Tag: Desktop

The functions that calculate every member in the set and traverse the set to get a new result are generally called the loop function. The native loop functions of “list” in Python are too few, and the “for” statement should be used for those slightly complex loops, so instead of introducing them in this article, we’ll focus on comparing the loop functions in Pandas and SPL.

A sequence consists of objects (or events) that are arranged in line, in this way, each element is either in front of or behind another element. Therefore, the order of the elements is quite important.

Python and esProc SPL are both very good programming languages for analyzing and processing data, and some people may be familiar with only one of them. In order to facilitate you to further understand these two languages and choose a more suitable programming language for yourselves, here we provide a series of articles comparing the advantages and disadvantages of these two languages in various aspects.

In data analysis, it is inevitable to encounter large data files that cannot be loaded in memory. How to query and calculate large files? This paper analyzes and compares the advantages and disadvantages of several common methods, esProc SPL is the most suitable script for data analysts to process large files.Go to Looking for suitable tools for querying and calculating large files for more infomation.

Data analysts often turn to add-ins when they encounter complicated computations in Excel. Here we examine and compare some common add-ins in terms of deployment process, development efficiency, application fluidity and, particularly, computational capabilities. esProc SPL shows more excellent performance than others. Looking Looking for the Best Excel Add-ins for details.

A lightweight desktop script tool is a must-have for data analysts. But how do you know which is the most suitable one? Let me walk you through four top script tools to experience and compare their usability, dev efficiency, types of supported data sources, functions for performing structured computations, and, particularly, algorithm implementation performances to find the best one. And esProc SPL is the winner. Looking for the Best Lightweight Data Analysis Script Tools for details。

SQL is arguably the most commonly used programming language in the field of data processing and analysis, and many people who want to enter this field but know little about it all ask this question. However, it’s probably a pointless question. Why? Let me tell you the reason. Those who ask this question should ask themselves first: what’s my purpose of learning SQL? Well, I suppose most of them will answer this way: I hope I can code SQL statement so as to work in the field of data analysis after learning! Obviously, this is a very common purpose, but

Programming is already somewhat hot at present, and it is common to see some people asking how to learn programming on the Internet. Undoubtedly, such people have little experience in programming, even many of them know nothing about it. To find out a correct method to learn programming, you have to ask yourself the questions first: why should I learn programming? What’s my learning purpose? The reason is very simple, there are various programming languages, and the programming knowledge is so rich and wide that it is impossible for even professionals to know everything. Therefore, you should choose a language

Business people are used to performing data analysis with Excel. They also got used to the numerous frustrating or desperate situations when they are stuck on complicated calculations, repeated calculations and automated processing, and to add fuel to the flame, when system crash happens at this time but work hasn’t been saved. Now they know that they don’t have to bear these situations anymore if they learn to use a programming language. But which programming language they should choose? Python is your best choice! They are fed by computer programming companies and huge amounts of network information. The language produces