On 4/05/19 11:51 AM, Cameron Simpson wrote:
On 01May2019 19:22, britt...@gmail.com <britt...@gmail.com> wrote:
We have to populate a timetable with subjects. What would be the best
approach?
That's a pretty open ended question. Often a constraint on generating
timetables involves ensuring that no 2 subjects use the same timeslot if
a student might need to take both those subjects. Unless that student is
Hermoine Grainger.
Also, this looks like homework: we're happy to help, but we tend not to
write code for you. We'll suggest approaches and answer specific questions.
Create Dummy Data in Python
Deepanshu Bhalla
This article explains various ways to create dummy or random data in
Python for practice. Like R, we can create dummy data frames using
pandas and numpy packages. Most of the analysts prepare data in MS
Excel. Later they import it into Python to hone their data wrangling
skills in Python. This is not an efficient approach. The efficient
approach is to prepare random data in Python and use it later for data
manipulation.
Table of Contents
Enter Data Manually in Editor Window
Read Data from Clipboard
Entering Data into Python like SAS
Prepare Data using sequence of numeric and character values
Generate Random Data
Create Categorical Variables
Import CSV or Excel File
...
https://www.listendata.com/2019/04/create-dummy-data-in-python.html
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