#fortran program

[basic-retro-programming]

Hewlett-Packard, HP 9701 ...

Post #301: Hewlett-Packard, The HP 9701 Distributed System based on HP 2100 family, A Multi-Computer System, Programming with Fortran, Algol and Assembler, 1960s.

[bunnygirlmilk]

do u code

Not well but I took a class in object-oriented programming (using C#) some years ago and I’m currently learning Fortran for work

[miscellaneousmathematics]

Doing server maintenance tonight. At the end of the night I should have 7 different computers all hooked up together. Only problem is I have no idea what I want to do with all this computing power. I essentially have a cheap AMD Threadripper at my disposal.

Maybe I'll keep banging my head against Fortran to try and get my neural network to actually function. I'm running into problems with how to store the neural network data. Fortran doesn't have dynamically sized arrays so I have to either put in a big high rank array or have a bunch of smaller arrays with less manageable code.

[frank-olivier]

The Evolution of Programming Paradigms: Recursion’s Impact on Language Design

“Recursion, n. See Recursion.” -- Ambrose Bierce, The Devil’s Dictionary (1906-1911)

The roots of programming languages can be traced back to Alan Turing's groundbreaking work in the 1930s. Turing's vision of a universal computing machine, known as the Turing machine, laid the theoretical foundation for modern computing. His concept of a stack, although not explicitly named, was an integral part of his model for computation.

Turing's machine utilized an infinite tape divided into squares, with a read-write head that could move along the tape. This tape-based system exhibited stack-like behavior, where the squares represented elements of a stack, and the read-write head performed operations like pushing and popping data. Turing's work provided a theoretical framework that would later influence the design of programming languages and computer architectures.

In the 1950s, the development of high-level programming languages began to revolutionize the field of computer science. The introduction of FORTRAN (Formula Translation) in 1957 by John Backus and his team at IBM marked a significant milestone. FORTRAN was designed to simplify the programming process, allowing scientists and engineers to express mathematical formulas and algorithms more naturally.

Around the same time, Grace Hopper, a pioneering computer scientist, led the development of COBOL (Common Business-Oriented Language). COBOL aimed to address the needs of business applications, focusing on readability and English-like syntax. These early high-level languages introduced the concept of structured programming, where code was organized into blocks and subroutines, laying the groundwork for stack-based function calls.

As high-level languages gained popularity, the underlying computer architectures also evolved. James Hamblin's work on stack machines in the 1950s played a crucial role in the practical implementation of stacks in computer systems. Hamblin's stack machine, also known as a zero-address machine, utilized a central stack memory for storing intermediate results during computation.

Assembly language, a low-level programming language, was closely tied to the architecture of the underlying computer. It provided direct control over the machine's hardware, including the stack. Assembly language programs used stack-based instructions to manipulate data and manage subroutine calls, making it an essential tool for early computer programmers.

The development of ALGOL (Algorithmic Language) in the late 1950s and early 1960s was a significant step forward in programming language design. ALGOL was a collaborative effort by an international team, including Friedrich L. Bauer and Klaus Samelson, to create a language suitable for expressing algorithms and mathematical concepts.

Bauer and Samelson's work on ALGOL introduced the concept of recursive subroutines and the activation record stack. Recursive subroutines allowed functions to call themselves with different parameters, enabling the creation of elegant and powerful algorithms. The activation record stack, also known as the call stack, managed the execution of these recursive functions by storing information about each function call, such as local variables and return addresses.

ALGOL's structured approach to programming, combined with the activation record stack, set a new standard for language design. It influenced the development of subsequent languages like Pascal, C, and Java, which adopted stack-based function calls and structured programming paradigms.

The 1970s and 1980s witnessed the emergence of structured and object-oriented programming languages, further solidifying the role of stacks in computer science. Pascal, developed by Niklaus Wirth, built upon ALGOL's structured programming concepts and introduced more robust stack-based function calls.

The 1980s saw the rise of object-oriented programming with languages like C++ and Smalltalk. These languages introduced the concept of objects and classes, encapsulating data and behavior. The stack played a crucial role in managing object instances and method calls, ensuring proper memory allocation and deallocation.

Today, stacks continue to be an integral part of modern programming languages and paradigms. Languages like Java, Python, and C# utilize stacks implicitly for function calls and local variable management. The stack-based approach allows for efficient memory management and modular code organization.

