwargs.asp)
 - [@video@Python *ARGS & **KWARGS are awesome!](https://www.youtube.com/watch?v=Vh__2V2tXUM)
@@ -5,4 +5,5 @@ NumPy supports a wide range of array operations: element-wise arithmetic, aggreg
 Visit the following resources to learn more:

 - [@article@NumPy Arithmetic Array Operations](https://www.programiz.com/python-programming/numpy/basic-array-operations)
- [@video@Ultimate Guide to NumPy Arrays](https://www.youtube.com/watch?v=lLRBYKwP8GQ)
+- [@video@Ultimate Guide to NumPy Arrays](https://www.youtube.com/watch?v=lLRBYKwP8GQ)
+- [@article@Doing Math with Arrays](https://towardsdatascience.com/introducing-numpy-part-4-doing-math-with-arrays-5e77ac595641/)
@@ -6,4 +6,5 @@ Visit the following resources to learn more:

 - [@course@Advanced Matplotlib: Design & Customize Visualizations](https://www.coursera.org/learn/advanced-matplotlib-design-customize-visualizations)
 - [@article@Customizing Plots](https://apxml.com/courses/intermediate-python-programming-ml/chapter-4-data-visualization-matplotlib-seaborn/matplotlib-customization)
+- [@article@3 Tricks to Prettify Matplotlib Plots](https://towardsdatascience.com/3-tricks-to-prettify-matplotlib-plots-d0a73b861c09/)
 - [@video@Matplotlib customization is easy! 🎨](https://www.youtube.com/watch?v=hunq_UOdmoo)
@@ -5,4 +5,5 @@
 Visit the following resources to learn more:

 - [@official@pandas.DataFrame.groupby](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.groupby.html)
+- [@article@All About Pandas Groupby Explained with 25 Examples](https://towardsdatascience.com/all-about-pandas-groupby-explained-with-25-examples-494e04a8ef56/)
 - [@video@Group By and Aggregate Functions in Pandas |](https://www.youtube.com/watch?v=VRmXto2YA2I)
@@ -6,4 +6,5 @@ Visit the following resources to learn more:

 - [@official@Indexing on ndarrays](https://numpy.org/doc/stable/user/basics.indexing.html)
 - [@article@NumPy Array Indexing](https://www.w3schools.com/python/numpy/numpy_array_indexing.asp)
- [@article@NumPy Array Slicing](https://www.w3schools.com/python/numpy/numpy_array_slicing.asp)
+- [@article@NumPy Array Slicing](https://www.w3schools.com/python/numpy/numpy_array_slicing.asp)
+- [@article@Indexing Arrays](https://towardsdatascience.com/introducing-numpy-part-2-indexing-arrays-5b381b90d1d0/)
@@ -4,4 +4,5 @@ Interactive visualizations allow users to explore data by hovering, zooming, pan

 Visit the following resources to learn more:

- [@article@Top 10 Python Data Visualization Libraries](https://reflex.dev/blog/top-10-data-visualization-libraries/)
+- [@article@Top 10 Python Data Visualization Libraries](https://reflex.dev/blog/top-10-data-visualization-libraries/)
+- [@article@4 Key Players in Python Data Visualization Ecosystem: Matplotlib, Seaborn, Altair, and Plotly](https://towardsdatascience.com/4-key-players-in-python-data-visualization-ecosystem-matplotlib-seaborn-altair-and-plotly-23ae37a68227/)
@@ -5,4 +5,5 @@ List comprehensions provide a concise syntax for creating lists by applying an e
 Visit the following resources to learn more:

 - [@official@List Comprehensions](https://docs.python.org/3/tutorial/datastructures.html#list-comprehensions)
- [@article@When to Use a List Comprehension in Python Quiz](https://realpython.com/quizzes/list-comprehension-python/)
+- [@article@When to Use a List Comprehension in Python Quiz](https://realpython.com/quizzes/list-comprehension-python/)
+- [@article@List Comprehensions in Python](https://towardsdatascience.com/list-comprehensions-in-python-28d54c9286ca/)
@@ -6,5 +6,5 @@ Visit the following resources to learn more:

