International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 67 | Issue 2 | Year 2019 | Article Id. IJCTT-V67I2P103 | DOI : https://doi.org/10.14445/22312803/IJCTT-V67I2P103

Data Visualization with Python Pragmatic Eyes

Sameer Shukla

Citation :

Sameer Shukla, "Data Visualization with Python Pragmatic Eyes," International Journal of Computer Trends and Technology (IJCTT), vol. 67, no. 2, pp. 12-16, 2019. Crossref, https://doi.org/10.14445/22312803/ IJCTT-V67I2P103

Abstract

Data Visualization helps in understanding the data significance to both technical and non-technical people. As we know that data volume in today’s scenario is huge in Petabytes, to support such huge data volume architectures are quite different as compared to before and distributed systems are playing an important role. This paper focuses on adapting Visualization techniques in every phase of Software Development Process, which can be built using Python and some of the graphical libraries like Matplotlib, Seaborn and using this we can find problems in our data model or event design.

Keywords

Microservices, Python, Visualization, Kafka, Cassandra, Kafka-Python, Matplotlib.

References

[1] Kafka-Python: https://docs.confluent.io/4.1.2/clients/confluent-kafka-python/index.html
[2] Cassandra: https://docs.confluent.io/4.1.2/clients/confluent-kafka-python/index.html
[3] Matplotlib: https://matplotlib.org/gallery.html
[4] Images: https://unsplash.com
[5] Apache Kafka: https://kafka.apache.org/
[6] Pandas: https://pandas.pydata.org/
[7] Seaborn: https://seaborn.pydata.org/
[8] Bokeh: https://bokeh.pydata.org/en/latest/