Python RegEx | Python Regular Expressions Tutorial | Python Tutorial | Python Training | Edureka

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Below are the topics covered in this tutorial:

1. Why we use Regular Expressions?
2. What are Regular Expressions?
3. Basic Regular Expressions operations
4. E-mail verification using Regular Expressions
5. Phone number verification using Regular Expressions
6. Web scraping using Regular Expressions

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#Python #PythonRegex #Pythontutorial #Pythononlinetraining #Pythonforbeginners

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1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!
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About the Course

Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you:

1. Master the Basic and Advanced Concepts of Python
2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
3. Master the Concepts of Sequences and File operations
4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
7. Master the concepts of MapReduce in Hadoop
8. Learn to write Complex MapReduce programs
9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python
10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
11. Master the concepts of Web scraping in Python
12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience
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Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.
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Thanks for the video. Your example at 31:00 is explained incorrectly, I'm afraid it might confuse people who watch this video. You match the pattern "\d{5, 7}" to the string of numbers and explain it as "Searching for the numbers in the range 5-7 and matching to those numbers." Thats not actually what the curly-brace syntax specifies. The curly brace syntax \d{5, 7} means match ANY number character (0-9) such that there are 5 to 7 number characters in a row. You explain it as matching any number characters in the range 5-7, the fact that there were 3 matches was purely coincidence created by the fact that the strings were literally digits in order from 1 to whatever, and once the digit sequences reached a length of 5 they actually included the number 5. The fact that the sequence matched once the sequence included 5 was because the LENGTH of the sequence was 5, not because the sequence included the character 5 itself. Later on, you use the curly braces again with "\w{3}", where you explain it and use it correctly. Thanks again.

isaacway
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The most important part of video is at 11:13 to 11:52 where they have explained how regular expression work, This alone makes the understandility of the concept very easy and all the examples were well explained.(Although there was one mistake in video)
Thanks edureka for making such an amazing video

sanjeevKumar-eghp
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your voice is very convincing. The way you teach is damn good.
Thanks for your kind support

AdityaSauravadi_saurav
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Very helpful I spent hardly 2 hour of time and covered this topic completely. Thank you..!

vasanthm
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Too much helpful and incredible practical explanation ❤❤

mayanksharma
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Very nice explained. It helped me a lot.

learnwith
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nice tutorial.. but it looks like at 31:51 while explaining the regex u explained it wrongly. the numbers in the curly braces don't literally match with the numbers in the string, they only denote the length of the searched pattern. "\d[5}" will search for any 5 digit number. it wont check if the number has 5 in it. That's my understanding.

phaneshpadki
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Saludos desde Ecuador! Excelente tutorial :)

denisseadrianaorozco
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Very nice explanation. I found exactly that I want.
Thank you so much.

sushilraverkar
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Thanks for tutorials.Greetings from Serbia.

dragangosevski
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Excellent lecture, thaks for the course

naramcharitha
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Thank you so much for sharing this awesome video. Grateful to you @edureka!!

anandhin
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Great video. On spot and rich. Well done. Make more.

SSS-hmpw
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Regular expressions concepts explained very well, really helped me for the exam preparation, thanks a ton

ashishsahoo
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One of the best instructor in youtube ! Thanks a lot for this tutorial.

semicolonacademy
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Excellent Service sir really appreciate your work. Thank you so much

kevalrajpal
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Thanks for the tutorial. Also wondering if there's any tutorial for error handling in python?

yasminshaik
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the example you used "Sat, mat, pat hat", it is clear why to use r"[smph]at". but what if we have words like "skin, din, pin, spin" all these words are ending with "in" but starting is little complex. And if we want to find only "Skin" and "pin", How to do it here????

ManinderSinghSidhu