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Select Topics in Python

Patrick Ester, Kevin Noelsaint, and Mohit Chandarana

This specialization is intended for people who are interested in furthering their Python skills. It is assumed that students are familiar with Python and have taken the Programming in Python: A Hands-On Tutorial.

These four courses cover a wide range of topics. Learn how to create and manage Python package. Use Jupyter notebooks to visualize data with Matplotlib. The third course focuses on the basics of the Django web framework. Finally, learn how to leverage Python for natural langauge processing.

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What's inside

Four courses

Select Topics in Python: Packaging

(0 hours)

Code and run Django websites without installing anything! This course covers modules and packages, third-party packages, and packing for distribution. It's designed for learners with some Python experience and uses a hands-on, self-paced approach with video-free modules, runnable code examples, and instant feedback.

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Select Topics in Python: Django

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Code and run Django websites without installing anything! This course is designed for learners who have some experience with Python but are new to Django. You'll learn how to set up a Django project, understand the relationship between views, templates, and URL patterns, use models and the database, style with Bootstrap, and deploy Django.

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Select Topics in Python: Matplotlib

(0 hours)

Code and run your first Python script with Matplotlib in minutes without installing anything! This course provides a crash course in Matplotlib for learners with some Python experience. You'll learn how to use Jupyter, generate graphs, and choose the best ones to represent your data. Assignments include short explanations, images, and runnable code examples with suggested edits for further exploration.

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Select Topics in Python: Natural Language Processing

(0 hours)

Code and run your first NLP program in minutes! This course is for learners with some Python experience but new to NLP. Modules cover processing and analyzing text; analyzing speech, syntax, and semantics; and building a chatbot. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further. You’ll benefit from instant feedback from a variety of assessment items along the way.

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Learning objectives

Create websites with django
Create charts and plots with matplotlib and jupyter notebooks

Create a chatbot with the nltk library

Create websites with django
Create charts and plots with matplotlib and jupyter notebooks
Create a chatbot with the nltk library

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Time

0 hours

Level

Intermediate

Via

Coursera

Institution

Codio

Instructors

Patrick Ester

Kevin Noelsaint

Mohit Chandarana

Level

Intermediate

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