How to Save Uploaded Files to Directory in Streamlit Apps

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 …

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Using Golang For DataScience

Using Go For Data Science.Is it Easy?

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 …

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pypolars tutorial

PyPolars – Data Analysis with PyPolars – a Pandas Alternative

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 …

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Build and Deploy Flask App Using Hashicorp’s Waypoint

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 …

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Pipreqs Tutorial – How to Create Requirements.txt File In Python with Ease

Reproducibility and re-usability of your Python projects is an essential aspect of being a software developer or engineer, and one of the ways to do so is to provide means that others can get the same working environments you used for your projects and the same versions of packages and libraries used. This is one …

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How to Create Requirements.txt File In Python

When working on any python project or data science project it is essential to always work in an environment that makes your project reusable and repeatable without any issues for anyone that picks up your project in the future. This will even help you yourself when you revisit your project in the future. One of …

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