The Top Python Frameworks for App Development

Python development is on an expected steep climb. The language is the first choice of many Python application development companies. According to the Popularity of Programming Language report, the use of Python grew the most in the last five years by 19.0%. In addition, the TIOBE index places the language in 3rd place amongst the world’s most used languages. Many major technology-based companies today, such as Netflix, Google, Instagram, and more, are using Python for application development.

A software development company chooses to work with Python because they can use the framework across various industries. For example, it can be used for machine learning, databases, cloud infrastructure, UI/UX design, data analysis, web scraping, security, mobile development, and APIs, and that’s just the beginning.

Python is an object-oriented, interpreted, and interactive programming language. As a result, it’s easy to learn and read due to natural language, effectively lessening the development time.

Any Python development company would claim that they believe in the reliability and efficient speed of the language. As a result, developers can efficiently work with and deploy Python frameworks for web development.

Since Python does not have many built-in features required to accelerate custom web application development, many developers choose Python frameworks to deal with the small details of coding a web application.


What are some of the best python frameworks for app development?

Here is a list of some of the top Python frameworks 2022 that development companies prefer to use. Let us have look at 6 Python frameworks and their uses-


1. Django:

    • It is a free and open-source Python-based framework that enables developers to develop complex code and apps quickly. Django assists in developing quality web applications.
    • It streamlines web application development by giving different robust features. In addition, it has a vast library and underscores effectiveness, less need for coding, and reusability of components.
    • Django is amongst the top python frameworks used in application development by some top websites such as Pinterest, Instagram, The Washington Times, and more.
  • Features:
    • Simple and powerful URL system
    • OOP’s based language database that provides good data storage and recovery
    • Built-in authentication system


    2. TurboGears:

    • When it comes to Python frameworks for web development, TurboGears is among the top choice for Python developers.
    • It has been designed to overcome the inadequacies of various app development frameworks. It empowers Python web development solutions to begin developing web applications with an insignificant setup.
    • It helps to streamline Python website development utilizing various JavaScript development tools. It is based on MVC architecture and enables fast website creation because its features allow it to function as a full-stack or microframework solution.
    • Multi-database support
    • Features executed as function decorators
    • MVC-style architecture and PasteScript templates


    3. Bottle:

    • It is one of the trending python frameworks of 2022. It falls under the segment of small-scale frameworks. Initially, it was developed for building web APIs. It tries to execute everything in a single source document. Also, it has no other dependencies than Python Standard Library.
    • Some of its differentiated functionalities include templating, utilities, directing, and some fundamental abstraction over the WSGI standard. Also, it enables developers to work much closer to the hardware.
    • Moreover, the framework has the ability of request dispatching via URL, key/value databases and templates, and built-in HTTP server support.
    • It supports speed optimization for testing and better performance
    • Rapid and pythonic built-in template engine and backing
    • Permits easy access to data, cookies, file uploads, and more


    4. CherryPy:

    • It is ten years old and still amongst the most popular Python frameworks for web development. It has proved to be very quick and stable.
    • It implements the CRUD (Create, Retrieve, Update, and Delete) features into applications, making it easy for developers to manage a project from anywhere.
    • It is an open-source Python for app development framework that embeds its multi-hung server. The framework can run on any working framework that supports Python.
    • It enables programmers to develop web apps in the same way as they would develop any other object-oriented Python program. This results in the development of minor source code in less time.
    • It has built-in profiling, coverage, and testing support
    • Easy to run on multiple HTTP servers at once
    • Efficiently runs on Python 2.7+, 3.5+, PyPy, Jython, and Android


    5. Flask:

    • It is a micro-web framework that is used for the best Python application development. It does not need additional tools or libraries and integrates with the development server and unit testing support.
    • The platform is based on the Unicode system that allows the developers to transmit queries in a RESTFUL manner. This makes it appealing for the application developers.
    • It has been designed for open-ended applications. Big enterprises such as LinkedIn mostly use it to manage small and easy projects.
    • Built-in development server and debugger
    • Uses Jinja2 templating
    • It provides integrated unit testing support


    6. BlueBream:

    • It is an open-source web application framework, server, and library for website developers. The Python framework web development is used for medium and extensive activities divided into various re-usable and well-suited segments.
    • It relies upon the Zoop Toolkit (ZTK). It has extensive experience, ensuring it meets the main essentials for enduring, relentless, and adaptable programming.
    • Unit and functional testing frameworks
    • Tools for automatically generating forms
    • It has XHTML-compliant language for developing templates


    This list of python web frameworks is just a minor glimpse into some of Python most popular frameworks. Though many Python web development frameworks are popular, the list compiles the top 5 frameworks suitable for different objectives.

    Python app creation is rapid and adaptable. Since it is very flexible, all sorts of applications can be developed using it. It also has several libraries – one reason businesses choose Python over other languages. However, it depends upon frameworks for application development.

    Each framework in the Python frameworks list and more has pros and cons. Likewise, each Python development team has its style and preference. They will access the framework as per the requirement of each project. Hence the ultimate choice of the Python framework will highly depend upon the project.

