Julia (Computer program language)

Beginning Julia programmingfor engineers and scientists / by: (Electronic resources)

Introduction to quantitative macroeconomics using Julia :from basic to state-of-the-art computational techniques / by: (Electronic resources)

Julia quick syntax referencea pocket guide for data science programming / by: (Electronic resources)

Julia - bit by bitprogramming for beginners / by: (Electronic resources)

Statistics with Juliafundamentals for data science, machine learning and artificial intelligence / by: (Electronic resources)

Algorithms with JULIAoptimization, machine learning, and differential Equations using the JULIA language / by: (Electronic resources)

Linear algebra for data science, machine learning, and signal processing / by: (Language materials, printed)

Internet modeling with Juliamodels, algorithms and programs / by: (Electronic resources)

Julia quick syntax referencea pocket guide for data science programming / by: (Electronic resources)

Julia programming for physics applications by: (Electronic resources)

Mathematical Logic and Formal Languages.

Computer algorithms.

Mathematics of Computing.

Physics

Programming Language.

Computational Physics and Simulations.

Programming Techniques.

Professional Computing.

Data Structures.

Matrices

Programming Languages, Compilers, Interpreters.

Programming languages (Electronic computers)

Big Data.

Data Mining and Knowledge Discovery.

Probabilities

Statistics for Business, Management, Economics, Finance, Insurance.

Internet programming.

Mathematical and Computational Engineering Applications.

Julia (Computer program language)

Artificial Intelligence.

Algebras, Linear

Machine learning

Computer Science.

Java.

Mathematical Software.

Probability and Statistics in Computer Science.

Signal processing

Computer Hardware.

Theoretical, Mathematical and Computational Physics.

Macroeconomics

Computer programming.

Statistics

Compilers and Interpreters.

Physics and Astronomy.