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Computer Punched Card

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Computer Punched Card Variety - RF CafeComputer punched cards were a popular data storage and input medium in early computer systems. Punched cards were widely used from the 1920s through the 1970s and played a significant role in the development of computing.

Computer punched cards were made of stiff cardstock and had rectangular holes punched in specific positions. These holes represented data and instructions that could be processed by machines called card readers or tabulating machines.

The most common type of computer punched card had dimensions of 7.375 inches by 3.25 inches (187.33 mm by 82.55 mm) and featured 80 columns and typically 12 rows of holes. Each column could hold a character or a specific piece of information. The absence or presence of a hole in a particular column indicated specific data or instructions.

Programs, data, and instructions were encoded onto the punched cards using keypunch machines. Operators would use the keypunch machines to punch holes in the appropriate columns and rows to represent the desired information.

Computer punched cards were used for various purposes, including data entry, data storage, and batch processing. They allowed for the input and storage of large amounts of data, such as census information, scientific data, business records, and more. Programs and instructions were also stored on punched cards, allowing for sequential execution in batch processing systems.

As technology advanced, punched cards were gradually replaced by more efficient and versatile storage and input methods, such as magnetic tape, magnetic disk, and eventually electronic storage. Today, punched cards are considered obsolete, and their usage has been largely phased out in favor of modern computer systems and storage media.

Here is a comprehensive review of various computer punched card encoding / decoding schemes.


AI Competition: ChatGPT-Gemini-Grok 3, GabAI - RF CafeThis content was generated by primarily with the assistance of ChatGPT (OpenAI), and/or Gemini (Google), and/or Arya (GabAI), and/or Grok (x.AI), and/or DeepSeek artificial intelligence (AI) engines. Review was performed to help detect and correct any inaccuracies; however, you are encouraged to verify the information yourself if it will be used for critical applications. In all cases, multiple solicitations to the AI engine(s) was(were) used to assimilate final content. Images and external hyperlinks have also been added occasionally - especially on extensive treatises. Courts have ruled that AI-generated content is not subject to copyright restrictions, but since I modify them, everything here is protected by RF Cafe copyright. Many of the images are likewise generated and modified. Your use of this data implies an agreement to hold totally harmless Kirt Blattenberger, RF Cafe, and any and all of its assigns. Thank you. Here is Gab AI in an iFrame.

AI Technical Trustability Update

While working on an update to my RF Cafe Espresso Engineering Workbook project to add a couple calculators about FM sidebands (available soon). The good news is that AI provided excellent VBA code to generate a set of Bessel function plots. The bad news is when I asked for a table showing at which modulation indices sidebands 0 (carrier) through 5 vanish, none of the agents got it right. Some were really bad. The AI agents typically explain their reason and method correctly, then go on to produces bad results. Even after pointing out errors, subsequent results are still wrong. I do a lot of AI work and see this often, even with subscribing to professional versions. I ultimately generated the table myself. There is going to be a lot of inaccurate information out there based on unverified AI queries, so beware.

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