title: MySQL v. SQLite for Python based financial web app
body: <p>I'm building a finance application in Python to do time series analysis on security prices (among other things). The heavy lifting will be done in Python mainly using Numpy, SciPy, and pandas (pandas has an interface for SQLite and MySQL). With a web interface to present results. There will be a few hundred GB of data.</p>
  
  <p>I'm curious what is the better option for database in terms of performance, ease of accessing the data (queries), and interface with Python. I've seen the posts about the general pros and cons of SQLite v. MySQL but I'm looking for feedback that's more specific to a Python application.</p>