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sophiasmithg · 1 month ago

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The Best 9 Python Frameworks for App Development in 2025

Python is the most popular and high-level, general-purpose programming language that supports multiple programming models, including structured, object-oriented, and functional programming. App developers often prefer using Python frameworks for App Development.

Developers often use Pyjnius, a Python library that allows access to Java classes. It can either launch a new Java Virtual Machine (JVM) within the process or connect to an existing JVM, such as the one already running on Android.

According to recent research from Statista, more than 48% of developers use Python frameworks for mobile app development.

What is a Python Framework?

Python frameworks are collections of pre-built modules and packages that help developers handle common tasks efficiently.

They simplify application development by providing ready-made solutions, so developers don’t have to start from scratch.

These frameworks also take care of details like thread management, sockets, and protocols, saving time and effort.

9 Best Python Frameworks for App Development in 2025

Explore here a list of Top 10 Python App Frameworks to Use in 2025:

1-Django

Django is a leading Python framework designed for building dynamic mobile and web applications with ease. It leverages a robust Object-Relational Mapping (ORM) system and follows the Model-View-Controller (MVC) pattern, ensuring clean, reusable, and easily maintainable code.

Whether you’re creating simple apps or scaling complex projects, Django’s powerful features make development faster and more efficient.

It has built-in tools like URL routing/parsing, authentication system, form validation, template engine, and caching to ensure a swift development process.

Django follows the DRY (Don’t Repeat Yourself) concept and focuses on rapid app development with a neat design.

This framework is the first choice of developers for any Python project due to its versatility, customization, scalability, deployment speed, simplicity, and compatibility with the latest Python versions.

According to a Stack Overflow survey, Django and Flask are the most popular Python software development frameworks.

Some examples popular examples of apps built with the Django framework are Instagram and Spotify.

Key Features of Django Framework:

Enables execution of automated migrations

Robust security

Enhanced web server support

Comprehensive documentation

Vast add-ins with SEO optimization

2-Flask

Flask stands out as a top-rated, open-source Python microframework known for its simplicity and efficiency. The Flask framework comes packed with features like a built-in development server, an intuitive debugger, seamless HTTP request handling, file storage capabilities, and robust client-side session support.

It has a modular and adaptable design and added compatibility with Google App Engine.

Besides Django, Flask is another popular Python framework with the Werkzeug WSGI toolkit and Jinja2 template.

Flask operates under the BSD license, ensuring simplicity and freedom for developers.

Inspired by the popular Sinatra Ruby framework, Flask combines minimalism with powerful capabilities, making it a go-to choice for building scalable and efficient web applications.

Key Features of Flask Framework:

Jinja2 templating and WSGI compliance

Unicode-based with secure cookie support

HTTP request handling capability

RESTful request dispatch handling

Built-in server development and integrated unit-testing support

Plugs into any ORM framework

3-Web2Py

Web2Py is an open-source, full-stack, and scalable Python application framework compatible with most operating systems, both mobile-based and web-based.

It is a platform-independent framework that simplifies development through an IDE that has a code editor, debugger, and single-click deployment.

Web2Py deals with data efficiently and enables swift development with MVC design but lacks configuration files on the project level.

It has a critical feature, a ticketing system that auto-generates tickets in the event of issues and enables tracking of issues and status.

Key Features of Web2py Framework:

No configuration and installation needed

Enables use of NoSQL and relational databases

Follows MVC design with consistent API for streamlining web development

Supports internationalization and role-based access control

Enable backward compatibility

Addresses security vulnerabilities and critical dangers

4-TurboGears

TurboGears is an open-source, full-stack, data-driven popular Python web app framework based on the ObjectDispatch paradigm.

It is meant to make it possible to write both small and concise applications in Minimal mode or complex applications in Full Stack mode.

TurboGears is useful for building both simple and complex apps with its features implemented as function decorators with multi-database support.

It offers high scalability and modularity with MochiKit JavaScript library integration and ToscaWidgets for seamless coordination of server deployment and front end.

Key aspects of TurboGears Framework:

MVC-style architecture

Provides command-line tools

Extensive documentation

Validation support with Form Encode

It uses pylons as a web server

Provides PasteScript templates

5-Falcon

Falcon is a reliable and secure back-end micro Python application framework used for developing highly-performing microservices, APIs, and large-scale application backends.

It is extensible and optimized with an effective code base that promotes building cleaner designs with HTTP and REST architecture.

Falcon provides effective and accurate responses for HTTP threats, vulnerabilities, and errors, unlike other Python back-end frameworks. Large firms like RackSpace, OpenStack, and LinkedIn use Falcon.

Falcon can handle most requests with similar hardware to its contemporaries and has total code coverage.

Key Features of Falcon Framework:

Intuitive routing with URL templates

Unit testing with WSGI mocks and helpers

Native HTTP error responses

Optimized and extensible code base

Upfront exception handling support

DRY request processing

Cython support for enhanced speed

6-CherryPy

CherryPy is an object-oriented, open-source, Python micro framework for rapid development with a robust configuration system. It doesn’t require an Apache server and enables the use of technologies for Cetera templating and accessing data.

CherryPy is one of the oldest Python app development frameworks mainly for web development. Applications designed with CherryPy are self-contained and operate on multi-threaded web servers. It has built-in tools for sessions, coding, and caching.

Popular examples of CherryPy apps include Hulu and Juju.

Key features of CherryPy Framework:

Runs on Android

Flexible built-in plugin system

Support for testing, profiling, and coverage

WSGI compliant

Runs on multiple HTTP servers simultaneously

Powerful configuration system

7-Tornado

It is an open-source asynchronous networking Python framework that provides URL handling, HTML support, python database application framework support, and other crucial features of every application.

Tornado is as popular as Django and Flask because of its high-performing tools and features except that it is a threaded framework instead of being WSGI-based.

It simplifies web server coding, handles thousands of open connections with concurrent users, and strongly emphasizes non-blocking I/O activities for solving C10k difficulties.

Key features of Tornado Framework:

Web templating techniques

Extensive localization and translation support

Real-time, in-the-moment services

Allows third-party authorization, authorization methods, and user authentication

Template engine built-in

HTTP client that is not blocking

8- AIOHTTP Python Frameworks for App Development

AIOHTTP is a popular asynchronous client-side Python web development framework based on the Asyncio library. It depends on Python 3.5+ features like Async and Awaits.

AIOHTTP offers support for client and server WebSockets without the need for Callback Hell and includes request objects and routers for redirecting queries to functions.

Key Highlights of AIOHTTP Python Framework:

Provides pluggable routing

Supports HTTP servers

Supports both client and WebSockets without the callback hell.

Middleware support for web servers

Effective view building

Also, there are two main cross-platform Python mobile app frameworks

9- Kivy Python Frameworks for App Development

Kivy is a popular open-source Python framework for mobile app development that offers rapid application development of cross-platform GUI apps.

With a graphics engine designed over OpenGL, Kivy can manage GPU-bound workloads when needed.

Kivy comes with a project toolkit that allows developers to port apps to Android and has a similar one for iOS. However, porting Python apps to iOS currently is possible with Python 2.7.

