This list helps you build a solid theoretical foundation and follow a practical approach to learning all the techniques and concepts you need to become a full-fledged data scientist. It features books that contains intuitive explanations and working examples to take you deeper into your Python machine learning journey. The books cover core machine learning algorithms and teaches the principles behind machine learning to help you build models and applications confidently. You will also discover expert techniques and best practices for fine-tuning and understanding the working mechanism of each model. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nunc id felis dictum mi sollicitudin dignissim nec vitae nibh. Maecenas rutrum urna eget risus elementum, vel ultricies elit varius. Curabitur in pellentesque odio, at tincidunt ipsum. Sed condimentum hendrerit nulla, ut dignissim mi malesuada eu. Nullam mattis enim nec sapien vulputate convallis. In gravida blandit auctor. Curabitur velit tellus, sagittis non scelerisque cursus, eleifend eget turpis. Aenean hendrerit condimentum dui. Donec nec elit nec augue elementum cursus ut a diam. Sed iaculis elit sem, eget tempus odio feugiat non. Aliquam erat volutpat. Phasellus ut metus egestas, posuere lorem id, ultricies odio. Praesent facilisis neque ut sapien interdum, vel ultricies augue rhoncus. In maximus pretium ullamcorper. In vel urna turpis. Ut id massa rutrum sapien consequat convallis non nec est. Donec euismod malesuada arcu, at condimentum ipsum interdum nec. Curabitur rutrum nisl eget tincidunt faucibus. Maecenas aliquam nisl ut odio condimentum, non pharetra lorem ultrices. Nunc massa velit, eleifend vel ultricies non, ornare et augue. Quisque sollicitudin nunc sit amet varius tincidunt. Nullam aliquet auctor augue, eget aliquet urna aliquam et. Pellentesque sit amet purus mauris.

This reading list will help you understand the fundamentals and core techniques of algorithmic trading in financial markets using real-world examples. You will learn to apply various algorithms to market data and analyze results which will help you to build and deploy your algorithmic trading systems and strategies using Python. You will also learn how to implement machine learning algorithms to apply predictive modeling to trading decisions. Reading the books covered in this list will give you confidence to implement and safely operate algorithmic trading strategies in live markets.

An enjoyable and intuitive approach to getting started with C# programming and Unity game development. This reading list will help you build a solid foundation in Unity and discover techniques to create impressive 2D/3D games, cross-platform mobile games and Virtual Reality applications.

Whether you're just out of college and are looking to begin your career in software or want to switch to a new role, this curated list will enable you to approach and solve interview questions with confidence. Whether you have experience in Java, Python, or C++, you'll be equipped to answer interview questions with logical answers.

This reading list will help you level up your AWS skills to efficiently build, automate, and manage your applications and infrastructure on the most popular cloud platform - AWS. You'll learn everything from cloud computing and development through to cloud networking, DevOps, high availability, and security. The books in this reading list will not only get you up to speed with AWS services and features, but will also help you acheive core AWS certifications to level up your career.

This curated reading list is for anyone interested in learning how to hack, test, and evaluate enterprise defenses. It starts with teaching you how to practice hacking legally and gets you up and running with performing intermediate-level penetration testing in a controlled environment. This list will give you a comprehensive understanding of exploiting common web application vulnerabilities and securing cloud environments. Throughout the reading list, you'll leverage open source pentesting tools such as Kali Linux, Metasploit, Burp Suite, and more.

Statistics show that Java powers over half of the world's software applications, and with the recent advancements to the language and ecosystem, developers can easily build robust and highly scalable applications on the cloud. This reading list enables existing Java developers to take their skills to the next level and take advantage of the elasticity of the cloud to build scalable apps. You'll learn all you need to know about developing resilient microservices-based apps, taking both cloud-native as well as serverless approaches.

This reading list will help you take your .NET development skills to the next level and develop professional applications that are robust, secure, and clean. If you're an existing .NET developer looking to learn how to write clean code and maintainable applications for various domains using tried and tested techniques, then this list will help you achieve your goals.

This reading list will give you a comprehensive introduction to help you get you up and running with Angular in no time. The books oovered in the list also focuses on full stack approach with ASP.NET Core to handle data management, Web APIs, application design, testing, SEO, security, and deployment

This reading list is curated for those who want to enter the realm of DevOps but don't know where to begin. Starting with the basics of DevOps, this list gradually increases complexity, helping you become well-versed with DevOps tools such as Docker, Kubernetes, Jenkins, Ansible, GitLab, Prometheus, and Terraform. You will also develop a comprehensive understanding of DevOps on AWS and Azure Cloud.