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  1. Focuses on functions: how to define a function and how to pass information to a function. Covers positional and keyword arguments, return values, passing lists, using modules, and more. Beginner's Python Cheat Sheet - Classes. Focuses on classes: how to define and use a class.

    • Data Type in Python. The type() function can be used to define the values of various data types and to check their data types. Python3. x = "Hello World" x = 50.
    • Python Program to Print Hello world. The print() function in Python is used to print Python objects as strings as standard output. Python3. print("Hello World")
    • Python Input. The input() method in Python is used to accept user input. By default, it returns the user input as a string. By default, the input() function accepts user input as a string.
    • Python Comment. Comments in Python are the lines in the code that are ignored by the interpreter during the execution of the program. There are three types of comments in Python
    • Importing Packages
    • The Working Directory
    • Getting Started with Lists
    • Getting Started with Dictionaries
    • Numpy Arrays
    • Getting Started with Dataframes

    Python packages are a collection of useful tools developed by the open-source community. They extend the capabilities of the python language. To install a new package (for example, pandas), you can go to your command prompt and type in pip install pandas. Once a package is installed, you can import it as follows.

    The working directory is the default file path that python reads or saves files into. An example of the working directory is ”C://file/path". The os library is needed to set and get the working directory.

    A list is an ordered and changeable sequence of elements. It can hold integers, characters, floats, strings, and even objects.

    A dictionary stores data values in key-value pairs. That is, unlike lists indexed by position, dictionaries are indexed by their keys, the names of which must be unique.

    NumPy is a python package for scientific computing. It provides a multidimensional array of objects and efficient operations on them. To import NumPy, you can run this Python code import numpy as np

    pandas is a fast and powerful package for data analysis and manipulation in python. To import the package, you can use import pandas as pd. A pandas DataFrame is a structure that contains two-dimensional data stored as rows and columns. A pandas series is a structure that contains one-dimensional data.

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  2. May 22, 2024 · Concavity provides valuable insights into how a function curves, distinguishing between concave upward and concave downward shapes, while points of inflection mark locations where the curvature changes sign.

  3. Doc Strings - Documentation for your functions in the interview to look slic 😎. A docstring is short for documentation string. Python docstrings (documentation strings) are the string literals that appear right after the definition of a function, method, class, or module.

  4. Defines a new function or class method. def say_hi(): print('hi') if, elif, else. Conditional execution: “if” condition == True? "elif" condition == True? Fallback: else branch. = int(input("ur val:")) if x > 3: print("Big") elif x == 3: print("3") else: print("Small") for, while. # For loop. for i in [0,1,2]: print(i) # While loop does same.

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  6. When a function is part of a class, we refer to it as a method. Classes define templates or blueprints for creating objects. An object is an instance of a class. Every time we create a new instance, that instance follows the structure we define using the class. point1 = Point(10, 5) point2 = Point(2, 4) __init__ is a special method called ...

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