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Practical Julia: A Hands-On Introduction for Scientific Minds
This Book provides a comprehensive introduction to the Julia programming language, designed particularly for scientists and engineers. It covers foundational concepts like data types, operators, control flow (loops and conditionals), and functions, along with more advanced topics such as multiple dispatch, metaprogramming, plotting, and working with various data structures. The text also explores Julia's application in specific scientific domains, including physics simulations (using Oceananigans and DifferentialEquations), statistics (with DataFrames and StatsPlots), biology (agent-based modeling), and signal/image processing, highlighting the language's composability and efficiency for numerical and scientific computing. It also touches on topics like unit handling (Unitful), symbolic mathematics (Symbolics and SymPy), and techniques for concurrency and parallelism.
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Get the Book now from Amazon:
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Discover our free courses in tech and cybersecurity, Start learning today:
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You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Practical-Julia-Lee-Phillips/dp/1718502761?&linkCode=ll1&tag=cvthunderx-20&linkId=79a161e0382d545ef973c1dc5f393d57&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
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By CyberSecurity Summary
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55 ratings
This Book provides a comprehensive introduction to the Julia programming language, designed particularly for scientists and engineers. It covers foundational concepts like data types, operators, control flow (loops and conditionals), and functions, along with more advanced topics such as multiple dispatch, metaprogramming, plotting, and working with various data structures. The text also explores Julia's application in specific scientific domains, including physics simulations (using Oceananigans and DifferentialEquations), statistics (with DataFrames and StatsPlots), biology (agent-based modeling), and signal/image processing, highlighting the language's composability and efficiency for numerical and scientific computing. It also touches on topics like unit handling (Unitful), symbolic mathematics (Symbolics and SymPy), and techniques for concurrency and parallelism.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Practical-Julia-Lee-Phillips/dp/1718502761?&linkCode=ll1&tag=cvthunderx-20&linkId=79a161e0382d545ef973c1dc5f393d57&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Practical-Julia-Lee-Phillips/dp/1718502761?&linkCode=ll1&tag=cvthunderx-20&linkId=79a161e0382d545ef973c1dc5f393d57&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
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