A practical guide for developing end-to-end serverless microservices in Python for developers, DevOps, and architects.
Master Python scripting to build a network and perform security operations
Gain a deeper understanding of JavaScript and apply it to build small applications in backend, frontend, and mobile frameworks.
An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms
Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis.
Set up complete CI and CD pipelines for your serverless applications using DevOps principles
Build, train, and deploy intelligent applications using Java libraries
Learn about cryptography and cryptocurrencies, so you can build highly secure, decentralized applications and conduct trusted in-app transactions.
Create simple to advanced shell scripts and enhance your system functionality with effective recipes
Blend the power of Qt with OpenCV to build cross-platform computer vision applications
Learn the pytest way to write simple tests which can also be used to write complex tests
Learn and understand the need to architect cloud applications and migrate your business to cloud efficiently
