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Closed 9 years ago.
I heard people say they can understand their python code a year later but not their XYZ code. Why? I dont know what is good about python syntax or what is bad about another. I like C# but i have a feeling VB.NET code is easier to read. I am doing language design so what do you find makes code/syntax/language readable or not readable?
Experience.
IMO, one of the big things is significant white space. Block indention goes a long ways and languages like Python and F# that provide a level of significant white space can help with readability.
Code like Java and C# tend to be structured and the readability becomes a focal point of how it was coded to begin with and not of the language itself.
Code is readable when its written in a style of explicit "stating what you want to do".
This only depends on the language in sofar
it allows you to express what you want (functional-programming!)
it doesn't emphasize on cryptical statements
The rest depends on the style you use to write code (even Perl can be understandable!), but certain languages make it easier to hacky statements.
Clear:
expr = if not (ConditionA and ConditionB) then ... else ...
Unclear:
expr = (!(conditionA && conditionB)) ? ... : ...
Clear:
foreach line in lines:
if (line =~ /regex/):
// code
Unclear:
... if /regex/ foreach(#lines);
Clear:
x = length [ x | x <- [1..10], even x ]
Unclear:
int x = 0;
for (int i = 1; i <= 10; ++i)
if ((i&&1)==0) ++x;
Generally what makes Python considered readable is that it forces a standardized indentation. This means that you'll never be forced to wonder whether you're in an if block or a function, it is clear as day. Even poorly written code therefore becomes obvious.
One language which I generally consider difficult to read is PHP for the same reason (or rather, its opposite). Since programmers are allowed to indent at will, and store variables anywhere, it can get convoluted very quickly. Further, since PHP historically did not have case sensitive function names (PHP < 4.4.7 I believe), this means that there really isn't a consistency in the implementation of the core language either... (Don't get me wrong, I like the language, but a bad coder can REALLY make a mess).
JavaScript also has a lot of problems with undisciplined developers. You'll find yourself wondering where variables have been defined and what scope you're in. Code will not be in one consolidated place, but rather spread across multiple files, and often lurking where unexpected.
ActionScript 3 is a bit better. Generally, there has been a move to have everyone use similar syntax's, and Adobe has gone so far as to define its standards and make them accessible and common. It does not take much to see how the ECMAScript implementation which is supported by a for-profit company is superior to the generalized one.
Readability is a function that takes a lot of inputs. I don't think it's really possible to compile a full list of things that can affect a language's readability. The most general way to describe it is "minimizing cognitive load." A few major factors:
Subtleties of meaning. If two code snippets look very similar at a glance but do different things, it hurts readability because the reader has to stop and deduce what's actually happening.
Meaningless code — aka boilerplate. This doesn't necessarily mean code that does nothing, but code that doesn't tell me anything about what we're actually doing. Every bit of code that doesn't express the actual intent of a function or object reduces readability by that much.
Cramming meaning — aka golf. This is the opposite of the boilerplate problem. It's possible to compress code so far that the reader is forced to stop and examine it pretty much character by character. The exact line where this occurs is somewhat subjective (which is part of why some people love Perl and some people hate it), but it's definitely a real phenomenon.
The programmer makes code readable or unreadable, not the language. Thinking otherwise is just fooling yourself. This is because the only people who are qualified to judge readability are those who know the language. To the non-programmer, all languages are equally unreadable.
I heard people say they can understand their python code a year later but not their XYZ code. Why?
Firstly, I don't think that people say that based solely on syntax. There are a lot of other factors to take into consideration, to name just a few:
The fact that some languages tend to promote only one right way to do something (like Python), and others promote many different ways (Ruby for example, from what I hear [disclaimer: I am not a Ruby programmer])
The libraries the language has. The better designed ones tend to be incredibly easy to understand without needing documentation, and this also tends to help remember. A language with good libraries will therefore make things easier.
Having said that, my personal take on Python is the fact that many people call it "executable pseud-code". It supports a wide variety of things that tend to appear in pseudo-code, and as an extension, are the standard way to think about things.
Also, Python's un-C-like syntax, one of the features that make it so disliked by so many people, also makes Python look more like pseudocode.
Well, that's my take on Python's readability.
To be honest when it comes to what makes a language readable it is really seems to boil down to a combination of simplicity and personal preference. (Of course - it is always possible to write unreadable code in any language if you try hard enough). Since personal preference can't really be controlled, it comes down to ease of expression - the more complicated it is in a language to use simple features, the more difficult that language is likely to be in general from a readability standpoint.
A word required when one character will suffice - a stone in the garden of Pascal and VB.
