Regular Expressions (Regex) with C# .NET Easy and Fast!

Regular Expressions (Regex) with C# .NET – Easy and Fast!, available at $79.99, has an average rating of 4, with 72 lectures, 4 quizzes, based on 119 reviews, and has 1197 subscribers.

You will learn about Pattern Detection – Look for occurrences of a pattern using a concise language Data Preparation – Locate and transform data of interest Data Validation – Validate Input and Improve Security by Preventing Injection Attacks Learn Techniques to Write High-Performance Patterns Hands-on projects This course is ideal for individuals who are System Administrators or Developers or Architects or Database Administrators It is particularly useful for System Administrators or Developers or Architects or Database Administrators.

Enroll now: Regular Expressions (Regex) with C# .NET – Easy and Fast!

Summary

Title: Regular Expressions (Regex) with C# .NET – Easy and Fast!

Price: $79.99

Average Rating: 4

Number of Lectures: 72

Number of Quizzes: 4

Number of Published Lectures: 71

Number of Published Quizzes: 4

Number of Curriculum Items: 76

Number of Published Curriculum Objects: 75

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Pattern Detection – Look for occurrences of a pattern using a concise language

Data Preparation – Locate and transform data of interest

Data Validation – Validate Input and Improve Security by Preventing Injection Attacks

Learn Techniques to Write High-Performance Patterns

Hands-on projects

Who Should Attend

System Administrators

Developers

Architects

Database Administrators

Target Audiences

System Administrators

Developers

Architects

Database Administrators

Hi, and welcome to the Regular Expressions (Regex) with C# .NET – Easy and Fast!

Regular Expression (regex) is a pattern detection language – they are typically used to search patterns in text, extract matching values, and data validation.

Regex is supported in many programming languages, including Python, C#, JavaScript, Perl, SQL, and more.

This course is designed to provide hands-on experience with regular expressions through various exercises and projects

I am Chandra Lingam, and I am your instructor.

Here are some typical uses of regular expression

Pattern Detection

Look for occurrences of a pattern using a concise language

Data Preparation

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 text file, and query the file using SQL

Input Validation

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.

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

Cloud Services

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

Curriculum

Here is a brief course outline:

In the 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

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

How to optimize the patterns and address performance issues

In .NET, there are a few different ways to interact with the regular expression class

You will gain insight into what method is appropriate for a given performance requirement

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

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Increase the speed of learning

Lecture 3: Source Code Setup

Chapter 2: .NET Regex Language

Lecture 1: Downloadable Resources

Lecture 2: Interactive Tool – Visually Observe and Build Regex

Lecture 3: Single Character Patterns

Lecture 4: Anchors

Lecture 5: Character Classes

Lecture 6: Quantifiers

Lecture 7: HTML input validation example

Lecture 8: Input Validation Example (Browser)

Lecture 9: Instructions for Quiz and Exercise

Chapter 3: .NET Regex Engine – Behind the scenes

Lecture 1: Downloadable Resources

Lecture 2: One character at a time

Lecture 3: Left to Right

Lecture 4: Lab – Left to Right

Lecture 5: Greedy, Lazy and Backtracking Analogy

Lecture 6: Greedy, Lazy and Backtracking Examples

Lecture 7: Lab – Greedy, Lazy and Backtracking

Lecture 8: Groups, Backreference, Replacement

Lecture 9: Lab – Groups, Backreference, Replacement

Lecture 10: Look Ahead

Lecture 11: Look Behind

Lecture 12: Exercise – Currency Symbol

Lecture 13: Solution – Currency Symbol

Lecture 14: Exercise – Match a number

Lecture 15: Solution – Match a number

Lecture 16: Exercise – List all cars not made by Honda

Lecture 17: Solution – List all cars not made by Honda

Lecture 18: Exercise – Webserver Log Parser

Lecture 19: Solution – Webserver Log Parser

Lecture 20: Exercise – Filter by price

Lecture 21: Solution – Filter by price

Lecture 22: Exercise – List cars that meet specified criteria

Lecture 23: Solution – List cars that meet specified criteria

Lecture 24: Exercise – Password Validation

Lecture 25: Solution – Password Validation

Chapter 4: .NET Regex Performance

Lecture 1: Downloadable Resources

Lecture 2: Exponential degradation – example of bad patterns and performance implication

Lecture 3: How to correct performance issues and optimize pattern

Lecture 4: Static, Instance, and Compiled Directive

Lecture 5: Lab – Performance Test with Static, Instance and Compiled Directive

Chapter 5: Coding with .NET Regex Class

Lecture 1: Introduction to Regex Features

Lecture 2: How to Define a Regular Expression Pattern in Code

Lecture 3: Regex IsMatch and Unit Testing

Lecture 4: Match, Matches, and Groups

Lecture 5: Find-Replace, Split

Chapter 6: Project 1 – Log Parser

Lecture 1: Log Data Parser Objective

Lecture 2: Exercise 1 – Write a pattern to capture header information

Lecture 3: Exercise 2 – Write a pattern to capture error message

Lecture 4: Exercise 3 – Write a pattern to capture metrics

Lecture 5: Solution – How to write log parser regex patterns

Lecture 6: Solution – Log Data to JSON

Chapter 7: Project 2 – IoT Sensor Data

Lecture 1: Sensor Data Parser Objective

Lecture 2: Exercise 1 – Capture Date Value

Lecture 3: Exercise 2 – Capture Temperature and Humidity Value

Lecture 4: Solution – How to write sensor data patterns

Lecture 5: Solution – Sensor Data to JSON

Chapter 8: Project 3 – Health Care Data

Lecture 1: Health care Data Parser Objective

Lecture 2: Exercise 1- Cleanup pattern

Lecture 3: Exercise 2 – Write a pattern to capture a row

Lecture 4: Exercise 3 – Write a pattern to capture a cell

Lecture 5: Solution – How to write health care data patterns

Lecture 6: Solution – Health care data to CSV

Chapter 9: Project 4 – Network Configuration Parser

Lecture 1: Network Configuration Parser

Lecture 2: Solution – Network Configuration Parser

Chapter 10: Interesting Question and Answers from the Discussion Forum

Lecture 1: How to Remove Embedded Comma Inside Double Quotes

Lecture 2: How to Extract Unit Number from Postal Address

Lecture 3: How to split text that uses comma and/or newline as separators

Chapter 11: Conclusion

Lecture 1: Bonus: SQL for Data Scientists, Data Engineers and Developers?

Lecture 2: Congratulations!

Instructors

Chandra Lingam
Compute With Cloud Inc

Rating Distribution

1 stars: 1 votes

2 stars: 1 votes

3 stars: 14 votes

4 stars: 42 votes

5 stars: 61 votes

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