Learning Python for S&T

Based on the most helpful WSO content, Python is highly recommended for Sales & Trading (S&T) roles due to its versatility and ease of use. Here’s how you can approach learning Python effectively for S&T:

1. Focus on Relevant Libraries:

   • Start with Pandas for data manipulation and analysis.
   • Learn NumPy for numerical computations.
   • Explore Matplotlib for data visualization.

2. Practical Applications in S&T:

   • Automating repetitive tasks.
   • Analyzing large datasets for trading strategies.
   • Building simple models for pricing or risk management.

3. Beginner-Friendly Resources:

   • Online platforms like Coursera or Udemy offer beginner Python courses tailored for finance.
   • Andrew Ng's Machine Learning course on Coursera is also a great resource, though it uses Octave, which can be adapted to Python.

4. Desk-Specific Needs:

   • As noted in WSO threads, the specific coding requirements can vary by desk. Some desks may prioritize Python, while others might lean on VBA. It’s a good idea to ask your desk for guidance once you start.

5. Excel and VBA:

   • While Python is powerful, don’t overlook Excel and VBA. They are still widely used in S&T and can complement your Python skills.

6. Learn Problem-Solving:

   • A key takeaway from WSO discussions is that knowing how to search for solutions (e.g., Googling effectively) is as important as coding itself.

By starting with these steps, you’ll build a strong foundation in Python and be well-prepared for your S&T role.

Sources: Technical Skills to Prep for SA S&T, Programming/Technical Skills for Finance: SQL and Python, Programming/Technical Skills for Finance: SQL and Python