~hackernoon | Bookmarks (6)

The article delves into the sophisticated problem of calculating the median within a sliding window across a data series, highlighting its significance in coding interviews and real-world applications such as high-frequency trading and time series analysis. It introduces essential data structures like binary heaps, queues, and lazy deletion dictionaries to efficiently tackle this challenge. By maintaining two heaps (min-heap for the larger half of...

In data analysis and manipulation, it is common to combine or concatenate multiple tables to create a single data structure for analysis. Pandas, a popular Python library for data manipulation and analysis, provides a `concat()` function that allows you to combine tables either horizontally or vertically. In this article, we will demonstrate how to use the `conCat()' function in pandas to concaternate tables horizontally...

Electric vehicle growth continues to accelerate, with some regions of the world predominantly selling EVs, and others accelerating their transition. In this article we dig into a dataset on historical EV adoption. We use Python, Plotly, and Quadratic to study the data.

This tutorial showcases the power of Python's xlsxwriter in saving and stylizing Excel sheets. From handling multiple data frames to formatting data types accurately, this step-by-step guide empowers you to master Excel with Python, enhancing your data management capabilities.