Course Information
Course Overview
Django Web Development with Python and Spacy
Welcome to the "Python Django Web Development of NLP App" course!
This is a project based course.In this course we will use the Django web framework coupled with Python programming language and Spacy library for Natural Language Processing in order to create a web NLP app.
The web NLP app that we'll create has 4 distinct functionalities:
1.Performs regex on US Phone Numbers
2.Performs lemmatization on text
3.Performs part of speech tagging on text
4.Performs named entity recognition on text
In this course you will learn how to:
-Install,create and activate virtual environment
-Create Django project and Django app
-Integrate Python and Spacy with Django in order to perform regex,lemmatization,part of speech tagging and named entity recognition
-Create templates and extend templates in Django
-Basic styling for the front-end using Bootstrap in Django
and much more...
Because this is a project based course you will get a real hands on experience building a real web app.
And that is the best way to learn fast.
I hope that you will enjoy the course and learn a lot.
See you in class!
Course Content
- 6 section(s)
- 13 lecture(s)
- Section 1 Introduction
- Section 2 Installation and creating Django project and Django app
- Section 3 Installing Sublime,project settings and project and app urls,creating templates
- Section 4 Create basic functions,create base.html and home.html,extending template
- Section 5 Functions in views.py
- Section 6 Templates
What You’ll Learn
- How to install,create and activate virtual environment, How to create a project in Django, How to create an app in Django, How to combine Spacy and Python for NLP in Django, How to perform regex in Django, How to perform lemmatization in Django, How to perform part of speech tagging in Django, How to perform named entity recognition in Django, How to create and extend templates in Django, Basic front-end styling using Bootstrap in Django
Skills covered in this course
Reviews
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AAmanda Capella
The sound is pretty spotty and the lecturer's voice is softer. So it's hard to hear. Then there are profoundly long gaps of silence while waiting for things to install. I'm also a mac user, so the commands weren't applicable, I had to go find them elsewhere.
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RRadouane El Berrak
I have background in Python, NLP, and little Django. I wanted a quick UI solution. This course delivered!!
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SShah Rukh
If could have provided the source code. It would be great.
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AAlan Morato
Great course. I learned a lot from the content presented. Thanks for the author.