Data Science

Cerberus — A neat and readable way to validate attributes of a dictionary — It is not common to use lots of dictionaries in our Python programs to hold data objects with attributes. One typical example will be Web Development. Suppose we are using Python to develop the backend web services, it will be important to verify the JSON…

A step-by-step guide to web automation with Selenium in Python: Learn how to create XPath, click on buttons, type text, upload a photo, and more. — One of the coolest things you can automate with Python is the web. Why? The number of websites out there is endless. You only need to learn the basic concepts of web automation to automate most websites. In this guide, I’ll show you how to automate WhatsApp Web using Selenium…

Master Python’s merge, concat, and join in your coffee time! — Python is the Best toolkit for Data Analysis! 🔋 The data required for a data-analysis task usually comes from multiple sources. And therefore, it is important to learn the methods to bring this data together. In this article, I have listed the three best and most time-saving ways to combine…

Implementing boxplots, Fourier transform, entropy, autocorrelation, and PCA to analyze your time series data in Python — Data visualization is one of the most important stages in any data-related project. Depending on whom the data visualization is made for, there are: Data visualization to report results. Data visualization to analyze the data or, in other words, the visualization used internally by the data scientist to extract information…

How to install, set up, and use Poetry to manage your data science projects — Reproducibility is an important aspect of data science. When we talk about reproducibility in data science we refer to the ability to independently recreate the results of a project either by yourself at a later point in time or by a colleague. Having processes that ensure reproducibility builds trust in…