Hi,
After watching a talk from PyCon Australia, which I came about through the
blog
by Krace, I was thinking about the problem of funding free and open source
software. I highly encourage you to watch it too:
https://www.youtube.com/watch?v=mY8B2lXIu6g
By a recent mandate of Government of India,
You might look at the SciPy 2015 and 2016 videos on Jupyter Hub and Jupyter Lab
https://www.youtube.com/watch?v=OuhtpxGuboY
https://www.youtube.com/watch?v=Ejh0ftSjk6g
On 4 August 2016 at 20:36, Chillar Anand wrote:
> When you start a notebook from a system, only you will be able to access it.
Many of the scientific libraries including Ipython have declared that
they will drop support for Python 3 by 2020, Nikola the statics
blogging library will be dropping Python 2 support in their next major
release [2]. Personally I feel Python 3 is a cleaner language as it
prevents variables leaking
I collected some ML resources for inter hostel data analytic competition
here https://github.com/Azad-Hall/data-analytics
Other the Andrew ng's course, Caltech's "Learning from Data" (
http://work.caltech.edu/telecourse.html) course is really good for the
theoretical foundations of ML>
On 6 June
If you are want download a lot of packages and can't do pip install, you
can try creating a local mirror of PyPI. You can use the following tools
for that:
* Bandersnatch https://bitbucket.org/pypa/bandersnatch
* DevPi http://doc.devpi.net/latest/
On 7 June 2017 at 18:53, Rajvi Dhimar wrote:
>
