| According to all known laws of aviation, there is no way a bee should be able to fly. | |
| Its wings are too small to get its fat little body off the ground. | |
| The bee, of course, flies anyway because bees don't care what humans think is impossible. | |
| Yellow, black. Yellow, black. Yellow, black. Yellow, black. | |
| Ooh, black and yellow! | |
| Let's shake it up a little. | |
| Barry! Breakfast is ready! | |
| Coming! | |
| Hang on a second. | |
| Hello? |
| """ | |
| B-004 - Using Sets for Data Analysis | |
| https://pbpython.com/data-analysis-with-sets.html | |
| """ | |
| A More Complex Problem: for loop to generate automatic report | |
| import pandas as pd | |
| df = pd.read_csv("../data/sample-sales.csv") | |
| df.head() |
| import pandas as pd | |
| import seaborn as sns | |
| # Define the headers since the data does not have any | |
| headers = ["symboling", "normalized_losses", "make", "fuel_type", "aspiration", | |
| "num_doors", "body_style", "drive_wheels", "engine_location", | |
| "wheel_base", "length", "width", "height", "curb_weight", | |
| "engine_type", "num_cylinders", "engine_size", "fuel_system", | |
| "bore", "stroke", "compression_ratio", "horsepower", "peak_rpm", | |
| "city_mpg", "highway_mpg", "price"] |
| import numpy as np | |
| import pandas as pd | |
| import sys | |
| import os | |
| import ast | |
| import re | |
| """ | |
| # weak name standardization |
| import pandas as pd | |
| import numpy as np | |
| import os | |
| import networkx as nx | |
| from itertools import combinations, chain | |
| """ | |
| Process | |
| 1. Matrix drawing | |
| 1) Import venture-investor pair data |
Guide to patch the Netflix iOS binary to stop it from crashing when it detects it's running on a Mac via PlayCover.
Netflix intentionally crashes itself when it detects it's running on macOS (isMacCatalystApp). This script tries to dynamically find that check in the binary and replaces it with a no-op.
Tested on: Netflix 18.x · M4 macOS 26 · PlayCover 3.x
| # -*- coding: utf-8 -*- | |
| # ====================================================================================================================================================== | |
| """ | |
| Created on Thu Apr 22 09:00:54 2021 | |
| @author: Utpal Kumar (IES, Academia Sinica) | |
| """ | |
| # ====================================================================================================================================================== | |
| import pandas as pd |
| import pandas | |
| import json | |
| import math | |
| def load_and_display_csv(filepath): | |
| """ | |
| Пробує завантажити файл 28,5 ГБ зі значеннями, розділеними комами (csv), | |
| за вказаним шляхом filepath. Виводить індекси та назви колонок. | |
| Перехоплює перші можливі помилки. Допоміжна функція для визначення |
| # Function to find k'th non repeating character | |
| # in string | |
| from collections import OrderedDict | |
| def kthRepeating(input,k): | |
| # OrderedDict returns a dictionary data structure having characters of input | |
| # string as keys in the same order they were inserted and 0 as their default value | |
| dict=OrderedDict.fromkeys(input,0) | |
| # now traverse input string to calculate frequency of each character | |
| for ch in input: | |
| dict[ch]+=1 |
| # ============================================================================= | |
| # PARSED ITEM CLASS | |
| # ============================================================================= | |
| class ParsedItem: | |
| """Represents a parsed material item.""" | |
| def __init__(self, row_number: int, raw_text: str, quantity: float = None, | |
| unit: str = None, parsed_name: str = None, specifications: str = None): |
