This article explains how to use the Arduino toolchain to program microcontrollers from the Arduino IDE using their bootloaders, and also burning bootloaders directly onto bare microcontroller chips. It covers developing interactively with Forth (rapid prototyping), and moving your creations from a development board (Nano, Uno) to a standalone, low-cost, low-power, small footprint chip such as the ATMega328P or ATTiny85 or ATTiny84. Each of these microcontrollers is powerful, inexpensive, and allows using 3V batteries directly without the need to boost voltage to 5V. Additionally, we describe how to build an inexpensive (under £5), standalone 3-chip Atmel AVR universal bootloading programmer that you can use to program all of the chips above.
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Before domain-specific languages (DSLs) and REPL environments (read, execute, print, loop) became fashionable, computing pioneer Charles (Chuck) Moore had built, by 1968, what he viewed as the perfect computer programming language, which he named FORTH (for fourth generation language). What he had kept in view during its creation was an extreme austerity in syntax and structure as he searched for the minimalist system required to interact with a computer and be able to write custom problem-oriented languages to solve them. This approach is what he considered to be “programming”: you solve your problem by developing an application specific language with multiple levels of abstraction giving you in the end a small dictionary of simple words (in code) which represents the solution cleanly and in overall the fewest lines of code. Let’s look at this idea, how it has worked out over the years, and how you can apply this, regardless of the language you choose to (or have to) work with. This article looks at Forth, Lisp & Ruby, language that make it easy to solve classes of problems by writing your own DSL, i.e. by programming a specific “problem-oriented language” in which to solve your problem.
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Written July 7th, 2012, Revised Jan 12th, 2013, Updated & extended Jan 25th, 2020
There are at least seven distinct fields of computer programming that have less to do with languages and more to do with the target platform, desired functionality, and intended user. This article provides a short introduction to each, intended as a brief orienting survey. These are:
(1) Bare metal programming, not requiring an operating system,
(2) Application programming, in which an operating system is presumed,
(3) Mathematical computing and algorithms, from matrix computations and statistical learning to wavelet compression and cryptography,
(4) Web or Client-Server programming, in which the application lives in a client browser in communication with content generated on-the-fly from programs running on central servers,
(5) Mobile or App programming,
(6) Cloud programming, and
(7) Exotic programming (traditional super-computing, quantum computing, biological computing/soft robotics, deep machine learning).
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If you haven’t done so already, you may want to start by reading the Preface to the Computing Series: Software as a Force Multiplier, Sections 1-3.
1. Notepad++: a programmable, extensible, feature-rich text editor
NotePad++ (NPP) is an open-source programmer’s text editor with outstanding built-in features that can be further enhanced with powerful plugins and extensively customized with your own configurations. NPPs features include syntax highlighting for a large collection of programming languages, code folding, recordable macros, cloned views, selectable shortcuts, tabbed documents, and a host of other capabilities.
But it is the plugins and customization that NPP an invaluable power-tool, capable of far more than text editing. NPP can serve as an automation engine, a complex calculator (for example between hex, binary, and decimal), or a light-weight IDE for any toolchain you wish. It is the second application (after Total Commander) which I install on a Windows computer.
This article describes a few of the dozens of capabilities. It also shares a pre-configured Notepad++ package that I use (20.0MB compressed, 50.0MB uncompressed, download here), which contains the configurations and capabilities I use. The file is portable and self-contained: just unpack NPP to your drive (in a separate folder to your current running instance) and run notepad++.exe from there.
Notepad++, by Don Ho, multi-view with syntax highlghting
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*New!* (29 Aug 2020) – Turtle Logo v1.8 (portable) is available! Developer kit with source code included. Suitable from ages 3 years to adult. (970 lines of Forth code).
1. Inspiring the next generation of technology builders.
A challenge facing parents and teachers is how to help children develop ‘builder’ relationships with technology rather than being limited to the passive consumption of content created by others. The consensus on what’s important for older kids and adults is clear: coding. This enables children to participate in the creation of their own technological “micro-worlds” — environments rich in educational potential.[14]
This autumn, spurred by having our own young children (one aged 4 years, the other 16 months), we began an experiment, the result of which is a Turtle Logo program for Windows computers (freely downloadable) that is simple enough to be accessible for children from 3 years and older, while providing an extensible platform that can grow with the child.
The long-term goal is to enable children to express their creativity, artistry, and natural ‘builder’ impulses using coding, computer graphics, and robotics as readily as the previous generation could using paints, brushes, and building blocks.
Turtle Logo – Inspiring the next generation of technology builders.
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By Assad Ebrahim, on September 3rd, 2010 (16,551 views) |
Topic: Maths--Data Science
(Statistics and Data Mining I)
For a variety of reasons, meaningful website visitation and visitor behavior statistics are an elusive data set to generate. This article introduces the visitor statistics problem, and describes seven challenges that must be overcome by statistical and data analysis techniques aiming for accurate estimates. Along the way, we’ll encounter the “Good News Cheap, Bad News Expensive” Paradox of Data Mining — or, why information is often used “as-is”.
This article is the first in a series on algorithms, statistics and data analysis techniques (using free and open source tools) using the visitor statistics problem as a vehicle for illustration.
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…for Embedded and Low-Level Systems Development
C provides the convenience of learning one language while retaining the ability to target a variety of platforms including modern operating systems (Linux, Windows, Mac), real-time operating systems, systems-on-a-chip, and a host of microcontrollers for embedded development. And if you have to “mov” the bits around yourself (device drivers, DMA controllers), you can do that too. This is a significant efficiency over assembly languages which are essentially chip-specific control codes and therefore require understanding the architecture of the target chip.
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By Assad Ebrahim, on January 9th, 2010 (21,042 views) |
Topic: SWEng--Programming
2nd ed., Feb 1, 2024, 1st ed. Jan 9th, 2010
A common misconception is that assembly language programming is a relic of the past. This is certainly not the case, and assembly language remains a core knowledge area for embedded systems development, digital design, and algorithm development in the 21st century.
A second misconception, especially amongst those who are only familiar with higher level languages (Python, Ruby, C#/.NET, Perl), is that assembly language is a defective programming language and therefore not worth the time to invest in.
But assembly language is more than ‘just another general purpose programming language’. It is actually the control signal specification for the microprocessor or microcontroller that will be running the instructions, and whose digital design must be reasonably well understood in order to get it to work successfully.
Higher level languages typically hide the underlying toolchains behind turnkey integrated development environments (IDEs). But the toolchains are valuable in their own right, comprising various software components (pre-processor, compiler, assembler, linker, loader) which take the high level code and transform it to executable machine code that can run on the target processor, optionally producing assembly code for inspection along the way. Familiarity with this toolchain can help evaluate how much overhead the high-level tools introduce on the code, which is an important part of understanding how much you’re trading off.
In this article, we’ll look first take a look at the software toolchain involved in general terms, before turning to specific tools you can use on a modern Windows computer (through Windows 11) to target an x86 chip (no longer in your PC but in a DOS Emulator). Similar skills and approaches carry over to the toolchain for the Atmel 328P and ATTiny 85 with a graphics application (TinyPhoto) on the ATTiny85 here.
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