Compare:
Block ()
Begin
// Content
End
vs.
Block
{
// Content
}
It requires extra brain processing to read a word and mentally associate it with a concept, while a single symbol is immediately recognized by its image.
It is the same thing as the difference with natural languages, usual textual languages vs. symbol languages with hieroglyphs (Asian group). The processing of the first group is slower because basically a text is parsed to a set of concepts while hieroglyphs represent concepts themselves. Compare it with what you already know - will a serialization/deserialization from an XML be faster than a custom search over a binary format?
IMHO, the more a computer language resembles a spoken language, the more readable it is. For extreme examples, take languages like J or Whitespace or Brainfuck... completely unreadable to the untrained eye.
But a language that resembles English can be more easily understood. Not that this makes it the best language, as COBOL can attest.
I think it has more to do with the person writing the code rather than the actual language itself. You can write very readable code in any language, and unreadable code in any language. Even a complex Regular expression can be formatted and commented so as to make it easy to read.
a coworker of mine use to have a saying: "You can write crap code in any language." I liked it and wanted to share today. What makes code readable? Here are my thoughts
The ability to read the syntax of the language.
Well formatted code.
Meaningfully named variables and functions
Comments to explain complex processing. Beware, too much commentes can make the code hard to read
Short functions are easier to read than long ones.
None of these have anything to do with the language, it's all about the coder, and the quality of their work.
I will try saying that a code is readable by its simplicity.
You got to get at first sight what it does and what its purpose is. Why write a thousand lines of code when only a few does what is required?
This is the spirit of a functional language like F#, for instance.
For me its mainly the question of wether the language allows you to develop more readable abstractions which do prevent getting lost in details.
This is where OOP comes in very handy with the hiding of details. If i can hide the details of a task behind an interface that has the behavior of a common concept (i.e. iterators in C++) i usually don't have to read the implementation details.
I think, language design (for normal languages, not brainfuck :) ) not matters. To make code readable you should follow standards, code conventions, and don't forget about refactoring.
It's all about clean code.
Keep it small, simple, well named, and formatted.
class ShoppingCart {
def add(item) {
println "you added some $item"
}
def remove(item) {
println "you just took out the $item"
}
}
def myCart = new ShoppingCart()
myCart.with {
add "juice"
add "milk"
add "cookies"
add "eggs"
remove "cookies"
}
The literacy level of the reader.
Two distinct aspects, really. First is syntax and whitespace. Python enforces a whitespace standard, dropping unnecessary {, } and ; characters. This makes it easy on the eyes. Second, and most importantly, clarity of expression- i.e. how easy is it to map code back to the way you think. There are several features (and non-features) in programming languages that contribute to the latter point:
Disallowing jumps. The goto statement in C is a typical example. Code that doesn't keep running out of structured blocks is easier to read.
Minimizing side-effects. Global variables are evil, remember?
Using more tailored functions. How can your head track a for loop with 5 iteration variables? The Common Lisp loop is much easier to read (although VERY difficult to write, but that's a different story)
Lexical closures. You can figure out a variable's value by just looking at it, as opposed to running the code in your head, and then figuring out which statement is shadowing which.
A couple of examples:
(loop
do for tweet = (master-response-parser (twitter-show-status tweet-id))
for tweet-id = tweet-id then (gethash in-reply-to tweet)
while tweet-id
collecting tweet)
and
listOfFacs = [x | x <- [1 ..], x == sumOfFacDigits x]
where sumOfFacDigits x = sum [factorial (x `div` y) | y <- [1 .. 10]]
Concerning the syntax, I think it it imperative that it be fairly descriptive. For instance, in many languages, you have the foreach statement, and each one handles it a bit differently.
// PHP
foreach ($array as $variable) ...
// Ruby
array.each{ |variable| ... }
// Python
for variable in array ...
// Java
for (String variable : array)
Honestly, I feel that PHP and Python have the clearest means of understanding, but, it all boils down to how smart and clear the programmer wants to be. For instance, a bad programmer could write the following:
// PHP
foreach ($user as $_user) ...
My guess is that you would have almost no idea what the heck the code is doing unless you tracked back and attempted to figure out what $user was and why you were iterating over it. Being clear and concise is all about making small chunks of code make sense without having to trace back through the program to figure out what variables/function names are.
Also, I would have to completely agree with whitespace. Tabs, newlines and spacing in-between operators really make a huge difference!
Edit 1: I might also interject that some languages have the syntax and tools readily available to make things more clear. Take Ruby for example:
if [1,2,3].include? variable then ... end
verses, say Java:
if (variable != 1 || variable != 2 || variable != 3) { ... }
One of these (IMHO) is certainly more clear and readable than the other.