Features of Kivy Framework:

Enables custom style in rendering widgets to give a native-like feel

Enhanced consistency across different platforms with a swift and straightforward approach

Well-documented, comprehensive APIs and offers multi-touch functionalities

Source of Content: Python Frameworks for App Development

#topPythonframeworks #Pythonframeworksforappdevelopment #bestPythonframeworks #Pythondevelopmentframeworks #Pythonwebframeworks #top9Pythonframeworksfordevelopers #Pythonframeworksforbuildingwebapps #Pythonframeworksformobileandwebdevelopment #fullstackPythonframeworks #microframeworksinPython #Pythonappdevelopmenttools

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fromdevcom · 3 months ago

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Python is among one of the most popular and code-efficient languages available in the modern IT world. One of the primary reasons is that it has several features that are not available in any single language and it rather motivates programmers to write a readable code. As a language, Python has some powerful constructs for high-speed development and with its large standard library at the disposal, it becomes fairly easy to write new tools. Programmers working with other languages find Python comparatively easier to follow and understand. If you are working into development, it makes perfect sense to work with a web framework because it can help you jump-start your web application. It allows you to create a simple design with individual components for easy development. Django Django comes with its individual benefits including lesser code and easy web development process. High-end developers have always used it and one can easily create high-end apps with Django. Further, it allows quick development with features such as templating and custom tags/filters for better flow control. It follows the DRY (Don’t Repeat Yourself) principle and you can reuse the code for quicker development. Flask Flask is a microframework because of its extensible yet simple core. A new programmer might find it lacking several features such as form validation, database abstraction layer, and use of third-party libraries for adding common features. However, it allows extensions that make it comparatively easier to add the required functionality. Some of its features are perfect for development such as unit testing and it allows secure cookies for client-side applications. It is suited for light-weight applications and projects. CherryPy One of the most important reasons behind the origin of CherryPy is its compatibility with Python and its pythonic interface allows developers to integrate it just like any other module available in python. Another excellent feature is the ability to customize its every function and it comes with a native adapter (mod_python) making it excellent for development. It offers support for every single WSGI-enabled adapter and it allows wide implementation of CherryPy. Pyramid Pyramid is known for its efficient and fast-pace development abilities. One of the best things about this framework is the inclusion of some of the most exclusive features available in Python, Perl, and Ruby. This open source web framework has platform independent MVC structure and a minimalistic approach in development. Further, it is among the first platforms to reuse code at such a massive scale making development efficient. Web.py It is a unique framework in itself primarily because of its simplicity and the powerful development ability. You can comfortably write web apps in python; hence, taking the liability out of frameworks. Programmers enjoy working on web.py because of its zero limitations and ease of use. Some programmers might find its fewer features limiting; however, it allows room for successful integration and you don’t have to carry on all of these features, especially when you don’t need them. Grok It was motivated by the Zope toolkit and it started as an easy extension of zope toolkit making it easier for rookie programmers to use it. If you are starting into web applications, Grok can offer multiple building blocks and it has an excellent community, which is always ready to support. It offers a much simpler but rather agile mode of learning Python. It comes with a DRY approach making it an excellent tool with convention over configuration structure. Pylons Flexibility is one of the key features of pylons framework. Its central idea is to combine some of the best features offered by different Python frameworks and combine them together at a single place. Pyramid was one of the first offerings of Pylons and it laid emphasis over speedy and flexible development practices. You can literally use and combine any feature of your choice making web development efficient.

TurboGears It can be called as the conclusive framework with the features of its predecessors and none of the limitations experienced by other Python frameworks. It is possible to extend it into a full-stock solution and it even suits simple micro framework projects in a similar manner. It never feels like as if you are working on a framework and rather feels like writing new functions. You can create a read-to-extend application within a few minutes and it has a huge tutorial collection over the internet. Web2py The most important factors of web2py are its zero external dependencies and the ability to create, alter, manage, and modify your application within the browser only. You don’t have to work over simple web development tasks and most of these are automated for quicker development. The programmer doesn’t even require a single package for development, debugging, testing, deployment, and even database handling purposes. You can do it all with built-in web interface and it doesn’t has to be installed prior to usage. The programmer can initial a global environment with every http request and it is nothing like the other modules available in its parent frameworks. Zope2 Zope is a complete family of different web frameworks and it was pretty much the only framework that promoted Python as a programming language. With the development of other frameworks, zope2 is rather limited to the content management systems in our current development environment. The Zope tool kit is an excellent resource of libraries that allows you to reuse code and different libraries for efficient programming. CubicWeb The most important pillar of CubicWeb is code reusability and it comprises of code units in the form of cubes. It is highly flexible and yet powerful with some extraordinary features including RQL query language or a semantic-view feature for efficient coding. It is the best solution for semantic web applications and offers the ideal environment. As a programmer one must understand the flexibility and power of Python as a programming language. The choice of a framework depends upon the level of complexity and the intended usage of your web application. It is crucial to measure the load, scalability and efficiency required in the project. Choose a framework that can offer scope for scalability in future developments.

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codezup · 7 months ago

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Scale Flask Applications with Flask-Gunicorn and WSGI Servers

Introduction Flask-Gunicorn: Scaling Your Application with a WSGI Server Flask is a popular Python web framework for building scalable and efficient web applications. However, as your application grows, you may need to scale it to handle a larger number of users. This is where Flask-Gunicorn comes in – a WSGI server that enables you to deploy your Flask application on a production environment.…

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deepsfutura · 1 year ago

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Popular Python Frameworks 2024

Django

Developers may swiftly create complicated programs and apps with Django, an open-source, free Python framework. Python is a powerful tool for web developers to create high-quality online apps. Developing web apps and APIs is a breeze with Django, one of the greatest Python frameworks. It has been utilized for the development of more than 12,000 projects. The large library collection, minimal coding requirements, and component reusability of the Python framework make it well-liked.

CherryPy

CherryPy is a Python web development framework that is simple, fast, and stable. It may operate on any functional framework that supports Python and is available as open-source software. You can use any type of technology for data access and templating with the CherryPy web framework. It is capable of performing all the functions of a web framework, including file uploads, sessions, static content, cookies,etc.

Using CherryPy, developers may create web applications in the same way that they would any other Python object-oriented program. As a result, minor source code is developed faster.

Pyramid

The Pyramid Python web development framework is used by IT heavyweights including Yelp, Dropbox, Mozilla, and SurveyMonkey. Its simplicity and flexibility have made the framework popular. Python 3 is used to run Pyramid. To create intricate projects and necessary web apps, developers can utilize the Pyramid framework. Because of its transparency and quantifiable quality, even seasoned Python developers hold it in high respect.

Grok

ZPK technology serves as the foundation for the web framework Grok. Accelerating app development is the goal of the open-source Grok framework. Grok task needs to suggest a wide range of standalone and network libraries from which developers can select. Additionally, Pylons and TurboGears are two other full-stack Python frameworks that are similar to the framework’s user interface.

TurboGears

A full-stack Python web application framework powered by data is called TurboGears. The purpose of its design is to address the shortcomings of several popular frameworks for developing mobile and web apps. Software developers can start creating web applications with a minimal setup thanks to its empowerment. The JavaScript development tools provided by TurboGears facilitate the construction of Python websites for web developers and Python web development businesses. Elements like SQLAlchemy, Repoze, WebOb, and Genshi allow you to construct web apps considerably more quickly than with current frameworks. Pylons and other web servers are supported, along with several databases.

Web2Py

With Web2py, you can test and maintain web applications with a code editor, debugger, and deployment tool. Windows, Mac, Unix/Linux, Google App Engine, and more platforms are all supported by this cross-platform framework. Using an online interface, a web server, and an SQL database, the framework simplifies the process of developing Python apps. Through web browsers, it allows clients to create, edit, publish, and maintain web apps.

