Best Julia Programming Guides to Buy in January 2026
Think Julia: How to Think Like a Computer Scientist
Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages
Julia Programming for Operations Research
Ultimate Parallel and Distributed Computing with Julia For Data Science: Excel in Data Analysis, Statistical Modeling and Machine Learning by ... Programming — Parallel Systems Path)
Julia - Bit by Bit: Programming for Beginners (Undergraduate Topics in Computer Science)
Algorithms with JULIA: Optimization, Machine Learning, and Differential Equations Using the JULIA Language
Practical Julia: A Hands-On Introduction for Scientific Minds
Julia Programming Projects: Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web
Mastering Julia: From Basics to Expert Proficiency
Advanced Julia Programming: Comprehensive Techniques and Best Practices
To get the datatype of a variable in Julia, you can use the typeof() function. For example, if you have a variable x and you want to know its datatype, you can simply call typeof(x). This will return the datatype of the variable x, which can be any of the primitive datatypes such as [Int64](https://elvanco.com/blog/what-are-int8-int64-and-string-in-postgresql), Float64, String, etc. You can also use the typeof() function to get the datatype of an expression or a value by passing it as an argument to the function.
How to get datatype in Julia for booleans?
In Julia, you can get the datatype for booleans using the typeof() function.
For example, to get the datatype for a boolean variable b, you can use the following code:
b = true println(typeof(b))
This will output Bool, which is the datatype for booleans in Julia.
What is the output of getting datatype in Julia?
In Julia, the output of getting the datatype of a variable or value is the type of the variable or value. For example, if you have a variable x with the value 5, using the typeof() function will output Int64, indicating that x is an integer of 64 bits.
How to get datatype in Julia for ranges?
In Julia, you can use the eltype() function to get the data type of elements in a range. Here is an example:
r = 1:10 data_type = eltype(r) println(data_type)
This will output the data type of the elements in the range 1:10, which is Int64 in this case.
You can also specify the data type when creating a range by using the :: syntax. For example:
r = 1:10::Float64 data_type = eltype(r) println(data_type)
This will output Float64 as the data type of elements in the range 1.0:10.0.