Data Visualization with Python Pragmatic Eyes
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2019 by IJCTT Journal|
|Year of Publication : 2019|
|Authors : Sameer Shukla|
|DOI : 10.14445/22312803/IJCTT-V67I2P103|
MLA Style: Sameer Shukla "Data Visualization with Python Pragmatic Eyes" International Journal of Computer Trends and Technology 67.2 (2019): 12-16.
APA Style:Sameer Shukla (2019). Data Visualization with Python Pragmatic Eyes. International Journal of Computer Trends and Technology, 67(2), 12-16.
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.
 Kafka-Python: https://docs.confluent.io/4.1.2/clients/confluent-kafka-python/index.html
 Cassandra: https://docs.confluent.io/4.1.2/clients/confluent-kafka-python/index.html
 Matplotlib: https://matplotlib.org/gallery.html
 Images: https://unsplash.com
 Apache Kafka: https://kafka.apache.org/
 Pandas: https://pandas.pydata.org/
 Seaborn: https://seaborn.pydata.org/
 Bokeh: https://bokeh.pydata.org/en/latest/
Microservices, Python, Visualization, Kafka, Cassandra, Kafka-Python, Matplotlib.