Flask

Based on the Sinatra Ruby framework, Flask is a Python framework available under the BSD license. Flask is dependent on the Jinja2 template and the Werkzeug WSGI toolset. The main goal is to support the establishment of a solid foundation for web applications. The Python backend framework is extensible to developers in any way they see fit. Still, it was intended for unrestricted use. Large corporations, such as Pinterest and LinkedIn, have used Flask. Flask works better for simple, tiny projects than Django. As a result, you may anticipate integrated unit testing, web server development, and support for Google App Engine.

Bottle

Small-scale frameworks like The Bottle are among the best available for Python web development. It was initially created for creating web APIs. Bottle attempts to perform all of these within a single source document as well. The Python Standard Library is the only dependency it has. Bottle’s default features include direction, utilities, templating, and basic abstractions over the WSGI standard. Coding with a full-stack framework will get you much closer to the metal, much like with Flask.

Tornado

The web framework and unconventional framework library for Python is called Tornado. The framework I/O is non-blocking. Furthermore, when designed correctly, the framework can handle more than 10,000 simultaneous connections, resolving the C10k issue. It is therefore a fantastic tool for developing applications that need to support many concurrent users and high performance.

BlueBream

A server, framework, and library for web developers, BlueBream is also available as an open-source resource. Previously known as Zope 3, it was created by the Zope group. With its many reusable and appropriate pieces, this framework works best for medium-sized and large-scale tasks. ZTK, or Zoop Toolkit, is used by BlueBream. It has vast expertise, therefore it satisfies the primary requirements for robust, consistent, and flexible programming.

To sum up, the abundance of Python frameworks suggests that opportunities abound in the software development industry. At Futura Labs, one of Calicut’s top software training facilities, we understand how important it is to understand these frameworks. Every framework offers advantages of its own, including the flexibility of Django and the ease of use of Flask. You may take advantage of these useful tools to reach your full potential and stay ahead in the quick-paced software development market by joining Futura Labs right now.

#python #django #training #software

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ecomstreetllc · 1 year ago

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Top Python Tools Every Developer Should Know in 2024

As Python continues to dominate the programming world, developers must stay updated with the latest tools to maximize their productivity and efficiency. Here at eComStreet, we believe that leveraging the right tools can significantly enhance your development experience. Here are the top Python tools every developer should know in 2024:

1. PyCharm

PyCharm, developed by JetBrains, remains one of the most popular Integrated Development Environments (IDEs) for Python. Its intelligent code editor, debugging capabilities, and integrated tools make it indispensable for developers. With features like code analysis, graphical debugging, and support for web development frameworks, PyCharm is a must-have tool for any serious Python developer.

2. Jupyter Notebook

Jupyter Notebook is an open-source web application that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It is particularly useful for data science and machine learning projects. The interactive nature of Jupyter Notebook makes it an excellent tool for exploratory data analysis.

3. Anaconda

Anaconda is a distribution of Python and R for scientific computing and data science. It simplifies package management and deployment, with a collection of over 1,500 packages for data science. Anaconda Navigator, a desktop graphical user interface, lets you launch applications and easily manage conda packages, environments, and channels.

4. Django

Django is a high-level Python web framework that promotes rapid development and clean, pragmatic design. Known for its simplicity and flexibility, Django includes numerous built-in features such as an ORM, authentication, and URL routing, which help developers build secure and maintainable web applications efficiently.

5. Flask

For those who prefer more control and less overhead, Flask is a lightweight WSGI web application framework. It’s easy to learn and simple to use, making it perfect for smaller projects and microservices. Flask’s modular design allows developers to choose the components they need, making it highly flexible.

6. Pandas

Pandas is an open-source data manipulation and analysis library. It offers data structures and functions needed to manipulate structured data seamlessly. Pandas are integral to data cleaning, data transformation, and data analysis tasks.

7. NumPy

NumPy is the fundamental package for scientific computing with Python. It supports large multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays. NumPy’s efficiency makes it a critical tool for numerical and data analysis.

8. TensorFlow

TensorFlow, an open-source machine learning framework developed by Google, is essential for deep learning projects. Its flexibility and comprehensive libraries support neural networks and other complex algorithms, making it a staple for AI development.

9. Beautiful Soup

Beautiful Soup is a library for parsing HTML and XML documents. It creates a parse tree for parsed pages that can be used to extract data easily. This tool is essential for web scraping projects.

10. Selenium

Selenium is a powerful tool for controlling a web browser through programs and automating browser tasks. It is widely used for web application testing and web scraping. Selenium supports multiple browsers and is compatible with various programming languages, including Python.

In conclusion, the landscape of Python development is continuously evolving. Staying abreast of the top Python tools every developer should know in 2024 can significantly boost your productivity and efficiency. At eComStreet, we recommend incorporating these tools into your development toolkit to stay ahead in the ever-competitive tech industry.

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valenteer-python · 1 year ago

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function :

lightweight WSGI web application framework. It is designed to make getting started quick and easy

install :

pip install Flask

cmd :

python app.py

flask run --reload

close server:

