This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import matplotlib | |
| import numpy as np | |
| from math import * | |
| import matplotlib.pyplot as plt | |
| '''Funktsioon, mida peame lähendama: f(x) = ln(x)''' | |
| def f(x): | |
| output = [] | |
| for elem in x: |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| time1 = time.perf_counter_ns() | |
| #################################### | |
| #################################### | |
| #### #### | |
| #### CODE BLOCK #### | |
| #### #### | |
| #################################### | |
| #################################### | |
| time2 = time.perf_counter_ns() | |
| print = time2 - time1 |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import numpy as np | |
| import time | |
| length = 10 | |
| native_lst = [i for i in range(length)] | |
| numpy_lst = np.array(native_lst) |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import numpy as np | |
| import pandas as pd | |
| from pandas_datareader import data as wb | |
| import matplotlib.pyplot as plt | |
| from scipy.stats import norm | |
| ticker = 'BA' | |
| data = pd.DataFrame() | |
| data[ticker] = wb.DataReader(ticker, data_source='yahoo', start='2015-1-1')['Adj Close'] | |
| plt.figure(figsize=(10,6)) |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import pyautogui as pag | |
| import time | |
| import copy | |
| sudoku = [[0, 0, 0, 0, 0, 0, 0, 0, 0], | |
| [0, 0, 0, 0, 0, 0, 0, 0, 0], | |
| [0, 0, 0, 0, 0, 0, 0, 0, 0], | |
| [0, 0, 0, 0, 0, 0, 0, 0, 0], | |
| [0, 0, 0, 0, 0, 0, 0, 0, 0], | |
| [0, 0, 0, 0, 0, 0, 0, 0, 0], |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import pandas as pd | |
| import numpy as np | |
| import datetime as dt | |
| import math | |
| import warnings | |
| warnings.filterwarnings("ignore") | |
| prices = pd.read_csv("adjclose.csv", index_col="Date", parse_dates=True) | |
| volumechanges = pd.read_csv("volume.csv", index_col="Date", parse_dates=True).pct_change()*100 |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import pandas as pd | |
| stocks = [] | |
| f = open("symbols.txt", "r") | |
| for line in f: | |
| stocks.append(line.strip()) | |
| f.close() | |
| volumes = pd.read_csv("volume.csv") |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| MSFT | |
| AAPL | |
| AMZN | |
| FB | |
| JPM | |
| GOOGL | |
| GOOG | |
| JNJ | |
| V | |
| PG |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import imageio | |
| import os | |
| import matplotlib.pyplot as plt | |
| lst1 = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] | |
| lst2 = [5, 4, 3, 5, 6, 5, 8, 7, 8, 10, 5, 6] | |
| lst3 = [9, 6, 6, 7, 6, 4, 6, 9, 11, 8, 7, 4] | |
| def createfiles(): |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| def average(lst): | |
| return sum(lst) / len(lst) | |
| def findss(lst): | |
| # finds the sum of squares | |
| ss = 0 |
NewerOlder