Functional programming languages, such as Lisp and Haskell, also leverage stacks for managing function calls and recursion. These languages emphasize immutability and higher-order functions, making stacks an essential tool for implementing functional programming concepts.

Moreover, stacks are fundamental in the implementation of virtual machines and interpreters. Technologies like the Java Virtual Machine and the Python interpreter use stacks to manage the execution of bytecode or intermediate code, providing platform independence and efficient code execution.

The evolution of programming languages is deeply intertwined with the development and refinement of the stack. From Turing's theoretical foundations to the practical implementations of stack machines and the activation record stack, the stack has been a driving force in shaping the way we program computers.

How the stack got stacked (Kay Lack, September 2024)

Thursday, October 10, 2024

[scriptingthewhy]

Why You Should Get Yourself a Job with Legacy Programming Languages

Key Takeaways “Old” languages are still relevant: FORTRAN, COBOL, and Pascal continue to play crucial roles in specific domains. FORTRAN: Excels in scientific computing and high-performance computing. COBOL: Remains essential in financial systems for handling large datasets and transactions. Pascal: Influenced modern languages and continues to be used in education. Career opportunities…

[pauljonessoftware]

Legacy Code, Modern Paychecks: The Surprising Demand for Antique Programming Languages

Why old-school tech skills like COBOL and Fortran are still landing high-paying gigs in 2025 In a tech world obsessed with the latest frameworks and cutting-edge AI, it might surprise you to learn there’s still an active – and even lucrative – market for what many would call antique programming languages. We’re talking COBOL, Fortran, Ada, LISP, and other veterans of computing history. But is…

[aredredrosebyanyothername]

So whenever I get bored and have free time, I like to work on stilly programming projects. One I started a while back but didn’t get very far in is learning Fortran. The resources online for learning it are so funny. One goes through things so quickly that it’s clearly meant for someone who already knows another language, but it’s written as though everything is an entirely new concept. Another that I found includes information on pointers, dynamic arrays, and structs before it touches input and output. This is like trying to get a toddler to run before they crawl, you are never going to get information out of your code if you don’t use outputs. I don’t have a point here because I highly doubt anyone is taking up Fortran as a first coding language anymore, I just thought it was interesting.

[lavendertowerarchives]

i think its hilarious how much of a hold FORTRAN still has on coding today. like yeah some legacy systems are never updated cuz IT support is "unaffordable" or some shit but thats not what i mean.

a lot of interfaces and standardizations are based off having backwards compatibility, and were created when FORTRAN was aging out, so C and C++ were polite as fuck and said "yknow what we'll play by your rules for a lil"

so now C style languages are the standard for lower-level languages and FORTRAN and Pascal and BASIC and shit are dead but MPI still fucks everything up by pretending people still use it on old systems. like i know its just an interface but hell let me not pass by reference for once. c std lib? pass by reference. MPI? pass by reference. pthread library? pass by my middle finger on the way to your reference. FORTRAN is dead and buried but we still play by its rules because it couldnt fucking return a value. eat my entire ass please

[basic-retro-programming]

Fortran - Die erste wissenschaftliche Programmiersparche (1957 - 2024) ...

Quelle: www.peq42.com

https://datascientest.com/de/fortran-alles-ueber-die-erste-wissenschaftliche-programmiersprache

Post #307: DataScienTest, Alles über die erste wissenschaftliche Programmiersprache, 2024.

[thesecondface]

there is fortran in my future and I'm not sure how I'm supposed to feel about this.

[willowwindss]

100 Inventions by Women

LIFE-SAVING/MEDICAL/GLOBAL IMPACT:

Artificial Heart Valve – Nina Starr Braunwald

Stem Cell Isolation from Bone Marrow – Ann Tsukamoto

Chemotherapy Drug Research – Gertrude Elion

Antifungal Antibiotic (Nystatin) – Rachel Fuller Brown & Elizabeth Lee Hazen

Apgar Score (Newborn Health Assessment) – Virginia Apgar

Vaccination Distribution Logistics – Sara Josephine Baker

Hand-Held Laser Device for Cataracts – Patricia Bath

Portable Life-Saving Heart Monitor – Dr. Helen Brooke Taussig

Medical Mask Design – Ellen Ochoa

Dental Filling Techniques – Lucy Hobbs Taylor

Radiation Treatment Research – Cécile Vogt

Ultrasound Advancements – Denise Grey

Biodegradable Sanitary Pads – Arunachalam Muruganantham (with women-led testing teams)

