Welcome to the Lecture Backpack π, a comprehensive resource repository designed for students and enthusiasts in software engineering, data science, full stack web development, and anyone looking to sharpen their coding interview skills. Our goal is to provide an all-encompassing learning experience that caters to a wide range of educational needs, from basic programming concepts to specialized topics in various tech fields.
This repository is structured into five main folders, each targeting a specific learning track:
Python : A foundational phase for Software Engineering and Data Science π that introduces basic programming concepts, including the terminal, setting up development environments and basic procedural programming in Python.
Software Engineering (SE) : Building on Python phase, the SE track delves into advanced software development topics. It covers:
Data Science (DS) : Following the Python introduction, the DS track focuses on data manipulation and analysis. Key topics include:
Full Stack Web Development (WD) : Starting with web basics, the terminal and GitHub, this track progresses to comprehensive web development skills, encompassing:
Coding Interview Workshops : A series of workshops 𧩠focusing on fundamental computer science concepts, common interview questions, and problem-solving strategies. Topics include:
To get started with the Lecture Backpack, follow these steps:
git clone https://github.com/skills-cogrammar/C7-Lecture-Backpack.git
to clone this repository to your local machine.This project is licensed under the MIT License - see the LICENSE.md file for details.
Happy Learning! π