In practical work, we may encounter a scenario where we need to merge data from many Excel files into a single Excel file. Today, let’s see how to achieve this functionality using Python. Generate the Excel files to be merged To implement this Excel merging functionality, we need a batch of Excel files. Let’s see … Read more
In data-intensive fields such as finance, e-commerce, and human resources, at least 120 million repetitive Excel operations occur weekly. When I witnessed a CFO of a publicly listed company complete a report merge that would have taken all night with just three lines of Python code, I realized: when Excel meets Python, it’s like the … Read more
Combining Python and Excel: A Revolution in Handling Large Data Sets đź“Š Are you still struggling with lagging when processing large Excel files? When faced with data exceeding a million rows, traditional Excel operations can often be frustrating. As an efficiency coach with 10 years of data analysis experience, today I want to share a … Read more
The Advantages of Combining Python and Excel Everyone knows that Excel is very convenient for handling small amounts of data. However, when faced with tens of thousands of rows or more, traditional manual operations can be very time-consuming and prone to various errors. This is where Python comes into play—Python not only significantly reduces manual … Read more
Hello everyone! Today I want to share a C++ technology that can significantly speed up your data processing—SIMD vectorization. Imagine opening a massive Excel spreadsheet and waiting for long periods during large-scale calculations, which can be incredibly frustrating. With C++ SIMD technology, you can easily boost these calculation speeds by 4x, 8x, or even more! … Read more
Project IntroductionProject Name: Batch Filter and Consolidate ‘Wallet’ Sales Records from Excel FilesLibraries Used:os, pandasProject Overview: This example is used to filter rows where the “Product Name” column is “Wallet” from all worksheets of Excel files in a specified folder and its subfolders, and consolidate this data into a new Excel file. Additionally, each qualifying … Read more
Hello everyone! Today, I will guide you through implementing one of the most important features in Excel using C++—the cell reference system. 1. Basic Characteristics of Excel Cell References Excel cell references mainly have three characteristics: Coordinate Representation: Row and column identifiers like A1, B2 Relative/Absolute References: Mixed references like 1 or A$1 Range References: … Read more
Hello everyone! Today, I will guide you through implementing commonly used date handling functions in C++. 1. Basic Knowledge of Excel Date Functions The commonly used date functions in Excel can be categorized into three types: Extraction Functions: YEAR, MONTH, DAY, etc. Calculation Functions: DATEDIF, EDATE, etc. Conversion Functions: DATEVALUE, TEXT, etc. To implement these … Read more
Hello everyone! Today, I will guide you through implementing the powerful grouping and summarization functionality in Excel using C++. 1. Core Idea of Grouping and Summarization Functionality The grouping and summarization in Excel mainly accomplishes three tasks: Grouping: Grouping data based on the values of specified columns Summarization: Performing statistical calculations (sum, average, etc.) for … Read more
Hello everyone! Today we will discuss how to effectively use C++ exception handling in Excel data processing. 1. Why is Exception Handling Necessary? Imagine you are importing a 500MB Excel file and suddenly discover that the file is corrupted—an application without exception handling would crash directly, while one with exception handling can gracefully inform the … Read more