Ctrl+c

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arashtadstudio · 1 year ago

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WSGI is a specification for how a server and application communicate. Both the server interface, as well as the application interface, are specified in PEP 3333. A WSGI application (or framework or toolkit) can be stacked on any server that conforms to the WSGI specification. These applications are compatible with each other. A middleware piece must implement both sides of the WSGI interface: the application on top, and the application below. For a middleware piece to be a middleware piece, it must implement both sides of the WSGI interface, application, and server. WSGI Overview: There were about 14 million users on the web in 1993, and 100 websites. Pages were static at the time, but dynamic content, such as news and data, was already necessary. Rob McCool and others implemented the Common Gateway Interface (CGI) for the HTTPd web server of the National Center for Supercomputing Applications (NCSA). Since then, the number of Internet users has exploded, and dynamic websites have become ubiquitous. This was the first web server capable of serving content generated by a separate application. When learning a new language or even at the time of learning to code, developers, soon enough, want to know how to hook their code into the web. There have been many changes since the advent of CGI. The CGI approach became impractical because it required creating a new process on each request, wasting CPU and memory. Some other low-level approaches have emerged, such as FastCGI](1996) and mod_python (2000), which provide different interfaces between Python web frameworks and the web server. The proliferation of approaches led to limitations in developers' choices of frameworks and web servers. As a solution to this problem, Phillip J. Eby proposed PEP-0333, the Python Web Server Gateway Interface (WSGI) in 2003. The idea was to provide a high-level, universal interface between Python applications and web servers. PEP-3333 came out in 2003 to add Python 3 support to the WSGI interface. As of today, almost all Python frameworks rely on WSGI for communication with their web servers. This is how Django, Flask, and many other popular frameworks do it. How does WSGI work? When a WSGI server receives a client request, passes it on to the application, and then sends the response back to the client. It does nothing else; All the gory details must be supplied by the application or middleware. WSGI spec is not needed to build applications on top of frameworks or toolkits. If the middleware is not already integrated into the framework or the framework provides some kind of wrapper to integrate those that are not, one must understand how to stack it with the application or framework. Why Do we Need WSGI? Python applications cannot be run on a traditional web server. Grisha Trubetskoy, a developer, designed the Apache module mod_python in the late 1990s in order to execute arbitrary Python code. For several years in the late 1990s and early 2000s, Apache configured with mod_python ran most Python web applications. However, mod_python wasn't a standard specification, it was only an implementation that allowed Python code to run on a server. As a result, the community became aware that a consistent way to execute Python code for web applications was needed as mod_python's development slowed and security vulnerabilities were discovered. The Python community came up with WSGI as a standard interface that modules and containers could implement. WSGI is now accepted for running Python web applications. Purposes of WSGI: WSGI Provides Flexibility: In applications, developers can replace web stack components with others. For example, they can switch from Green Unicorn to uWSGI without modifying the application. PEP 3333 states that if such an API is available and widely used in Python web servers, users will be able to choose a framework and web server that suits them, while framework and server developers can concentrate on their preferred areas of specialization. WSGI servers promote scaling: A WSGI server is responsible for serving thousands of requests for dynamic content at once, not a framework. WSGI servers handle web server requests and decide how to forward those requests to an application framework. To scale web traffic efficiently, segregation of responsibilities is essential. Different Implementations of WSGI: There is a long list of WSGI implementations out there which you can find on the WSGI Read the Docs page. The following four implementations are among the most recommended and popular ones: 1. Green Unicorn The Gunicorn web application server is an enterprise-class WSGI web server that offers a lot of functionality. It natively supports various frameworks through its adapters, making it an excellent drop-in replacement for many development servers. Gunicorn works in much the same way as Unicorn's successful Ruby web server. Both use the pre-fork model. In essence, this means that the central [Gunicorn] master process manages workers, creates sockets, and bindings, etc. 2. uWSGI UWSGI is gaining steam as a high-performance WSGI server implementation. 3. mod_wsgi Mod_wsgi is an Apache HTTP Server module developed by Graham Dumpleton for hosting Python-based web applications with WSGI extensions and includes Python 2 and 3 (as of versions 2.6 and 3.2). 4. CherryPy This framework uses the Python programming language to build object-oriented web applications. It wraps the HTTP protocol, but stays at a low level and does not offer much more than what exists in RFC 7231. There is no support for tasks like templating for output rendering or backend access in CherryPy. You can use it as a web server or launch it from any WSGI-compatible environment. You can extend the framework with filters, which are called at certain points during request/response processing. Which Frameworks use WSGI? Flask and Django are both popular python frameworks that implement web Applications and both of them use WSGI. There are of course other python frameworks that use WSGI, but Django and Flask are the two most common. We will have a brief introduction to both frameworks in the following. Django With Django, you can create secure and maintainable websites quickly and easily. The experienced developers have built it and it can handle much of the hassle of web development, so you can focus on writing your app without reinventing the wheel. The software is free and open source, has an active community, great documentation, and many free and paid support options. Flask This lightweight WSGI web application framework allows users to create simple and fast web applications while scaling up to complex applications with ease. Originally designed as a wrapper for Werkzeug and Jinja, Flask has gained popularity as a web application framework for Python. Developers decide which tools and libraries they want to use. There are several extensions available from the community that makes adding new functionality easy. Flask offers suggestions but does not enforce dependencies. Developers choose the tools and libraries they want to use. Wrapping Up: In this article, you got familiar with WSGI, what it is, why we use it, why is it important, and how to implement it. In summary, WSGI is the Web Server Gateway Interface. It is a specification that describes how a web server communicates with web applications, and how web applications can be chained together to process one request. Download this Article in PDF format Arashtad Custom Services In Arashtad, we have gathered a professional team of developers who are working in fields such as 3D websites, 3D games, metaverses, and other types of WebGL and 3D applications as well as blockchain development. Visit Our Services Arashtad Services Drop us a message and tell us about your ideas. Fill in the Form Blockchain Development

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brollyacademysblog · 1 year ago

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Python Tutorial for beginners - Free Interactive Tutorial

Introduction to Python Full Stack Development

Full stack development refers to the development of both the front end (client side) and the back end (server side) portions of a web application. Full stack developers have the ability to design complete web applications and websites. They work on projects that involve databases, building user-facing websites, and even work with clients during the planning phase of projects.

Python Tutorial, a high-level programming language with a design philosophy which emphasizes code readability, has a syntax which allows programmers to express concepts in fewer lines of code than might be possible in languages such as C++ or Java. This makes it a great language for beginners. Python is perfect for full stack development because it is versatile and easy to use, making it quick and efficient to get web applications up and running.

Being a Python full stack developer has several benefits. Firstly, you have the knowledge to work on all aspects of application development, making you a valuable asset to any team. You can understand and work on solving issues that span multiple layers of the application. Secondly, Python has a wide range of frameworks such as Django and Flask that can speed up the web development process.

In conclusion, Python is an excellent choice for full stack development due to its simplicity, versatility, and the powerful frameworks it provides for both front end and back end development.

Setting Up a Virtual Environment

A virtual environment is a tool that helps to keep dependencies required by different projects separate by creating isolated spaces for them.

Install virtualenv: Type pip install virtualenvin your command prompt or terminal.

Create a Virtual Environment: Navigate to your project directory and type virtualenv myenv, where “myenv” is the name of your virtual environment.

Activate the Virtual Environment: Before you can start installing or using packages in your virtual environment you’ll need to activate it. On macOS and Linux, type source myenv/bin/activate. On Windows, type myenv\Scripts\activate

Essential Tools

Text Editor or IDE: This is where you’ll write your code. Some popular options include Sublime Text, Atom, PyCharm, and Visual Studio Code.

Command Line Interface: This is where you’ll run your code. On Windows, you can use Command Prompt or PowerShell. On macOS and Linux, you can use Terminal.

Version Control System (Git): This helps you manage different versions of your code. You can download Git from the official Git website.

Remember, setting up a development environment can take time and patience, but it’s a crucial part of being a successful developer.

Frontend Development with Python

Frontend development refers to the part of web development that involves creating the user interface and user experience of a website or web application. It includes everything that users interact with directly, such as text colors and styles, images, forms, and navigation menus.

Introduction to Frontend Development and How Python Fits Into It

While languages like HTML, CSS, and JavaScript have traditionally been used for frontend development, Python fits into this space too, thanks to frameworks like Flask and Django. These frameworks allow you to generate HTML, CSS, and JavaScript dynamically with Python code.

Python tutorial is particularly well-suited for backend development, but its simplicity and readability make it a good choice for frontend work as well. It allows for quick prototyping and iteration, and when combined with a frontend framework, Python can be a powerful tool for web development.

Overview of Python Libraries for Frontend Development

Two of the most popular Python libraries for frontend development are Flask and Django:

Flask is a lightweight WSGI web application framework. It’s designed to help developers get started with their web applications quickly and easily with the ability to scale up to complex applications.

Django is another high-level Python web framework that encourages rapid development and clean, pragmatic design. Built by experienced developers, it takes care of much of the hassle of web development, so you can focus on writing your app without needing to reinvent the wheel.

Hands-On Example: Creating a Simple Web Page Using Flask

Here’s how you can create a simple web page using Flask:

First, install Flask using pip: pip install flask

Next, create a new file called app.pyand add the following code:

from flask import Flask app = Flask(__name__) @app.route('/') def home(): return "Hello, World!" if __name__ == '__main__': app.run(debug=True)

3. You can run your application by typing python app.pyin your command line.

This will start a local web server running your application. If you navigate to http://localhost:5000in your web browser, you should see “Hello, World!” displayed.

