Implemented GitHub Authentication and Data Processing Functions

2 min read

📅 2023-01-20 — Session: Implemented GitHub Authentication and Data Processing Functions

🕒 21:30–23:40
🏷️ Labels: Github, SSH, Python, Data Processing, Authentication
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to transition from password-based authentication to SSH and Personal Access Tokens (PAT) for GitHub, and to implement Python functions for data processing.

Key Activities

  • Explored GitHub’s transition from password authentication to SSH and PATs, detailing setup steps for each method.
  • Provided guidelines for SSH key pair naming and storage, emphasizing security and backup.
  • Reflected on the use of SSH key passphrases for enhanced security.
  • Outlined steps to push code to a remote GitHub repository using a PAT.
  • Defined a Python function for iterative prediction with varying parameters, incorporating file management best practices.
  • Demonstrated the use of the predict_save function in data processing, optimizing parameter usage.
  • Explained the iteration over function arguments using dictionaries in Python for the predict_save function.
  • Reviewed the ajustar_empleo() function for adjusting employment levels in a pandas DataFrame, suggesting improvements in verbosity and input validation.

Achievements

  • Successfully transitioned to more secure GitHub authentication methods.
  • Developed and optimized Python functions for data processing and iteration.

Pending Tasks

  • Further improve input validation and verbosity in the ajustar_empleo() function.

Graph View

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