Sublime Text editor works across multiple platforms for Windows, MacOSX and Linux. Install previous versions of Sublime Text Editor Now you might be wondering it is straightforward to install the latest version of Sublime Text Editor from the official website. But what if you wanted to install previous versions of Sublime Text Editor? Don’t panic the steps below will outline how this can be achieved. Build Version Release Date 3211 October 1, 2019 3207 April 6, 2019 3200 March 13, 2019 3176 May 14, 2018 3170 May 7, 2018 3143 September 13, 2017 3126 September 23, 2016 3124 September 22, 2016 3114 May 12, 2016 3103 February 9, 2016 3083 March 26, 2015 3080 March 24, 2015 3065 August 27, 2014 3059 December 17, 2013 3047 June 27, 2013 3033 May 7, 2013 3021 March 14, 2013 3019 March 12, 2013 3012 February 10, 2013 3011 February 9, 2013 3010 February 3, 2013 3009 February 1, 2013 3008 January 30, 2013 3007 January 30, 2013 3006 January 29, 2013 Tutorial Video If you prefer visual guidance on how to install the latest and previous versions of Sublime Text Editor then follow along in my tutorial below:

The use of data visualisation in data science can be broadly categorised under three main application: Data checking and cleaning Exploration and discovery Presentation and communication of results Data Checking and Cleaning It is good practice when you first get a new data set both in terms of a sanity check but also to gain a deeper understanding of your data to first create a few preliminary plots.

Search Engine Optimization (SEO) is a crucial compnent to channel the growth of your website and garner more attention. But to even begin your SEO journey your website must first show up on Google search! In this post I will take you through step-by-step from setting up your site on Google Search Console and then establishing the sitemap so that your website will appear and be returned in the search results.

Extract characters before first space To extract the string/characters before the first space in an Excal value use the following function: =LEFT("Cell Number", (FIIND(" ", "Cell Number",1)-1)) Alternatively you can also use the following formula to achieve the same result: =LEFT("Cell Number", LEN("Cell Number") - FIND(" ", "Cell Number")) It is important to note in both formulas “Cell Number” is just a placeholder and should be replaced with the actual cell number for the value in which you want to extract (e.

Hugo is a fast and moden static website generator written in Go. Hugo is a general-purpose website framework, which means that it does not dynamically build a page with each visitor request, but rather builds pages when you create or update your content. Creating a Post To create a post for your Hugo website just apply the following syntax in your command line: hugo new post_name.md Common Errors No extension One of the more common errors which you might encounter when creating a post is missing the ‘.

You’ve probably heard the expression “think like a programmer”. This means having the ability to see a challenge from one angle, then being able to take a step back and look at the same challenge from an alternative perspective. Do this over and over again until you find a solution. Set Realistic Goals Before a developer/programmer enter a single line of code, a project management team has scoped out and designed their application in careful detail.

A SQL JOIN clause is used to combine rows from two or more tables, based on a related column between them. This is referred to as a key. In a relational database there would be a primary key and corresponding foreign key across all the tables which you are joining. Think of this like the tables personal identification. There are four basic types of SQL joins: Inner Join Left Outer Join Right Outer Join Full Join Today we will cover two of these joins: Left and Right, stay tuned for upcoming posts covering Inner and Full Join.

In the world of machine learning when discussing model prediction, it’s important to understand prediction errors (bias and variance). The prediction error for any machine learning algorithm can be broken down into three parts: Bias Error Variance Error Irreducible Error Bias Bias is the difference between the average prediction of a model and the correct true value which is being predicted. A model with high bias does not perform well on both the training and testing data due to oversimplification.