Best String Super Skills you must have: REGEX

Best String Super Skills you must have: REGEX

The ultimate String Super Skills you must have: REGEX. Get out of trouble when it comes to text-string processing issues in Python with this super easy intro.

When working with data, there is always the possibility of having to deal with text. Be prepared for when the time arrives, you will be finding, processing and dealing pretty well with alphanumeric strings, with the help of a powerful friend inside Python.

I am talking about REGEX. Regex stands for Regular Expression and it describes a special sequence of characters used to search and manipulate words, digits, or other characters in text strings.

This introductory piece of content aims to give you a nice approach to the subject and to provide you with some (more) preliminary knowledge thought as essential to get you familiarized with Regex.

Because Regex is so powerful, vast, and complex, I bet you will be also sharing the same perspective that an infinite number of pythonic-possibilities open up before us. Let’s take a look at some basic commands.

To begin with, besides Pandas, let’s import the re module, unlocking everything related to Regex in python.

import pandas as pd
import re

We also need to define a text on which we will be working on some examples throughout this article.

I selected a sentence written by Mat Velloso in a very curious attempt to distinguish between Machine Learning and Artificial Intelligence, in simple terms.

regex nlp python text data-science

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

Applied Data Science with Python Certification Training Course -IgmGuru

Master Applied Data Science with Python and get noticed by the top Hiring Companies with IgmGuru's Data Science with Python Certification Program. Enroll Now

50 Data Science Jobs That Opened Just Last Week

Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.

Basic Data Types in Python | Python Web Development For Beginners

In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.

Data Science With Python | Python For Data Science | Data Science For Beginners

This Data Science with Python Tutorial will help you understand what is Data Science, basics of Python for data analysis, why learn Python, how to install Python, Python libraries for data analysis, exploratory analysis using Pandas, introduction to series and dataframe, loan prediction problem, data wrangling using Pandas, building a predictive model using Scikit-Learn and implementing logistic regression model using Python.

Tutorial: Python Regex (Regular Expressions) for Data Scientists

In this Python regex tutorial, learn how to use regular expressions and the pandas library to manage large data sets during data analysis.