We could use what Anand talked about at Pycon India about handling the headers
in first row of a CSV.In this scenario, instead of default for result being
None and checking if None everytime, we could have the default value an empty
list.
def flat_it(values, result=list()):
for v in values:
[3, 7]], 4]
Output 1: [1, 2, 3, 7, 4]
Output 2: [1, 2, 3, 7, 4, 1, 2, 3, 7, 4]
Output 3: [1, 2, 3, 7, 4]
Thank you,
Bhargav.
On Friday, October 3, 2014 8:48 PM, Anand Chitipothu
wrote:
On Fri, Oct 3, 2014 at 8:26 PM, Bhargav Kowshik
wrote:
We could use what Anand talked ab
r ramaraju
wrote:
On Fri, Oct 3, 2014 at 9:04 PM, Bhargav Kowshik
wrote:
Nice! Thank you very much Anand.But, I still don't know what is
happening.Please point me to a resource to understand what is happening.
A common beginner mistake. More of such gotcha can be found here
htt
Hey Ramkrishna,
I have found the following book very useful.
- https://github.com/jakevdp/PythonDataScienceHandbook
Thank you,
Bhargav
On Tue, Jun 6, 2017 at 8:59 PM, Ramkrishna P
wrote:
> Hello Team,
> I have started out to work on pandas and numpy libraries to pick some
> machine learning co
