https://breadrolljs.vercel.app/_next/static/chunks/pages/changelog-9cc4bd30545d1769.js

1(self.webpackChunk_N_E=self.webpackChunk_N_E||[]).push([[477],{8630:function(e,r,s){(window.__NEXT_P=window.__NEXT_P||[]).push(["/changelog",function(){return s(2990)}])},2990:function(e,r,s){"use strict";s.r(r),s.d(r,{__toc:function(){return o},default:function(){return d}});var n=s(5893),a=s(2673),t=s(2643),i={src:"/_next/static/media/breadroll-0.5.0.3c0182e8.png",height:1185,width:2094,blurDataURL:"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAgAAAAFCAMAAABPT11nAAAABlBMVEUFBQUVFhgfjRskAAAACXBIWXMAACE4AAAhOAFFljFgAAAAFUlEQVR4nGNgQAaMYAIMwAyYEBQAAAEGAAutCc8OAAAAAElFTkSuQmCC",blurWidth:8,blurHeight:5},l={src:"/_next/static/media/breadroll-0.4.0.0806194c.png",height:790,width:1396,blurDataURL:"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAgAAAAFCAMAAABPT11nAAAAElBMVEUDAgIUFRcxNj8LCwwmKCuSkpKG6G8KAAAACXBIWXMAABYlAAAWJQFJUiTwAAAAI0lEQVR4nCXEsQHAQBACINTL/iuneAr0QjuzLC3uO2LSwJsfBf0ANlGGSa8AAAAASUVORK5CYII=",blurWidth:8,blurHeight:5};let o=[{depth:3,value:"0.5.0",id:"050"},{depth:3,value:"0.4.0",id:"040"},{depth:3,value:"0.3.7-alpha",id:"037-alpha"},{depth:3,value:"0.3.6-alpha",id:"036-alpha"},{depth:3,value:"0.3.1",id:"031"},{depth:3,value:"0.3.0",id:"030"},{depth:3,value:"0.2.0",id:"020"},{depth:3,value:"0.1.3",id:"013"},{depth:3,value:"0.1.0",id:"010"}];function c(e){let r=Object.assign({h3:"h3",p:"p",img:"img",strong:"strong",ul:"ul",li:"li",a:"a",code:"code",hr:"hr",pre:"pre",span:"span"},(0,t.a)(),e.components);return(0,n.jsxs)(n.Fragment,{children:[(0,n.jsx)(r.h3,{id:"050",children:"0.5.0"}),"\n",(0,n.jsx)("small",{className:"mb-5 block",children:"May 22, 2024"}),"\n",(0,n.jsx)(r.p,{children:(0,n.jsx)(r.img,{placeholder:"blur",src:i})}),"\n",(0,n.jsxs)(r.p,{children:["breadroll is now in ",(0,n.jsx)(r.strong,{children:"public beta"}),". We are super excited to see breadroll in the wild and even more excited to see contribution from the future breadroll community. So many thing are packed into the new breadroll. We have leveraged TypeScript's static typing to prevent data-related runtime errors, improved developer experience, improved API design, and added a few more powerful methods."]}),"\n",(0,n.jsxs)(r.ul,{children:["\n",(0,n.jsxs)(r.li,{children:["\n",(0,n.jsxs)(r.p,{children:["A brand new parser experience utilizing ",(0,n.jsx)(r.a,{href:"https://github.com/mafintosh/csv-parser",children:"mafintosh/csv-parser"})," via ",(0,n.jsx)(r.a,{href:"https://github.com/sindresorhus/neat-csv",children:"sindresorhus/neat-csv"})," see the former for the default behavior of the parser."]}),"\n"]}),"\n",(0,n.jsxs)(r.li,{children:["\n",(0,n.jsxs)(r.p,{children:["Now breadroll Dataframes have types; assign types by using the ",(0,n.jsx)(r.code,{children:".open"})," methods like so; ",(0,n.jsx)(r.code,{children:"Breadroll.open.local<T>()"})," or directly like so; ",(0,n.jsx)(r.code,{children:"new Dataframe<T>()"})]}),"\n"]}),"\n",(0,n.jsxs)(r.li,{children:["\n",(0,n.jsx)(r.p,{children:"We added more methods to the Dataframe class"}),"\n",(0,n.jsxs)(r.ul,{children:["\n",(0,n.jsx)(r.li,{children:(0,n.jsx)(r.code,{children:".concat"})}),"\n",(0,n.jsx)(r.li,{children:(0,n.jsx)(r.code,{children:".merge"})}),"\n",(0,n.jsx)(r.li,{children:(0,n.jsx)(r.code,{children:".shape"})}),"\n",(0,n.jsx)(r.li,{children:(0,n.jsx)(r.code,{children:".tail"})}),"\n",(0,n.jsx)(r.li,{children:(0,n.jsx)(r.code,{children:".toNumber"})}),"\n"]}),"\n"]}),"\n",(0,n.jsxs)(r.li,{children:["\n",(0,n.jsxs)(r.p,{children:["We modified the ",(0,n.jsx)(r.code,{children:"Breadroll.open"})," methods to have a dedicated seperator or delimiter function parameter, this way we reduce the number of instances need to open multiple file with different formats; eg. ",(0,n.jsx)(r.code,{children:'Breadroll.open.local<T>("./path/to/file.csv", ",")'}),"."]}),"\n",(0,n.jsxs)(r.p,{children:["This simply means we've moved the delimiter from ",(0,n.jsx)(r.code,{children:"Breadroll.DataframeReadOptions"})," to each individual method."]