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2020 Python Regular Expressions (Regex) with Projects
Разное | Автор: LeeAndro | Добавлено: 16-10-2020, 07:52 | Просмотров (7) | Комментариев (0) | Жалоба |
2020 Python Regular Expressions (Regex) with Projects
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 1.44 GB | Duration: 3.5 hours

All material and software instructions are covered in house keeping lecture.


What you'll learn

Regular expression as a powerful data cleanup tool

Gain practical tips with hands-on projects

Understand potential performance issues and techniques to address them

Complements Machine Learning Skills

Requirements

Familiarity with a Programming Language

Description

*** UPDATE: OCT-2020. Five new assignments on lookahead, lookbehind and more ***

*** UPDATE: SEP-2020. New interactive coding videos, updated tools and practical tips on using regex for complex problems ***

*** UPDATE: NOV-2019. Subtitle/Closed Caption is now available for the course! I spent several hours cleaning up the closed caption text to provide you with high quality closed caption.***

Welcome to Python Regular Expressions Course!

In just a couple of hours, you will master regular expression language and learn internals of the regular expression ee

You will apply your new skills with four hands-on real-world projects

You will gain solid understanding on type of performance issues regex can run into, and techniques to address them

As part of resources in this course, you will get a high-quality quick reference guide, an interactive tool, all the source code and able slides

Why Learn Regular Expressions?

Very often, the data that we need is not readily accessible or useful.

Data preparation and clean-up is often one of the most -consuming activities in a software automation project.

Instead of spending writing code for all this, you can specify data patterns of interest and let regular expression ee do the work for you

Regular Expression is cross-platform and you can learn the concepts once and use it in multiple programming languages and environment

Looking forward to seeing you in the course!

God Speed!

Who this course is for:

Data Scientists, Software Eeers and Developers



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