Sina Nazem's Projects
Awesome Python Resources
This repository contains a collection of responsive and customizable Bootstrap templates for building modern web applications and websites.
Cleans a directory by moving files to directories.
The C++ Learning Roadmap and Exercises repository is a comprehensive resource for learning C++ programming. It includes a step-by-step guide, code examples, and exercises designed to reinforce concepts.
This repository is designed to guide you through your C# learning journey, providing a roadmap, code examples, and exercises.
Crawl the price data of USD to IRT, then using a python script, store the obtained data into the database
The `data-engineer-roadmap` repository is a comprehensive and structured guide designed to assist individuals in their pursuit of a career as a data engineer. It offers a clear roadmap and curated resources to acquire the necessary skills and knowledge in the field of data engineering.
This project aims to provide a foundation for creating feature-rich social networking websites with ease.
A curated list of engineering blogs
Machine Learning Applications in Finance
This repository contains Python scripts for collecting financial data from different sources, including an earnings call transcript crawler, an SEC Edgar downloader, and a prospectus and reports collector. The scripts are open-source and easy to use.
flask-blog is a simple web application built using Flask, a lightweight WSGI web application framework in Python. It allows users to create, read, update, and delete blog posts.
This repository showcases projects leveraging advanced language models.
This project has been designed to use as a starting point for developers and data scientists we'll collaborate to expand location data to several countries all around the world.
Insights and Market Trend Analysis
This project is a Dockerized web crawler that fetches financial news articles from the Motley Fool website and stores them in a PostgreSQL database. It's a simple and efficient way to gather financial news data for further analysis.