Go

Build fast, robust, and maintainable modern full-stack web applications using MongoDB, Express, Angular, and Node.js.

Leverage the power of MongoDB 4.x to build and administer fault-tolerant database applications

This quick start guide will bring the readers to a basic level of understanding when it comes to the Machine Learning (ML) development lifecycle, will introduce Go ML libraries and then will exemplify common ML methods such as Classification, Regression, and Clustering

Infuse an extra layer of intelligence into your Go applications with machine learning and AI

Explore Golang's data structures and algorithms to design, implement, and analyze code in the professional setting

Explore the fundamentals of systems programming starting from kernel API and filesystem to network programming and process communications

Understand the principles of software architecture with coverage on SOA, distributed and messaging systems, and database modeling

Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras

Discover Golang's GUI libraries such as Go-GTK (GIMP Toolkit) and Go-Qt and build beautiful, performant, and responsive graphical applications

Create a real-world application in Go and explore various frameworks and methodologies for full-stack development

Explore various dependency injection methods in Go such as monkey patching, constructor injection, and method injection

Understand basic-to-advanced deep learning algorithms, the mathematical principles behind them, and their practical applications

Design and implement professional level programs by exploring modern data structures and algorithms in Rust.

Learn to implement complex data structures and algorithms using Python

Understand and solve complex computational problems and write efficient code with Kotlin