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$ENV{HTTP_HOST}=inst.eecs.berkeley.edu
$ENV{SERVER_NAME}=inst.eecs.berkeley.edu

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                     University of California at Berkeley
           Department of Electrical Engineering & Computer Sciences
                         Instructional Support Group 

/share/b/pub/python.help
/share/b/pub/anaconda.help
/share/b/pub/conda.help
								   Apr 14 2023

CONTENTS
	Python on the Instructional computers
	Python on the Instructional WEB server
	CVX for Python
	Numpy and SciPy
	Anaconda
	Pycharm IDE
	Jupyter Notebook
	Boto3
	Selenium

Python on the Instructional computers
-------------------------------------
  Python is available on:

	/usr/bin/python		(Linux systems)
	/usr/bin/python3	(Linux systems)

  The versions may be different; type "python -V" to see the version.

  Python mode for Emacs (python-mode.el) is available on our MacOSX 
  systems in Applications/Aquamacs.app/Contents/Resources/lisp/aquamacs/edit-modes/python-mode/python-mode.el

  To find our computers, please see
  https://inst.eecs.berkeley.edu/connecting.html#labs


Python on the Instructional WEB serveVr
--------------------------------------
  To run Python scripts via the https://inst.eecs.berkeley.edu WEB server,
  you can run them as *.cgi programs.  The first line of your Python script 
  would be

	#!/usr/bin/python

  or 
	#!/usr/bin/python3

  For details about running CGI programs on our WEB server, please see
  https://inst.eecs.berkeley.edu/setup.html#cgi


CVX for Python
--------------
  CVX (http://www.stanford.edu/~boyd/cvx/) is a Matlab-based modeling system 
  for convex optimization that also runs via Python.  cvxmod libraries are
  installed on our Linux computers.

  To use them in Matlab, you can type (using the commands 'cvx_setup'
  and 'quickstart' for example):

	cd /share/instsww/pkg/matlab-xtra/cvx/
	cvx_setup
	cd /share/instsww/pkg/matlab-xtra/cvx/examples/
	quickstart
  or
	run /share/instsww/pkg/matlab-xtra/cvx/cvx_startup.m
	run /share/instsww/pkg/matlab-xtra/cvx/examples/quickstart.m

  Two sample scripts in Python:

	#!/usr/bin/python
	# Must run this where cvxmod libraries are installed
	from cvxmod import *
	from cvxmod.atoms import log
	A = randn(50, 8)
	b = rand(50, 1)
	x = optvar('x', 8)
	p = problem(maximize(sum(log(b - A*x))))
	p.solve()
	print value(min(b - A*x))
	printval(x)

	#!/usr/bin/python
	# Must run this where cvxmod libraries are installed
	from cvxmod import *
	from cvxmod.atoms import *
	from cvxmod.sets import *
	A = randn(10, 5)
	b = randn(10, 1)
	x = optvar('x', 5)
	p = problem(minimize(norm1(A*x - b)), [x >= -0.5])
	p.constr.append(x |In| probsimp(5))
	p.solve()
	print "Optimal problem value is %.4f." % p.value
	printval(x)


Numpy and SciPy
---------------

  NumPy is a Python library for scientific computing.  The core of the NumPy 
  package is a multidimensional array object called ndarray. 

  SciPy is a collection of mathematical algorithms and convenience functions 
  built on the Numpy extension for Python.  (see http://docs.scipy.org)

  Numpy and Scipy are installed on the Ubuntu Linux machines:

  in 
	/usr/lib/python2.7/dist-packages/numpy/
	/usr/lib/python3/dist-packages/numpy/
	
	/usr/lib/python2.7/dist-packages/scipy/
	/usr/lib/python3/dist-packages/scipy/

Anaconda
--------

  Anaconda (https://www.anaconda.com) is a Python 
  distribution for large-scale data processing, predictive analytics, 
  and scientific computing.  It includes versions of Python 2 and 
  Python 3, conda (a package and environment manager) and Jupyter 
  Notebook (a web app for creating and sharing code and documents).
  
  It is installed in
  
	/share/instsww/anaconda3 on all our Linux systems 

  Before using Anaconda, activate with UNIX bash shell command:

	source /share/instsww/anaconda3/bin/activate

	e.g. 
	conda --help
	jupyter notebook

Pycharm IDE
-----------

  PyCharm is an Integrated Development Environment (IDE) for Python, from
  https://en.wikipedia.org/wiki/JetBrains.   It is installed for all our
  Linux systems in /share/instsww/pkg/pycharm/.   Start it with 

	/share/instsww/pkg/pycharm/bin/pycharm.sh

Jupyter Notebook
----------------
  The 'jupyter-notebook' command is in /share/instsww/anaconda3/bin on our
  Linux systems. 




						EECS Instructional Support
						378/386 Cory, 333 Soda
						inst@eecs.berkeley.edu