📅 2023-01-20 — Session: Implemented GitHub Authentication and Data Processing Functions
🕒 21:30–23:35
🏷️ Labels: Github, SSH, Python, Data Processing, Security
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal: The session aimed to address GitHub authentication changes and implement data processing functions in Python.
Key Activities:
- Explored the transition from password-based authentication to SSH and Personal Access Tokens (PAT) for GitHub, including setup steps for each method.
- Discussed SSH key pair naming conventions and storage best practices to enhance security.
- Reflected on the use of SSH key passphrases, weighing security benefits against potential inconveniences.
- Outlined steps to push code to a remote GitHub repository using PAT, covering token generation and remote configuration.
- Defined a Python function for iteratively calling a prediction function with varying parameters, incorporating file management practices.
- Provided a code example for using the
predict_savefunction, emphasizing parameter requirements and efficiency improvements. - Explained the use of for loops with dictionaries to pass arguments to functions in Python, with a specific focus on the
predict_save()function. - Reviewed the
ajustar_empleo()function, which adjusts employment levels in a pandas DataFrame, suggesting verbosity and input validation enhancements.
Achievements:
- Successfully transitioned GitHub authentication methods to more secure options.
- Enhanced understanding of SSH key management and passphrase implications.
- Developed and refined Python functions for data processing tasks.
Pending Tasks:
- Further improve the
ajustar_empleo()function with additional input validation and verbosity options.