15 years of Internet Explorer

Last month, Internet Explorer turned 15. Here's a timeline of IE releases based on excerpts from seattlepi's article on the history of IE -


IE1 was born when Microsoft got a license from Spyglass Inc. for the source code of Mosaic -- the first graphical Web browser technology. Microsoft launched IE1 in August 1995 as part of the Windows 95 Plus! pack, a $49 add-on for the landmark operating system.

IE2 came in November 1995, and by April 1996 it also was available for Windows NT, Windows 3.1 and Macintosh. Users could buy it as part of the Internet Starter Kit for Windows, which cost $20.


It wasn't until Internet Explorer 3.0, in August 1996, that Microsoft introduced the "blue E" logo we all know now.

IE4 was the Big Mama. Released in September 1997, Microsoft soon bundled it with Windows 98 -- a practice that took IE's market share from less than 20 percent in late 1997 to about 60 percent by 1999.

IE4 introduced Microsoft's Trident layout engine, which is still in use today in Internet Explorer.

Microsoft continued to eat away at Netscape's usage with Internet Explorer 5.0, which was officially released in March 1999 and was another major player in United States v. Microsoft.

IE6 shipped with Windows XP in 2001.

Microsoft itself has since likened the 9-year-old browser to old, spoiled milk, urging users to upgrade to the current version, Internet Explorer 8.

Internet Explorer 7, though it represented a big leap for Microsoft's browser, wasn't as widely used as IE6. Launched in October 2006, it included tabbed browsing, support for RSS and protection against phishing -- features popularized by rival Mozilla's Firefox.

By the time Microsoft released Internet Explorer 8 in March 2009, Chrome was on its second version and had a market share of about 2 percent.

The beta of Internet Explorer 9 is expected on September 15, 2010.

Related:
A Brief History of the Web
The History of Microsoft

Comments

Post a Comment

Popular posts from this blog

Datawrapper Makes Data Beautiful & Insightful

Datawrapper is an online data visualization tool available at datawrapper.de that lets you create charts, maps and tables. Here's the list of the different visualizations you can create - Bar Chart Stacked Bars Grouped Bars Split Bars Bullet Bars Column Chart Stacked Columns Grouped Columns Lines Multiple Lines Area Chart Scatter Plot Dot Plot Range Plot Arrow Plot Election Donut Pie Chart Multiple Pies Donut Chart Multiple Donuts Choropleth map Symbol map Locator map Table It is self-funded by its customers’ subscription revenue. It also provides a good Free Plan .  The Datawrapper “Created with Datawrapper” attribution appears at the bottom of the chart if you use the free plan. However, you retain full copyright to your charts, maps, and tables. To remove the attribution, you’ll need to update to Custom or Enterprise plan. The Datawrapper River is a place to exchange charts and maps with other Datawrapper users. After adding a chart to the River, anyone can use it and customiz...
Read more

GitHub Copilot Q&A - 1

Image
Key takeaways from the talk in Q&A format - What is GitHub Copilot and how does it work? GitHub Copilot is a suite of tools designed for code completion. It works by analysing the code and comments you type in your IDE and sending that context to GitHub. Copilot then uses OpenAI's language model (in December 2024, it is GPT 4o by default and you can also choose the preview versions of o1-mini & o1-preview if you like) to understand your intent and generate suggestions for code completion. You can then accept, reject, or modify these suggestions. What context does GitHub Copilot consider when making suggestions? Copilot considers the entirety of the file you are currently working on, not just the code from your cursor position upwards. It also analyses the content of other open tabs in your IDE, starting with those closest to the current tab. This helps Copilot focus on the most relevant information. Is it necessary to meticulously manage open tabs for Copilot to work effect...
Read more

Maven Crash Course - Learn Power Query, Power Pivot & DAX in 15 Minutes

Image
In the Maven Crash Course " Learn Power Query, Power Pivot & DAX in 15 Minutes ", Chris Dutton walks through a hypothetical business case while showcasing the power of modern Excel tools like Power Query, Power Pivot and DAX. Power Query is used to extract, transform, and load data from external sources like SQL databases, PDF and CSV files. A relational model is created to join the tables without writing a single formula. Exploratory analysis is done using Power Pivot and Data Analysis Expressions (DAX). Data Analysis Expressions is the language that we can use to define new calculated columns and measures to enhance our Data Model instead of the traditional cell formulas that we'd typically use if our data was stored in worksheets. Pivot Charts and slicers are used to design a simple interactive report that the sales managers can use to analyze revenue trends and product performance.
Read more