https://wen.yunshangtool.cn/tags/data-science/Recent content in Data Science on Dev ToolkitHugo -- gohugo.ioen-usTue, 02 Jun 2026 00:00:00 +0000https://wen.yunshangtool.cn/posts/python-data-analysis/Tue, 02 Jun 2026 00:00:00 +0000https://wen.yunshangtool.cn/posts/python-data-analysis/Pandas is the most popular Python library for data manipulation and analysis. Whether you are working with CSV files, databases, or APIs, Pandas provides powerful tools for every data task. Core Data Structures: Series (1D labeled array) and DataFrame (2D table). Think of a DataFrame as an Excel spreadsheet in Python. Essential Operations: Reading data (pd.read_csv()), inspecting (df.head(), df.info()), filtering (df[df.column > value]), grouping (df.groupby().mean()), and merging (pd.merge()). Real Example: Analyzing sales data to find top-performing products by region: