https://www.python.org/downloads/source/
e.g.,
wget https://www.python.org/ftp/python/3.12.3/Python-3.12.3.tgz
tar -xzf Python-3.12.3.tgz
sudo apt install build-essential zlib1g-dev libbz2-dev liblzma-dev libncurses5-dev libreadline6-dev libsqlite3-dev libssl-dev libgdbm-dev liblzma-dev tk-dev lzma lzma-dev libgdbm-dev libgdbm-compat-dev
| def scientific_time(time_in_seconds): | |
| """String of time converted to closest scientific representation | |
| Args: | |
| time_in_seconds (double): time in seconds | |
| Returns: | |
| str: Converted time. e.g., 0.005 => 5 ms | |
| """ | |
| powers = [(1e-12, 'ps'), (1e-9, 'ns'), (1e-6, 'μs'), (1e-3, 'ms'), (1, 's'), (60, 'min'), (3600, 'hr'), (86400, 'day')] |
| using Random | |
| using Statistics: mean | |
| using BenchmarkTools | |
| function calculate_call_price(S, K, r, sigma, T, iterations) | |
| """ | |
| Calculates the price of a vanilla call option using Monte Carlo simulation | |
| Parameters: | |
| S (float): Initial stock price. |
| import numpy as np | |
| from numpy.fft import fft, fftfreq | |
| import matplotlib.pyplot as plt | |
| # Input: Sine wave with 30º offset | |
| # Expected results: discrete impulse with A/2 amplitude at fc | |
| # Phase equal to 90 - phase offset | |
| # | |
| # Phase may be noisy given lower oversampling rate | |
| # Have to adjust the threshold parameter | |
| A = 2 |
The tools can be GUI based or CLI based.
| abstract type Janken end | |
| struct Rock <: Janken end | |
| struct Paper <: Janken end | |
| struct Scissors <: Janken end | |
| janken(j1::Janken, j2::Janken) = println("Same object means a tie :O!") | |
| janken(r::Rock, p::Paper) = println("Rock is wrapped by paper :(") | |
| janken(r::Rock, s::Scissors) = println("Rock crushes scissors!!!") |
| #ifndef TERMINAL_COLOR_H | |
| #define TERMINAL_COLOR_H | |
| //the following are UBUNTU/LINUX, and MacOS ONLY terminal color codes. | |
| #define RESET "\033[0m" | |
| #define BLACK "\033[30m" /* Black */ | |
| #define RED "\033[31m" /* Red */ | |
| #define GREEN "\033[32m" /* Green */ | |
| #define YELLOW "\033[33m" /* Yellow */ | |
| #define BLUE "\033[34m" /* Blue */ | |
| #define MAGENTA "\033[35m" /* Magenta */ |
| # Author: Danilo Cavalcanti | |
| # Importing System Modules | |
| import numpy as np | |
| import cv2 as cv | |
| import matplotlib.pyplot as plt | |
| from bitarray import bitarray | |
| len = 4 | |
| lfsrVal = bitarray('1001') | |
| num = bitarray('1011') |
| from bitarray import bitarray | |
| # Currently unused in the project | |
| def SCC(X,Y): | |
| '''Calculated Stochastic Circuit Correlation between X and Y''' | |
| # overlapping 1's | |
| a = (X&Y).count() | |
| # overlapping 1's of X and 0's of Y | |
| b = (X&~Y).count() | |
| # overlapping 0's of X and 1's of Y |
| import numpy as np | |
| '''Auxiliary library to subdivide a matrix in groupings of | |
| 3x3 elements to speedup Sobel algorithm simulation''' | |
| def div2(mat): | |
| rows = mat.shape[0] | |
| cols = mat.shape[1] | |
| # Half values truncated for use in range() | |
| half_rows = int(rows/2) | |
| half_cols = int(cols/2) |