In the age of Internet and AI , data is quite important. As the volumne of data increase we will need performant systems to be able to analyse them.In this tutorial we will explore how to use Golang to Analysis Data.Python is mostly used for data science and data analysis – but let us see …
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 »
Streamlit makes it quite easy and simple to build production ready data science apps (or Data Apps). In this post we will see how to deploy a simple app that uses some NLP packages such as Spacy and TextBlob on Streamlit Sharing. By the end of this post, you will learn How to generate requirements.txt …
In this tutorial we will explore Waypoint – a tool designed by Hashicorp to build,deploy and release your application with ease and simplicity. Waypoint makes it easier for developers to build,deploy and release most applications using a similar and simple workflow. The main requirement includes Your App requirements.txt : For the app you want to …
Build and Deploy Flask App Using Hashicorp’s Waypoint Read More »
Streamlit is such an awesome framework that allows you to build several cool data science apps. In this tutorial we will see how to embed PDF files in our streamlit app. To be able to do so we will need just 2 main things st.markdown() : this will enable us to use the same format …
One of the most common tools used by most Data Scientists when doing a project is a Jupyter Notebook – which can be used primarily with Julia (the Ju in JUpyter) Python (the Pyt In JuPYTer) and R (the R in the JupyteR). It quite useful and has a large community. Let us see another …