It’s time to up your visualization game! — Data visualization has emerged as the most intuitive and effective way for the human brain to understand complex information. Visualizations not only help us to identify patterns and relationships that might be difficult to discern from raw data, but they also enable us to present our findings in a more…

All Cheatsheets you will ever need for Data Science! — Data Science requires a deep understanding of programming concepts, algorithms, and statistical models. While there is no substitute for hands-on experience and practice, having quick access to key concepts, functions, and syntax can be incredibly helpful in saving time and increasing productivity. This is where cheatsheets come in handy. In…

Follow this right approach to write your SQL queries — The Problem The majority of developers start writing their SQL queries with the ‘SELECT’ clause, then write ‘FROM’, ‘WHERE’, ‘HAVING’….and so on. But this is not the ‘right’ way of writing your SQL queries as this is very prone to syntactic errors, especially if you are a beginner in SQL. The Solution The ‘ideal’…

Use Vectorization — a super fast alternative to loops in Python — Introduction Loops come to us naturally, we learn about Loops in almost all programming languages. So, by default, we start implementing loops whenever there is a repetitive operation. But when we work with a large number of iterations (millions/billions of rows), using loops is a crime. You might be stuck for…

Data analysis is a fundamental aspect of any data-driven project. As datasets grow larger and more complex, the performance of our data analysis tools becomes crucial. Pandas, a popular Python library, has long been a go-to choice for data manipulation and analysis. …

Improving Your Jupyter Notebook Experience — Jupyter notebooks are a popular tool among data scientists and analysts for interactive computing, data visualization, and collaboration. While many users are familiar with the basic functionality of Jupyter notebooks, there are several lesser-known hacks that can greatly enhance productivity and efficiency. …

Can ChatGPT take your analysis to the next level? — In the era of data-driven decision-making, the role of data analysts has become increasingly critical. Data Analysts extract insights from complex datasets to drive business strategies and unlock valuable opportunities. However, data analysis can often be a challenging and time-consuming task, requiring expertise in both programming and statistical analysis. …

Python is a beautiful programming language — elegant, easy to read, and perfect for rapid prototyping. However, as your codebase grows, so does the risk of performance issues. Inefficient Python code can be frustratingly slow, and it’s often difficult to pinpoint the bottleneck. But fear not! In this article, We’ll…

Data Manipulation on a real-world dataset — Data Science is an ever-evolving field that is revolutionizing the way we analyze and make decisions based on data. In this era of data-driven decision-making, Python’s Pandas library has emerged as a game-changer. …