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 # Contributing Guidelines
 
-Contributions welcome!
+We value your participation in this open source project. This page will give you a quick overview of how to get involved.
 
-**Before spending lots of time on something, ask for feedback on your idea first!**
+## Important Note
 
-Please search issues and pull requests before adding something new to avoid duplicating efforts and conversations.
+- Do not raise issues or send PRs for changing issue template, adding header-footer, badges or any buttons.  
+- Do not raise issues or send PRs for for any website changes. 
 
-This project welcomes following types of contributions:
+## How can I contribute?
 
-- **Ideas**: participate in an issue thread or start your own to have your voice heard.
-- **Writing**: contribute your expertise in an area by helping expand the included content.
-- **Copy editing**: fix typos, clarify language, and generally improve the quality of the content.
-- **Formatting**: help keep content easy to read with consistent formatting.
+You can contribute to this project by adding content on a new topic or improving existing content.  
+
+The list of topics for which we are looking for content are provided below along with the location where the content has to be added:
+
+- Advanced Python - [Link](https://github.com/animator/learn-python/tree/main/contrib/advanced-python)  
+- Pandas - [Link](https://github.com/animator/learn-python/tree/main/contrib/pandas)  
+- NumPy - [Link](https://github.com/animator/learn-python/tree/main/contrib/numpy)  
+- SciPy - [Link](https://github.com/animator/learn-python/tree/main/contrib/scipy)  
+- Data Science & Machine Learning - [Link](https://github.com/animator/learn-python/tree/main/contrib/machine-learning)  
+- Plotting & Visualization - [Link](https://github.com/animator/learn-python/tree/main/contrib/plotting-visualization)  
+- Interacting with Databases - [Link](https://github.com/animator/learn-python/tree/main/contrib/database)  
+- Web Scrapping - [Link](https://github.com/animator/learn-python/tree/main/contrib/web-scrapping)  
+- API Development - [Link](https://github.com/animator/learn-python/tree/main/contrib/api-development)  
+- Data Structures & Algorithms - [Link](https://github.com/animator/learn-python/tree/main/contrib/ds-algorithms)  
+- Python Mini Projects - [Link](https://github.com/animator/learn-python/tree/main/contrib/mini-projects)  
+- Python Question Bank - [Link](https://github.com/animator/learn-python/tree/main/contrib/question-bank)
+
+You can check out some content ideas below.
+
+## Process
+
+**Step 1**: Raise a **new issue** that you want to "Add <Your content title> content". We will assign the issue to you and label it.  
+**Step 2**: Star and fork THIS repository.  
+**Step 3**: Now in your fork, go the correct topic folder as provided in the links above. 
+**Step 4**: Edit `index.md` file to add the title of the content and the corresponding file name where the content will be available in this folder.
+**Step 5**: Add the content in the file.
+**Step 6**: Raise a PR with your changes. Accept the pledge that the content is original and not stolen from any other source.  
+**Step 7**: Wait for review and PR merge.
+
+### Some Content Ideas
+
+- **NumPy**: Introduction, Arrays, Indexing and Slicing, Operations on Arrays, Concatenating Arrays, Reshaping Arrays, Splitting Arrays, Statistical Operations on Arrays, Loading Arrays from Files, Saving NumPy Arrays in Files, etc.  
+- **Pandas**: Introduction, Importing and Exporting Data, DataFrames, Pandas Series Vs NumPy ndarray, Descriptive Statistics, Data Aggregations, Sorting a DataFrame, Group by Functions, Altering the Index, Other DataFrame Operations, Handling Missing Values, Import and Export of Data between Pandas and MySQL, Pandas plotting, etc.  
+- **Plotting & Visualization**: Matplotlib, Seaborn, Customisation of Plots (Marker, colour, Line width and Line Style), Line chart, Bar Chart, Histogram, Scatter Chart, Plotting Quartiles and Box plot, Pie Chart, etc.  
+- **Data Science & Machine Learning**: Scikit-learn, TensorFlow, PyTorch, regression, classification, clustering, ensemble model, deep learning, etc.  
+- **API Development**: Building APIs using FastAPI, CRUD API Development, etc.  
+- **Advanced Python**: OOP In Python, Generators, List Comprehensions, Lambda functions, In-depth Function Arguments, Regular Expressions, Exception Handling, Partial functions, Code Introspection, Closures, Decorators, Map, Filter, Reduce, etc.  
+
+### Any doubt?
+
+In case you are new to the open source ecosystem, we would be more than happy to guide you through the entire process. Just join our [Discord server](https://bit.ly/heyfoss) and drop a message in relevant channel.