Potado is a Python development company that develops web apps and API's for Singapore companies and brands. We are a well rounded team that does much more than just develop apps. We know business strategy and we know design. Our team consists of product managers, UX designers and web app developers who come together to deliver world class products to our clients.
As experts in the Singapore software development market we know what defines a successful project. We have seen it all. After partnering with all teams from early stage startups to large companies, and tagging along for the journey, we have seen the things that work and the things that don't and we share all those insights with our clients.
Technology is one of the most exciting things in modern day society, but also one of the toughest to stay up to date with. Technology progresses as speeds most of us simply cannot keep up with, so our team takes the time to follow the emerging technology and design trends and educate ourselves to be knowledgeable and productive with those technologies. As technology progresses, new design principles are released to keep up with those platforms and any good designer knows the importance of keeping up to date with the latest design rules. We also study people and how they use apps in order to know what is the simplest and most efficient way to design a feature.
At Potado, we offer a wide range of Python development services to cater to your business needs. Our services include:
Python is a popular programming language that is known for being easy to lear, simple to use, and versatile. The language is high-level which means it's syntax is easily readable by humans and object-oriented which means it's based around data. That's one of the reasons Python is so popular when it comes to scientific calculations. It's the most popular language in science, finance, as well as AI and machine learning, but it is also commonly used for developing web applications using the Django framework.
The language has a massive community especially in the machine learning field so the number of libraries available to python develops is one of the top benefits of using Python. For any machine learning application there is going to be a need to use these libraries to integrate some functions into the application. Similarly to machine learning, fields like data science, data analytics, and data visualization rely on the Python programming language because of how good it is at manipulating data, no matter how large the dataset is. There is also really good visualization libraries available in Python which allows developers to easily plot graphs and tables using the data. Finance is a field that relies on many calculations and data visualizations to make predictions and Python is a great fit for this as well.
Python is also used to develop applications and games, but it is very popular for developing web applications. The Django framework is especially popular, but and Flask is also used. These frameworks make it easy for developers to build application for the web.
Django is a high-level web framework that follows the model-view-controller (MVC) architectural pattern. It includes features like an ORM, URL routing, templating engine, and automatic admin interface.
Flask is a lightweight web framework that provides developers with the flexibility to build custom web applications. It offers extensions for database integration, session management, and other features.
A popular Python library for web scraping that makes it easy to parse HTML and XML documents.
A fast and powerful web scraping framework that allows you to easily extract data from websites.
A tool that allows you to automate web browser interaction, making it ideal for scraping websites that require user interaction.
A Python library that makes it easy to send HTTP requests and handle responses, making it an ideal tool for web scraping.
A library for scientific computing that includes support for large, multi-dimensional arrays and matrices.
A library for data manipulation and analysis that includes tools for handling data in tabular and time series formats.
A machine learning library that includes tools for classification, regression, clustering, and dimensionality reduction.
An open-source platform for building and deploying machine learning models that includes support for deep learning.
A high-level neural networks API that runs on top of TensorFlow, making it easier to build and experiment with deep learning models.
An open-source machine learning library that provides dynamic computation graphs and automatic differentiation, making it popular for deep learning research.
Having a defined process is essential for any software development project. It helps you have a clear understanding of the time and progress so you can plan your launch and marketing strategy accordingly. It's also just a lot nicer to have transparency when working with a python developer. We understand that, so we make sure we involve our clients as much as they want to be. Here a quick rundown of our development process from start to finish.
The first step is to discuss the project and get a full understanding of the requirements so we can understand how people will use the project and what kind of users there will be. This is important when planning how to design an interface that works for the target audience.
We will not draw up some sketches to plan the app structure, features and screens. You will then work with us to make sure we include all the intended functionality with a great user experience.
Next it's up to our designers to put together the user interface designs. This is how the app or website will actually look and they are drawn up using Figma, Sketch or Adobe XD.
Next up is the actual development. This is the core part of the process where big things happen. Our python developers will take the designs and turn them into a usable application. Because we put an emphasis on good planning, the development stage is smooth as we know exactly how to approach it. This leads to a well engineered product completed on time.
Once the project has been developed we will begin testing it both internally and with your team. Once we are happy we will host the app on the cloud or integrate it into your current system depending on the specific goal of the project.
If you're looking to start developing your app or website in Singapore with Python, feel free to reach out and our team of product specialists, and design experts will be more than happy to help your company develop a software product that will impress your users and customers and keep then coming back for me. We've worked with 1000's of happy clients and this is what some of them had to say:
"We had a web project that was built using Python and Django and needed a developer to push some updates with us. We decided to work with Potado because of their proven track record. We will be working with them long term for all future updates."
"We wanted a team to develop a cloud based API with AI and machine learning to upgrade our mobile app experience for users. Potado developed the app using Python and Tensorflow and also helped us integrate it into our application. The process was smooth, transparent, and easy."