Django with Data Science
Learn how to integrate Django with Pandas, Numpy, Matplotlib, Seaborn
- Description
- Curriculum
- FAQ
- Reviews
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.
Python data science libraries [OPTIONAL]
-
1
How to get visual studio code and anaconda -
2
Setting up the django project part 1
-
3
Setting up the django project part 2
-
4
Source code -
5
Course files
-
6
Creating the first model
-
7
Creating another model
-
8
Creating our first view (with pandas data frame)
-
9
Merging two dataframes
-
10
Adding static files
-
11
Creating chart selection form
-
12
Adding js to the form
-
13
Sending the data to the view
-
14
Displaying error message
-
15
Adding objects
-
16
Working with the date
-
17
Performing group by
-
18
Adding additional logic to the view
-
19
Chart function part 1
-
20
Chart function part 2
-
21
Chart function part 3
-
22
Displaying the chart
-
23
Styling the error message
-
24
Closing the error message
-
25
Creating modal with price statistics
-
26
Adding styling
-
27
Applying a fix to the chart & button creation
-
28
Creating purchase view
-
29
Creating django model form
-
30
Finishing django model form
-
31
Testing the model form
-
32
Adding send confirmation
-
33
Navigation to the purchase view
-
34
Remarks on the chart view
-
35
Adding navbar
-
36
Creating the Csv model
-
37
Setting up the upload view
-
38
Creating the django form for file upload
-
39
Reseting the database
-
40
Chart view fix
-
41
Exploring the csv file - sales data
-
42
Saving csv file via form
-
43
Opening the csv file - sales data
-
44
Transforming rows of the csv file - sales data
-
45
Populating the database from csv file - sales data
-
46
Creating customers app and model
-
47
Creating customer view
-
48
Setting up customer view
-
49
Finishing the customer view
-
50
Working on the sales view part 1
-
51
Working on the sales view part 2
-
52
Styling the graphs
-
53
Styling the graphs
-
54
Creating the home view
-
55
Creating login form and login view
-
56
Working on the login
-
57
Continue working on the login
-
58
Final touches for the login
-
59
logout view
-
60
Outro
Field types in django [OPTIONAL]
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Stars 5
13
Stars 4
4
Stars 3
3
Stars 2
3
Stars 1
0
Course details
Lectures
3
Quizzes
3
Video
7 hours
Certificate of Completion
Full lifetime access
Access on mobile and TV
Popular courses
