zlib-1.2.7 | 1 hard-link
Proceed ([y]/n)?
When you type y to confirm the creation, conda will do as proposed (i.e., downloading,
extracting, and linking the packages):
***UPDATE**
Fetching packages ...
anaconda-1.9.2-np18py33_0.tar.bz2 100% |##########| Time: 0:00:00 173.62 kB/s
...
xlsxwriter-0.5.2-py33_0.tar.bz2 100% |############| Time: 0:00:01 131.32 kB/s
Extracting packages ...
[ COMPLETE ] |##########################| 100%
Linking packages ...
[ COMPLETE ] |##########################| 100%
#
# To activate this environment, use:
# $ source activate py33test
#
# To deactivate this environment, use:
# $ source deactivate
#
Now activate the new environment as advised by conda:
$ source activate py33test
discarding /Library/anaconda/bin from PATH
prepending /Library/anaconda/envs/py33test/bin to PATH
(py33test)$ python
Python 3.3.4 |Anaconda 1.9.2 (x86_64)| (default, Feb 10 2014, 17:56:29)
[GCC 4.0.1 (Apple Inc. build 5493)] on darwin
Type “help”, “copyright”, “credits” or “license” for more information.
>>> print “Hello Python 3.3” # this shouldn’t work with Python 3.3
File “<stdin>”, line 1
print “Hello Python 3.3” # this shouldn’t work with Python 3.3
^
SyntaxError: invalid syntax
>>> print (“Hello Python 3.3”) # this syntax should work
Hello Python 3.3
>>> exit()
$
Obviously, we indeed are now in the Python 3.3 world, which you can judge from the
Python version number displayed and the fact that you need parentheses for the print
statement to work correctly.
[ 8 ]
MULTIPLE PYTHON ENVIRONMENTS
With the conda package manager you can install and use multiple separated Python environments on a single
machine. This, among other features, simplifies testing of Python code for compatibility with different Python
versions.
Single libraries and packages can be installed using the conda install command, either
in the general Anaconda installation:
$ conda install scipy
or for a specific environment, as in:
$ conda install -n py33test scipy
Here, py33test is the environment we created before. Similarly, you can update single
packages easily:
$ conda update pandas
The packages to download and link depend on the respective version of the package that is
installed. These can be very few to numerous, e.g., when a package has a number of
