Leveraging Python for Futuristic Application Development

Leveraging Python for Futuristic Application Development

Python is a robust open-source programming language that is widely popular, as it is easy to learn and code. The reason for popularity and demand of the Python is the application development capabilities contributing to the futuristic technologies like Robotics, AI, Machine Learning, Big Data and many more. A powerful set of function libraries in Python help you in efficient data manipulation and analysis. The in-depth knowledge of Python helps developers to create dynamic scripts with enhanced code readability for effortless application development.

Technologies Leveraging Python

Python is extensively deployed in web and application development, but it also contributes immensely to the futuristic technologies to the core including:

Artificial Intelligence: Python is seamlessly used in developing Artificial Intelligence (AI) supported real-time, interactive and intelligent applications. The plethora of extensive Python libraries, framework, and tools are used to develop reusable codes that intend to reduce human effort and errors and enhance productivity and efficiency. Some of the live and powerful examples of Python integrated AI that we use in everyday life include speech recognition system, automated vehicles, data interpreters and Google Assistant to name a few. AI areas using Python libraries and tools include:

  • Machine Learning: PyML, PyBrain, GraphLab Create, MIPy scikit-learn, MDP Toolkit etc.
  • General AI: pyDatalog, AIMA, EasyAI, SimpleAI etc.
  • Natural Language & Text Processing: Quepy, NLTK, genism
  • Neural Networks: PyAnn, pyrenn, ffnet, neurolab etc.

Big Data: Python supports Big Data integrated applications and hence contributed to the adoption and enhancement of this holistic advancement significantly. The robust and readable Python scripts are used to efficiently analyze large datasets. The intuitive Python toolkits and libraries that help data scientists address big data concerns include:

  • Pandas
  • Scikit-Learn
  • NumPy
  • Bokeh
  • Agate
  • PySpark
  • Dask SciPy
  • GraphLab Create
  • IPython

Networking: Networking domain also observes the dominance and power of Python language. The Python codes and scripts are used to configure routers and switches. The other network automation tasks can also be seamlessly carried out with the help of Python securely and cost-effectively. Python libraries and tools that are used by network engineers to accomplish network automation include:

  • Ansible
  • Netmiko
  • Pyeapi
  • Junos PyEZ
  • PySNMP
  • Paramiko SSH

Career Opportunities with Python

Acquiring far-reaching programming skills in Python opens door to enormous career opportunities as:

  • Python Developer
  • Research Analyst
  • Data Analyst
  • Data Scientist
  • Software Developer
  • Full Stack Developer
  • DevOps Engineer


To leverage the Python’s popularity and help you grab the promising career options, NetCom Learning offers extensive Python training and certification courses. Python training are available in different learning modes and custom schedules to help you gain proficiency in robust application development. with hands-on exposure with powerful scripts to support the advancing technologies.

Author: NetCom Learning

NetCom Learning helps build innovative learning organizations in the workplace by structuring a smarter workforce, supporting changes, and driving growth. Since 1998 we have been empowering organizations to reach optimal performance results and address challenges by managing all aspects of organizational learning. With a team of dedicated and knowledgeable learning professionals having profound subject-matter expertise, NetCom Learning has serviced over 80 percent of Fortune 1000 companies and helped over 12,000 organizations achieve their business goals.

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