Points to add

[Sarah Masud]

1. Zip and argument packing
2. Conditions
3. Random value generation
4. Concept of generators and lazy range
5. kwargs
6. Regex
7. Classes and main method.
8. Try-catch; exception handling.

[Nikhil Mittal]

We can add these too :
9. Reading nd writing json files.
10. Converting one Data-structure to another (For example : creating a set of value in dictionary etc.)'

[Antriksh Agarwal]

Also add some numpy methods like:
array()
ndarray()
matrix()
add/subtract/divide/multiply etc.

[Zishan Ahmad]

Do you expect them to study all this by themselves?
I think it's better if we have a session on this.. Nikhil can be our guest lecturer.

On 5 Mar 2016 8:34 a.m., Antriksh Agarwal [e-mail] wrote:

Also add some numpy methods like:
array()
ndarray()
matrix()
add/subtract/divide/multiply etc.

—
Reply to this email directly or view it on GitHubhttps://github.com//issues/2#issuecomment-192556730.

[Antriksh Agarwal]

No, session on this is useless, they only need to know a few functions/methods most used, might tell them that directly, but no use of wasting a session on this.

[Zishan Ahmad]

Then take a test. Because no one will read this on their own.

On 5 Mar 2016 9:29 a.m., Antriksh Agarwal [e-mail] wrote:

No, session on this is useless, they only need to know a few functions/methods most used, might tell them that directly, but no use of wasting a session on this.

—
Reply to this email directly or view it on GitHubhttps://github.com//issues/2#issuecomment-192565384.

[Sarah Masud]

We can have test for the basic Python, covering the points in the readme plus the ones listed by me and @nickedes. For numpy we can have a session during break. We cannot expect them to cover up so much on their own.

[Antriksh Agarwal]

Or maybe just mark on the assignment, because the assignment uses both python and numpy and pandas as well.