A Relevant SNC Application for Data Computation using Python Programming
K Pooja1, Shailaja. S2

1K Pooja*, Department of Computer Science and Engineering, Poojya Dodappa Appa College of Engineering, Kalaburagi (Karnataka), India. 
2Dr Shailaja S, Assistant Professor, Department of Computer Science and Engineering Poojya Dodappa Appa College, Kalaburagi (Karnataka), India.
Manuscript received on September 19, 2021. | Revised Manuscript received on September 25, 2021. | Manuscript published on September 30, 2021. | PP: 231-235 | Volume-10, Issue-3, September 2021. | Retrieval Number: 100.1/ijrte.C64820910321 | DOI: 10.35940/ijrte.C6482.0910321
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Multiple applications of cloud servicing can be seen in the field of logical programming as well as IT industries. Complex computations over local machines may demand for plenty of system resources thereby delaying the data processing operations. In order to achieve speed in processing one must opt for cloud computing techniques. Extensive maneuver of cloud services is desirable for scientific computation of user data and application. This will require a platform designed in a way to meet the specific requirements of individual users, providing an ease for moving their data and applications over different devices. Symbolic-Numeric Computation using cloud service platform is presented in the paper. In this approach user tasks are presented in the form of symbolic expressions using languages like Java, C/C++, APIs etc. Proposed work employs Python programming for carrying out compilation process.
Keywords: Python, Cloud computing, SNC, Tensor Flow, SVM.