Remember that while Python may not be a traditional language for frontend development, frameworks like Flask and Django provide powerful tools for building dynamic web applications with Python.

Backend Development with Python

Backend development refers to server-side development. It involves the functionalities of a website or web application that work behind the scenes, such as server configuration, application logic, and database management. Python, with its simplicity and wide range of libraries, is a popular choice for backend development.

Introduction to Backend Development and Python’s Role in It

Backend development is crucial as it powers the client side, i.e., everything that the user interacts with on a website or web application. It involves creating, deploying, and maintaining the technology needed to power those components which enable the user-facing side of the website to exist.

Python plays a significant role in backend development due to its readability, efficiency, and easy syntax. Its wide range of frameworks like Django and Flask make it even more powerful for backend programming. These frameworks have built-in functionalities that simplify tasks such as URL routing, template rendering, and database schema migrations.

Overview of Python Libraries for Backend Development

Python offers several libraries for backend development. Two of the most popular ones are Django and Flask:

Django: Django is a high-level Python web framework that encourages rapid development. It follows the DRY (Don’t Repeat Yourself) principle, aiming to reduce the repetition of software patterns.

Flask: Flask is a micro web framework written in Python. It does not include built-in abstractions for database handling or user authentication like Django does, giving you the flexibility to choose your tools.

Hands-On Example: Setting Up a Simple Server Using Django

Here’s how you can set up a simple server using Django:

First, install Django using pip: pip install Django

Next, create a new Django project: Django-admin startproject mysite

Navigate into your new project directory: cd mysite

Start the development server: python manage.py runserver

This will start a local web server running your new Django project. If you navigate to http://localhost:8000in your web browser, you should see a welcome page confirming that Django has been set up correctly.

Remember that while Python may not be a traditional language for frontend development, frameworks like Flask and Django provide powerful tools for building dynamic web applications with Python.

Database Management

Database management is a crucial aspect of full stack development. It involves storing, retrieving, and manipulating data in databases. Efficient database management ensures that data is available, protected, and organized.

Explanation of Databases and Their Importance in Full Stack Development

A database is an organized collection of data stored and accessed electronically. Databases are crucial in full stack development as they allow web applications to store data persistently. This could be anything from user profiles, to product catalogs, to transaction histories.

Databases are important because they allow for data persistence and reliability. They provide efficient access to large amounts of data and help ensure that the data is consistent and correct. They also provide mechanisms for backup and recovery, ensuring data safety.

Overview of Python Libraries for Database Management

Python offers several libraries for database management, one of the most popular being SQLAlchemy:

SQLAlchemy: SQLAlchemy is a SQL toolkit and Object-Relational Mapping (ORM) system for Python. It provides a full suite of well-known enterprise-level persistence patterns, designed for efficient and high-performing database access.

Hands-On Example: Creating and Querying a Database Using SQLAlchemy

Here’s how you can create and query a database using SQLAlchemy:

First, install SQLAlchemy using pip: pip install SQLAlchemy

Next, create a new Python file and add the following code:

from SQLAlchemy import create_engine, Table, Metadata # create engine engine= create_engine('sqlite:///example.db') # create metadata metadata = Metadata() # define table users = Table('users', metadata, autoload_with=engine) # select query query = users.select() # execute query with engine.connect() as connection: result = connection.execute(query) for row in result: print(row)

This code creates a new SQLite database called example. dB, defines a table called users, and then queries this table to print all rows.

Remember, while Python may not be a traditional language for frontend development, libraries like SQLAlchemy provide powerful tools for managing databases in Python.

Best Practices for Python Full Stack Development

Being a Python full stack developer is a rewarding experience, but it also comes with its own set of challenges. Here are some tips and tricks to help you on your journey:

Master the Basics: Before diving into full stack development, make sure you have a solid understanding of Python basics. This includes data types, control structures, functions, and classes.

Understand Both Ends: Full stack development means you’re working on both the frontend and backend. Make sure to familiarize yourself with HTML, CSS, and JavaScript for frontend development, and with databases and server-side programming for backend development.

Choose the Right Framework: Python has several great frameworks for web development, including Django and Flask. Choose the one that best fits your project’s needs.

Write Clean Code: Writing clean, readable code is crucial in any programming project. Follow Python’s style guide (PEP 8) and use comments to make your code easier to understand.

Don’t Neglect Testing: Testing is an essential part of software development. Make sure to write tests for your code to catch bugs early and ensure your application is working as expected.

Keep Learning: The field of web development is always evolving. Keep up-to-date with the latest tools and technologies by reading blogs, taking online courses, and participating in coding communities.

Remember, becoming a proficient full stack developer takes time and practice, so don’t be discouraged if you encounter challenges along the way.

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fullstackmasters01 · 2 years ago

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Python FullStack Developer Interview Questions

Introduction :

A Python full-stack developer is a professional who has expertise in both front-end and back-end development using Python as their primary programming language. This means they are skilled in building web applications from the user interface to the server-side logic and the database. Here’s some information about Python full-stack developer jobs.

Interview questions

What is the difference between list and tuple in Python?

Explain the concept of PEP 8.

How does Python's garbage collection work?

Describe the differences between Flask and Django.

Explain the Global Interpreter Lock (GIL) in Python.

How does asynchronous programming work in Python?

What is the purpose of the ORM in Django?

Explain the concept of middleware in Flask.

How does WSGI work in the context of web applications?

Describe the process of deploying a Flask application to a production server.

How does data caching improve the performance of a web application?

Explain the concept of a virtual environment in Python and why it's useful.

Questions with answer

What is the difference between list and tuple in Python?

Answer: Lists are mutable, while tuples are immutable. This means that you can change the elements of a list, but once a tuple is created, you cannot change its values.

Explain the concept of PEP 8.

Answer: PEP 8 is the style guide for Python code. It provides conventions for writing code, such as indentation, whitespace, and naming conventions, to make the code more readable and consistent.

How does Python's garbage collection work?

Answer: Python uses automatic memory management via a garbage collector. It keeps track of all the references to objects and deletes objects that are no longer referenced, freeing up memory.

Describe the differences between Flask and Django.

Answer: Flask is a micro-framework, providing flexibility and simplicity, while Django is a full-stack web framework with built-in features like an ORM, admin panel, and authentication.

Explain the Global Interpreter Lock (GIL) in Python.

Answer: The GIL is a mutex that protects access to Python objects, preventing multiple native threads from executing Python bytecode at once. This can limit the performance of multi-threaded Python programs.

How does asynchronous programming work in Python?

Answer: Asynchronous programming in Python is achieved using the asyncio module. It allows non-blocking I/O operations by using coroutines, the async and await keywords, and an event loop.

What is the purpose of the ORM in Django?

Answer: The Object-Relational Mapping (ORM) in Django allows developers to interact with the database using Python code, abstracting away the SQL queries. It simplifies database operations and makes the code more readable.

Explain the concept of middleware in Flask.

Answer: Middleware in Flask is a way to process requests and responses globally before they reach the view function. It can be used for tasks such as authentication, logging, and modifying request/response objects.

How does WSGI work in the context of web applications?

Answer: Web Server Gateway Interface (WSGI) is a specification for a universal interface between web servers and Python web applications or frameworks. It defines a standard interface for communication, allowing compatibility between web servers and Python web applications.

Describe the process of deploying a Flask application to a production server.

