Programmable devices have existed at least as far back as AD, when the automata of Al-Jazari were programmable, via pegs and camsto play various rhythms and drum patterns;  and the Jacquard loom could produce entirely different weaves by changing the "program" - a series of pasteboard cards with holes punched in them. In the s Herman Hollerith invented the concept of storing data in machine-readable form. However, with the concept of the stored-program computers introduced inboth programs and data were stored and manipulated in the same way in computer memory. Machine code was the language of early programs, written in the instruction set of the particular machine, often in binary notation.
Although it wasn't my intent, Python programers have told me this page has helped them learn Lisp. Basically, Python can be seen as a dialect of Lisp with "traditional" syntax what Lisp people call "infix" or "m-lisp" syntax.
One message on comp. Some instructors and students wanted Java because That's the language they're most familiar with from other courses. They want to have graphical applications. A minority want applets in browsers.
Some just couldn't get used to Lisp syntax in the limited amount of class time they had to devote to it. However, our first attempt at writing Java versions was largely unsuccessful.
Java was too verbose, and the differences between the pseudocode in the book and the Java code was too large. I looked around for a language that was closer to the pseudocode in the book, and discovered Python was the closest.
It An overview of computer programmers easy to use interactive with no compile-link-load-run cyclewhich is important for my pedagogical purposes. Python seems to be easier to read than Lisp for someone with no experience in either language. The Python code I developed looks much more like the independently developed pseudo-code in the book than does the Lisp code.
This is important, because some students were complaining that they had a hard time seeing how the pseudo-code in the book mapped into the online Lisp code even though it seemed obvious to Lisp programmers. The two main drawbacks of Python from my point of view are 1 there is very little compile-time error analysis and type declaration, even less than Lisp, and 2 execution time is much slower than Lisp, often by a factor of 10 sometimes by and sometimes by 1.
Qualitatively, Python feels about the same speed as interpreted Lisp, but very noticeably slower than compiled Lisp. For this reason I wouldn't recommend Python for applications that are or are likely to become over time compute intensive unless you are willing to move the speed bottlenecks into C.
But my purpose is oriented towards pedagogy, not production, so this is less of an issue. Interestingly, Lisp has exactly the same philosophy on this point: Take a Lisp program, indent it properly, and delete the opening parens at the start of lines and their matching close parens, and you end up with something that looks rather like a Python program.
Python has the philosophy of making sensible compromises that make the easy things very easy, and don't preclude too many hard things. In my opinion it does a very good job.
The easy things are easy, the harder things are progressively harder, and you tend not to notice the inconsistencies. Lisp has the philosophy of making fewer compromises: This can make Lisp harder to learn because you operate at a higher level of abstraction right from the start and because you need to understand what you're doing, rather than just relying on what feels or looks nice.
But it also means that in Lisp it is easier to add levels of abstraction and complexity; Lisp is optimized to make the very hard things not too hard, while Python is optimized to make medium hard things easier.
Here I've taken a blurb from Python.
The bulk of the blurb, common to both languages, is in black. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together.
Since there is no separate compilation step, the edit-test-debug cycle is incredibly fast. Instead, when the interpreter discovers an error, it raises an exception.
When the program doesn't catch the exception, the interpreter prints a stack trace. A source level debugger allows inspection of local and global variables, evaluation of arbitrary expressions, setting breakpoints, stepping through the code a line at a time, and so on.
On the other hand, often the quickest way to debug a program is to add a few print statements to the source: To which I can only add: To learn more about Python, if you are an experienced programmer, I recommend going to Python.
Entries in red mark places where one language is noticibly worse, in my opinion. Entries in bold mark places where the languages are noticibly different, but neither approach is clearly better. Entries in regular font mean the languages are similar; the syntax might be slightly different, but the concepts are the same or very close.
The table is followed by a list of gotchas and some sample programs in Python.Python is a high-level, interpreted, interactive and object-oriented scripting language. Python is designed to be highly readable. It uses English keywords frequently where as other languages use punctuation, and it has fewer syntactical constructions than other languages.
Overview Computer programmers write and test code that allows computer applications and software programs to function properly. They turn the program designs created by software developers and engineers into instructions that a computer can follow.
Employment of computer programmers in the US is projected to decline 7 percent from . Occupational Employment and Wages, May Computer Programmers. Create, modify, and test the code, forms, and script that allow computer applications to run.
Overview Requirements Tuition & Financial Aid Transfer Computer Programmer Job Description and Salary.
Career Categories Computer programmers made an average salary of more than $87, as of May , according to BLS figures. The top 10% made more than $, C++ For C Programmers, Part B from University of California, Santa Cruz. This course is for experienced C programmers who want to program in C++. The examples and exercises require a basic understanding of algorithms and object-oriented software.
Computer programmers write and test code that allows computer applications and software programs to function properly. They turn the program designs created by software developers and engineers into instructions that a computer can follow.
Most computer programmers have a bachelor’s degree On-the-job training: None.