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 …
Pipreqs Tutorial – How to Create Requirements.txt File In Python with Ease Read More »
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 …
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 …
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 …
3 Exploratory Data Analysis Tools In Python For Data Science Read More »
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 …
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 …
Exploratory Data Analysis of Drug Review Dataset using Python Read More »
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 …
Clustering Countries into Continents using Unsupervised Machine Learning Read More »
As a developer or data scientist or programmer that works with data, it is essential to know how to protect your data and keep it secure. In this tutorial we will learn about the various ways we can protect our data using python. We will be focusing specifically on protecting passwords. In building a CRUD …
Securing Data Using Password Hashing and Data Encryption Read More »
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 …
Rich Text and Beautiful Formatting in the Terminal with Rich Python Read More »
In the previous tutorial we saw how to build a simple login page for Streamlit,in this post we will check out the various ways to secure our app and in most cases any web app that has a login and a form of database. In designing your web applications there are certain measures to take …
Securing Login Page/Section From SQL Injections – For Streamlit Apps Read More »