FUTURE FOR SCIENTIFIC COMPUTING USING PYTHON
DOI:
https://doi.org/10.29121/ijetmr.v2.i1.2015.28Keywords:
IPython, Matplotlib, NumPy, Python, Pandas, Scientific Computing, Sympy, SciPyAbstract
Computational science (scientific computing or scientific computation) is concerned with constructing mathematical models as well as quantitative analysis techniques and using computers to analyze as well as solve scientific problems. In practical use, it is basically the application of computer simulation as well as other forms of computation from numerical analysis and theoretical computer science to problems in different scientific disciplines. The scientific computing approach is to gain understanding, basically through the analysis of mathematical models implemented on computers. Python is frequently used for highperformance scientific applications and widely used in academia as well as scientific projects because it is easy to write and performs well. Due to its high performance nature, scientific computing in Python often utilizes external libraries like NumPy, SciPy and Matplotlib etc.
Downloads
References
Python Scientific Lecture Notes: https://scipy-lectures.github.io/
Scientific computing tools for python: http://www.scipy.org/
NumPy: http://www.numpy.org/
SciPy library: http://www.scipy.org/scipylib/
Matplotlib: http://matplotlib.org/
Pandas: http://pandas.pydata.org/
SymPy: http://www.sympy.org/en/
IPython: http://ipython.org/
Nose: https://nose.readthedocs.org/en/latest/
Chaco: http://code.enthought.com/projects/chaco/
Mayavi: http://code.enthought.com/projects/mayavi/
Cython: http://cython.org/
Scikits: http://scikits.appspot.com/scikits
h5py: http://www.h5py.org/
PyTables: http://www.pytables.org/
Downloads
Published
How to Cite
Issue
Section
License
License and Copyright Agreement
In submitting the manuscript to the journal, the authors certify that:
- They are authorized by their co-authors to enter into these arrangements.
- The work described has not been formally published before, except in the form of an abstract or as part of a published lecture, review, thesis, or overlay journal.
- That it is not under consideration for publication elsewhere.
- That its release has been approved by all the author(s) and by the responsible authorities – tacitly or explicitly – of the institutes where the work has been carried out.
- They secure the right to reproduce any material that has already been published or copyrighted elsewhere.
- They agree to the following license and copyright agreement.
Copyright
Authors who publish with International Journal of Engineering Technologies and Management Research agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors can enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or edit it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) before and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
For More info, please visit CopyRight Section
