Java is a programming language that allows us to build web, desktop applications, and mobile applications for Android. It’s robust, easy to use, and has security features that make it a flexible solution for software development.

This technology lets us build scalable and efficient web applications. It’s also used to develop desktop apps, hybrid mobile apps, and even IoT solutions.

React.js is a JavaScript library used to build user interfaces. It improves the performance of high-load applications, allows the app to render pages faster, which means that your interface will be comfortable for users.

React Native is a cross-platform framework that allows developers to write one code for two mobile platforms — iOS and Android. It means that you only need one developer to create two applications, and it takes less time than native development.

Kotlin allows developers to write platform-specific code. Android apps built on Kotlin are faster, offer better user experience, and are less likely to crash. If you need a reliable Android application with high performance — Kotlin is your language of choice.

Swift is a programming language used to build iOS applications. It’s fast, safe, easy to maintain, and provides better user experience. Same as with Kotlin, you can’t reuse the code written in Swift to create an Android application.

Kubernetes is software used for automating deployment, scaling, and management of container applications. It helps to make applications run more stable, migrate solutions into the cloud, solve technical problems.

Docker is a technology that lets us build, test, and deploy applications quickly. With Docker, we can package software into containers that include everything the software needs to run. That’s why we can deploy and scale apps into any environment and make sure that the code will run.

Amazon Web Services is a cloud service provider that allows us to host applications quickly and securely. With AWS, we get access to a virtual environment that lets us load the software and services your application requires. It’s secure, cost-effective, and easy to use.

It’s the leading open-source computer vision library used for the analysis, classification, and processing of visual data. It’s cross-platform and supports Python, Java, and C++.

Tensorflow is an open-source platform for machine learning. It provides developers with an ecosystem of tools, libraries, and resources to build and deploy ML-powered applications.

It’s an open-source machine learning framework for Python. With PyTorch, our developers can process visual data to create highly accurate computer vision models.

In web3, developers don`t usually build and deploy apps that run on a single server or store data in a single database. Web3 applications can run on blockchains, decentralized networks of many servers, or a combination of them.

It’s a Bitcoin and other cryptocurrencies library for Python. It allows us to create and manage transactions, keys, wallets with simple Python code.