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Matrix digital rain, or Matrix code, is the computer code featured in the Matrix series. The falling green code is a way of representing the activity of the simulated reality environment of the Matrix on screen by kinetic typography. All four Matrix movies, as well as the spin-off The Animatrix episodes, open with the code. It is a characteristic mark of the franchise, similar to the opening crawl featured in the Star Wars franchise.

In the film, the code that comprises the Matrix itself is frequently represented as downward-flowing green characters. This code uses a custom typeface designed by Simon Whiteley,[1] which includes mirror images of half-width kana characters and Western Latin letters and numerals.[2] In a 2017 interview at CNET, he attributed the design to his wife, who comes from Japan, and added, "I like to tell everybody that The Matrix's code is made out of Japanese sushi recipes".[3]

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The effect resembles that of older generation green screen displays of monochrome phosphorescent computer monitors.[4] One predecessor of the digital rain exists in a "code-scene" of the movie Meteo, a Hungarian experimental-pop culture movie from 1990. The 1995 cyberpunk film Ghost in the Shell, a strong influence on The Matrix,[5][6] features opening credits similar to the digital rain.

No official version of the code's typeface actually used in the Matrix trilogy and in the website for the game Path of Neo has been released. Several imitations have been made, mostly in the form of screensavers.

At first glance, both Data Matrix and QR Codes look relatively similar - they're both 2D codes and square or rectangular in overall shape, but they're very different. The easiest way is to look for the larger squares at the corners - if there are squares in the code - it's QR; if it's more uniform in appearance, it's a Data Matrix Code.

From extending product packaging to communicate brand messaging to providing options for internal track and trace and anti-counterfeiting measures, 2D codes can offer a wealth of opportunities for manufacturers in all industries.

QR codes can store a maximum of 4,296 alphanumeric characters, determined by the number of rows and columns contained within the code. A QR code consists of dark- or light-colored squares arranged in a grid on a contrasting background.

The number of rows and columns within a Data Matrix increases with the amount of information stored in the code; this is limited to 2,335 alphanumeric characters. Requirements for Data Matrix codes are specified under the ISO/IEC 16022 international standard.

In practice, however, 2D Data Matrix codes are typically used for internal product identification and anti-counterfeiting, while QR codes have become the standard format for most consumer-facing applications.

In order to tell the story of QR Codes and 2D Barcodes, you don't really have to go to their collective birth in the 1990s, but instead, to 20 years later - in the middle of the 2010s and the QR Code, in all of its informational glory, had made its first move into wide consumer use.

At first glance, the two types of codes look relatively similar - square or rectangular in overall shape - but they're so much different. The easiest way is to look for the larger squares at the corners - if there are squares in the code - it's a QR Code - whereas a 2D Code is more uniform in its appearance.

A Data Matrix is a 2D barcode that encodes data in black and white, or contrasting dark and light, cells arranged in a grid. Unlike 1D barcodes, Data Matrix codes are omnidirectional, meaning that they can be read from any angle.

Though typically printed in black and white, Data Matrix codes can be printed in different color combinations, provided there is sufficient contrast between dark and light cells to ensure readability.

Data Matrix codes can be scanned from any angle (0-360) using a Data Matrix code scanner, or omnidirectional camera scanner. Some smart phone cameras are physically capable of scanning Data Matrix codes; however, many smart phones do not have the functionality built in and will require a third-party app to read the information.

A QR code, or Quick Response code, is matrix-based 2D barcode that encodes data in black and white, or contrasting dark and light, cells arranged in a grid. Like other 2D codes, QR codes are omnidirectional meaning that they can be read from any angle.

The QR code was invented in 1994, by the Denso Corporation of Japan. Despite being over 25 years old, in larger Model 2 form (shown below) the technology can be quite information dense, capable of displaying up to 2953 bytes of binary information.

Though often printed in black and white, QR codes and can be printed in several different colors. However, there must be sufficient contrast between dark and light cells to accentuate the code itself and the background so the code is easily picked up by the scanner.

