Showing posts with label Pandas. Show all posts
Showing posts with label Pandas. Show all posts
Sunday, December 28, 2025

Quick tip: retrieving raw, unprocessed files stored in Github

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 The domain raw.githubusercontent.com serves raw, unprocessed files stored in Github repositories - think of it as GitHub's "direct...
Tuesday, December 23, 2025

Interactive Pandas dataframes with ITables 2.0

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 ITables is a Python package available on Github (maintained by Marc Wouts) which changes how Pandas and Polars dataframes are rendered in P...

Enable and disable Data Wranger in VS Code for Pandas DataFrame and Series

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To disable default rendering of Pandas DataFrames in VS Code Jupyter Notebook with Data Wrangler (after installing the extension) - follow t...
Wednesday, August 06, 2025

Divididend analysis of Telenor ASA using Jupyter Notebook

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Cross posted from  Divididend analysis of Telenor ASA using Jupyter Notebook I just published the notebook  dividends.ipynb  on my GitHub  r...
Sunday, July 14, 2024

Quick note: Python date and time objects

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In Python, a naive datetime object is one that does not contain any information about time zones or daylight saving time. This means it is u...
Tuesday, April 18, 2023

Looking at historical returns of stocks and bonds with Power BI and Python

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You might already have seen below graph taken from a study by JP Morgan Asset Management, but what if you would like to look at historical r...
Friday, August 12, 2022

Using the yFinance Python package to download financial data from Yahoo Finance - part 2

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In a previous post I showed how you can download ticker data from Yahoo Finance using the yFinance Python package.  I now updated the   Ju...
Thursday, July 21, 2022

Using the yFinance Python package to download financial data from Yahoo Finance

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In a previous post I explained how you can retrieve data from Yahoo Finance using Python and Pandas Datareader  - an alternative Python libr...
Sunday, June 12, 2022

Using Python and Pandas Datareader to retrieve financial data - part 3: Yahoo Finance

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Yahoo Finance is one of the most popular sources of free financial data. It does not only contain historical data but also financial stateme...
Thursday, May 19, 2022

Using Python and Pandas Datareader to retrieve financial data - part 2: Fama & French data library

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This post is part of a series on using Pandas datareader to retrieve financial data: Using Python and Pandas Datareader to retrieve financia...
Wednesday, May 04, 2022

Using Python and Pandas Datareader to retrieve financial data - part 1: Federal Reserve Data (FRED)

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The pandas-datareader Python library covers a number of APIs with global fundamental macro- and industry data sources including the followin...
Wednesday, April 22, 2020

Working with multiple time series trading data from Quandl in Jupyter Notebooks

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In the previous example - Using Euronext stock data from Quandl in Jupyter notebooks I downloaded a single dataset from Quandl. But it is a...
Monday, April 20, 2020

Using Euronext stock data from Quandl in Jupyter notebooks

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The last couple of weeks I have been learning about Python and how to use it for stock and derivative trading. One of the challenges is gett...