The Python Papers Anthology
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Python for Education: Permutations
Get PDFPython implementation of permutations is presented. Two classes are introduced: Perm for permutations and Group for permutation groups. The class Perm is based on Python dictionaries and utilize cycle notation. The methods of calculation for the perm order, parity, ranking and unranking are given. A random permutation generation is also shown. The class Group is very simple and it is also based on dictionaries. It is mainly the presentation of the permutation groups interface with methods for the group order, subgroups (normalizer, centralizer, center, stabilizer), orbits, and several tests. The corresponding Python code is contained in the modules perms and groups
Python in a Physics Lab
Get PDFPhysics laboratories rely on computing in all aspects of their research, and usually mix and match many different software tools. Python can serve well in all stages of the scientific work, and provide benefits for professors and students in the long term
A Python Module for FITS Files with full C Level Programming Functionality
Get PDFA Python module for manipulating files in the FITS format is described. The module was constructed using the capabilites of ctypes to dynamically create foreign function interfaces from a C library. Here this was used to import the CFITSIO library into Python. I describe how this module can be used to call the functions from the C library in their near native form, and how one to manipulate FITS files in a style that Python programmers are accustomed. The ctypes and ctypeslib modules allows one to import all routines and data structures from the C library and avoids the need to manually write language bindings for each routine. Moreover, these modules allow the Python programmer to enjoy the full functionality of the the underlying C library
NotaLogger: Notarization Code Generator and Logging Service
Get PDFThe act of affixing a signature and date to a document, known as notarization, is often used as evidence for sighting or bearing witness to any documents in question. Notarization and dating are required to render documents admissible in the court of law. However, the weakest link in the process of notarization is the notary; that is, the person dating and affixing his/her signature. A number of legal cases had shown instances of false dating and falsification of signatures. In this study, NotaLogger is proposed, which can be used to generate a notarization code to be appended to the document to be notarized. During notarization code generation, the user can include relevant information to identify the document to be notarized and the date and time of code generation will be logged into the system. Generated and used notarization code can be verified by searching in NotaLogger, and such search will result in date time stamping by a Network Time Protocol server. As a result, NotaLogger can be used as an independent witness to any notarizations. NotaLogger can be accessed at http://mauricelab.pythonanywhere.com/notalogger/
COPADS III (Compendium of Distributions II): Cauchy, Cosine, Exponential, Hypergeometric, Logarithmic, Semicircular, Triangular, and Weibull
Get PDFThis manuscript illustrates the implementation and testing of eight statistical distributions, namely Cauchy, Cosine, Exponential, Hypergeometric, Logarithmic, Semicircular, Triangular, and Weibull distribution, where each distribution consists of three common functions Probability Density Function (PDF), Cumulative Density Function (CDF) and the inverse of CDF (inverseCDF). These codes had been incorporated into COPADS codebase (https://github.com/copads/ copads) are licensed under Lesser General Public Licence version 3
PyCon Singapore 2013
Get PDFPython Conference (PyCon) is a series of community-based conference where Pythonistas gathers and exchange updates and experience on various topics related to Python programming language. Singapore has been hosting PyCon APAC, PyCon to represent the region until 2012 when Singapore handed over to Tokyo the 2013 event
