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The book captures the essence of the International Conference on Data... Læs mere
This book is a comprehensive guide suitable for beginners and experienced developers alike. It teaches readers how to master object-oriented programming (OOP) with Python and use it in real-world applications.
Since the first edition of “Data Science and Analytics with Python” we have witnessed an unprecedented explosion in the interest and development within the fields... Læs mere
Unlock the power of data analytics in finance with this comprehensive guide. 'Data Analytics for Finance Using Python’ is your key to unlocking the secrets of the financial markets. In this book, you'll discover how to harness the latest data analytics techniques.
This is a core resource for students and instructors of machine learning and data science looking for beginner-friendly material which offers real-world applications and takes ethical discussions into account.
This text presents innovative research-oriented ideas, and the implementation and socio-economic applications of internet of things-based network. It showcases smart waste management, optical technologies for internet of things, and remote patient monitoring and data analysis.
Build, maintain, and run databases that are easy to scale and quick to query—all with ScyllaDB.
Build stable, maintainable Rust applications by applying these important code and architectural design patterns.
For programs that need to be small, fast, and unfailingly reliable, C is still the gold standard. Whether you're writing embedded code, low-level system routines, or... Læs mere
After you've crunched, sliced, and organized your data behind the scenes, you need to present it in a way that tells a story. With Python's Altair library and generative AI tools like Copilot and ChatGPT, it's never been easier to create intuitive data presentations.