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python #coding #programming # In a terminal: pip install qrcode[pil] import qrcode url = input("Enter the URL: ").strip() file_path ...

python #coding #programming # Iterator = An object that returns elements one at a time # from a sequence (or data stream) # and ...

python #coding #programming # Generator = Function that behaves like an iterator (it can be used in a for loop) # Pauses a ...

coding #python #programming Selection in Pandas means pulling out specific data from a Series or DataFrame. import pandas as ...

coding #programming #numpy This is an introduction to how to get started working with NumPy 1. open a terminal 2. pip install ...

python #coding #programming # Generator Expression = Similar to a list comprehension but uses () instead of [] # Creates a ...

python #coding #numpy # dtype = Keyword argument that tells NumPy what kind of values are stored in an array # Otherwise ...

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coding #python #numpy import numpy as np array = np.array([[['A', 'B', 'C'], ['D', 'E', 'F'], ['G', 'H', 'I']], [['J', 'K', 'L'], ['M', 'N', 'O'], ['P', ...

coding #python #programming A Series is a one-dimensional labeled array that can hold data of any type. Think of it like a single ...

python #coding #programming # Data Class = A special kind of class that's designed mostly for holding data # without writing a lot ...

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coding #numpy #python Slicing in NumPy allows you to extract portions of an array using a [start:stop:step] syntax. It works ...

python #coding #matplotlib Matplotlib is a Python library used for data visualization. It provides a MATLAB-like interface for quick ...

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python #coding #numpy # reshape() = Changes the shape of an array # w/o altering its underlying data # array.reshape(rows, ...

coding #python #programming Data cleaning is the process of fixing or removing: incomplete, incorrect, or irrelevant data.

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coding #programming #cprogramming // malloc() = A function in C that dynamically allocates // a specified number of bytes in ...

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