Gabriela's Website

Welcome to my learning site!
Please refer to my GitHub to explore my repositories.


This is my personal space to track and consolidate my knowledge and path as I learn to become a Data Scientist, Full Stack Developer and DevOps / Cloud Engineer.


The beginning:

  1. Python basis.
  2. Version Control (Git & GitHub/GitLab).
  3. Linux & Command Line basics.
  4. Data structures & algorithms.
  5. Math basis and problem solving.

Data Science:

  1. Libraries: pandas, numpy, matplotlib, seaborn, scikit-learn, TensorFlow/PyTorch.
  2. Math/Stats: probability, linear algebra, regression, classification, optimization.
  3. Tools: Jupyter, SQL, ML model deployment (sometimes via cloud & APIs).

DevOps / Cloud Engineer:

  1. Cloud Platforms: AWS, Azure, Google Cloud.
  2. Tools: Docker, Kubernetes, Terraform, Ansible.
  3. CI/CD: GitHub Actions, Jenkins, GitLab CI.
  4. Monitoring: Prometheus, Grafana.
  5. Scripting: Python & Bash for automation.

Full Stack Developer:

  1. Backend: Django / Flask / FastAPI (Python).
  2. Frontend: HTML, CSS, JavaScript, React/Angular/Vue.
  3. Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB).
  4. APIs: REST, GraphQL.
  5. Deployment: Docker, CI/CD pipelines, cloud hosting.