Related
Like lots of you guys on SO, I often write in several languages. And when it comes to planning stuff, (or even answering some SO questions), I actually think and write in some unspecified hybrid language. Although I used to be taught to do this using flow diagrams or UML-like diagrams, in retrospect, I find "my" pseudocode language has components of C, Python, Java, bash, Matlab, perl, Basic. I seem to unconsciously select the idiom best suited to expressing the concept/algorithm.
Common idioms might include Java-like braces for scope, pythonic list comprehensions or indentation, C++like inheritance, C#-style lambdas, matlab-like slices and matrix operations.
I noticed that it's actually quite easy for people to recognise exactly what I'm triying to do, and quite easy for people to intelligently translate into other languages. Of course, that step involves considering the corner cases, and the moments where each language behaves idiosyncratically.
But in reality, most of these languages share a subset of keywords and library functions which generally behave identically - maths functions, type names, while/for/if etc. Clearly I'd have to exclude many 'odd' languages like lisp, APL derivatives, but...
So my questions are,
Does code already exist that recognises the programming language of a text file? (Surely this must be a less complicated task than eclipse's syntax trees or than google translate's language guessing feature, right?) In fact, does the SO syntax highlighter do anything like this?
Is it theoretically possible to create a single interpreter or compiler that recognises what language idiom you're using at any moment and (maybe "intelligently") executes or translates to a runnable form. And flags the corner cases where my syntax is ambiguous with regards to behaviour. Immediate difficulties I see include: knowing when to switch between indentation-dependent and brace-dependent modes, recognising funny operators (like *pointer vs *kwargs) and knowing when to use list vs array-like representations.
Is there any language or interpreter in existence, that can manage this kind of flexible interpreting?
Have I missed an obvious obstacle to this being possible?
edit
Thanks all for your answers and ideas. I am planning to write a constraint-based heuristic translator that could, potentially, "solve" code for the intended meaning and translate into real python code. It will notice keywords from many common languages, and will use syntactic clues to disambiguate the human's intentions - like spacing, brackets, optional helper words like let or then, context of how variables are previously used etc, plus knowledge of common conventions (like capital names, i for iteration, and some simplistic limited understanding of naming of variables/methods e.g containing the word get, asynchronous, count, last, previous, my etc). In real pseudocode, variable naming is as informative as the operations themselves!
Using these clues it will create assumptions as to the implementation of each operation (like 0/1 based indexing, when should exceptions be caught or ignored, what variables ought to be const/global/local, where to start and end execution, and what bits should be in separate threads, notice when numerical units match / need converting). Each assumption will have a given certainty - and the program will list the assumptions on each statement, as it coaxes what you write into something executable!
For each assumption, you can 'clarify' your code if you don't like the initial interpretation. The libraries issue is very interesting. My translator, like some IDE's, will read all definitions available from all modules, use some statistics about which classes/methods are used most frequently and in what contexts, and just guess! (adding a note to the program to say why it guessed as such...) I guess it should attempt to execute everything, and warn you about what it doesn't like. It should allow anything, but let you know what the several alternative interpretations are, if you're being ambiguous.
It will certainly be some time before it can manage such unusual examples like #Albin Sunnanbo's ImportantCustomer example. But I'll let you know how I get on!
I think that is quite useless for everything but toy examples and strict mathematical algorithms. For everything else the language is not just the language. There are lots of standard libraries and whole environments around the languages. I think I write almost as many lines of library calls as I write "actual code".
In C# you have .NET Framework, in C++ you have STL, in Java you have some Java libraries, etc.
The difference between those libraries are too big to be just syntactic nuances.
<subjective>
There has been attempts at unifying language constructs of different languages to a "unified syntax". That was called 4GL language and never really took of.
</subjective>
As a side note I have seen a code example about a page long that was valid as c#, Java and Java script code. That can serve as an example of where it is impossible to determine the actual language used.
Edit:
Besides, the whole purpose of pseudocode is that it does not need to compile in any way. The reason you write pseudocode is to create a "sketch", however sloppy you like.
foreach c in ImportantCustomers{== OrderValue >=$1M}
SendMailInviteToSpecialEvent(c)
Now tell me what language it is and write an interpreter for that.
To detect what programming language is used: Detecting programming language from a snippet
I think it should be possible. The approach in 1. could be leveraged to do this, I think. I would try to do it iteratively: detect the syntax used in the first line/clause of code, "compile" it to intermediate form based on that detection, along with any important syntax (e.g. begin/end wrappers). Then the next line/clause etc. Basically write a parser that attempts to recognize each "chunk". Ambiguity could be flagged by the same algorithm.
