# Project Docs

## Project Docs

- [Welcome to End2End Data Science Project Documentation](https://data-to-production.gitbook.io/product-docs/welcome-to-end2end-data-science-project-documentation.md): Maintained by Mitul Patel
- [Who we are](https://data-to-production.gitbook.io/product-docs/about-us/who-we-are.md)
- [Project Pipeline Overview](https://data-to-production.gitbook.io/product-docs/project-guides/project-pipeline-overview.md)
- [Understanding Projects](https://data-to-production.gitbook.io/product-docs/project-guides/understanding-projects.md)
- [Getting started](https://data-to-production.gitbook.io/product-docs/fundamentals/getting-started.md): Software installations to get up and running with all the moving parts (GitHub, Python, MySQL, Jenkins, AWS, GCP) can take a few tries. This article will help you get your in a row.
- [Step 1: Github](https://data-to-production.gitbook.io/product-docs/fundamentals/getting-started/step-1-github.md)
- [Working with Git & Github](https://data-to-production.gitbook.io/product-docs/fundamentals/getting-started/step-1-github/working-with-git-and-github.md)
- [Setting up your repository & project](https://data-to-production.gitbook.io/product-docs/fundamentals/getting-started/step-1-github/working-with-git-and-github/setting-up-your-repository-and-project.md)
- [Git Branching](https://data-to-production.gitbook.io/product-docs/fundamentals/getting-started/step-1-github/working-with-git-and-github/git-branching.md)
- [Push & Pull](https://data-to-production.gitbook.io/product-docs/fundamentals/getting-started/step-1-github/working-with-git-and-github/push-and-pull.md)
- [Pull Request](https://data-to-production.gitbook.io/product-docs/fundamentals/getting-started/step-1-github/working-with-git-and-github/pull-request.md)
- [Resources](https://data-to-production.gitbook.io/product-docs/fundamentals/getting-started/step-1-github/resources.md)
- [Exercise](https://data-to-production.gitbook.io/product-docs/fundamentals/getting-started/step-1-github/exercise.md)
- [Step 2: Python Setup](https://data-to-production.gitbook.io/product-docs/fundamentals/getting-started/step-2-python-setup.md)
- [Step 3: Conda Environment](https://data-to-production.gitbook.io/product-docs/fundamentals/getting-started/step-3-conda-environment.md)
- [Working with Conda Environment](https://data-to-production.gitbook.io/product-docs/fundamentals/getting-started/step-3-conda-environment/working-with-conda-environment.md)
- [Resources](https://data-to-production.gitbook.io/product-docs/fundamentals/getting-started/step-3-conda-environment/resources.md)
- [Step 4: MySQL, Postgres & Oracle DB](https://data-to-production.gitbook.io/product-docs/fundamentals/getting-started/step-4-mysql-postgres-and-oracle-db.md)
- [Quick review on SQL](https://data-to-production.gitbook.io/product-docs/fundamentals/getting-started/step-4-mysql-postgres-and-oracle-db/quick-review-on-sql.md)
- [Exercises (Under development)](https://data-to-production.gitbook.io/product-docs/fundamentals/getting-started/step-4-mysql-postgres-and-oracle-db/exercises-under-development.md)
- [Step 5: Project Setup](https://data-to-production.gitbook.io/product-docs/fundamentals/getting-started/step-5-project-setup.md)
- [Step 6: AWS & GCP](https://data-to-production.gitbook.io/product-docs/fundamentals/getting-started/step-6-aws-and-gcp.md)
- [Automation](https://data-to-production.gitbook.io/product-docs/fundamentals/getting-started/step-6-aws-and-gcp/automation.md): Migrate projects to cloud and setup automation
- [Step 7: Final Presentation](https://data-to-production.gitbook.io/product-docs/fundamentals/getting-started/step-7-final-presentation.md)
- [Step 8: Docker](https://data-to-production.gitbook.io/product-docs/fundamentals/getting-started/step-8-docker.md): Learn all about Docker
- [Creating Docker Image](https://data-to-production.gitbook.io/product-docs/fundamentals/getting-started/step-8-docker/creating-docker-image.md)
- [Useful Docker commands](https://data-to-production.gitbook.io/product-docs/fundamentals/getting-started/step-8-docker/useful-docker-commands.md): Here are the list of widely used docker commands - consider this to be a cheatsheet!
- [Interesting articles](https://data-to-production.gitbook.io/product-docs/interesting-articles.md): Articles related to Data Engineering, Data Science, ML, MLOps, DevOps will be posted here.
- [Data Engineering](https://data-to-production.gitbook.io/product-docs/interesting-articles/data-engineering.md)
- [Data Science](https://data-to-production.gitbook.io/product-docs/interesting-articles/data-science.md)
- [ML & MLOps](https://data-to-production.gitbook.io/product-docs/interesting-articles/ml-and-mlops.md)
- [Resources](https://data-to-production.gitbook.io/product-docs/resources.md): Resources related to Data Engineering, Data Science, ML, MLOps, DevOps will be posted here.