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5 min readIn Julia, passing nested vectors (arrays of arrays) to the GPU can be achieved using the CuArray type from the CUDA.jl package.First, make sure you have the CUDA.jl package installed by running using Pkg; Pkg.add("CUDA") in the Julia REPL.Next, you can create a nested vector in Julia and convert it to a CuArray object using the CUDA.jl package.
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3 min readTo write a BigInt to a file in Julia, you first need to open a file in write mode using the open function. Then, you can use the println function to write the BigInt value to the file. For example: big_num = BigInt("123456789012345678901234567890") file = open("output.txt", "w") println(file, big_num) close(file) This code snippet creates a BigInt variable called big_num, opens a file named "output.
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3 min readIn Julia, you can check if a function exists without running it by using the @isdefined macro. You can pass the function name as an argument to this macro to check if the function has been defined in the current scope. If the function exists, the macro will return true, otherwise it will return false. This is a useful way to check if a function is available before attempting to run it, which can help prevent errors in your code.
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3 min readTo read a gzipped xlsx file in Julia, you can use the following steps:First, you need to install the required packages in Julia. You can do this by using the Pkg package and running the following commands: using Pkg Pkg.add("XLSX") Pkg.
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4 min readIn Julia, you can create a 2D array of strings by using an array comprehension. You can initialize an empty 2D array and then fill it with strings using nested loops.
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3 min readTo create an empty tuple of a specific type in Julia, you can use the Tuple{T} constructor, where T is the type you want the tuple to contain. For example, to create an empty tuple of integers, you can do: empty_tuple = Tuple{Int}() This will create an empty tuple that can only contain integers.
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6 min readIn Julia, you can easily call one function from another function by simply typing the function name followed by the arguments in parentheses.
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3 min readTo load a PNG image as an array in Julia, you can use the Images package. First, you need to install the package by running using Pkg; Pkg.add("Images").Then, you can use the load function from the Images package to load the PNG image as an array: using Images image_array = load("image.png") This will load the PNG image as an array where each element represents a pixel in the image. You can now manipulate the image data using the array in Julia.
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4 min readTo get data of a Python code into a Pandas dataframe, you can start by importing the Pandas library. Then, you can create a Pandas dataframe by using the pd.DataFrame() function and passing your data as a parameter. You can convert a list of dictionaries, a list of lists, or a dictionary of lists into a Pandas dataframe. Once you have created the dataframe, you can perform various operations on the data, such as filtering, sorting, grouping, and visualization.
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4 min readTo remove unwanted dots from strings in a pandas column, you can use the str.replace() method in pandas. First, select the column containing the strings with unwanted dots. Then, use the str.replace() method to replace the dots with an empty string.For example, if you have a pandas DataFrame named df with a column named column_name containing strings with unwanted dots, you can remove the dots by running the following code: df['column_name'] = df['column_name'].str.replace('.
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7 min readTo loop through each row of a pandas dataframe, you can use the iterrows() method. This method returns an iterator that yields index and row data as a Series. You can then iterate over this iterator and access the values in each row using key-value pairs. Here's an example: import pandas as pd # Create a sample dataframe data = {'A': [1, 2, 3], 'B': [4, 5, 6]} df = pd.DataFrame(data) # Loop through each row of the dataframe for index, row in df.