I doubt that this has been done ... seems like the cognitive load of learning to write e.g. python-compatible pseudocode would be much easier than trying to debug the cases where your interpreter fails.
a. I think the biggest problem is that most pseudocode is invalid in any language. For example, I might completely skip object initialization in a block of pseudocode because for a human reader it is almost always straightforward to infer. But for your case it might be completely invalid in the language syntax of choice, and it might be impossible to automatically determine e.g. the class of the object (it might not even exist). Etc.
b. I think the best you can hope for is an interpreter that "works" (subject to 4a) for your pseudocode only, no-one else's.
Note that I don't think that 4a,4b are necessarily obstacles to it being possible. I just think it won't be useful for any practical purpose.
Recognizing what language a program is in is really not that big a deal. Recognizing the language of a snippet is more difficult, and recognizing snippets that aren't clearly delimited (what do you do if four lines are Python and the next one is C or Java?) is going to be really difficult.
Assuming you got the lines assigned to the right language, doing any sort of compilation would require specialized compilers for all languages that would cooperate. This is a tremendous job in itself.
Moreover, when you write pseudo-code you aren't worrying about the syntax. (If you are, you're doing it wrong.) You'll wind up with code that simply can't be compiled because it's incomplete or even contradictory.
And, assuming you overcame all these obstacles, how certain would you be that the pseudo-code was being interpreted the way you were thinking?
What you would have would be a new computer language, that you would have to write correct programs in. It would be a sprawling and ambiguous language, very difficult to work with properly. It would require great care in its use. It would be almost exactly what you don't want in pseudo-code. The value of pseudo-code is that you can quickly sketch out your algorithms, without worrying about the details. That would be completely lost.
If you want an easy-to-write language, learn one. Python is a good choice. Use pseudo-code for sketching out how processing is supposed to occur, not as a compilable language.
An interesting approach would be a "type-as-you-go" pseudocode interpreter. That is, you would set the language to be used up front, and then it would attempt to convert the pseudo code to real code, in real time, as you typed. An interactive facility could be used to clarify ambiguous stuff and allow corrections. Part of the mechanism could be a library of code which the converter tried to match. Over time, it could learn and adapt its translation based on the habits of a particular user.
People who program all the time will probably prefer to just use the language in most cases. However, I could see the above being a great boon to learners, "non-programmer programmers" such as scientists, and for use in brainstorming sessions with programmers of various languages and skill levels.
-Neil
Programs interpreting human input need to be given the option of saying "I don't know." The language PL/I is a famous example of a system designed to find a reasonable interpretation of anything resembling a computer program that could cause havoc when it guessed wrong: see http://horningtales.blogspot.com/2006/10/my-first-pli-program.html
Note that in the later language C++, when it resolves possible ambiguities it limits the scope of the type coercions it tries, and that it will flag an error if there is not a unique best interpretation.
I have a feeling that the answer to 2. is NO. All I need to prove it false is a code snippet that can be interpreted in more than one way by a competent programmer.
Does code already exist that
recognises the programming language
of a text file?
Yes, the Unix file command.
(Surely this must be a less
complicated task than eclipse's syntax
trees or than google translate's
language guessing feature, right?) In
fact, does the SO syntax highlighter
do anything like this?
As far as I can tell, SO has a one-size-fits-all syntax highlighter that tries to combine the keywords and comment syntax of every major language. Sometimes it gets it wrong:
def median(seq):
"""Returns the median of a list."""
seq_sorted = sorted(seq)
if len(seq) & 1:
# For an odd-length list, return the middle item
return seq_sorted[len(seq) // 2]
else:
# For an even-length list, return the mean of the 2 middle items
return (seq_sorted[len(seq) // 2 - 1] + seq_sorted[len(seq) // 2]) / 2
Note that SO's highlighter assumes that // starts a C++-style comment, but in Python it's the integer division operator.
This is going to be a major problem if you try to combine multiple languages into one. What do you do if the same token has different meanings in different languages? Similar situations are:
Is ^ exponentiation like in BASIC, or bitwise XOR like in C?
Is || logical OR like in C, or string concatenation like in SQL?
What is 1 + "2"? Is the number converted to a string (giving "12"), or is the string converted to a number (giving 3)?
Is there any language or interpreter
in existence, that can manage this
kind of flexible interpreting?
