Python Programming Tutorials
In this tutorial we will be learning about how to customize your windows terminal with anaconda or any other program that runs in the command prompt. First of all we will install windows terminal and then anaconda. Installing Windows Terminal The requirements for installing windows terminal is that your Windows 10 Operating system must have …
How to Add Anaconda To Windows Terminal For Data Science Read More »
In a previous tutorial we learnt about the various ways of productionizing and deploying machine learning models and one of the ways is to use docker. In this tutorial we will be using docker to deploy our streamlit app. What is Docker? Docker is a platform for developers and sysadmins to build, share and run …
In this tutorial we will see how to convert JSON – Javascript Object Notation to SQL data format such as sqlite or db. We will be using Pandas for this. Installation pip install pandas sqlalchemy Method 1 : Using Sqlite3 import pandas as pd import json import sqlite # Open JSON data with open(“datasets.json”) as …
In this tutorial we will be learning how to build an API. What is an API? An API refers to Application Programming Interface. API are like messengers that act as intermediary between two or more applications. It is an interface for interacting and communicating with other softwares and devices. Supposing I have a database or …
Building APIs(Application Programming Interface) – Using Flask, FastAPI and Nodejs Read More »
Building Machine learning models can be time consuming and tedious,but with the advent of Auto ML services and application we can reduce our burden . In this tutorial we will be building a Semi – Automated ML app with streamlit. It is going to be a drag and drop machine learning app that features Exploratory …
Building A Drag & Drop Machine Learning App with Streamlit Read More »
In this tutorial we will be looking at a nice python tool for building and publishing python packages and libraries. Poetry is a python dependency management tool that enables us to manage several python dependencies on your system. It comes with the ability to create virtual environment just like pipenv. Just like pipenv, it manages …
In this tutorial we will be looking at how to use the command line when working with a data science project. We will be doing data analysis with the command line – shell or bash. Most data science projects are done with languages such as Python,R,Julia, Javascript,Java ,C languages,Matlab . We will be checking how …
In this tutorial we will be building a document redaction app. Document redaction refers to the process of sanitizing and censoring a document based on selected terms. It is one of the applications of NLP – natural language processing. This image shows some of it use. In this case the important terms have been blacked …
Building A Document Redactor NLP App with Streamlit,Spacy and Python Read More »
In this tutorial we will be see how to render the named entities of a text extracted using spacy’s displacy in flask. First of all the basic requirement is to use the following packages Flask Spacy Flask-Markdown To install the various packages we will be using pip as below pip install flask Flask-Markdown spacy To …
How to Use Displacy in Flask For Named Entity Recognition Read More »
In this tutorial we will be learning how to render markdown in flask. There are several ways you can use to render markdown from the back-end(python side) to the front-end (html) side of your flask app. These packages include Flask-Markdown Flask-Misaka Markdown Let us start with Flask-Markdown. Using Flask Markdown Installation pip install Flask-Markdown …