Julia Programming Tutorials
Object Relational Mapping (ORM) is a powerful technique that bridges the gap between object-oriented programming languages and relational databases. It simplifies the work of developers when dealing with SQL related databases, making it easier. Jorm.jl is a simple ORM tool designed to simplify interactions between Julia applications and relational databases. This article will delve into what Jorm.jl is, …
CRUD – Create, Read , Update and Delete is an important concept to master and know for building most applications. In this tutorial we will explore how to build a simple CRUD API in Julia using the Oxygen Framework – which is like the Flask equivalent in Julia. Oxygen.jl is a Julia package for building …
Oxygen.jl is a simple microframework that is quite useful for creating web apps and APIs in Julia. In my opinion, it is like the Flask of Julia as GenieFramework.jl is like the Django of Julia. Since it is quite new( Sept 2023), it does not yet have support for using Jinja – a templating engine …
How to Use Jinja-Like Syntax in Julia Web Apps with Oxygen.jl Read More »
Julia unlike Python or Go Lang does not have a lot of packages for building web applications. In Python, there are several popular battle tested web frameworks for building web applications such as Django, Flask, FastAPI, Tornado, Bottle, CherryPy, Streamlit, etc. Golang also has several packages for web programming. However in Julia we have a …
Julia is an exciting and fascinating programming language like Python and R and Go. It offers several benefit if you are into scientific computing and Datascience. In this tutorial we will explore how to develop and publish Julia Packages. We will using this simple workflow for designing our package. This describes everything that we will …
How to Develop and Publish Julia Packages For Beginners Read More »
One of the most common tools used by most Data Scientists when doing a project is a Jupyter Notebook – which can be used primarily with Julia (the Ju in JUpyter) Python (the Pyt In JuPYTer) and R (the R in the JupyteR). It quite useful and has a large community. Let us see another …
In this tutorial we will be doing a simple data analysis of the coronavirus outbreak or pandemic using the Julia Programming language. We will start with fetching the dataset and then do a simple data preparation before continuing with our data analysis. We will be fetching our dataset directly from github( John Hopkins Repo) . …