Update README.md

README.md

@@ -1,9 +1,58 @@
+# [Backend/Web Development Projects](https://github.com/elrf3lipes/Django_concepts)
 
-# [Project 1: API-Data Extraction](https://github.com/elrf3lipes/Python_Automation_Projects/blob/master/Pubmed_Clinical_Trials_data_extraction_1.ipynb)
+## Overview
+
+Core concepts of Django backend development, including server-side logic, RESTful APIs, user authentication, and data management, with advanced features such as content management, comment systems, token authorization, admin integration, containerization, real-time data management, CI/CD automation.
+
+**[Dockerized_Django_API](https://github.com/elrf3lipes/Django_concepts/tree/main/Django_API)** is an API development project leveraging Django's REST framework to create secure, scalable endpoints. This project integrates powerful libraries such as Django REST framework, Django Filters, and DRF's token authentication to implement comprehensive CRUD operations, authentication, pagination, and filtering. The project is Dockerized for easy deployment, with a Dockerfile that sets up the environment and runs the Django application, facilitating containerization and management.
+
+![](images/testing_api.png)
+
+**[Django_blog](https://github.com/elrf3lipes/Django_concepts/tree/main/Django_blog)** is a full-featured blogging platform built with Django, providing user-friendly content management and interactive features. It incorporates Django's built-in authentication system, along with tagging, commenting, and categorization functionalities, making it a versatile tool for managing blog content.
+
+![](images/blog_home.png)
+
+**[Django_CRM](https://github.com/elrf3lipes/Django_concepts/tree/main/import-export)** is a streamlined CRM application focused on data import and export functionality, integrated with Django's admin interface. This project utilizes key libraries like Pandas, Django Import-Export, and various file handling modules to facilitate data import/export in formats like CSV and Excel, ensuring easy data management and validation.
+
+![](images/crm.png)
+
+## Motivation
+
+Having a background in Data Analysis I've noticed a demand for backend solutions where you need to easily deploy CRM applications for data management and general CRUD operations, again my main goal was to get practical experience in developing such applications.
+
+## Acknowledgments
+
+- Server-Side Logic
+- RESTful API Development
+- Database Management
+- Token-Based Authentication
+- Data Processing
+- Containerization
+
+**[Quake3 log parser](https://github.com/elrf3lipes/quake3_log_parser)** This project is a Quake 3 Arena log parser designed to read and analyze game log files in real time through its FastAPI. It provides functionalities to parse logs, track game statistics, and generate detailed reports. A CI/CD pipeline automates the process of linting, testing, and building a Docker image whenever changes are pushed or pulled:
+
+![CI/CD Status](https://github.com/elrf3lipes/quake3_log_parser/actions/workflows/ci-cd.yml/badge.svg)
+
+![](images/log_parser_api.png)
+
+## Motivation
+This project was aimed at gaining hands-on experience in developing applications that manage real-time data, automate processes, and generate insights from raw logs. My main goal was to apply modular development practices while enhancing my knowledge in automated deployment pipelines.
+
+## Acknowledgments
+
+- Log Data Parsing & Processing
+- Real-time Data Management via FastAPI
+- CI/CD Pipeline Integration (GitHub Actions)
+- Modular Application Development
+- Dockerization
+- Automated Testing & Linting
+
+
+# [API-Data Extraction Project](https://github.com/elrf3lipes/Python_Automation_Projects/blob/master/Pubmed_Clinical_Trials_data_extraction_1.ipynb)
 
 ## Overview
 
-**Pubmed_Clinical_Trials_data_extraction_1** is a comprehensive data extraction and parsing tool that integrates with [Pubmed](https://www.ncbi.nlm.nih.gov/home/develop/api/) and [ClinicalTrials](https://clinicaltrials.gov/data-api/api) APIs. This project utilizes several powerful Python libraries including Entrez, Medline, Biopython, Requests, urllib, xml.etree, IPython, and Pandas to streamline the process of fetching and processing clinical trials data.
+**Pubmed_Clinical_Trials_data_extraction_1** is a comprehensive data extraction and parsing tool that integrates with [Pubmed](https://www.ncbi.nlm.nih.gov/home/develop/api/) and [ClinicalTrials](https://clinicaltrials.gov/data-api/api) APIs. This project utilizes powerful Python libraries including Entrez, Medline, Biopython, Requests, urllib, xml.etree, IPython, and Pandas to streamline the process of fetching and processing clinical trials data.
 
 ![](images/image.png)
 
@@ -50,36 +99,3 @@ Follow the instructions within the notebook to execute the data extraction and p
 This project aims to simplify the process of extracting the affiliation data from [Pubmed](https://pubmed.ncbi.nlm.nih.gov/) and [ClinicalTrials](https://clinicaltrials.gov/) APIs. By leveraging powerful Python libraries, it provides a small solution for researchers and developers working in the field of clinical data analysis.
 
 **Note**: The affiliation parser and keyword counter (`extract_phrases_and_countries` function) may encounter many limitations due to varying XML structures from PubMed. I planned to use the OpenAI API to improve parsing, but development stopped when my client went silent. Still, I hope this tool helps others looking for similar solutions!
-
-
-
-# [Project 2: Backend Web Development](https://github.com/elrf3lipes/Django_concepts)
-
-## Overview
-
-Core concepts of Django backend development, including server-side logic, RESTful APIs, user authentication, and data management, with advanced features such as content management, comment systems, token authorization, admin integration, and containerization.
-
-**[Dockerized_Django_API](https://github.com/elrf3lipes/Django_concepts/tree/main/Django_API)** is an API development project leveraging Django's REST framework to create secure, scalable endpoints. This project integrates powerful libraries such as Django REST framework, Django Filters, and DRF's token authentication to implement comprehensive CRUD operations, authentication, pagination, and filtering. The project is Dockerized for easy deployment, with a Dockerfile that sets up the environment and runs the Django application, facilitating containerization and management.
-
-![](images/testing_api.png)
-
-**[Django_blog](https://github.com/elrf3lipes/Django_concepts/tree/main/Django_blog)** is a full-featured blogging platform built with Django, providing user-friendly content management and interactive features. It incorporates Django's built-in authentication system, along with tagging, commenting, and categorization functionalities, making it a versatile tool for managing blog content.
-
-![](images/blog_home.png)
-
-**[Django_CRM](https://github.com/elrf3lipes/Django_concepts/tree/main/import-export)** is a streamlined CRM application focused on data import and export functionality, integrated with Django's admin interface. This project utilizes key libraries like Pandas, Django Import-Export, and various file handling modules to facilitate data import/export in formats like CSV and Excel, ensuring easy data management and validation.
-
-![](images/crm.png)
-
-## Motivation
-
-I started studying and making Django projects for about an year now at the moment of this writing, mostly to enhance my Python skills along with career prospects, specially to understand and implement ORM(Object-Relational Mapping) solutions in the context of having a deeper understanding of Web Development. 
-
-## Acknowledgments
-
-- Server-Side Logic
-- RESTful API Development
-- Database Management
-- Token-Based Authentication
-- Data Processing
-- Containerization