Ok so I thought it was about time we got into the nitty gritty of some “financial analysis”, rather than have me spout info regarding available beginners courses like I’m some sort of salesman. “I want to do some analysis”, I hear you scream…
Well ok then…let’s start. With the Python Pandas module.
So financial analysis usually starts by asking questions. I mean, our analysis has to be focused on something right? Data/financial analysis is just a tool, rather than an end in itself.
As promised in the last blog post, it’s time to review some of the beginner resource material mentioned previously, aimed at those who want to learn Python. I’ve decided to start off with the courses provided by Coursera (www.coursera.com). They were my second port of call after www.codecademy.com when I first started learning Python on and off, about a year…
Ok, so…it’s time to get started. I thought the best thing to begin with would be to do a bit of research regarding available resources for beginner Python students. As I mentioned in a previous post, I have dabbled on and off (although very lightly) with learning Python, using some starter resources over the last year or so. This means…
I will be posting here regarding my journey to learn Python for use in designing and building automated trading strategies, along with general data analysis and perhaps (eventually) some web based python involving Flask and Django. I have been meaning to do this for some time (especially on the automated trading strategy side of things), having worked as a trader…