Some Research Measures

As per the Data Science Skills study, the favorite language of data scientists is Python. The reason behind this growing popularity is that Python includes vast programming communities across the globe. With several libraries available, data scientists find it much easier to explore a huge amount of available data. Some of the most popular libraries in Python are Panda, Numpy, Sklearn, and MatPlotLib.

According to Analytics India Magazine, Python will dominate the market and continue to be the top choice among data analysts and data scientists. This is reflected in the hiring market with 17% jobs listing Python as a core capability.

What is Python?

Python is a dynamic object-oriented programming language used for web development. This open-source, powerful and object-oriented programming language uses a simple syntax that improves its readability. Python requires fewer codes that speed up the development process.

Reasons for choosing Python for business applications

  1. Highly Productive: Python is highly considered while creating complex multi-protocol network apps. It has

    • object-oriented designs
    • improved process control capabilities
    • better integration as well as text processing capabilities
    • Own testing framework
    All these features lead to increased productivity and development speed.

  2. Open-source language: Python is developed under an OSI-approved open source license, making it freely usable and distributable. The source code is freely available to the public so that you can download it, change it, and distribute it.

  3. Portable: The code in Python is portable, hence there is no need to change the code for different platforms. That single code can be run on many platforms.

Applications of Python

  1. Web and Internet Development: Python has a standard library of Internet protocols that includes HTML & XML, JSON (Javascript Object Notation), IMAP (Internet Access Message Protocol), email processing, programmer-friendly socket interfaces, Requests (HTTP client library), twisted python (for implementing asynchronous network programming), etc. Developers find it easy to create a web app using Python.

  2. Desktop GUI’s (Graphical User Interface): It is easy to design creative UIs with the help of a standard GUI library called ‘Tk’. Almost all the binary distributions of python get crafted with Tk. Some of the other beneficial toolkits are wxWidgets, Kivy (for writing multi-touch apps), win32 extensions (for Microsoft foundation classes).

  3. Numeric and Scientific Apps: Python is highly growing in scientific and numerical computing. Some of the popular packages are:

    • SciPy-Cluster of packages for mathematics, science and engineering domains.
    • Pandas- a data structuring and modeling library.
    • IPython- for easy editing and recording of the work sessions along with parallel computing and visualization support.
    • Numpy- for dealing with complicated numerical calculations

  4. Machine learning: Python is highly preferred by engineers, analysts and scientists to run machine learning algorithms. It involves text processing, natural language processing, image processing, and data science. Some of the famous packages used are:

    • Tensorflow & Keras: TensorFlow is a free and open-source software library for dataflow and differentiable programming across a number of tasks. It is created and maintained by the Google Brain team.
    • NLTK: The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs. It is used for symbolic and statistical language processing for writing English in the Python programming language.
    • Sci-kit learn: Sci-kit-learn is an open-source Python library that implements a range of machine learning, preprocessing, cross-validation and visualization algorithms using a unified interface.
    • Pytorch: PyTorch is an open-source deep learning framework. It is designed to provide flexibility and modularity for research purposes. It is developed and maintained by the Facebook AI team.

  5. Business Applications: Python is used in developing high-quality Enterprise Resource Planning (ERP) and eCommerce systems. Some of the software used are:
    • Django - It is a high-level Python Web framework that encourages rapid development and clean, realistic design.
    • Flask - It is a microweb framework written in Python. It provides tools, libraries, and technologies suitable for building a web app. These web apps could be web pages, a blog, a web-based calendar app or commercial websites.
    • Odoo - A management software with a range of business apps that offers a complete suite of enterprise-management apps.

Popular examples of Python built applications

Instagram, Disqus, Spotify, Dropbox, Uber, Reddit, Netflix, etc

Python development services offered by Jellyfish Technologies

Jellyfish Technologies delivers the best high-quality web app development services using Python. Our team of experienced and skilled professionals delivers satisfactory customer services by deploying innovative & collaborative project management systems. Our best python development solutions display Python’s key feature readability and ensure robust product quality. We serve our clients globally and operates on a wide range of technologies:

  • EC2, Beanstalk, RDS, DynamoDB
  • HTML5, CSS3
  • Django, Pinax, Oscar-Accounts, Stripe, Twilio, Flask
  • Scikit-learn, Tensorflow, OpenCV, Pytorch, Keras, Spacy, NLTK

Why you should hire a Python Developer from Jellyfish Technologies

With dedicated Python developers for hire, we provide you the benefit of flexibility and utility according to your requirements. Contact our experts for further consultations.

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