Like Data Matrix codes, QR codes can be scanned from any orientation using a specialist QR code scanner, or camera scanner. QR codes can also be scanned using a smart phone camera. In recent years, some mobile phone manufacturers have started to include QR code readability within standard camera functionality. This gives QR codes a slight edge over Data Matrix codes in customer-facing applications, as users may be able to scan a code direct from their phone camera, without using a specialist app.

Data Matrix codes are physically smaller than QR codes, offering high data density in a very small size, making them an ideal solution for marking individual product parts, where space might be limited. The US Electronic Industries Alliance (EIA) recommends using Data Matrix for labelling small electronic components. Data Matrix codes are also the only 2D codes approved by GS1 for regulated healthcare items; they are also the default code type for automotive and aerospace applications.

By comparison, QR codes are larger and can contain more data than Data Matrix codes. In addition, while Data Matrix codes are only capable of encoding information in numeric and alphanumeric characters, because QR codes were invented in Japan, they can also include Kanji, and other multi-byte character sets, making them suitable for use with non-European languages.

In practice, however, Data Matrix codes are most often used for internal product identification and anti-counterfeiting applications, while QR codes have become the standard format for most consumer-facing applications.

As with any product labelling, it is also important to ensure that 2D codes are printed correctly, by choosing the right printing application, and an accompanying code verification system, to check the quality and accuracy of the final code.

While Data Matrix and QR codes provide a greater tolerance for errors than traditional 1D barcodes, it is imperative to ensure that codes are clean, crisp, and correct to ensure that they can be used effectively by consumers and trusted by retailers and those within the wider supply chain.

If you are considering adding a Data Matrix code or QR code to your product packaging and need more information on how best to do this, please get in touch. We have a range of different printing and labelling solutions to suit the requirements for all industries and packaging types. We also offer a range of specialist code verification systems, designed to work alongside the Domino family of products. Our experts are on hand to talk through your specific requirements, and discuss which code, and printing solution, is best for your business.

The reason why you weren't seeing all characters on screen at once was because you were creating one character at a time, moving it all the way down, and then creating the next character. Instead, you need to initialise all your characters first, then move then down together. I have adjusted your code to:

This webpage is dedicated to the creator of the T-matrix method, Peter Waterman. It provides free public access toT-matrix codes for the computation of electromagnetic scattering by homogeneous, rotationally symmetric nonspherical particles in fixed and random orientations, a superposition T-matrix code for randomly oriented two-sphere clusters with touching or separatedcomponents, and superposition T-matrix codes for multi-sphereclusters in fixed and random orientations. All codes are written in Fortran-77. Each code is extensively documented and provides all necessary references to relevant publications.

The double-precision and extended-precision versions of the regular T-matrix codes are essentially identical. The extended-precision versionsare a factor of 5-8 slower than their double-precision equivalents, butallow computations for larger (a factor of 2-3) particles. The extended-precisioncodes have a more detailed documentation of all the subroutines used.

The regular T-matrix codes are applicable to rotationally symmetric particles withequivalent-sphere size parameters exceeding 100. At present, theT-matrix method is the fastest exact technique for the computation ofnonspherical scattering based on a direct solution of Maxwell's equations.The T-matrix codes are orders of magnitude faster than those based on the DDA, VIEF, and FDTD techniques.

The regular T-matrix codes for randomly oriented particles are based on the analyticalorientation averaging procedure described in the paper M. I. Mishchenko,J. Opt. Soc. Am. A 8, 871-882 (1991). This efficient proceduremakes the codes 1 to 2 orders of magnitude faster than T-matrix codesbased on the standard numerical averaging approach. The superpositionbisphere and multi-sphere T-matrix codes are based on similar analytical approaches and aredescribed in the papers M. I. Mishchenko and D. W. Mackowski,Opt. Lett., vol. 19, 1604-1606 (1994) and D. W. Mackowski and M. I. Mishchenko, J. Opt. Soc. Amer. A., vol. 13, 2266-2278 (1996). In application to bispheres, the multi-sphereT-matrix code is slower than the bisphere code. However, it can be applied to clusters with a number ofcomponents larger than 2. e24fc04721