We master the Julia language. Improving skill in analytics and programming
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Improving skill in the field of analytics and programming using Julia in order to solve the problems of complex data processing.
Julia is a well -structured programming language with great speed that eliminates the classic problem of analysis in one language and broadcasting its results into the second in order to increase performance. This book will help you develop and improve your Julia programming skills to solve automation problems that arise in real life.
The book begins with the installation and execution of Julia in different operating environments. Further, different methods of working with the language, its key functionality are described, practical examples are checked by step. The work of Julia with external processes is considered, thanks to which there is a significant improvement in the quality of visualization of graphs and data. Metaprogramming that forms the network and distributed computing environment of the language is not deprived of attention.
What will you learn by reading this book:
- Install the development environment and perform its assembly and configuration for your operating system,
- create projects in the field of data science as part of the full cycle of ETL, analysis and visualization of data,
- Understand the system of types and principles of multiple dispatching to obtain more return from programming,
- interact with files and tables of data in order to study simple statistical and analytical indicators,
- display graphs and visual data in order to conduct imitation modeling on Julia,
- Use Julia to interact with databases SQL and NOSQL,
Julia is a well -structured programming language with great speed that eliminates the classic problem of analysis in one language and broadcasting its results into the second in order to increase performance. This book will help you develop and improve your Julia programming skills to solve automation problems that arise in real life.
The book begins with the installation and execution of Julia in different operating environments. Further, different methods of working with the language, its key functionality are described, practical examples are checked by step. The work of Julia with external processes is considered, thanks to which there is a significant improvement in the quality of visualization of graphs and data. Metaprogramming that forms the network and distributed computing environment of the language is not deprived of attention.
What will you learn by reading this book:
- Install the development environment and perform its assembly and configuration for your operating system,
- create projects in the field of data science as part of the full cycle of ETL, analysis and visualization of data,
- Understand the system of types and principles of multiple dispatching to obtain more return from programming,
- interact with files and tables of data in order to study simple statistical and analytical indicators,
- display graphs and visual data in order to conduct imitation modeling on Julia,
- Use Julia to interact with databases SQL and NOSQL,
Author:
Author:Sherrington Malcolm
Cover:
Cover:Soft
Category:
- Category:Computer & Technology
- Category:Science & Math
ISBN:
ISBN:978-5-97060-370-3
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