This article records some of the knowledge that appears in the book, convenient to use when the query. Implied volatility rate
The implied volatility is the value of those fluctuations in the price of different options and the market quotations measured on the maturity date under other conditions unchanged.
In this case, the implied volatility is not the input parameter of the model/formula, but the result of a digital optimization process of the Formula 4.1 basic data structure:
The Python integer can be arbitrarily large, and the interpreter simply uses the desired bit/byte representation value.
A = 10000
a.bit_length () #结果为17位
term = 10**100
term.bit_lengt () #结果为333位
String
Dictionary
Matplotlib Visualization:
6.1 Pandas
Data_range function
Freq Parameter Select value
Plot method (pandas on Matplotplib interface)
Processing method of pandas corresponding time slice
>>> index = pd.date_range (' 1/1/2000 ', periods=9, freq= ' T ') >>> series = PD. Series (Range (9), Index=index) >>> Series 2000-01-01 00:00:00 0 2000-01-01 00:01:00 1 2000-01-01 00:02:00 2 2000-01-01 00:03:00 3 2000-01-01 00:04:00 4 2000-01-01 00:05:00 5 2000-01-01 00:06:00 6 2000-01-01 00:07:00
7 2000-01-01 00:08:00 8 freq:t, Dtype:int64 #以三分钟为时间片统计 Cumulative sum of data per three minutes >>> series.resample (' 3T '). SUM () 2000-01-01 00:00:00 3 2000-01-01 00:03:00 2000-01-01 00:06:00, freq:3t #向下填充获得每分钟的数据累计和 Dtype:int64 Sample (rule = ' 1min '). Ffill () 2000-01-01 00:00:00 3 2000-01-01 00:01:00 3 2000-01-01 00:02:00 3 2000-01-01 00: 03:00 2000-01-01 00:04:00 2000-01-01 00:05:00 a 2000-01-01 00:06:00 freq:t, Dtype:int64
High Performance Python
Because Python is too dynamic, it is not fast to compute science, so there are three ways to accelerate: Numba,pypy,cython.
1. Numba
The full name of the JIT is Just-in-time, in the Numba inside refers to Just-in-time compilation (Just-in-time compilation). Numba does not support list expressions, and its advantage is that it is effortless to apply the method to any function.
http://m.blog.csdn.net/hl541867329/article/details/75637324
http://blog.csdn.net/seekiu/article/details/46730951
2.Cython
3.pypy
https://www.zhihu.com/question/24695645?sort=created
4.GPU