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Top Python Developer

Clutch, an independent research firm that ranks development companies based on their ability to deliver, ranked CognitiveClouds as a Top Python Developer.

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The Python programming language is used by 86% of developers, making it the most popular programming language in the world. 

With Python,  we can create a wide range of solutions, including e-commerce integrations, 3D games, enterprise workflow software, and more. 

The benefits of Python that make it extremely popular

With languages like Java and C++, developers are often reluctant to tackle major design changes as it's hard to break through it, compile it and work again. In Python, major changes aren't as expensive, and its readability makes collaboration easy for various programmers working on the same codebase. 

Python is a scripting language. This simply means that when coding tends to be in flux, when requirements and design keep changing, a change to the code is all we need to be up and running again. 

Testing is also much simpler since the work cycle is more limited. In contrast to other programming; Python isn't about following big processes like code, compile, build and test. Python is simply coding and testing. 

More benefits of Python: 

1. Easy syntax 

Python is an easy programming language to read and write. It resembles natural language, meaning that it does not have complex symbols. This makes Python very user friendly for both beginners and experienced software engineers. 

2. Versatility 

Python comes with pre-made code libraries that are ready to use. These codes can quickly create web apps, machine learning (ML) algorithms, data analysis solutions, etc. There is no limit to what Python programmers can create.

3. Flexibility 

Python language can adapt to different data formats and use cases because it is typed dynamically. This means we can write code without having a predetermined or fixed data set in mind. Therefore, we can create a  range of applications with fewer restrictions. 

Also, when you work with developers like us that have the experience needed to recognize and fix building bottlenecks rapidly as they emerge, scaling with Python is not complicated. 

4. Python is open source

Python is a free open source programming language with a large community-driven support network. 

This community offers numerous online resources to help with Python software development, e.g., tutorials, documentations, and help forums. 

5. Interactivity

Python code can run on any operating system. That means that a Python development team can work from any device, e.g., Windows, Linux, or Mac, and collaborate seamlessly. 

Python as well allows developers to write and test their code in real time without needing to compile or save it on separate devices. 

More reasons to go with Python:

  • Simpler than PHP
  • Simple and easy debugging tools
  • Fewer code lines
  • Fast app development
  • User-accommodating information structures for web applications
  • Compatible on other platforms
  • Built-in Data Structure

We offer business growth-focused  Python services

Clutch, an independent research firm that ranks development companies based on their ability to deliver, has ranked Cognitive Clouds as a Top Python Developer & Python Development Company

We are an experienced and knowledgeable Python development service provider company. Our group of Python specialists and project administrators has years of experience with versatile and incredible web development using Python. From conceptualizing the application idea to creating it, maintenance to post-creation, we offer A to Z solutions for Python development services.

Sample our Python development services: 

1. Python web development

We help businesses like yours to create Python-powered digital products that run on the web. These include shopping apps, automated quote generators, interactive product catalogs, eCommerce platforms, etc. 

2. Python-based ML Algorithms

We use Python to develop machine learning (ML) applications because of its diverse frameworks and libraries. These frameworks support ML tasks like building models, processing data, and deploying algorithms. 

Examples of Python ML algorithms include:

  • Supervised learning algorithms for predicting patterns in data
  • Unsupervised learning algorithms for revealing hidden patterns or features in data
  • Reinforcement learning algorithms for rewarding or penalizing models for their performance.

3. Python migration (migration to python)

We have dedicated Python programmers who help businesses to migrate existing applications and websites to Python code without altering the underlying data.

Our full Python development team can also help with upgrading applications from one version of Python to another, e.g., from Python 2 to Python 3. 

4. IoT solutions powered by Python

We create and manage Internet of Things (IoT) solutions for businesses in different industries. Some of the IoT solutions that we can create with Python include: 

  • Smart home systems that control lighting, sound, heating, and cameras 
  • Data analytics solutions to track data from connected devices, e.g., wearables and sensors 
  • Artificial intelligence (AI) and machine learning (ML) integrations for object detection, face and voice recognition features in IoT devices. 

5. Python refactoring - unleash the full potential of your software ecosystem

Let our seasoned Python developers navigate the complexities of your existing codebase and untangling knots to optimize performance.

We believe in the power of clean, organized code as a catalyst for sustained success. 

6. Python API development

Your applications should always 'speak' a universal language.

In a world where seamless communication is the lifeblood of technological ecosystems, our expert Python developers craft APIs that transcend mere integration.

Examples of Python-powered products

Python has numerous use cases, from data science to workflow automation. This is why giants like Facebook, YouTube, Netflix, and Spotify use Python programming language. 

Here are some examples of products that we create with Python development: 

1. Virtual Assistants

Python virtual assistants are capable of numerous functions, including: 

  • Forecasting the weather
  • Launching websites on a desktop
  • Summarizing news content
  • Launching games, etc. 

