Though your application serves its purpose, it might not be a high performer. Learn techniques to accurately predict code efficiency, easily dismiss inefficient solutions, and improve the performance of your application.
Key Features
Explains in detail different algorithms and data...
Leverage the power of Elixir programming language to solve practical problems associated with scalability, concurrency, fault tolerance, and high availability.
Key Features
Enhance your Elixir programming skills using its powerful tools and abstractions
See how privileges, passwords, vulnerabilities, and exploits can be combined as an attack vector and breach any organization. Cyber attacks continue to increase in volume and sophistication. It is not a matter of if, but when, your organization will be breached. Attackers target the perimeter network, but, in recent years,...
Take your Python machine learning ideas and create serverless web applications accessible by anyone with an Internet connection. Some of the most popular serverless cloud providers are covered in this book?Amazon, Microsoft, Google, and PythonAnywhere.
You will work through a series of common Python data science problems...
Thisvolumecontainstheinvitedandregularpaperspresentedat TCS 2010,the 6thIFIP International Conference on Theoretical Computer Science, organised by IFIP Tech- cal Committee 1 (Foundations of Computer Science) and IFIP WG 2.2 (Formal - scriptions of Programming Concepts) in association with SIGACT and EATCS. TCS 2010 was part of the World...
Algorithmic Number Theory provides a thorough introduction to the design and analysis of algorithms for problems from the theory of numbers. Although not an elementary textbook, it includes over 300 exercises with suggested solutions. Every theorem not proved in the text or left as an exercise has a reference in the notes section...
Probabilistic databases are databases where the value of some attributes or the presence of some records are uncertain and known only with some probability. Applications in many areas such as information extraction, RFID and scientific data management, data cleaning, data integration, and financial risk assessment produce large volumes of...
This book provides an overview of various application spheres and supports further innovations needed in information management and in the processes of knowledge generation. The professions, organizations and scientific associations involved are unusually challenged by the complexity of the data situation.
