kadereub

# [1] https://github.com/pandas-dev/pandas/blob/main/pandas/tseries/holiday.py
from pandas.tseries.offsets import CDay, Day
from pandas.tseries.holiday import AbstractHolidayCalendar, Holiday, sunday_to_monday, \
    DateOffset, MO, next_monday, next_monday_or_tuesday, GoodFriday, EasterMonday


class Holidays_South_Africa(AbstractHolidayCalendar):
    rules = [
        Holiday('New Years Day', month=1, day=1, observance=next_monday),
        Holiday('Human Rights Day', month=3, day=21, observance=sunday_to_monday),

kadereub

Installing Miniconda and PyTorch the Hard Way

This guide ensures the installation of Python (miniconda) and PyTorch runs using the Apple silicon on a M1 Pro (I know the M1 Max probably has no issues) - os specs:

    System Software Overview:

      System Version: macOS 12.1
      Kernel Version: Darwin 21.2.0
 Boot Volume: Macintosh HD

kadereub

# Step 1: Download zip file for bitstampUSD 
##### Link: -> http://api.bitcoincharts.com/v1/csv/
##### See SO post for more detail: https://stackoverflow.com/questions/16143266/get-bitcoin-historical-data

# Step 2: Extract CSV file and save in downloads
# Step 3: Run the below code reading and cleaning the data to save as minute ohlc data...

import os
import numpy as np
import pandas as pd

kadereub

import numpy as np
import numba as nb

# References
# [1] https://en.wikipedia.org/wiki/Heap%27s_algorithm

@nb.njit
def _factorial(n):
    if n == 1:
        return n

kadereub

# Load relevant libraries
import numpy as np
import numba as nb
import matplotlib.pyplot as plt

# Goal is to implement a numba compatible polyfit (note does not include error handling)

# Define Functions Using Numba
# Idea here is to solve ax = b, using least squares, where a represents our coefficients e.g. x**2, x, constants
@nb.njit