First Computer Algorithm – Ada Lovelace

COBOL Programming Language – Grace Hopper

Computer Compiler – Grace Hopper

FORTRAN/FORUMAC Language Development – Jean E. Sammet

Caller ID and Call Waiting – Dr. Shirley Ann Jackson

Voice over Internet Protocol (VoIP) – Marian Croak

Wireless Transmission Technology – Hedy Lamarr

Polaroid Camera Chemistry / Digital Projection Optics – Edith Clarke

Jet Propulsion Systems Work – Yvonne Brill

Infrared Astronomy Tech – Nancy Roman

Astronomical Data Archiving – Henrietta Swan Leavitt

Nuclear Physics Research Tools – Chien-Shiung Wu

Protein Folding Software – Eleanor Dodson

Global Network for Earthquake Detection – Inge Lehmann

Earthquake Resistant Structures – Edith Clarke

Water Distillation Device – Maria Telkes

Portable Water Filtration Devices – Theresa Dankovich

Solar Thermal Storage System – Maria Telkes

Solar-Powered House – Mária Telkes

Solar Cooker Advancements – Barbara Kerr

Microbiome Research – Maria Gloria Dominguez-Bello

Marine Navigation System – Ida Hyde

Anti-Malarial Drug Work – Tu Youyou

Digital Payment Security Algorithms – Radia Perlman

Wireless Transmitters for Aviation – Harriet Quimby

Contributions to Touchscreen Tech – Dr. Annette V. Simmonds

Robotic Surgery Systems – Paula Hammond

Battery-Powered Baby Stroller – Ann Moore

Smart Textile Sensor Fabric – Leah Buechley

Voice-Activated Devices – Kimberly Bryant

Artificial Limb Enhancements – Aimee Mullins

Crash Test Dummies for Women – Astrid Linder

Shark Repellent – Julia Child

3D Illusionary Display Tech – Valerie Thomas

Biodegradable Plastics – Julia F. Carney

Ink Chemistry for Inkjet Printers – Margaret Wu

Computerised Telephone Switching – Erna Hoover

Word Processor Innovations – Evelyn Berezin

Braille Printer Software – Carol Shaw

⸻

HOUSEHOLD & SAFETY INNOVATIONS:

Home Security System – Marie Van Brittan Brown

Fire Escape – Anna Connelly

Life Raft – Maria Beasley

Windshield Wiper – Mary Anderson

Car Heater – Margaret Wilcox

Toilet Paper Holder – Mary Beatrice Davidson Kenner

Foot-Pedal Trash Can – Lillian Moller Gilbreth

Retractable Dog Leash – Mary A. Delaney

Disposable Diaper Cover – Marion Donovan

Disposable Glove Design – Kathryn Croft

Ice Cream Maker – Nancy Johnson

Electric Refrigerator Improvements – Florence Parpart

Fold-Out Bed – Sarah E. Goode

Flat-Bottomed Paper Bag Machine – Margaret Knight

Square-Bottomed Paper Bag – Margaret Knight

Street-Cleaning Machine – Florence Parpart

Improved Ironing Board – Sarah Boone

Underwater Telescope – Sarah Mather

Clothes Wringer – Ellene Alice Bailey

Coffee Filter – Melitta Bentz

Scotchgard (Fabric Protector) – Patsy Sherman

Liquid Paper (Correction Fluid) – Bette Nesmith Graham

Leak-Proof Diapers – Valerie Hunter Gordon

FOOD/CONVENIENCE/CULTURAL IMPACT:

Chocolate Chip Cookie – Ruth Graves Wakefield

Monopoly (The Landlord’s Game) – Elizabeth Magie

Snugli Baby Carrier – Ann Moore

Barrel-Style Curling Iron – Theora Stephens

Natural Hair Product Line – Madame C.J. Walker

Virtual Reality Journalism – Nonny de la Peña

Digital Camera Sensor Contributions – Edith Clarke

Textile Color Processing – Beulah Henry

Ice Cream Freezer – Nancy Johnson

Spray-On Skin (ReCell) – Fiona Wood

Langmuir-Blodgett Film – Katharine Burr Blodgett

Fish & Marine Signal Flares – Martha Coston

Windshield Washer System – Charlotte Bridgwood

Smart Clothing / Sensor Integration – Leah Buechley

Fibre Optic Pressure Sensors – Mary Lou Jepsen

[commodorez]

Sorry if you've mentioned this somewhere before, but what was your major in college?

