The Python programming language.
A comprehensive example showing how to use the Python client with a service account to access Google Drive API v3
Service account credentials with the Python client for the Google Drive API (v3) Read More »
Danny Price recently left a comment to let me know about a new Python package he’s developing called hickle. The goal of “hickle” is to create a module that works like Python’s pickle module but stores its data in the HDF5 binary file format. This is a promising approach, because I advocate storing binary data
pickle, hickle and HDF5 Read More »
Since Python is widely used as a high-productivity language for scientific computing, Intel has created a page showing how to build NumPy with Intel compilers and the Math Kernel Library (MKL). I would like to clarify a few items regarding building NumPy on a 64-bit Red Hat Enterprise Linux 5.4 system. Since this is a
Building NumPy and SciPy with Intel Composer 2013 and the MKL Read More »
I’ve added a Python 3 XML example to my Shocksolution_Examples repo on GitHub. The new example shows how to generate an XML file which functions as a template for building a GUI with wxGlade. However, this example should be helpful for anyone who needs to create XML files with Python. The full example is on
Tricks for Writing XML with Python 3 Read More »
This is a follow-up to my earlier post about building NumPy with Intel compilers and the Intel MKL on CentOS 5. I will now explain how to build SciPy (which requires NumPy). First, download and unpack the SciPy source tarball. The following command can be used to build SciPy: LDFLAGS=”” FFLAGS=”-fPIC -openmp” python2.7 setup.py build
Building SciPy with Intel compilers and MKL on 64bit RHEL 5 Read More »
In a previous post I described how to build an optimized version of NumPy using the Intel compilers and Math Kernel Library (MKL). This post will update those instructions, since it has been a few years and I am now using NumPy 1.6.1, MKL 10.0.1.014 and Red Hat 4.1.1 (kernel 2.6.18-8.el5). First, copy the file
Building NumPy on a 64-bit Red Hat Cluster with Intel MKL Read More »
The format method for Python strings (introduced in 2.6) is very flexible and powerful. It’s also easy to use, but the documentation is not very clear. It all makes sense with a few examples. I’ll add more as I have time: Formatting Numbers in Python Strings Formatting a floating-point number The result is the following
Python string format examples Read More »
EDIT: added –enable-shared to configure script for building Python, and added /home/yourname/lib to shared library path. This is necessary for building some packages such as pycairo (which you may need to build pygtk and matplotlib). EDIT 2: you should use the –prefix=/home/yourusername instead of –user. The prefix option places packages in the standard location: /home/yourusername/lib/python2.7/site-packages.
How to build ScipPy with Python 2.7.2 on CentOS5 Read More »
Sometimes, the frame around a matplotlib plot can detract from the information you are trying to convey. How do you remove the frame, ticks, or axes from a matplotlib plot? Some books you may find useful when working with matplotlib: The full example is available on github.
Removing an axis or both axes from a matplotlib plot Read More »
Get the code for this example The zip function in Python accepts a number of sequences (such as lists or arrays) and returns a list of tuples. The first element of each tuple comes from the first sequence, the second from the second sequence, and so on. For example: [(0, 5, 10), (1, 6, 11),
Python: lists to tuples and tuples to lists Read More »