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+--- Thread: Packt Hands on Python Regular Expressions (/Thread-packt-hands-on-python-regular-expressions--32673)
Packt Hands on Python Regular Expressions - aretr - 09-11-2019
![[Image: iwlprK7.png]](https://i.imgur.com/iwlprK7.png)
Packt - Hands on Python Regular Expressions-JGTiSO
English | Size: 361.33 MB
Category: CBTs
Learn
Master the use of regexes in Python
Master hands-on regex concepts such as anchors, quantifiers, character classes, captures, and more
Use Python functions to replace text content via regular expression patterns.
Learn Python functions such as search, findall, split, sub, and match
Search, edit, and manipulate text with the power of regexes in Python
About
Do you fear regular expressions (regexes)? Do you need to ace the next interview where you will be asked about the advanced usage of regexes? Then you need this course! Regexes are a very powerful tool when you need to deal with textual data. Python offers all the advanced features of regexes such as look-arounds, quantifiers, and commenting your regexes to help your colleagues.
In this course, you will learn how to apply regexes in your daily programming tasks in Python. This technique is used daily in programming projects such as web development, machine learning, big data, and cloud computing. This course will walk you through regexes while cleaning your dataset in your next big data project; you'll handle data validation or capture chunks of useful information from text.
By the end of the course, you will have a better understanding of all Python functions and will be able to apply regex concepts to real-life programming situations.
All the code and supporting files for this course are available on GitHub at:
[url=https://github.com/PacktPublishing/Hands-On-Python-Regular-Expressions]https://github.com/PacktPublishing/Hands-On-Python-Regular-Expressions
Features
Take a whirlwind tour of Python and Flask
Become an expert in utilizing Python regexes in your daily programming projects
Understand that regexes are used wherever you need to handle text data-for example, in cleaning and preparing data in a typical big-data project
DOWNLOAD
Code:
http://nitroflare.com/view/CF5266026EACD2A/v3x5h.Packt..Hands.on.Python.Regular.Expressions.rarCode:
https://rapidgator.net/file/e5068e29b8650b7c20542933a71ae467/v3x5h.Packt..Hands.on.Python.Regular.Expressions.rar