Computer science, theoretical concentration

It was mostly programming and linux system administration stuff, but it had alot of variety and interesting sidebars. Graph theory was really fun, as was theory of computation. I never did get to take the FORTRAN class, it never was available during my time there. It was a small department so I got alot of one on one interaction with my professors. One in particular respected and understood my interest in computer history, so we got along well.

[adafruit]

🎄💾🗓️ Day 11: Retrocomputing Advent Calendar - The SEL 840A🎄💾🗓️

Systems Engineering Laboratories (SEL) introduced the SEL 840A in 1965. This is a deep cut folks, buckle in. It was designed as a high-performance, 24-bit general-purpose digital computer, particularly well-suited for scientific and industrial real-time applications.

Notable for using silicon monolithic integrated circuits and a modular architecture. Supported advanced computation with features like concurrent floating-point arithmetic via an optional Extended Arithmetic Unit (EAU), which allowed independent arithmetic processing in single or double precision. With a core memory cycle time of 1.75 microseconds and a capacity of up to 32,768 directly addressable words, the SEL 840A had impressive computational speed and versatility for its time.

Its instruction set covered arithmetic operations, branching, and program control. The computer had fairly robust I/O capabilities, supporting up to 128 input/output units and optional block transfer control for high-speed data movement. SEL 840A had real-time applications, such as data acquisition, industrial automation, and control systems, with features like multi-level priority interrupts and a real-time clock with millisecond resolution.

Software support included a FORTRAN IV compiler, mnemonic assembler, and a library of scientific subroutines, making it accessible for scientific and engineering use. The operator’s console provided immediate access to registers, control functions, and user interaction! Designed to be maintained, its modular design had serviceability you do often not see today, with swing-out circuit pages and accessible test points.

And here's a personal… personal computer history from Adafruit team member, Dan…

== The first computer I used was an SEL-840A, PDF:

I learned Fortran on it in eight grade, in 1970. It was at Oak Ridge National Laboratory, where my parents worked, and was used to take data from cyclotron experiments and perform calculations. I later patched the Fortran compiler on it to take single-quoted strings, like 'HELLO', in Fortran FORMAT statements, instead of having to use Hollerith counts, like 5HHELLO.

In 1971-1972, in high school, I used a PDP-10 (model KA10) timesharing system, run by BOCES LIRICS on Long Island, NY, while we were there for one year on an exchange.

This is the front panel of the actual computer I used. I worked at the computer center in the summer. I know the fellow in the picture: he was an older high school student at the time.

The first "personal" computers I used were Xerox Alto, Xerox Dorado, Xerox Dandelion (Xerox Star 8010), Apple Lisa, and Apple Mac, and an original IBM PC. Later I used DEC VAXstations.

Dan kinda wins the first computer contest if there was one… Have first computer memories? Post’em up in the comments, or post yours on socialz’ and tag them #firstcomputer #retrocomputing – See you back here tomorrow!

[a-regular-amount-of-spiders]

Headcannon:

So this is specifically based on shows/games/comics where Dick is shown to be technically unsavvy, which is not compatible with the frequent depictions of him being a tech wiz

As such, I propose this:

Dick is really really good with obscure technology and coding languages, almost exclusively.

The reason could be that he wanted to round out Batman (who knows all the more prevelamt stuff), or that he originates from the 80s, but personally I find this absolutely hilarious.

Like,

Tim: There’s nothing we can do, I’ve never even seen this kind of code before?

Dick: oh that’s Prolog, just gimme a second *shuts down the program with ease”

Tim: its fucking *what*

Babs: you know that and not python?

Dick: learning coding languages is time consuming :(

Other languages he could be good at include: Fortran, forth, MUMPS/Cache, Rebol, Perl, Brainfuck (or any esoteric coding language), Malbolge, APL etc etc.

Especially niche use case languages like MUMPS or purposefully difficult to use like Malbolge or Brainfuck have the potential for divine comedy

Additionally he should be good with older technology

Not just like, stuff used more in the 80s but shit like, can use a manual mass spectrometer. Stuff that’s been automated for awhile that no one can do manually cause it’s super hands on and complicated