Acodemy - Python: Learn Python Regular Expressions FAST! : The Ultimate Crash Course to Learning the Basics of Python Regular Expressions In No Time

Regular expressions gained fame in the late 1960s. The maiden appearances of Res in programming can be credited to develop Kleene's notation into the Quick Editor as a way to for matching various patterns in several text files. For speed, the implementation of regular expression was performed by using JIT to IBM 7094 code on the Compatible Time-Sharing System. Ken Thompson.

A comparatively more complex Res came into picture in Perl in the late 1980s. They were actually derived from a regex library. In the present scenario, Res are largely backed in text processing programs, programming languages and various other programs. Re back is an element of the standardized library of various programming languages which comprise Python, etc. and is created into the syntax of others which comprise Perl and ECMA Script. Employments of Re functionality are mostly known as a regular expression engine, and various libraries are there for reuse.

Res are universal. They are present in the most novice Javascript framework and can also be traced in the UNIX tools of the 1970s. Any modern programming language is incomplete if it does not back Res.

Though they are found in various languages, they are not found in the toolkit of the current coders. The difficult learning curve offered by them can be one of the causes of this. Being an expert in Res is not so easy and they are very complicated to read when not written appropriately.

Once you read this book, you will be able to learn the most competent practices while composing regular expressions to ease the reading procedure. Though Res are present in the newest and the most effective programming languages presently, their history can be traced back to 1943 when a logical calculus of the concepts existing in nervous activity was released by Warren McCulloch and Walter Pitts. This research was actually the starting point of the regular expressions and offered the maiden mathematical model of a neural network. In the year 1968, a renowned contributor of computer science (Ken Thompson) considered the findings of Kleene and further expanded it, publishing his works in the Regular Expression Search Algorithm titled paper. His contributions were not limited by just a single paper. He encompassed support for these Res in his version of Quick Editor.

Other remarkable milestones worth mentioning here are the issue of the maiden non-proprietary library of regex by Henry Spence and after that, the development of the Perl by famous computer science contributor, Larry Wall. The implementation in Perl was taken to another step and contributed a number of modifications to the actual RE syntax thereby making the famous Perl flavor. A number of the implementations that followed in other languages or tools are depended on the Perl flavor of Re.