Answer: Deploying a Flask application involves configuring a production-ready web server (e.g., Gunicorn or uWSGI), setting up a reverse proxy (e.g., Nginx or Apache), and handling security considerations like firewalls and SSL.

How does data caching improve the performance of a web application?

Answer: Data caching involves storing frequently accessed data in memory, reducing the need to fetch it from the database repeatedly. This can significantly improve the performance of a web application by reducing the overall response time.

Explain the concept of a virtual environment in Python and why it's useful.

Answer: A virtual environment is a self-contained directory that contains its Python interpreter and can have its own installed packages. It is useful to isolate project dependencies, preventing conflicts between different projects and maintaining a clean and reproducible development environment.

When applying for a Python Full Stack Developer position:

Front-end Development:

What is the Document Object Model (DOM), and how does it relate to front-end development?

Explain the difference between inline, internal, and external CSS styles. When would you use each one?

What is responsive web design, and how can you achieve it in a web application?

Describe the purpose and usage of HTML5 semantic elements, such as , , , and .

What is the role of JavaScript in front-end development? How can you handle asynchronous operations in JavaScript?

How can you optimize the performance of a web page, including techniques for reducing load times and improving user experience?

What is Cross-Origin Resource Sharing (CORS), and how can it be addressed in web development?

Back-end Development:

Explain the difference between a web server and an application server. How do they work together in web development?

What is the purpose of a RESTful API, and how does it differ from SOAP or GraphQL?

Describe the concept of middleware in the context of web frameworks like Django or Flask. Provide an example use case for middleware.

How does session management work in web applications, and what are the common security considerations for session handling?

What is an ORM (Object-Relational Mapping), and why is it useful in database interactions with Python?

Discuss the benefits and drawbacks of different database systems (e.g., SQL, NoSQL) for various types of applications.

How can you optimize a database query for performance, and what tools or techniques can be used for profiling and debugging SQL queries?

Full Stack Development:

What is the role of the Model-View-Controller (MVC) design pattern in web development, and how does it apply to frameworks like Django or Flask?

How can you ensure the security of data transfer in a web application? Explain the use of HTTPS, SSL/TLS, and encryption.

Discuss the importance of version control systems like Git in collaborative development and deployment.

What are microservices, and how do they differ from monolithic architectures in web development?

How can you handle authentication and authorization in a web application, and what are the best practices for user authentication?

Describe the concept of DevOps and its role in the full stack development process, including continuous integration and deployment (CI/CD).

These interview questions cover a range of topics relevant to a Python Full Stack Developer position. Be prepared to discuss your experience and demonstrate your knowledge in both front-end and back-end development, as well as the integration of these components into a cohesive web application.

Database Integration: Full stack developers need to work with databases, both SQL and NoSQL, to store and retrieve data. Understanding database design, optimization, and querying is crucial.

Web Frameworks: Questions about web frameworks like Django, Flask, or Pyramid, which are popular in the Python ecosystem, are common. Understanding the framework’s architecture and best practices is essential.

Version Control: Proficiency in version control systems like Git is often assessed, as it’s crucial for collaboration and code management in development teams.

Responsive Web Design: Full stack developers should understand responsive web design principles to ensure that web applications are accessible and user-friendly on various devices and screen sizes.

API Development: Building and consuming APIs (Application Programming Interfaces) is a common task. Understanding RESTful principles and API security is important.

Web Security: Security questions may cover topics such as authentication, authorization, securing data, and protecting against common web vulnerabilities like SQL injection and cross-site scripting (XSS).

DevOps and Deployment: Full stack developers are often involved in deploying web applications. Understanding deployment strategies, containerization (e.g., Docker), and CI/CD (Continuous Integration/Continuous Deployment) practices may be discussed.

Performance Optimization: Questions may be related to optimizing web application performance, including front-end and back-end optimizations, caching, and load balancing.

Coding Best Practices: Expect questions about coding standards, design patterns, and best practices for maintainable and scalable code.

Problem-Solving: Scenario-based questions and coding challenges may be used to evaluate a candidate’s problem-solving skills and ability to think critically.

Soft Skills: Employers may assess soft skills like teamwork, communication, adaptability, and the ability to work in a collaborative and fast-paced environment.

To prepare for a Python Full Stack Developer interview, it’s important to have a strong understanding of both front-end and back-end technologies, as well as a deep knowledge of Python and its relevant libraries and frameworks. Additionally, you should be able to demonstrate your ability to work on the full development stack, from the user interface to the server infrastructure, while following best practices and maintaining a strong focus on web security and performance.

Python Full Stack Developer interviews often include a combination of technical assessments, coding challenges, and behavioral or situational questions to comprehensively evaluate a candidate’s qualifications, skills, and overall fit for the role. Here’s more information on each of these interview components:

1. Technical Assessments:

Technical assessments typically consist of questions related to various aspects of full stack development, including front-end and back-end technologies, Python, web frameworks, databases, and more.

These questions aim to assess a candidate’s knowledge, expertise, and problem-solving skills in the context of web development using Python.

Technical assessments may include multiple-choice questions, fill-in-the-blank questions, and short-answer questions.

2. Coding Challenges:

Coding challenges are a critical part of the interview process for Python Full Stack Developers. Candidates are presented with coding problems or tasks to evaluate their programming skills, logical thinking, and ability to write clean and efficient code.

These challenges can be related to web application development, data manipulation, algorithmic problem-solving, or other relevant topics.

Candidates are often asked to write code in Python to solve specific problems or implement certain features.

Coding challenges may be conducted on a shared coding platform, where candidates can write and execute code in real-time.

3. Behavioral or Situational Questions:

Behavioral or situational questions assess a candidate’s soft skills, interpersonal abilities, and how well they would fit within the company culture and team.

These questions often focus on the candidate’s work experiences, decision-making, communication skills, and how they handle challenging situations.

Behavioral questions may include scenarios like, “Tell me about a time when you had to work under tight deadlines,” or “How do you handle conflicts within a development team?”

4. Project Discussions and Portfolio Review:

Candidates may be asked to discuss their previous projects, providing details about their roles, responsibilities, and the technologies they used.

Interviewers may inquire about the candidate’s contributions to the project, the challenges they faced, and how they overcame them.

Reviewing a candidate’s portfolio or past work is a common practice to understand their practical experience and the quality of their work.

5. Technical Whiteboard Sessions:

Some interviews may include whiteboard sessions where candidates are asked to solve technical problems or explain complex concepts on a whiteboard.

This assesses a candidate’s ability to communicate technical ideas and solutions clearly.

6. System Design Interviews:

For more senior roles, interviews may involve system design discussions. Candidates are asked to design and discuss the architecture of a web application, focusing on scalability, performance, and data storage considerations.

7. Communication and Teamwork Evaluation:

Throughout the interview process, assessors pay attention to how candidates communicate their ideas, interact with interviewers, and demonstrate their ability to work in a collaborative team environment.

8. Cultural Fit Assessment:

Employers often evaluate how well candidates align with the company’s culture, values, and work ethic. They may ask questions to gauge a candidate’s alignment with the organization’s mission and vision.

conclusion :

Preparing for a Python Full Stack Developer interview involves reviewing technical concepts, practicing coding challenges, and developing strong communication and problem-solving skills. Candidates should be ready to discuss their past experiences, showcase their coding abilities, and demonstrate their ability to work effectively in a full stack development role, which often requires expertise in both front-end and back-end technologie

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mindfiresolutions-blog · 2 years ago

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What development capabilities you should look for in a Java company?

