In the age of Information technology in which data is the new oil and AI(Artificial Intelligence) & Applicable Insight are the new refined products from this new oil – algorithms act as the refinery and the platform for getting the best of the mined data. In the petroleum industry having the crude oil is not …
Data is everywhere, but sometimes when building a web site or testing out a product you may need quick data to use to test drive your app or product. This is where the Faker library comes to play. The idea behind Faker is quite simple to generate data randomly per certain fields. This library has …
Building A Fake Data Generator App with Streamlit and Python Faker Read More »
Sometime ago we learnt about how to upload files and process the uploaded files in Streamlit. We dived deeper into the Streamlit UploadedFile Class and how it reads it as a file-like Byte IO type. In this tutorial we will learn about how to save our uploaded file into a directory. This is useful in …
How to Save Uploaded Files to Directory in Streamlit Apps Read More »
Go also know as Golang is a simple yet powerful programming language created around 2009 and backed by Google. Go is fast, statically typed, compiled language that feels like a dynamically typed, interpreted language. With a lot of features built within it, it is a great tool. In this series of tutorials and posts we …
Pandas is one of the best libraries for doing data analysis in general. It is so popular and useful that it has become the defactor DataFrames library when doing Data Science in Python. However, there are times that your dataset may be too big for Pandas and too small for PySpark – this is where …
PyPolars – Data Analysis with PyPolars – a Pandas Alternative Read More »