Pattern Detection with Python Regular Expressions (Regex) Download
Hands-On : Detect Patterns in Data, Verify Input, Improve Security, Data Cleanup
What you’ll learn
- Pattern Detection – Look for occurrences of a pattern using a concise language
- Data Preparation – Use regex to locate and transform data of interest
- Input Validation – Cross-Check Input and Improve Security by Preventing Injection Attacks
- Learn Techniques to Write High-Performance Patterns
- Complements Machine Learning Skills
- Hands-on projects
- Familiarity with Python
Hi, and welcome to the Pattern Detection with Python Regular Expressions (Regex) Course!
This is a project driven course and in just a couple of hours, you will gain precise and relevant information that you can immediately apply to your projects
I am Chandra Lingam, and I am your instructor.
Here are some typical uses of regular expression
Look for occurrences of a pattern using a concise language
Data clean-up and preparation is often one of the most time-consuming activities
You can define the structure of data as a regex pattern and parse data
One good application of this is AWS Glue and Athena.
You can use regex to define the structure of a record in a plain text file, Create a table and query the file using SQL
You can implement a client-side check for input validation
For example, your app can guide the user to provide data in the correct format using regex.
As part of the zero-trust architecture, you need to validate input to your microservice
With regex, you can verify and validate data payloads in your service
Several cloud services use regex for advanced configuration.
With the AWS web application firewall, you can allow or deny traffic based on a regex pattern
In Google Workspace, you can use regex for content filtering, Gmail route configuration, and to search for content in google docs
In Google Analytics, you can use regex to locate and transform matching data in your data set
Regex is also supported by several products such as SAP, Oracle, and SQL Server
The source code for this course is distributed using Github – so, you always have access to up-to-date code
As part of resources, you will get this high-quality cheat-sheet for regex language
And an interactive regex tool to write patterns
In the Python Regex features section, you will get familiar with various regex methods, their purpose, and how to unit test your pattern
In the regex language section, you will learn how to write patterns – starting from the simplest of patterns
You will also learn to incorporate regex in your HTML input types for validation
Regex engine puts the onus on the developers, that is us, to write efficient patterns
In this section, you will gain knowledge of regular expression engine that will help you write optimal patterns
There are several exercises for you to apply your new skills
We then look at performance and how poorly written patterns can degrade exponentially
You will learn how to optimize the patterns and address performance issues
There are four hands-on projects in this course
You will learn how to apply the regex for distinctly different data sets – unstructured log data, IoT sensor data, and parsing medical test data in HTML format
You will get prompt support through the course Q&A forum and private messaging.
I am looking forward to meeting you
Cloud Wave LLC
Who this course is for:
- Data Scientists
- System Administrators
- Data Analysts