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    Sanju September 12, 2022 0 Comments

    5 Best Applications of Python in Data-driven Decision Making

    Over the past few years, technologies are continuously changing worldwide. We are living an upgrading life than we ever imagined in our wildest dreams. But there are a few great people who not only dreamed but made it come true with continuous effort and consistency. They are tomorrow’s future and eminent data science personnel who change the world in multiple ways and set a new bar for living a better life.

    Have you ever thought about what made these technologies so powerful and popular at the same time? It’s nothing but programming languages like Python and R and their libraries that simplify the whole technology with advanced algorithms.

    Yes, you heard it right. Python is not a new language anymore, but its popularity keeps growing over the past few years due to data science, machine learning, and artificial intelligence.

    Python’s Top-Notch Applications in Data-driven Decision Making

    The world is too excited about data science and data-driven decision-making, and those who have a career in it have a rewarding career. Intelligent coding algorithms help us to understand the business inside out, in all aspects. Where we once had some raw data, but now we talk about complex data. Whether it’s a big or small enterprise, the world runs on data, and you need data to make any business sustain in this world.

    Data analysis is overwhelming; the more you get into it, the better you know the business insights. But that is not what we are talking about, other than data-driven decision-making. So let’s learn about some of the best applications of Python in data-driven decision-making in detail.

    Sometimes how well you know Python and its algorithms define how much you get out of it. This blog aims to make you understand the importance of Python in modern days technologies.

    Web Development Using Python

    You see the best animations, UI and UX when you type the website address and hit the keyboards’ enter key. Have you ever thought about what made it easy to develop such powerful and lightning-fast websites despite having so much content in them? Its Python that handles the content management system simplifies the web developers’ process using lazy images concept for faster loading.

    The most popular web development frameworks are Flask, Django, Pyramid, Bottle, etc. And best CMS includes Django CMS, Wagtail, and Plone Content Management System.  These advanced CMS platforms provide additional security, easy scalability in the development process using advanced protocols such as HTML, XML, FTP, etc. Python libraries not only enhance the functionalities of the web applications and help in developing them seamlessly.

    Game Development Using Python

    Python is not limited to website development anymore. It has already spread its mark in game development too. Have you heard about the famous games of the ’20? Then Battlefield 2.0 stands the tallest on the list for its popularity and flexibility.

    If you are wondering about some of the great Python libraries for adding 2D and 3D graphics to your playing, then the set of libraries are PyGame, Pycap, Construct, Panda3D, PySoy, PyOpenGL.  Their popularity due to Python is Sims 4, World of tanks, Eve Online, Disney Toontown, etc.

    Artificial Intelligence and Machine Learning

    Python programming is one of the top-most programming languages globally and most favorite for machine learning and artificial intelligence. The most creative brain behind most innovative technologies focuses on intelligent decision-making.

    Python advanced libraries provide a handful of opportunities for developing ML and AI-powered solutions to machines. Since Python has opened many possibilities to the intellectual world, there is a steep rise in Python’s demand for data-driven decision-making.

    Python has the most outstanding stability and top-notch security for handling intensive computations that help develop AI and ML systems runs smoothly. Python’s vast library collection facilitates developing new models and algorithms to integrate with modern technologies seamlessly.

    Some of the prevalent Python libraries are SciPy, NumPy, Keras, Pandas, Tensor Flow, Scikit-learn.

    Image and Text Processing

    Have you ever come across a captcha that asks you to choose the right image, or types the right words that you read or hear for more security, or prove that you’re not a robot. And when you click or type the right words, you can download or open an account there. It’s on advanced ML, deep learning, and neural network algorithms (based on KNN Algorithms) that learn from themselves. For seamless functionalities, Python offers plenty of libraries that purely focus on image processing.

    They are OpenCV, Scikit-image, Python Image Library (PIL). Some of the image processing platforms that use Python are GIMP, Corel Paintshop, Blender, Houdini, etc.

    But text-processing is highly impossible with natural language processing (NLP). It allows handling an enormous amount of data by giving you the flexibility to arrange them as per your choice. You can use NLP to sort lines, extract texts, format paragraphs, and many more text processing things.

    Data Visualizations Using Python

    Data plays a crucial role in the modern world. It’s the customers’ critical understanding and their choices to create the right products for gathering and analyzing essential insights about them. The entire domain of data science revolves around; identifying problems, data gathering, analyzing and exploration, data analysis, and finally, data visualization for better understanding.

    Python ecosystem offers various libraries that can help you solve critical problems and help in better decision-making to keep data science on the front line. Some real-time use Python libraries are TensorFlow, PyTorch, Pandas, Scikit-Learn, NumPy, SciPy, etc. helps in creating the best ML and deep learning models with data crunching and manipulations.

    But not everyone understands this data without graphical representation, and to communicate with the stakeholders, you need data visualization. Python has multiple libraries for visual expression, including Plotly,  Matplotlib, Seaborn, Ggplot, Geoplotlib as the most advanced data visualization tools.

    Final Words

    Python is the most popular programming language globally. It had many advanced libraries and enormous functionalities that helped in seamless integration and coped with modern technologies. In this blog, we learned about various Python libraries, their best use cases, and applications in data-driven decision-making.

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    Sanju May 12, 2021 0 Comments