Leading Python technologies with use cases

Python is an open-source programming language used across the globe by software and data engineers. Many of the leading technologies employed for technology services such as software development and data engineering are built using Python.

Here we will look at some of the key python technologies the Ardent software and engineering employ for our client projects on a regular basis with use cases.

Programming languages

Python is most commonly used as a programming language of choice as it is incredibly versatile and can be used for multiple purposes ranging from machine learning to data analysis to building websites. We currently employ the following versions of Python to deliver excellence to our clients:

• Python 2.x
• Python 3.x

Usecase: Python was the programming language of choice to build an intelligent platform to automate information security for a global market research company. Read our client's success story on how the tool is helping our client protect content for the biggest brands in entertainment. 

Usecase: Reporting automation for a market research company looking to provide data insights quickly and easily to their end clients.

Usecase: Building a 10 TB data lake for survey and near-real-time social media data with Python.

Usecase: Managing and optimising 4 petabytes of client data to help a leading electronics brand revolutionise the future of Television.

Frameworks

• Django
• Django REST framework
• Flask

Data Analysis

• Matplotlib
• NumPy
• Pandas

Workflow management:

• Apache Airflow
• MWAA

Virtualization:

• Docker

Databases:

• PostgreSQL
• MySQL
• DynamoDB

Usecase: Read a client success story on Dynamo DB being used as the database technology in the effort to optimise big data queries for a large volume of complex data for a multi-national broadcasting company.

• Redis
• Elasticsearch
• MongoDB

Usecase: MongoDB is the database technology used for service quality management software for IT projects, which our expert software developer team delivered to a client looking to fill a gap in the market. Read the full story on a sophisticated, resourceful offering for world-renowned brands with service quality management software.

• Redshift
• Databricks

Usecase: With databricks, a Fortune 500 company was able to reduce thier data reporting time by 80%. Read the full story on how our highly skilled data engineers made that happen.

DB migration tools:

• SQLAlchemy
• Psycopg2

Data validation:

• Customized Scrubber

Cloud computing:

• Amazon Web Services

ALM Software:

• Jira
• GitHub
• Bitbucket
• AWS code commit

Usecase: Bitbucket (version control) constituted part of the technology stack for a project building robust, scalable data pipelines with AWS infrastructure to unlock powerful insights to drive growth for global brands.

Development tools, IDEs:

• PyCharm
• Visual Studio Code
• Jupiter

Test:

• Pytest
• Unittest

Continuous Integration:

• GitHub Actions
• Bitbucket
• AWS code pipeline

Dependency management:

• Pipenv

Static code analyser:

• Pylint

Code formatter:

• Pep8

Web server:

• Elastic Beanstalk

Ardent, delivering excellence with Python technologies

We have been utilizing a range of Python technologies for over a decade to deliver innovative, cutting edge and future-proof software and data solutions. Our team of talented, experienced and dedicated software and data engineers are proficient in a wide range of python technologies and are committed in their efforts to continuously invest in their learning of these technologies. If you are looking for a data engineering services provider or a software development company that has expertise in Python, we can help. Get in touch to find out more to explore our other open-source technology partnerships.

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