Automating scraping and storage of RSS feed from News articles in Python using Beautifulsoup package Use-case: News and news articles can be overwhelming and hard to structure, specially when we are dealing with complex or multi-dimensional domains or communities that… Read More »Keep up with news in my community with an easy but rewarding Python project | RSS Feed Crawler
Safely store and use as many your login – password credential information for access of different data bases or systems in your python kernel environment without revealing the credentials in python script Use-case: It is a security consideration to avoid… Read More »How to use keyring in python code: safe storage of credentials in everyday coding
Particular useful for non-technical professionals or beginners. What are different types of marges for data tables and how we can apply them on any data tables or sheets, for example on excel or google sheets files Use-case: A tutorial for… Read More »Step-by-step Data Table Merging or Cross Referencing Tutorial for Beginners – covering all types of merges
Upload files in web scraping with two ways in an error-free manner using selenium, pyAutoGui packages in Python & Chrome-Driver Use-case: A python tutorial with example on how to automate uploading files in web scraping projects using two methods. It… Read More »Tutorial on Automated Uploading Files – Web Scraping with Selenium in Python
– Public data using a python API Use-case: In this tutorial, we show how to Download the meta data available for all the publicly available datasets or data tables from Statistics Canada in python Download any data table from Statistics… Read More »Downloading meta-data and data from Statistics Canada
Run R online in portable fashion, without installing any program Use-case: Run R in any computer or machine online using Google Colab, without the need to install R or R editors such as R Studio. Video Tutorial for this blog… Read More »Run R code in Google Colab
Use-case: The relation and difference between sample mean regression coefficients in linear data models Use-case: How to generate random data for linear regression in python. This is a python tutorial to set up or generate random sample data or simulated… Read More »Set up Random Data for Regression using Data Simulation in order to Run Regression in Two Ways in Python
Example for applying plotly (plotly.px) in Python to create interactive bar charts Use-case: A Python tutorial for data visualization beginners guide on how to create interactive chart in Python. In this blog, we use a bar chart as an example… Read More »Interactive charts in Python
Getting structured address components (Street name, street number, street direction, city, state/province, etc.) from unstructured text examples of using ez_address_parser and usaddress packages Use-case: Let’s say we want to extract consistent and structured address information from raw text or from… Read More »Parsing Address strings in Python: structure address text data in python
– cross reference and apply shapefile polygons on coordinates in data – Python/GIS | Geopandas & shapley Use-case: Applying reverse-geocoding free of charge using an appropriate shapefile (including polygons data) in Python. Let’s say you have some geographical coordinates in… Read More »Reverse Geocoding: Find city names from latitude and longitude coordinates