The Python script presented in this article has been used to analyse the impact of COVID-19 on the various business sectors of the S&P 500 index, but can also be easily adapted to any other analysis of financial markets.
The code has been developed in Python programming language, and can be found in my GitHub repository (link below) as a Jupyter notebook.
The script makes use of standard Python packages (i.e. pandas, bokeh, math) as well as the yfinance API (Application Programming Interface), that is used to download the S&P 500 stock prices. The API is free to use and it is public, meaning that the user does not need an individual API key.
# Import libraries import yfinance as yf import pandas as pd from bokeh.plotting import figure import bokeh.models as bmo from bokeh.palettes import Paired11 from bokeh.io import show from bokeh.models import ColumnDataSource, HoverTool import math
Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.
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Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.
Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is
Syntax: x = lambda arguments : expression
Now i will show you some python lambda function examples:
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Profitability ratios are financial metrics offering insights on how good a company is able to generate earnings from revenues, assets and equity. In this post, we will perform a profitability margin analysis with Python by comparing profitability ratios across peer companies. Below are the 5 different related profitability ratios that we will calculate and analyse:
How to Calculate Profitability Ratios
Before starting with the Python code to identify peer companies and analyse profitability margins, we will introduce each of the ratios in this section.
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Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler?
In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.
Swapping value in Python
Instead of creating a temporary variable to hold the value of the one while swapping, you can do this instead
>>> FirstName = "kalebu" >>> LastName = "Jordan" >>> FirstName, LastName = LastName, FirstName >>> print(FirstName, LastName) ('Jordan', 'kalebu')
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Today you’re going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates.
In many situations you may find yourself having duplicates files on your disk and but when it comes to tracking and checking them manually it can tedious.
Heres a solution
Instead of tracking throughout your disk to see if there is a duplicate, you can automate the process using coding, by writing a program to recursively track through the disk and remove all the found duplicates and that’s what this article is about.
But How do we do it?
If we were to read the whole file and then compare it to the rest of the files recursively through the given directory it will take a very long time, then how do we do it?
The answer is hashing, with hashing can generate a given string of letters and numbers which act as the identity of a given file and if we find any other file with the same identity we gonna delete it.
There’s a variety of hashing algorithms out there such as
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