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Page 1983 of 2109
Downsides of Rust Programming Language
Every programming language has some downsides attached to it, it’s not all roses when it comes to Rust as well. Some of the noticeable downsides of Rust programming language are highlighted here −Compile TimeYes, compile time. Rust is fast, no doubt. But when it comes to compiling code, then it’s a bit slower as compared to its peer languages. The reason for its slow compile time is that its “unit of compilation” is not an individual file, it’s instead a whole package (known as a crate). Crates in Rust can include multiple modules, thus they can be large units of ...
Read MoreRust Programming Language – Big Features
Rust packs in plenty of features that you can use to build highly scalable and memory‑safe applications and software. But some of these features are overarching features of the language.Here are some of the big features of Rust programming language −PerformanceWe know that the speed of the CPU is fixed, thus for any software to run faster, it needs to do less. To achieve this, Rust pushes the severe burden of its high-level features onto the compiler. Also, it doesn’t need a garbage collectorto ensure the safety.Rust’s object methods are always dispatched statically, unless one specifies that dynamic dispatch is ...
Read MoreRust programming language – Applications
Rust is a multi-paradigm language that can be used in many areas of development. It serves the system programming as the main domain, which these days can even include the web browsers and other software, even if they are user interface ones.That being said, let’s look at the areas of application where Rust programming language shines.Application ExtendingRust has in-built extensions for different commonly used languages like C++, Python and Java. These extensions make it much easier to extend any application code to Rust and hence allowing the developers to make use of Rust’s memory safety and other features which make ...
Read MoreHow is Rust programming language used?
Rust has been adopted by large technology leaders and even startups.Rust just completed a decade and it can be fairly said that it has proven its ability to build powerful, reliable software. Recently it entered the Top 20 popular programming languages in the world.Some of the large technology leaders that have adopted Rust are as follows −Amazon Web Services (AWS) uses rust for performance-sensitive components of services mainly EC2, S3 and Lambda. Also, they sponsored the development of the language.Discord uses Rust in both the client-side and the server-side, mainly to achieve scalability for millions of concurrent users and keep ...
Read MoreHow can Tensorflow be used to download flower dataset into the environment?
The flower dataset can be downloaded using a google API that basically links to the flower dataset. The ‘get_file’ method can be used to pass the API as a parameter. Once this is done, the data gets downloaded into the environment.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?We will be using the flowers dataset, which contains images of several thousands of flowers. It contains 5 sub-directories, and there is one sub-directory for every class. We are using the Google Colaboratory to run the below code. Google Colab or Colaboratory helps run Python code ...
Read MoreHow to convert numeric columns to factor using dplyr package in R?
If we have a numeric column in an R data frame and the unique number of values in the column is low that means the numerical column can be treated as a factor. Therefore, we can convert numeric columns to factor. To do this using dplyr package, we can use mutate_if function of dplyr package.Loading dplyr package and converting numerical columns in BOD data set (available in base R) to factor columns −Examplelibrary(dplyr) str(BOD) 'data.frame': 6 obs. of 2 variables: $ Time : num 1 2 3 4 5 7 $ demand: num 8.3 10.3 19 16 15.6 19.8 - ...
Read MoreHow to sort a column of data.table object in ascending order using column name stored in a vector in R?
Sorting a column of data.table object can be done easily with column number but sorting with column name is different. If a column name is stored in a vector and we want to sort a column of data.table object in ascending order using this name then order function will be used with single and double square brackets as shown in the below examples.Loading data.table package and creating a data.table object −Examplelibrary(data.table) x1
Read MoreHow to create an integer64 vector in R?
The integer64 vector contains vector values that represents signed integers with values that range from negative 9,223,372,036,854,775,808 to positive 9,223,372,036,854,775,807. To create an integer64 vector, we can use as.integer64 function of bit64 package. The difference between integer64 vector and others is that a large number of values can be stored in the vector.Examplelibrary(bit64) x1
Read MoreHow to fix the lower value for X-axis in base R
To fix the lower value for X-axis in base R, we can use xlim argument in plot function. Mostly, we set the lower value to zero but it is not necessary it can be something else, either less than zero or greater than zero as well. If only lower value needs to be fixed then upper value will be set by using the max function as shown in the below example.Examplex
Read MoreHow to create a boxplot with log of the variable in base R?
To create a boxplot with log of the variable in base R, we need to use log argument within the boxplot function but we need to carefully pass the Y-axis inside the function because the values of the boxplot are plotted on the Y-axis. For example, if we have a vector called x then the boxplot of log of x will be created as boxplot(x,log="y").Examplex
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