Python

Python Programming Tutorials

How to Add Layout to Streamlit Apps

Streamlit is awesome we several cool and useful features, in this tutorial we will explore yet another additional feature of streamlit – st.beta_columns() and st.beta_expander(). This feature is available from version 0.68 and upwards hence you will need to upgrade your previous version via pip install streamit -U or pip install streamlit –upgrade Let us …

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3 Exploratory Data Analysis Tools In Python For Data Science

Exploring your dataset is an essential aspect of every data science task or project. As an aspect of the Data Science Life Cycle , it allows you to derive descriptive and practical insight into what your data comprises of. It is essential to know how to derive such insight from your data by creating your …

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Text Classification with Flair – Pytorch NLP Framework

In today’s tutorial we will be exploring another powerful natural language processing library called Flair. We will be seeing how to use Flair for text classification. Specifically we will learn how to build a model to predict or classify text as either offensive or non-offensive. What is Flair? Flair is a state of the art(SOTA) …

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How to Run Streamlit Apps From Google’s Colab

The simplicity that streamlit offers for building apps is so cool and useful. But sometimes you may be constrained by lack of compute or incompatible  working environment on your local computer. In most cases Colab solves that problem. But what if you want to share your streamlit app with others from Colab. In this tutorial …

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Exploratory Data Analysis of Drug Review Dataset using Python

Exploratory Data Analysis is an important aspect of any data science project. It forms the initial steps before moving into the Machine learning aspects. In this tutorial we will be exploring the drug review dataset using python in an elaborate way.  In doing EDA (exploratory data analysis) it is recommended to keep in mind the …

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Clustering Countries into Continents using Unsupervised Machine Learning

Unsupervised Machine learning has several applications among them include its usage in identifying patterns and for clustering similar data into clusters or groups. In this tutorial we will see how to use unsupervised ML to perform a simple task of identifying the right continents a country belongs to given the longitude and the latitude. Unsupervised …

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Simple NLP app with Spacy-Streamlit

In this tutorial we will build a simple natural language processing(NLP) app with an awesome package called Spacy-Streamlit. Spacy-Streamlit is a python package that is useful for visualizing spaCy models and building interactive spaCy-powered apps with Streamlit. It has several functions and utils for visualizing spacy’s essential NLP features such as Tokenization using visualize_tokens() NER(Named …

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Machine Learning with PyCaret in Python

In this fourth industrial age – the Age of AI, the knowledge and applications of machine learning is essential for every business and industry. It has a lot of potential and benefit when incorporated into your business . But not everyone has the time and the energy to learn the intricacies of Data Science and …

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Rich Text and Beautiful Formatting in the Terminal with Rich Python

In this tutorial we will be exploring Rich – a  python package for working with rich text and beautiful formatting in the terminal or command prompt. First of all let see some of the benefits  we can do with this package. Adding Color and Style to Text Emoji Markdown Syntax Highlighting Tables In the Terminal …

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