These virtual assistants follow specific commands to perform tasks, which can be voice-based or text-based depending on preference. 

2. Online learning platforms

E-learning platforms like Anki, TIM, and DigiWiz are all built using the Python programming language. 

These platforms enable students and teachers to collaborate on their courses. Educators can upload course content, including video and audio files. Learners can enroll in courses and access materials on any device. 

3. Investment platforms

Python is playing a crucial role in creating investment platforms that monitor various accounts. Our developers can create custom dashboards, add features, and integrations between accounts. This presents new opportunities to understand stock portfolios and track investments. 

4. Lending apps

Finance companies can also use the Python programming language to automate various elements of lending, e.g., loan calculators, risk analysis, and loan approvals. 

This helps agents to make faster, more accurate decisions about which loan requests to approve or deny. 

6. Invoice automation

Our expert Python development team can create applications that streamline the invoicing process. These applications can extract invoice data from PDF documents, or automatically generate invoices from templates or Word documents. 

The typical Python tech stack  

The Python programming language is part of a web stack that has a suite of components for creating websites and applications. It is commonly featured in LAMP stacks (Linux, Apache, MySQL, Python). 

Below are the most common Python tech stack components that we use in a typical Python project:  

1. Webframes

Python webframes are packages that developers use to build websites. These include Django, Flask, and CherryPy. These webframes can build websites from scratch or customize templates. 

2. Databases

Python databases are collections of data that Python code can interpret and manipulate. Python integrates with popular databases like MySQL and PostgreSQL.

3. Libraries

Python libraries are pre-written blocks of code that can perform tasks like machine learning and data analysis. Some examples of Python libraries include Pandas, NumPy, and Matplotlib


IDES stands for integrated development environments. In Python programming, we normally use IDES for writing, testing, compiling, and debugging code. Some examples of Python IDES include PyCharm, Spyder, Thonny, and Visual Studio Code. 

5. CMS

A Python content management system (CMS) is an application that helps developers to create and manage digital content in Python language. Some examples of Python CMS are Wagtail, Mezzanine, and Kotti. 

6. Utilities

A Python utility is a pre-written code used for troubleshooting or problem-solving when creating Python applications. 

Python utilities can resolve the most common coding issues, e.g., input/output issues and timestamps. The most popular utility is the Python Standard Library that resolves challenges like modifying file systems. 

Key industries that rely on Python

Python engineers like our team here at Cognitive Clouds use Python to create applications that run critical functions across a diverse range of industries.

These are the common industries that are already using Python in a big way: 

1. Fintech

We use the Python language in fintech applications for tasks such as data analytics, stock trading, cryptocurrency, and banking. It is also popular for applications that manage risk and compliance requirements in the financial industry. Examples of applications that use Python include Paypal and Stripe. 

2. Healthcare

Python development is used in healthcare for machine learning (ML) applications. For example,we can create Python applications that can analyze medical images like x-rays and MRIs for diagnosis. They can also be used to automate hospital operations and analyze patient records. 

3. Retail

Python applications in the retail industry can support inventory management, recommendation systems, price optimization, and more. These applications streamline retail operations through automation and machine learning algorithms. Examples of retail platforms that use Python include Amazon and 

4. Travel

We also build Python-based applications that serve the travel industry in a big way. For example, we can create chatbots to help customers book flights and hotels, or recommend destinations. 

Let’s open your company's Python Chapter!

Looking to enhance business performance?  Our Python development solutions will improve your company’s operations, save costs, and help you discover insights from company data. Let’s discuss your project. 

Python Development FAQs

1. Where is Python most suitable to use?

Python language is general-purpose and versatile, so it can be used in a wide range of contexts. It is most commonly used for web development, data science, and machine learning. 

2. What are the key strengths of Python?

Python is user-friendly, open source, and can run on any operating system. It’s also versatile  across various domains, from web development to data science.

3. Which is better between Python and Java?

The choice between Python and Java depends on use cases. Python is ideal for web development and automation. Java is ideal for enterprise-level development and big data applications. 

4. How is Python useful for machine learning applications?

Python is the best fit for machine learning because of its simplicity in creation, flexibility in operating on various platforms and accessibility to great libraries plus frameworks.

5. Is Python compatible with other platforms?

Yes. The best part of incorporating this software is that it supports other operating systems and platforms. Since it is an interpreted programming language, it allows the running of existing code on multiple platforms and systems without the need to recompile it. That way we save a lot of development time as complexities are significantly reduced.

6. How can Python spur the growth of my business?

Python can boost business growth through automation, machine learning, and data analysis tools. These tools can empower your business to run more efficiently, and leverage company data for accurate decision-making.

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We partner with ambitious forward-looking companies to architect and develop awesome products with Python.

Have a Python project?

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