visual intro to numpy

airlab-unsri · Aug 15, 2024 · 2bd0466 · 2bd0466
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diff --git a/docs/_toc.yml b/docs/_toc.yml
@@ -61,8 +61,7 @@ parts:
   - caption: NumPy
     chapters:
       - file: numpy/intro_to_numpy
-      - file: numpy/numpy_quickstart
-      - file: numpy/numpy_fundamentals
+      - file: numpy/visual_intro_to_numpy
 
   - caption: Pandas
     chapters:

diff --git a/docs/images/numpy/create_numpy_array.png b/docs/images/numpy/create_numpy_array.png
diff --git a/docs/images/numpy/create_numpy_array_1.png b/docs/images/numpy/create_numpy_array_1.png
diff --git a/docs/images/numpy/create_numpy_array_2.png b/docs/images/numpy/create_numpy_array_2.png
diff --git a/docs/images/numpy/create_numpy_array_ones_zeros_random.png b/docs/images/numpy/create_numpy_array_ones_zeros_random.png
diff --git a/docs/images/numpy/mean_square_error_formula.png b/docs/images/numpy/mean_square_error_formula.png
diff --git a/docs/images/numpy/numpy_3d_array.png b/docs/images/numpy/numpy_3d_array.png
diff --git a/docs/images/numpy/numpy_3d_array_creation.png b/docs/images/numpy/numpy_3d_array_creation.png
diff --git a/docs/images/numpy/numpy_array.png b/docs/images/numpy/numpy_array.png
diff --git a/docs/images/numpy/numpy_array_aggregation.png b/docs/images/numpy/numpy_array_aggregation.png
diff --git a/docs/images/numpy/numpy_array_broadcast.png b/docs/images/numpy/numpy_array_broadcast.png
diff --git a/docs/images/numpy/numpy_array_create_2d.png b/docs/images/numpy/numpy_array_create_2d.png
diff --git a/docs/images/numpy/numpy_array_slice.png b/docs/images/numpy/numpy_array_slice.png
diff --git a/docs/images/numpy/numpy_array_subtract_multiply_divide.png b/docs/images/numpy/numpy_array_subtract_multiply_divide.png
diff --git a/docs/images/numpy/numpy_arrays_adding_1.png b/docs/images/numpy/numpy_arrays_adding_1.png
diff --git a/docs/images/numpy/numpy_arrays_example_1.png b/docs/images/numpy/numpy_arrays_example_1.png
diff --git a/docs/images/numpy/numpy_audio.png b/docs/images/numpy/numpy_audio.png
diff --git a/docs/images/numpy/numpy_color_image.png b/docs/images/numpy/numpy_color_image.png
diff --git a/docs/images/numpy/numpy_grayscale_image.png b/docs/images/numpy/numpy_grayscale_image.png
diff --git a/docs/images/numpy/numpy_matrix_aggregation_1.png b/docs/images/numpy/numpy_matrix_aggregation_1.png
diff --git a/docs/images/numpy/numpy_matrix_aggregation_2.png b/docs/images/numpy/numpy_matrix_aggregation_2.png
diff --git a/docs/images/numpy/numpy_matrix_aggregation_3.png b/docs/images/numpy/numpy_matrix_aggregation_3.png
diff --git a/docs/images/numpy/numpy_matrix_aggregation_4.png b/docs/images/numpy/numpy_matrix_aggregation_4.png
diff --git a/docs/images/numpy/numpy_matrix_arithmetic.png b/docs/images/numpy/numpy_matrix_arithmetic.png
diff --git a/docs/images/numpy/numpy_matrix_broadcast.png b/docs/images/numpy/numpy_matrix_broadcast.png
diff --git a/docs/images/numpy/numpy_matrix_dot_product_1.png b/docs/images/numpy/numpy_matrix_dot_product_1.png
diff --git a/docs/images/numpy/numpy_matrix_dot_product_2.png b/docs/images/numpy/numpy_matrix_dot_product_2.png
diff --git a/docs/images/numpy/numpy_matrix_indexing.png b/docs/images/numpy/numpy_matrix_indexing.png
diff --git a/docs/images/numpy/numpy_matrix_ones_zeros_random.png b/docs/images/numpy/numpy_matrix_ones_zeros_random.png
diff --git a/docs/images/numpy/numpy_mean_square_error_formula.png b/docs/images/numpy/numpy_mean_square_error_formula.png
diff --git a/docs/images/numpy/numpy_mse_1.png b/docs/images/numpy/numpy_mse_1.png
