Revision and correction of notebooks

Author: mr-pylin

README.md

@@ -2,47 +2,47 @@
 An in-depth guide to mastering NumPy, covering fundamental to advanced array operations for data science and numerical computing.
 
 ## 📖 Table of Contents
-0. **[Array](./codes/00_array.ipynb)** 
+1. [**Array Basics**](./codes/01_array-basics.ipynb) 
  Introduction to NumPy arrays
-0. **[Arithmetic Operations](./codes/01_arithmetic-operations.ipynb)** 
+1. [**Arithmetic Operations**](./codes/02_arithmetic-operations.ipynb) 
  Arithmetic operations between (array & scalar) or (array & array)
-0. **[Comparative Operations](./codes/02_comparative-operations.ipynb)** 
+1. [**Comparative Operations**](./codes/03_comparative-operations.ipynb) 
  Comparative operations between (array & scalar) or (array & array)
-0. **[Index & Slice](./codes/03_index-&-slice.ipynb)** 
+1. [**Index & Slice**](./codes/04_index-&-slice.ipynb) 
  Basic and advanced indexing and slicing arrays including Mask & Filters
-0. **[Axes](./codes/04_axes.ipynb)** 
+1. [**Axes**](./codes/05_axes.ipynb) 
  Understanding use of axes in multi-dimensional arrays combined with methods [the hardest part in NumPy for newbies in my opinion]
-0. **[Array Modifications](./codes/05_array-modifications.ipynb)** 
+1. [**Array Manipulations**](./codes/06_array-manipulations.ipynb) 
  Techniques for updating values, appending, inserting, reshaping, concatenating, ...
-0. **[NdArray properties & methods](./codes/06_ndarray-members.ipynb)** 
+1. [**NdArray properties & methods**](./codes/07_ndarray-members.ipynb) 
  Comprehensive overview of properties and methods associated with NumPy arrays.
-0. **[Array Creation](./codes/07_array-creation.ipynb)** 
+1. [**Array Creation**](./codes/08_array-creation.ipynb) 
  Various methods to create NumPy arrays (e.g., `numpy.array`, `numpy.zeros`, etc.).
-0. **[Mathematics](./codes/08_mathematics.ipynb)** 
+1. [**Mathematics**](./codes/09_mathematics.ipynb) 
  Mathematical functions and operations available in NumPy
-0. **[Statistics](./codes/09_statistics.ipynb)** 
+1. [**Statistics**](./codes/10_statistics.ipynb) 
  Statistical functions for data analysis (mean, median, variance, etc.).
-0. **[Sort, Search & Count](./codes/10_sort-search-count.ipynb)** 
+1. [**Sort, Search & Count**](./codes/11_sort-search-count.ipynb) 
  Methods for sorting, searching, and counting elements in arrays.
-0. **[Logic](./codes/11_logic.ipynb)** 
+1. [**Logic**](./codes/12_logic.ipynb) 
  Logical operations and boolean indexing with NumPy arrays.
-0. **[Set](./codes/12_set.ipynb)** 
+1. [**Set**](./codes/13_set.ipynb) 
  Set operations for array elements (union, intersection, difference).
-0. **[Linear Algebra](./codes/13_linear-algebra.ipynb)** 
+1. [**Linear Algebra**](./codes/14_linear-algebra.ipynb) 
  Fundamental linear algebra operations using NumPy (matrix multiplication, determinants).
-0. **[Structured Array](./codes/14_structured-array.ipynb)** 
+1. [**Structured Array**](./codes/15_structured-array.ipynb) 
  Creating and manipulating structured arrays with custom data types.
-0. **[Input/Output](./codes/15_input-output.ipynb)** 
+1. [**Input/Output**](./codes/16_input-output.ipynb) 
  Techniques for reading from and writing to files using NumPy.
-0. **[Random Generator](./codes/16_random-generator.ipynb)** 
+1. [**Random Generator**](./codes/17_random-generator.ipynb) 
  Generating random numbers and distributions with NumPy's random module.
-0. **[Fourier Transform](./codes/17_fourier-transform.ipynb)** 
+1. [**Fourier Transform**](./codes/18_fourier-transform.ipynb) 
  Understanding and applying Fourier transforms in NumPy.
-0. **[Efficient Computing](./codes/18_efficient-computing.ipynb)** 
+1. [**Efficient Computing**](./codes/19_efficient-computing.ipynb) 
  Strategies for optimizing performance and memory usage in NumPy operations.
-0. **[Miscellaneous](./codes/19_miscellaneous.ipynb)** 
+1. [**Miscellaneous**](./codes/20_miscellaneous.ipynb) 
  Additional topics and advanced features in NumPy.
-0. **[Looking Ahead](./codes/20_looking-ahead.ipynb)** 
+1. [**Looking Ahead**](./codes/21_looking-ahead.ipynb) 
  Introduction to *Pandas* for data manipulation and *Matplotlib* for data visualization.
 
 ## 📋 Prerequisites