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Web services applications and data analysis programming in python

python programming services applied to web technologies and company data analysis by RasadaCrea, Grenoble - France

Raise your online productivity and sharpen business analysis with python programming

python fast programming for productive developments by RasadaCrea, Grenoble - France

There are good reasons why we decided to extensively adopt python programming for all of our web programming, SQL databases abstracted interfaces and NoSQL databases ( MongoDB, CoucheDb .. ), business data structure algorithms developments. Some of those reasons can be translated into immediate programming services, web solutions and business strategy benefits for our customers:

  • A readable, clear, concise and intuitive programming syntax favoring a productive clean programming
  • Strong introspection capabilities resulting in flexibility and control, thus productivity benefits
  • Natural object orientation and hierarchical packages easy data analysis and web projects scalability
  • Extensive standard libraries and third party modules for fast implementation of virtually every programming task, such as Python web programming or data optimization by python genetic algorithms
  • Easy extensions and modules written in C, C++ or Java for Jython, or .NET languages for IronPython

Python scripting lets you write the code you need, quickly and more than fast enough for most web applications and data structure algorithms programs, thanks to a highly optimized byte compiler and support libraries. Python implementation is open source software with a license that makes it freely usable and distributable, even for commercial use. The python license is administered by the Python Software Foundation.

Open source web programming with python for the web to manage a business strategy

>>> import math
>>> def calc(principal, int_rate, n_months):
...     normalized_int=int_rate/100.0/12
...     k=1-math.exp(-n_months*math.log(1+normalized_int))
...     print "%s: %d $, %s: %d $"
...       %("Monthly payments", principal/k*normalized_int,
...         "Total Interests", principal/k*normalized_int*n_months-principal)
>>> calc(100000, 5.0, 120)
Monthly payments: 1060 $, Total Interests: 27278 $
>>> calc(100000, 4.0, 180)
Monthly payments:  739 $, Total Interests: 33143 $