Most of the blogs on topics similar to this one on different forums try to include a bunch of companies wherein they mention about the company’s strengths and weaknesses. Usually such blogs have a hidden agenda to promote their own companies.

It is critical to choose the right outsourcing partner who can offer the appropriate skillsets and suitable engagement models for your projects. If you need to make a decision to outsource Python related projects, let’s take a look at some important aspects you should be familiar with. We have tried to capture the essence of each of these parameters below.

Today, Python is among the most prominent programming languages. It has gained global popularity, whether it’s about building an AI and ML application or even an app with Django web development.

You can use Python to build scalable and rapid web applications and software development. From B2C web apps to ERP apps, a Python development company can develop all sorts of applications for you.

If you want to hire a python development company to outsource your project, first, you need to know what it takes to choose the best one out of many. While many articles talk about the list of companies, we talk about how to find the best fit. Read on to know the necessary information before you reach out to outsource any company!

1. What development capabilities you should look for in a Java company?

a. Data Analysis

Data analysis using Python inspects, transforms, cleanses, and models data to discover useful information and form conclusions.

b. Software Prototyping

Software prototyping is the activity to create prototypes of software applications; incomplete versions of the software program which is being developed.

c. Custom Python Development

Get a team of Python developers who can dedicatedly work for your customized project and offer the best Python application.

d. Python Web Application Development

The Python web developers should be skilled and have experience in developing high-performance secure Python applications.

e. Python Migration

Integrate the skills and expertise of Python developers to migrate any existing application to Python for futuristic apps

f. Enterprise Python Applications

Get the developers who offer high-performing enterprise Python applications as per the business requirements while offering unique solutions to your users

g. Python Template Design

Hire Python developers who give unique and interactive Python templates for any feature-driven app development

h. Python Support & Maintenance Services

The hired team should have performance and quality solutions. For the same, get access to the best maintenance and support services.

i. AI & ML

Machine Learning is a new step in the direction of artificial intelligence (AI). It is a program to analyze data and learn to predict the outcome. Python has multiple frameworks and toolkits to develop AI & ML Solutions.

j. REST API Backend

API backend is a new way for developers to link their software with applications to cloud-based storage. It makes it easier to link up with APIs and software development kits.

2. What Skills Should Python Developers Have?

a. Pyramid

Pyramid is a lightweight, flexible, and open-source Python framework that aims at creating web applications with ease.

b. Web2py

Web2py is helpful for the rapid development of scalable, fast, database-driven secure web applications. It is a full-stack, open-source framework.

c. Flask

Flask is among the most popular, extensible Python microframeworks used to build fast and reliable web applications with Python.

d. CherryPy

CherryPy is an object-oriented HTTP framework that uses the Python programming language. It offers synchronous request support and is designed for rapid development.

e. TurboGears

TurboGears is a Python web application framework that has several WSGI components such as Genshi, WebOb, SQLAlchemy, and Repoze.

f. Zope

Zope is a free, open-source web application server in the object-oriented programming language Python.

3. Why Outsourcing Is Better?

When you operate in-house, you must be conscious that it will cost you money. Python framework is very accessible; however, you will ultimately spend more time and money to make everything work right. Let’s dig into this further.

a. Manage Your Money Better

Like said above, outsourcing is cheaper. But why? It’s because you just pay for the team you hire. The web framework or other resources are usually handled by the company. This makes it more cost-effective than using your resources for the objective. Since these developers are already armed with the necessary training, you have one less expense there too.

b. Get Quicker Results!

Also, you save time. This is because the Python development services are a highly oiled machine that’s ready to go anytime. They already know how to optimize efficiency and streamline things, so you get the results you want in the least time frame, whereas an in-house team would navigate a lot of trial and error to put things in order.

c. Long Term Support

Another benefit is that an in-house team will need to learn on the go. So if any problems arise up, they’ll need more time to troubleshoot and run diagnostics.

Professional Python developers have useful insight to help you at all times. If you run into an issue, you can just call them, and chances are they’ll immediately know how to can fix it.

4. Roles and responsibilities of a Python Development company

Simply put, they do all the work for you. There are top-notch experts in programming languages who can implement Python into your business on your behalf. Since the technology is highly versatile, these development teams offer a wide range of services.

These are typically:

● Debugging project

● Design and deploy mobile and web apps

● Develop web framework for coding

● Website development right from inception to publishing

● Incorporating artificial intelligence or machine learning capabilities

● Advising and suggesting based on data analytics

Remember that this list isn’t exhaustive. Python developers can accomplish a very diverse number and types of tasks. So if your business needs a service that is not listed, it’s not an issue. Just tell the team you what you need, and they’ll get right on it.

This is arguably the biggest benefit of working with this language. A big room for versatility exists, and programmers aren’t confined in any way. That’s why a large number of possible applications exist.

Looking for a Python team:

You must find an outsourcing company with a quality experience, adaptable approach, risk assessment knowledge, trustworthy communicators, and other additional benefits. As for the skilled web developers, they must be fluent in:

● Python syntax and semantics

● Rudimentary Python concepts

● Deep knowledge about object-relational mappers, like Django ORM or SQLAlchemy

● Experience in coding server-side templating languages

● Understanding the popular frameworks like Django, Pyramid, or Flask

● Data sources and Ample database in one single system integration comprehension

● Front-end development skills including HTML5, JavaScript and CSS3.

5. Preparing for outsourcing or collaboration:

● If you are outsourcing an integral business project to a third-party company, you need to ensure you have a collaboration-friendly environment. There has to be an equal amount of dedication and commitment from both sides.

● Prepare a list of requirements, goals, ideas, etc. Discuss all the scenarios of the job and show them to the team.

● Make the necessary data available to the outsourced company. It should include all the files and designs that are indispensable to your project.

● Identify the dependencies between your hired outsourced company and the in-house team. Make sure everyone knows their job roles and responsibilities known.

● Hire a project manager on either side who could play a key role in managing all sprint backlogs. It can be the point of contact for both parties throughout the development process.

● Set up access tools to keep an eye on the progress of your project.

● Ask questions whenever you need clarification to avoid misunderstandings.

Conclusion

There are an array of companies all waiting to be outsourced to, but you have to understand that there is no one perfect firm that fits all needs. It greatly depends on your project and requirement. Still, out of many, these three companies are the most proficient ones that can meet most of the needs-

● Mindfire Solutions- https://www.mindfiresolutions.com/

Industries served- Publishing, Healthcare, Retail and e-Commerce, e-Learning, Transportation and Financial Services.

● Netguru- https://www.netguru.com/

Industries served- E-commerce, banking, healthcare, real estate, travel, and more

● Selleo- https://selleo.com/.

Industries served- Manufacturing, automobile, healthcare, IT, and others.