}),"\n"]}),"\n",(0,n.jsxs)(r.li,{children:["\n",(0,n.jsxs)(r.p,{children:["breadroll being in public beta means you get to build the future of breadroll, want to fix a bug, request a feature, improve testing; now is the time - take a quick glance on how to ",(0,n.jsx)(r.a,{href:"/contribution",children:"get started with contributing"})," to breadroll"]}),"\n"]}),"\n",(0,n.jsxs)(r.li,{children:["\n",(0,n.jsx)(r.p,{children:"67 \uD83C\uDF20 stars on GitHub, thank you so much for the support - help breadroll rise even higher, drop a star."}),"\n"]}),"\n"]}),"\n",(0,n.jsx)(r.hr,{}),"\n",(0,n.jsx)(r.h3,{id:"040",children:"0.4.0"}),"\n",(0,n.jsx)("small",{className:"mb-5 block",children:"February 14, 2024"}),"\n",(0,n.jsx)(r.p,{children:(0,n.jsx)(r.img,{placeholder:"blur",src:l})}),"\n",(0,n.jsxs)(r.p,{children:["In breadroll's new version ",(0,n.jsx)(r.strong,{children:"0.4.0"})," a lot of new shiny features are introduced, Here are the cool new features"]}),"\n",(0,n.jsxs)(r.ul,{children:["\n",(0,n.jsxs)(r.li,{children:["Improvements to the ",(0,n.jsx)(r.code,{children:"Breadroll"})," and the ",(0,n.jsx)(r.code,{children:"Dataframe"})," API"]}),"\n",(0,n.jsx)(r.li,{children:"Introduction of a new remote data source"}),"\n",(0,n.jsx)(r.li,{children:"Changed filter keywords in favor of symbols over length words"}),"\n",(0,n.jsx)(r.li,{children:"A snazzy new way to perform data transformation"}),"\n",(0,n.jsxs)(r.li,{children:["Introuducing ",(0,n.jsx)(r.code,{children:"NumericConstants"})," - a collection of mathematical and physical constants"]}),"\n",(0,n.jsx)(r.li,{children:"breadroll hit 35 \uD83C\uDF20 stars on GitHub - help breadroll rise higher, drop a \uD83C\uDF20 star."}),"\n"]}),"\n",(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"API Improvements"})}),"\n",(0,n.jsxs)(r.p,{children:["The ",(0,n.jsx)(r.code,{children:"Breadroll"})," & ",(0,n.jsx)(r.code,{children:"Dataframe"})," APIs got a little face lift, with two major addition to the ",(0,n.jsx)(r.code,{children:"Breadroll"})," API and a few more others to the ",(0,n.jsx)(r.code,{children:"Dataframe"})," API;"]}),"\n",(0,n.jsxs)(r.ul,{children:["\n",(0,n.jsxs)(r.li,{children:[(0,n.jsx)(r.code,{children:"DataframeReadOptions?.parseNumber: boolean"})," - This is an optional property that allows you to opt out of parsing numbers defaults to ",(0,n.jsx)(r.code,{children:"true"}),", when set to ",(0,n.jsx)(r.code,{children:"false"})," all values are returned as strings"]}),"\n",(0,n.jsxs)(r.li,{children:[(0,n.jsx)(r.code,{children:"DataframeReadOptions?.supabase: SupabaseClient"})," - This is an optional property takes in the Supabase client created via ",(0,n.jsx)(r.code,{children:"createClient(..., ...)"}),", this property enables ",(0,n.jsx)(r.code,{children:"Breadroll.open.supabaseStorage"})," method."]}),"\n",(0,n.jsx)(r.li,{children:"By default headers (labels) were being converted to lower-case, now headers (labels) maintain case-sensitivity"}),"\n",(0,n.jsxs)(r.li,{children:[(0,n.jsx)(r.code,{children:"Dataframe.apply({...}: Apply)"})," - This function allows you to perform data transformation on a specified column of the dataframe"]}),"\n"]}),"\n",(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"New Remote Data Source \uD83D\uDE80 - Supabase"})}),"\n",(0,n.jsxs)(r.ul,{children:["\n",(0,n.jsxs)(r.li,{children:[(0,n.jsx)(r.code,{children:"Breadroll.open.supabaseStorage(bucketName: string, filepath: string)"})," - This function takes in the bucket name and filepath of the file, downloads the file, parses the files and retuns a Dataframe"]}),"\n"]}),"\n",(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Symbol-based Filter Keywords"})}),"\n",(0,n.jsxs)(r.p,{children:["The use of symbols as keyword ensurces less verbosity; most of the filter keywords have been replaced with symbols; ",(0,n.jsx)(r.code,{children:'"eqauls"'})," is now ",(0,n.jsx)(r.code,{children:'"=="'})," see the full changes ",(0,n.jsx)(r.a,{href:"/docs/Dataframe/filter/",children:"here"})]}),"\n",(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Numeric Constants"})}),"\n",(0,n.jsxs)(r.p,{children:["In addition to having the ability to perform data transformation using ",(0,n.jsx)(r.code,{children:"Dataframe.apply({...})"}),", the numeric constant object provides mathematical (",(0,n.jsx)(r.code,{children:"math"}),") and physical (",(0,n.jsx)(r.code,{children:"physical"}),") constants. 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