Django with Data Science
What you'll learn
- Integration of Django and Python data science libraries: Pandas, Matplotlib, Seaborn, Numpy
- Basics of data science
- Populate the database from CSV files
- Function views
- Semantic UI Framework
- Django forms & model forms
Course content
- Preview01:53
- Preview07:26
- 12:10Setting up the django project part 2
- 00:01Source code
- 00:03Course files
- Preview06:21
- 10:05Creating another model
- 28:12Creating our first view (with pandas data frame)
- 05:08Merging two dataframes
- 06:46Adding static files
- 13:12Creating chart selection form
- 03:17Adding js to the form
- 05:11Sending the data to the view
- 08:13Displaying error message
- 02:43Adding objects
- 05:57Working with the date
- 04:37Performing group by
- 06:21Adding additional logic to the view
- 10:36Chart function part 1
- 03:23Chart function part 2
- 08:38Chart function part 3
- 07:26Displaying the chart
- 02:51Styling the error message
- 02:50Closing the error message
- 12:09Creating modal with price statistics
- 04:11Adding styling
- 03:59Applying a fix to the chart & button creation
- 04:14Creating purchase view
- 07:18Creating django model form
- 05:47Finishing django model form
- 02:33Testing the model form
- 04:16Adding send confirmation
- 02:25Navigation to the purchase view
- 03:48Remarks on the chart view
- 07:33Adding navbar
- 06:14Creating the Csv model
- 07:05Setting up the upload view
- 02:47Creating the django form for file upload
- 02:10Reseting the database
- 03:07Chart view fix
- 01:36Exploring the csv file - sales data
- 04:23Saving csv file via form
- 05:23Opening the csv file - sales data
- 04:24Transforming rows of the csv file - sales data
- 12:51Populating the database from csv file - sales data
- 04:29Creating customers app and model
- 08:10Creating customer view
- 04:14Setting up customer view
- 04:00Finishing the customer view
- 08:38Working on the sales view part 1
- 08:04Working on the sales view part 2
- 02:49Styling the graphs
- 02:49Styling the graphs
- 08:42Creating the home view
- 05:18Creating login form and login view
- 08:10Working on the login
- 05:06Continue working on the login
- 07:32Final touches for the login
- 02:59logout view
- 02:03Outro
Requirements
- Basic knowledge of html and python strongly recommended but not mandatory
Description
Create professional and nicely looking User Interface in Django for Data Science with the use of Semantic UI framework. Understand the core concepts behind Pandas, Numpy, Matplotlib & Seaborn in order to create custom analytic tool i the browser for people who don't know anything about programming. This unique course will introduce new concepts step by step and at the end the Student will have a very interesting position in the portfolio.
Who this course is for:
- Beginner Python Developers
Instructor
![Django Ninjas](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.2 Instructor Rating
- 220 Reviews
- 23,948 Students
- 5 Courses
We are providing online educational courses mainly about python / django by the community of web developers across the globe. Our classes are project based only, that means our methodology is based on "teaching by doing". Discover with us: python, django, react js, javascript, machine / deep learning with python and much more!