diff --git a/docs/images/numpy/numpy_mse_2.png b/docs/images/numpy/numpy_mse_2.png
diff --git a/docs/images/numpy/numpy_mse_3.png b/docs/images/numpy/numpy_mse_3.png
diff --git a/docs/images/numpy/numpy_mse_4.png b/docs/images/numpy/numpy_mse_4.png
diff --git a/docs/images/numpy/numpy_nlp_bert_shape.png b/docs/images/numpy/numpy_nlp_bert_shape.png
diff --git a/docs/images/numpy/numpy_nlp_embeddings.png b/docs/images/numpy/numpy_nlp_embeddings.png
diff --git a/docs/images/numpy/numpy_nlp_ids.png b/docs/images/numpy/numpy_nlp_ids.png
diff --git a/docs/images/numpy/numpy_nlp_tokenization.png b/docs/images/numpy/numpy_nlp_tokenization.png
diff --git a/docs/images/numpy/numpy_nlp_vocabulary.png b/docs/images/numpy/numpy_nlp_vocabulary.png
diff --git a/docs/images/numpy/numpy_reshape.png b/docs/images/numpy/numpy_reshape.png
diff --git a/docs/images/numpy/numpy_transpose.png b/docs/images/numpy/numpy_transpose.png
diff --git a/docs/images/numpy/rename.sh b/docs/images/numpy/rename.sh
@@ -0,0 +1,11 @@
+for file in *; do
+  # Check if the file name contains a hyphen
+  if [[ "$file" == *-* ]]; then
+    # Replace hyphens with underscores in the file name
+    new_file="${file//-/_}"
+    # Rename the file
+    mv "$file" "$new_file"
+  fi
+done
+
+echo "Renaming completed."
diff --git a/docs/images/pandas/excel_to_pandas.png b/docs/images/pandas/excel_to_pandas.png
diff --git a/docs/numpy/intro_to_numpy.md b/docs/numpy/intro_to_numpy.md
@@ -20,3 +20,35 @@ Berikut beberapa perbedaan antara Numpy array dengan Python list:
 2. Numpy array memiliki elemen-elemen yang seragam, sehingga ukuran mereka di dalam memori akan tetap sama.
 3. Numpy array mendukung operasi matematika pada array ukuran besar secara efisien, sedangkan Python list tidak.
 4. Bertambah banyaknya library scientific computing di Python yang menggunakan NumPy sebagai basisnya.
+
+## NumPy Quickstart
+
+Untuk mulai menggunakan NumPy dan mempelajari konsep dasar NumPy, kamu dapat membaca tutorial dari halaman resmi NumPy:
+
+[NumPy quickstart](https://numpy.org/doc/stable/user/quickstart.html)
+
+Tutorial di atas akan membantu kamu memahami tentang:
+
+1. Perbedaan antara one-, two-, dan n-dimensional arrays di NumPy
+2. Bagaimana cara menggunakan operasi-operasi aljabar linear untuk n-dimensional arrays tanpa menggunakan for-loops
+3. Memaham properti `axis` dan `shape` dari n-dimensional arrays
+
+---
+
+Selain itu, kamu juga bisa membaca tutorial NumPy di beberapa situs berikut:
+
+1. [Scientific Computing in Python: Introduction to NumPy and Matplotlib](https://sebastianraschka.com/blog/2020/numpy-intro.html)
+
+## NumPy Fundamentals
+
+Dokumen-dokumen dari situs resmi NumPy di bawah ini akan membantu kamu untuk lebih memahami konsep, design decisions, dan technical constrains dari NumPy.
+
+- [Array creation](https://numpy.org/doc/stable/user/basics.creation.html)
+- [Indexing on ndarrays](https://numpy.org/doc/stable/user/basics.indexing.html)
+- [I/O with NumPy](https://numpy.org/doc/stable/user/basics.io.html)
+- [Data types](https://numpy.org/doc/stable/user/basics.types.html)
+- [Broadcasting](https://numpy.org/doc/stable/user/basics.broadcasting.html)
+- [Copies and views](https://numpy.org/doc/stable/user/basics.copies.html)
+- [Working with Arrays of Strings And Bytes](https://numpy.org/doc/stable/user/basics.strings.html)
+- [Structured arrays](https://numpy.org/doc/stable/user/basics.rec.html)
+- [Universal functions (ufunc) basics](https://numpy.org/doc/stable/user/basics.ufuncs.html)
diff --git a/docs/numpy/numpy_fundamentals.md b/docs/numpy/numpy_fundamentals.md
diff --git a/docs/numpy/numpy_quickstart.md b/docs/numpy/numpy_quickstart.md