How do dictionaries work in Julia?

This recipe explains how do dictionaries work in Julia.

Recipe Objective: How do Dictionaries work in Julia?

This recipe explains how do Dictionaries work in Julia.
For more related projects-
Project 1
Project 2

Dict() Method

A dictionary is a collection of key-value pairs, where each value in the dictionary corresponds with a key. Dictionary is similar to an array, but in a dictionary, the indices can be of any type, while in an array, the indices are of only integer type only. Its syntax is Dict{key, val}("key1" => val1, "key2" => val2, ...)

Explore the Real-World Applications of Recommender Systems

d1 = Dict()
println(d1)

d2 = Dict("x" => 3, "y" => 2, "z" => 1)
println(d2)

d3 = Dict{String, Integer}("z" => 10, "x" => 20)
println(d3)

What Users are saying..

profile image

Anand Kumpatla

Sr Data Scientist @ Doubleslash Software Solutions Pvt Ltd
linkedin profile url

ProjectPro is a unique platform and helps many people in the industry to solve real-life problems with a step-by-step walkthrough of projects. A platform with some fantastic resources to gain... Read More

Relevant Projects

Learn How to Build a Linear Regression Model in PyTorch
In this Machine Learning Project, you will learn how to build a simple linear regression model in PyTorch to predict the number of days subscribed.

Hands-On Approach to Master PyTorch Tensors with Examples
In this deep learning project, you will learn how to perform various operations on the building block of PyTorch : Tensors.

Time Series Forecasting Project-Building ARIMA Model in Python
Build a time series ARIMA model in Python to forecast the use of arrival rate density to support staffing decisions at call centres.

MLOps Project to Build Search Relevancy Algorithm with SBERT
In this MLOps SBERT project you will learn to build and deploy an accurate and scalable search algorithm on AWS using SBERT and ANNOY to enhance search relevancy in news articles.

Build a Collaborative Filtering Recommender System in Python
Use the Amazon Reviews/Ratings dataset of 2 Million records to build a recommender system using memory-based collaborative filtering in Python.

Hands-On Approach to Causal Inference in Machine Learning
In this Machine Learning Project, you will learn to implement various causal inference techniques in Python to determine, how effective the sprinkler is in making the grass wet.

Build Deep Autoencoders Model for Anomaly Detection in Python
In this deep learning project , you will build and deploy a deep autoencoders model using Flask.

MLOps Project to Deploy Resume Parser Model on Paperspace
In this MLOps project, you will learn how to deploy a Resume Parser Streamlit Application on Paperspace Private Cloud.

Medical Image Segmentation Deep Learning Project
In this deep learning project, you will learn to implement Unet++ models for medical image segmentation to detect and classify colorectal polyps.

Build an Image Classifier for Plant Species Identification
In this machine learning project, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.