#software development #software testing #api testing services #python developers #php web development

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caassette · 2 years ago

Photo

despite the lack of data, we can perform some digital archeology to make educated guesses about the content here.

from this github issue, we can find an exact hit for the html served for the "Could Not Connect" data. from this we can deduce:

two seperate XHR requests were made: one for the main content, and one for the sidebar.

this implies the website itself didn't use any kind of client-side framework or request coalescing -- this wasn't a sophisticated custom setup, it was an off-the-shelf plugin

the server was running apache -- geocities didn't use a bespoke in-house web server, but likely a custom configuration of apache behind a reverse proxy like nginx

from the url "Athens", we can infer that the site used to host content related to "Education, literature, poetry, philosophy"

searching "Adobe Web-Fotogalerie" leads to sites like this and this, which follow the exact same format. from this we learn that this site was likely a personal image hosting platform, from a time before imgur took over.

curling that second site, we find:

curl -I https://www.physik.uni-augsburg.de/theo1/hanggi/Pic_Bogul/index.htm

HTTP/1.1 200 OK

Date: Tue, 24 Oct 2023 15:19:42 GMT

Server: Apache/2.4.29 (Ubuntu) OpenSSL/1.1.1 WebAuth/4.7.0 mod_wsgi/4.5.17 Python/2.7

Access-Control-Allow-Origin: *

Access-Control-Allow-Methods: GET

Access-Control-Expose-Headers: Content-Security-Policy, Location

Content-Security-Policy: default-src 'self' 'unsafe-inline' staging.uni-augsburg.de www.uni-augsburg.de *.bootstrapcdn.com *.jquery.com *.cloudflare.com *.googleapis.com; style-src 'self' 'unsafe-inline' *.bootstrapcdn.com *.uni-augsburg.de

Last-Modified: Thu, 13 Oct 2016 17:41:56 GMT

ETag: "1488-53ec2a036f8c0"

Accept-Ranges: bytes

Content-Type: text/html

this gives us more evidence for our earlier hypothesis that the server was running apache, and in particular python wsgi. python 2.7 didn't release until 2010, so this webserver likely used 2.3.

we can see some practices still widely in use today, such as serving scripts and assets from cdn's (that's the bit with *.bootstrapcdn.com *.jquery.com *.cloudflare.com *.googleapis.com in it).

in conclusion, this site was someone's photo album. the type of photos it hosted may have been generally themed towards education, philosophy, and things of that nature -- but it's hard to say. another reason they may have chosen "Athens" is just that it starts with "A". what we are looking at here is a burned out husk of early 2000's personal internet. these days the photos would get shared to facebook.

original url http://www.geocities.com/Athens/Atrium/9119/

last modified 2007-02-13 20:39:20

9 notes · View notes

sophiasmithg · 5 months ago

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9 Top Python Frameworks for App Development (+Use Cases)

Explore here a list of Top 10 Python App Frameworks to Use in 2025:

1-Django

Whether you’re creating simple apps or scaling complex projects, Django’s powerful features make development faster and more efficient.

It has built-in tools like URL routing/parsing, authentication system, form validation, template engine, and caching to ensure a swift development process.

Django follows the DRY (Don’t Repeat Yourself) concept and focuses on rapid app development with a neat design.

According to a Stack Overflow survey, Django and Flask are the most popular Python software development frameworks.

Some examples popular examples of apps built with the Django framework are Instagram and Spotify.

Key Features of Django Framework:

Enables execution of automated migrations

Robust security

Enhanced web server support

Comprehensive documentation

Vast add-ins with SEO optimization

2-Flask

It has a modular and adaptable design and added compatibility with Google App Engine.

Besides Django, Flask is another popular Python framework with the Werkzeug WSGI toolkit and Jinja2 template.

Flask operates under the BSD license, ensuring simplicity and freedom for developers.

Inspired by the popular Sinatra Ruby framework, Flask combines minimalism with powerful capabilities, making it a go-to choice for building scalable and efficient web applications.

Key Features of Flask Framework:

Jinja2 templating and WSGI compliance

Unicode-based with secure cookie support

HTTP request handling capability

RESTful request dispatch handling

Built-in server development and integrated unit-testing support

Plugs into any ORM framework

3-Web2Py

Web2Py is an open-source, full-stack, and scalable Python application framework compatible with most operating systems, both mobile-based and web-based.

It is a platform-independent framework that simplifies development through an IDE that has a code editor, debugger, and single-click deployment.

Web2Py deals with data efficiently and enables swift development with MVC design but lacks configuration files on the project level.

It has a critical feature, a ticketing system that auto-generates tickets in the event of issues and enables tracking of issues and status.

Key Features of Web2py Framework:

No configuration and installation needed

Enables use of NoSQL and relational databases

Follows MVC design with consistent API for streamlining web development

Supports internationalization and role-based access control

Enable backward compatibility

Addresses security vulnerabilities and critical dangers

4-TurboGears

TurboGears is an open-source, full-stack, data-driven popular Python web app framework based on the ObjectDispatch paradigm.

It is meant to make it possible to write both small and concise applications in Minimal mode or complex applications in Full Stack mode.

TurboGears is useful for building both simple and complex apps with its features implemented as function decorators with multi-database support.

It offers high scalability and modularity with MochiKit JavaScript library integration and ToscaWidgets for seamless coordination of server deployment and front end.

Key aspects of TurboGears Framework:

MVC-style architecture

Provides command-line tools

Extensive documentation

Validation support with Form Encode

It uses pylons as a web server

Provides PasteScript templates

5-Falcon

Falcon is a reliable and secure back-end micro Python application framework used for developing highly-performing microservices, APIs, and large-scale application backends.

It is extensible and optimized with an effective code base that promotes building cleaner designs with HTTP and REST architecture.

Falcon can handle most requests with similar hardware to its contemporaries and has total code coverage.

Key Features of Falcon Framework:

Intuitive routing with URL templates

Unit testing with WSGI mocks and helpers

Native HTTP error responses

Optimized and extensible code base

Upfront exception handling support

DRY request processing

Cython support for enhanced speed

6-CherryPy

Popular examples of CherryPy apps include Hulu and Juju.

Key features of CherryPy Framework:

Runs on Android

Flexible built-in plugin system

Support for testing, profiling, and coverage

WSGI compliant

Runs on multiple HTTP servers simultaneously

Powerful configuration system

7-Tornado

It is an open-source asynchronous networking Python framework that provides URL handling, HTML support, python database application framework support, and other crucial features of every application.

Tornado is as popular as Django and Flask because of its high-performing tools and features except that it is a threaded framework instead of being WSGI-based.

It simplifies web server coding, handles thousands of open connections with concurrent users, and strongly emphasizes non-blocking I/O activities for solving C10k difficulties.

Key features of Tornado Framework:

Web templating techniques

Extensive localization and translation support

Real-time, in-the-moment services

Allows third-party authorization, authorization methods, and user authentication

Template engine built-in

HTTP client that is not blocking

8-AIOHTTP

AIOHTTP is a popular asynchronous client-side Python web development framework based on the Asyncio library. It depends on Python 3.5+ features like Async and Awaits.

AIOHTTP offers support for client and server WebSockets without the need for Callback Hell and includes request objects and routers for redirecting queries to functions.

Key Highlights of AIOHTTP Python Framework:

Provides pluggable routing

Supports HTTP servers

Supports both client and WebSockets without the callback hell.

Middleware support for web servers

Effective view building

Also, there are two main cross-platform Python mobile app frameworks

9- Kivy

Kivy is a popular open-source Python framework for mobile app development that offers rapid application development of cross-platform GUI apps.

With a graphics engine designed over OpenGL, Kivy can manage GPU-bound workloads when needed.

Kivy comes with a project toolkit that allows developers to port apps to Android and has a similar one for iOS. However, porting Python apps to iOS currently is possible with Python 2.7.

Features of Kivy Framework:

Enables custom style in rendering widgets to give a native-like feel

Enhanced consistency across different platforms with a swift and straightforward approach

Well-documented, comprehensive APIs and offers multi-touch functionalities

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