Unlock the Power of Python for Web Development, AI, IoT.

Key takeaways

Python is a versatile and easy-to-learn language, highly favored by web developers for its ability to handle complex tasks such as AI, machine learning, IoT, and data science. With its extensive libraries and frameworks, Python supports scalable and flexible web applications, including CMS, ecommerce platforms, and social media apps like Instagram, Spotify, and Dropbox. It also excels in data science, providing tools for data collection, visualization, and predictive analysis, powering major platforms like Netflix, Uber, and Amazon. Python’s strong API development capabilities and frameworks like Django REST, Flask, and FastAPI make it a top choice for building and integrating APIs. The language’s frameworks for AI and machine learning, such as TensorFlow, Keras, and scikit-learn, are used to develop sophisticated applications like Tesla Autopilot and Amazon Alexa. Additionally, Python is ideal for cloud-based and IoT app development, with popular applications like NASA’s cloud solutions and the Raspberry Pi automation systems being built using Python. Its flexibility and support for rapid development make Python a go-to language for creating cutting-edge, data-driven applications.

Did you know that approximately 49% of the web developers in the world use python technology for developing apps that operate on AI, machine learning, and IoT? Due to its simplicity and versatility, it has become very popular for developing advanced software solutions.

Having a vast collection of libraries and frameworks, python is popularly used for custom software development solutions. Let’s check out the scope of what you can avail with python libraries and frameworks.

Web Application Development

Progressive web applications, that are responsive to mobile phones, tablets, and web browsers require custom backend development. If you require scalable and flexible apps that can efficiently handle immense data, then python is your solution for all kinds of apps. These include the following:

Content management systems
Ecommerce platforms
Social media apps
Data-driven platforms
Financial portals
Media streaming apps
Science & research related platforms

Popular web apps made on python:

Instagram
Spotify
Dropbox
Pinterest
Reddit
Quora

Data Science and Analytics

Python has an extensive collection of libraries, machine learning frameworks, data visualization tools, and integration capabilities that make it simple and convenient to manage data collection, integration, analysis, and management. Here’s what its data science development capabilities include:

Data collection from databases and APIs
Removing data inconsistencies and handling missing data
Data visualization through dashboards, charts, and graphs
Statistical analysis of patterns, trends, and correlations
Predictive analysis through machine learning models
Managing and analysing big data
Building business intelligence dashboards

Popular data science and analysis solutions made with python:

Netflix
Uber
Airbnb
Google Analytics
Meta
Amazon

API Development & Integration

API or application programming interface is a set of protocols that facilitate the exchange of data between two software, systems, or microservices. Python has frameworks like Django REST, Flask, and FastAPI to facilitate API creation. Its scalability, integration support, built-in security features, and modular structure further make it simpler to develop APIs.

Popular apps that use python for API solutions:

Stripe
Twilio
OpenAI
YouTube Data
Mozilla Firefox
Bitly

AI & Machine Learning

Python is filled with libraries and frameworks that are specially meant to create AI and machine learning algorithms. Some of the most popular AI and machine learning apps have been made on these python frameworks. Following are some of the frameworks of python that developers use for machine learning and AI development:

TensorFlow
Keras
scikit-learn
PyTorch
Pandas
NumPy

Popular AI and machine learning algorithms made on python:

AlphaGo by DeepMind
IBM Watson
Tesla Autopilot
Cortex
Amazon Alexa
RankBrain by Google

Cloud-Based App Development

Most data-driven apps store data on cloud servers due to its extended capacity to handle massive data. Python has frameworks and libraries that help to interact with AWS, Google Cloud Platform services, and Microsoft Azure services. Its cross-platform compatibility, integration capabilities, automation and scripting capabilities, and data handling libraries further help in integrating apps with cloud servers.

Popular apps that use python for cloud storage:

NASA
Mega
iCloud
Backblaze
Wasabi
pCloud

IoT App Development

Since IoT largely involves usage of AI, machine learning, and cloud storage solutions, python is an ideal language for developing these apps. Additionally, it has libraries and frameworks to simplify sensor control, data collection, and communication in IoT systems. Its cross-platform compatibility, fast prototyping capability, and strong data analytical tools further make it more efficient for developing IoT solutions.

Popular IoT solutions made on python:

Raspberry Pi Home Automation Systems
Nest Thermostat
Philips Hue Smart Lighting System
FitBit
Smart sensors and industrial automation systems by Bosch
MindSphere by Siemens

Which Python Development Solutions are You Looking for?

Python is primarily popular due to its ease and flexibility of use. It is responsible for the most advanced technologies being used that have changed the way the world works. In other words, the software you can build with python can be revolutionary. Do you aim to build something like that? If yes, then all you need is a good python developer.