I have been lurking around quantopian for a while now; originally I was going to learn python quietly but stumbled upon and got inspired by this post. https://www.quantopian.com/posts/baby-steps-a-novice-quants-adventure-begins. I thought that I would do something similar seeing as the op hasn't posted in a while.
A little background about myself:
I am a student at a midwest college who is interested in finance. I have done fairly well prop trading stocks and bonds for a while now and thought that I would give algorithmic trading a shot. I have always been interested in finance, but just recently decided that this might be something I want to pursue after graduation.
I know a decent about of fundamental (DCFs) and technical analysis (bollinger bands, MAs, etc), along with some matlab, but barely any coding let alone python. (For matlab I read both of Ernest Chan's books and will try to replicate all of his strategies which are written in matlab in python.)
I am open to all investing styles. My personal investing style is buy and hold for at least a year so I don't get taxed at ridiculous rates. As I am young, I tend to have less risk aversion.
I finished the code academy course and I have recently started reading python for data analysis (http://www.amazon.com/Python-Data-Analysis-Wrangling-IPython/dp/1449319793), but I'm only on the second chapter and I am helplessly lost. Any suggestions on what to read/how to improve my python/pandas skills are greatly appreciated. Something along the lines of Ernest Chan's books would be preferred. I have searched for similar books to no avail, maybe I will write one to help other novices when I become proficient enough.
My goals are to eventually start live trading and do well enough that I could possibly do it professionally after graduation. I have dedicated around 3 hours to learning python everyday (I'm about a week in). I welcome all advice, criticism, etc...
Let the journey begin