fix:Fixed the test bugs and updated the Readmefile

README.md

@@ -1,18 +1,20 @@
 # [pysorting](https://pysorting.readthedocs.io/en/latest/)
 
-[![Documentation Status](https://readthedocs.org/projects/pysorting/badge/?version=latest)](https://pysorting.readthedocs.io/en/latest/?badge=latest)
+[![Documentation Status](https://readthedocs.org/projects/pysorting/badge/?version=latest)](https://pysorting.readthedocs.io/en/latest/?badge=latest)![ci-cd](https://github.com/UBC-MDS/pysorting/actions/workflows/ci-cd.yml/badge.svg) [![codecov](https://codecov.io/gh/UBC-MDS/pysorting/branch/main/graph/badge.svg)](https://app.codecov.io/gh/UBC-MDS/pysorting)
 
 ## Overview
-This Python package provides an interactive and educational platform for understanding popular sorting algorithms. Designed for students and educators, it includes implementations of four key sorting algorithms. The package is simple to use and highly customizable, making it an excellent tool for learning and teaching sorting concepts.
 
+This Python package provides an interactive and educational platform for understanding popular sorting algorithms. Designed for students and educators, it includes implementations of four key sorting algorithms. The package is simple to use and highly customizable, making it an excellent tool for learning and teaching sorting concepts.
 
 ## Contributors
+
 - Chukwunonso Ebele-muolokwu
 - Marek Boulerice
 - Shashank Hosahalli Shivamurthy
 - Siddarth Subrahmanian
 
 # Features
+
 - `bubble_sort`:
   -This function takes in a list of numbers provided by the user and sorts it following a bubble-sort algorithm. A simple, comparison-based sorting algorithm that repeatedly swaps adjacent elements if they are in the wrong order.
 - `insertion_sort`:
@@ -48,26 +50,31 @@ This utility is handy for debugging and ensuring the correctness of sorting impl
 
 The package was created with the goal to be a tool for aspiring computer and data scientists to use in order to better understand the steps, similiraities and differences of various sorting functions. With the current functions included, a user can easily pass an array and implement a sorting function of his choosing to return the sorted array. Further developments for this package will include a function to generate a random list of desired size for sorting, one function to compute the big-o complexity of a given sorting algortithm, and a visualization of the sorting process for a chosen algorithm.
 
-
 ## `pysorting` in the Python Ecosystem
+
 There are many presences of similar sorting functions within the python ecosystem. For one, python itself already has a built in [`.sort()` function](https://docs.python.org/3/library/stdtypes.html#list.sort). There is also a [`sorted()` built-in function](https://docs.python.org/3/library/functions.html#sorted) that builds a new sorted list from an iterable.Additionally, several packages have also been created with similar goal of implementing various sorting algortithms. One example project is shown here: [https://pypi.org/project/sort-algorithms/](https://github.com/DahlitzFlorian/SortingAlgorithms)
 Our package aims to distinguish itself from other packages through its easy access to auxiliary tools making it easy to implement various sorting algorithm, and importantly to highlight differences between them.  
 
 ## Installation
 
 ```bash
-$ pip install pysorting
+pip install pysorting
 ```
 
 ## Usage
+
 The following examples illustrate how the sorting functions in this package are intended to be used. Please note that the functions are currently not implemented—only their docstrings are in place for now.
 
 After installing the package, you can import the functions (once implemented) as follows:
 
 ```python
 from pysorting import quick_sort, bubble_sort, shell_sort, insertion_sort
+
+bubble_sort([4, 2, 7, 1, 3], ascending = False)
 ```
 
+For more examples on usage of the different functions, you can check out this [Example NoteBook](https://pysorting.readthedocs.io/en/latest/example.html)
+
 ## Contributing
 
 Interested in contributing? Check out the [contributing guidelines](https://github.com/UBC-MDS/pysorting/blob/main/CONTRIBUTING.md). Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.