Books on traviscj/blog

stocks and options from 30k feet

Fri, 14 Oct 2016 00:00:00 +0000

One of my friends at work asked me if I had any book recommendations for learning about stocks and options. Mentally, I break trading down into two general classes of trading: index-type and “exotic” trading. By exotic trading, I mean picking individual stocks/options and actively trading. This runs counter to the more conservative buy-and-hold, index-based, hands-off approach.

For the exotic trading, I learned most of what I know from a class with Professor W.E. Olmstead and his book, Options for the Beginner and Beyond: Unlock the Opportunities and Minimize the Risks. For the option-uninitiated, the basic idea is that instead of buying or selling stocks directly, you buy and sell contracts that give you the right (but not obligation) to buy or sell the stock at a particular price by a particular date. That’s a mouthful and options are indeed subtle beasts, but they allow the flexibility to either hedge risks you want less exposure to, or increase/leverage exposure to risks you do want to take.

language fluidity

Sun, 29 Dec 2013 00:00:00 +0000

I have learned a lot of programming languages over the course of my life. So I wanted to do two things:

Discuss a few effective ways to pick up a new language.
Discuss a few references that I’ve found helpful for some languages. I should start with a disclaimer: I do enjoy learning new languages, but mostly I enjoy creating things in those languages. I’m not sure all the effort I have spent learning many languages would not have been better spent learning many fewer languages to a deeper level, but I do feel like it is extremely important to learn principles, not languages, and to use the best tool for a particular job. Many times principles are most clearly illustrated with contrast between languages, and many more times a particular tool has been a patently poor choice for a particular job.

That being said, it’s important to know your “first tongue” languages in significant depth.

Numerical Recipes & Scientific Libraries

Sat, 26 May 2012 00:00:00 +0000

I attended a talk on how to use Quest, Northwestern University’s TOP500 supercomputer(At least during June 2010). Most of it was a routine introduction to MPI, but one interesting question raised was what routines we should be using in our scientific computing codes. A lot of holdouts were still using [ Numerical Recipes] for their research-level codes, which strikes me as a backwards way about it. Numerical Recipes is a starting point, and probably not the best thing to use: it has awful licensing and might not even be that reliable!

Five Critical Textbooks for (Applied!) Math & Physics Students

Sun, 04 Sep 2011 00:00:00 +0000

In the course of working through my first year at grad school, I’ve come up with five favorites for the basics of an undergrad understanding of the essential topics for applied math and physics. Without ado and in the order I’d take them off my shelf:

Mathematical Methods in the Physical Sciences - ML Boas. This is my favorite, because it contains almost every technique you need, and it has a ton and a half of problems(over 3400). It contains a good review of complex analysis, linear algebra, differential equations, and calculus, but also chapters on special functions, partial differential equations, probability, tensors, and the calculus of variations. – Hidden Gem: Chapter 4, Section 12: Differentiation of Integrals, RP Feynman’s favorite trick.
Calculus - Greenspan. A great reference on calculus.
Complex Variables and Applications - Brown & Churchill: The most readable book on complex analysis I’ve read. Not so hidden gem: Most of the solutions are given right alongside the problem–a great book for self-study. Also the material on conformal mapping and fluid flows.
Linear Algebra And Its Applications - Strang. Nice book on linear algebra theory. – Hidden Gem: Chapter 7, Section 4: Iterative Methods for Ax=b and Gershgorin’s circle theorem.
Elementary Differential Equations and Boundary Value Problems - Boyce & DiPrima. Powerhouse of differential equation knowledge. Strangely, it is the book ESAM recommended, but not the book they use for teaching their undergrads.

I’ve spent probably the most time with Boas’ Mathematical Methods in the Physical Sciences–I’ve worked nearly 1000 problems out of the book to get ready for the preliminary exams my first year. It was completely worthwhile.

Python Playing

Fri, 28 Dec 2007 12:00:00 +0000

I’ve been playing around with Python a bit more over the break, mostly because I want to be lazy in my code-writing for the forseeable future, plus I’d like to give NumPy a shot, but I want to have a solid background before trying that. One thing that just has not gotten old yet is the ability to assign functions absolutely anywhere in python. You can pass them around like variables, put them in dictionaries, return them from functions, whatever. I mean, I lived in parenthesis for a while in my scheme class, so it’s not like I haven’t been exposed to it, but it’s still damn cool. You can do cool stuff like making a tuple of some index, some value, and the function to process the other two. That makes it so much easier to deal with various combinations of neat datastructures. Anyways, the book I’ve been reading is Dive Into Python, off diveintopython.org. I’m currently at about page 114 out of 327, and I’ve fairly faithfully read most of it up until that point. The format seems slightly frustrating to me, but it’s probably just because it’s such a departure from what a lot of books and tutorials use. It seems helpful and worthwhile in any case.