On Tuesday, September 13, 2016, Mills, Ryan <ryan.mi...@texascapitalbank.com>
wrote:
> I just recently downloaded Python 3.5 and cannot seem to install any
> packages like Numpy, etc. I have tried all the instructions on the website
> and keep getting errors:
>
>
>
> For example, when I type “python –m pip install Numpy” it returns a
> Syntax Error. I am completely new to Python so I must be missing something
> here – I haven’t altered any files since installing it the other day. Do I
> use the Python IDLE Shell? Are there other packages I need to install
> first? Any help would be greatly appreciated.
>
Shell commands can/could/should be clearly indicated with a '$' prefix:
$ python -m pip install numpy
Python expressions are sometimes prefixed with '>>>':
>>> import numpy as np
TBH, as a beginner, it's probably way easier to start with Anaconda (conda
packages) and pip (python packages) (because there are a number of
libraries required to build numpy and then whatever else):
- https://docs.continuum.io/anaconda/
- $ conda install pip; python -m pip install
- $ which python; python -m site
The software carpentry lessons are a good place to start from:
- http://software-carpentry.org/lessons/
- http://swcarpentry.github.io/python-novice-inflammation/
Also great resources:
- http://www.scipy-lectures.org
- https://github.com/jrjohansson/scientific-python-lectures
(IPython/Jupyter nb)
- https://westurner.org/wiki/awesome-python-testing#python
- https://westurner.org/tools/#python
- http://learnxinyminutes.com/docs/python/
- http://docs.python.org/2/library/unittest.html
- https://westurner.org/tools/#numpy
- IDLE is pretty cool.
- IPython is great.
- Jupyter Notebook is a reverse shell.
- Spyder ($ conda install spyder)
- [commercial IDE preference]
- If you write tests from the start, there's less run/check/run/check
manual testing and more test coverage.
>
> -Ryan
>
>
>
> Ryan Mills
>
> *Quantitative Risk Analyst, Banking Officer*
>
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