 - [@article@Python while Loops: Repeating Tasks Conditionally](https://realpython.com/python-while-loop/)
 - [@article@Python for Loops: The Pythonic Way](https://realpython.com/python-for-loop/#the-guts-of-the-python-for-loop)
- [@video@Learn Python for loops in 5 minutes!](https://www.youtube.com/watch?v=KWgYha0clzw)
- [@video@While loops in Python are easy! ♾️](https://www.youtube.com/watch?v=rRTjPnVooxE)
+- [@article@Understand Loops in Python with One Article](https://towardsdatascience.com/understand-loops-in-python-with-one-article-bace2ddba789/)
+- [@video@Learn Python for loops in 5 minutes!](https://www.youtube.com/watch?v=KWgYha0clzw)
@@ -5,4 +5,5 @@ Pandas provides `merge()` and `join()` for combining DataFrames based on common
 Visit the following resources to learn more:

 - [@official@Merge, join, concatenate and compare](https://pandas.pydata.org/docs/user_guide/merging.html)
- [@article@Combining Data in pandas With merge(), .join(), and concat()](https://realpython.com/pandas-merge-join-and-concat/)
+- [@article@Combining Data in pandas With merge(), .join(), and concat()](https://realpython.com/pandas-merge-join-and-concat/)
+- [@article@Pandas: Combining Data](https://towardsdatascience.com/pandas-combining-data-b190d793b626/)
@@ -6,4 +6,5 @@ Visit the following resources to learn more:

 - [@official@NumPy quickstart](https://numpy.org/doc/stable/user/quickstart.html)
 - [@article@NumPy Tutorial](https://www.w3schools.com/python/numpy/default.asp)
+- [@article@NumPy for Absolute Beginners: A Project-Based Approach to Data Analysis](https://towardsdatascience.com/numpy-for-absolute-beginners-a-project-based-approach-to-data-analysis/)
 - [@video@Python NumPy Tutorial for Beginners](https://www.youtube.com/watch?v=QUT1VHiLmmI)
@@ -5,5 +5,5 @@ Operators are symbols that perform operations on values and variables. Python su
 Visit the following resources to learn more:

 - [@article@Python Operators](https://www.w3schools.com/python/python_operators.asp)
- [@article@Python Operators with examples](https://www.programiz.com/python-programming/operators)
+- [@article@Python Operators from Scratch!!! – A Beginner’s Guide](https://towardsdatascience.com/python-operators-from-scratch-a-beginners-guide-8471306f4278/)
 - [@video@Python Tutorial for Beginners | Operators in Python](https://www.youtube.com/watch?v=v5MR5JnKcZI)
@@ -6,5 +6,5 @@ Visit the following resources to learn more:

 - [@official@Seaborn Tutorials](https://seaborn.pydata.org/tutorial.html)
 - [@official@Introduction to Seaborn for dataviz with Python](https://python-graph-gallery.com/seaborn/)
- [@article@Best Seaborn Visualizations for Data Science](https://towardsdatascience.com/best-seaborn-visualizations-for-data-science-3d866f99c3a9/)
+- [@article@Data Visualisation Tutorial Using Seaborn](https://towardsdatascience.com/data-visualisation-tutorial-using-seaborn-26e1ef9043db/)
 - [@video@Introduction to Seaborn](https://www.youtube.com/watch?v=vaf4ir8eT38&list=PLtPIclEQf-3cG31dxSMZ8KTcDG7zYng1j)
@@ -5,5 +5,6 @@ Python provides a rich set of string methods for manipulating text: `strip()`, `
 Visit the following resources to learn more:

 - [@official@string — Common string operations](https://docs.python.org/3/library/string.html)
+- [@article@Useful String Methods in Python](https://towardsdatascience.com/useful-string-methods-in-python-5047ea4d3f90/)
 - [@video@String methods in Python are easy! 〰️](https://www.youtube.com/watch?v=tb6EYiHtcXU)
 - [@video@Python Tutorial for Beginners 2: Strings](https://www.youtube.com/watch?v=k9TUPpGqYTo)