On another forum, I heard a story of a compiler (IIRC, for FORTRAN) that would compile any program regardless of syntax errors. If you had the line
= Y + Z
The compiler would recognize that a variable was missing and automatically convert the statement to X = Y + Z, regardless of whether you had an X in your program or not.
This programmer had a convention of starting comment blocks with a line of hyphens, like this:
C ----------------------------------------
But one day, they forgot the leading C, and the compiler choked trying to add dozens of variables between what it thought was subtraction operators.
"Flexible parsing" is not always a good thing.
To create a "pseudocode interpreter," it might be necessary to design a programming language that allows user-defined extensions to its syntax. There already are several programming languages with this feature, such as Coq, Seed7, Agda, and Lever. A particularly interesting example is the Inform programming language, since its syntax is essentially "structured English."
The Coq programming language allows "syntax extensions", so the language can be extended to parse new operators:
Notation "A /\ B" := (and A B).
Similarly, the Seed7 programming language can be extended to parse "pseudocode" using "structured syntax definitions." The while loop in Seed7 is defined in this way:
syntax expr: .while.().do.().end.while is -> 25;
Alternatively, it might be possible to "train" a statistical machine translation system to translate pseudocode into a real programming language, though this would require a large corpus of parallel texts.
I love Ruby, for past couple of years it is my language of choice.
But even since I started learning it, I was repelled with the fact that so often there are several ways to do the same (or equivalent) thing. I'll give couple of examples:
methods often have aliases, so you always have to bother to choose the most adequate, popular or commonly accepted alternative
and and or, besides && and || - just look at how much confusion precedence difference among them causes
for keyword, used almost exclusively by inexperienced non-native Ruby developers
What was the rationale behind such design decisions? Did they (Matz?) believe that the language will be easier to adopt, and therefore more popular that way?
Ruby is inspired by Perl, and one important Perl philosophy is "There is more than one way to do it", i.e. redunancies are fine since they give the programmer more freedom (and increases the odds that the functionality they want is available under the name they'd give it - not only under one). Your decision whether that's actually a good thing.
When Matz wrote Ruby, he tried to follow the 'Principle of Least Surprise'. Often this meant that there'd be more than one way to do the same thing, for example assigning to arrays by using square brackets, or an insert method. I enjoy it, because I find that rather than trying to remember which exact name to use in which situation (I always used to pause for a moment for size vs length in Java), I just just write what seems logical, and usually it will work. When reading the code, it's normally not a problem to use a different name, as the names are usually self-explanatory. So, I don't worry about which is most adequate or popular, I choose the most logical at the time.
Matz was also inspired by Perl, which has 'There's more than one way to do it' as its slogan.
I don't believe Matz was worried about what would be most popular, he just wanted to write the language he wanted to use.
I'm not going to try to explain and vs && though...
Beware that and vs. &&, though similar, have different precedence.
a = b && c # => equivalent to a = (b and c). a is set to a boolean.
a = b and c # => equivalent to (a = b) and c. a is set to b, and expression is a boolean.
There's more than one way to do it, but there may be subtle differences between them.
(update, just noticed you mentioned the precedence difference in your question... sorry. nothing to see here. move along.)
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Where would Erlang fall on the spectrum of conciseness between, say, Java/.net on the less concise end and Ruby/Python on the more concise end of the spectrum? I have an RSI problem so conciseness is particularly important to me for health reasons.
Conciseness as a language feature is ill defined and probably not uniform. Different languages could be more or less concise depending on the problem.
Erlang as a functional language can be very concise, beyond Ruby or Python. Specifically pattern matching often replaces if statements and recursion and list comprehensions can replace loops.
For example Java would have something like this:
String foobar(int number){
if (number == 0) {
return "foo";
} else if (number == 1) {
return "bar";
}
throw new Exception();
}
while Erlang code would look like:
foobar(0) -> "foo";
foobar(1) -> "bar".
With the exception being inherent because there is no clause for input other then 0 or 1. This is of cause a problem that lends itself well to Erlang style development.
In general anything you could define as a transformation will match a functional language particularly well and can be written very concise. Of cause many functional language zealots state that any problem in programming is a transformation.
Erlang allows you to realize functionallity in very few lines of code, compared to my experiences in Java and Python. Only Smalltalk or Scheme came near for me in the past. You've get only little overhead, but you typically tend to speaking identifiers for modules, functions, variables, and atoms. They make the code more readable. And you've got lot's of normal, curly, and square braces. So it depends on your keyboard layout how comfortable it will be. You should give it a try.
mue
Erlang is surprisingly concise especially when you want achieve performance and reliability.
Erlang is concise even when compared to Haskell:
http://thinkerlang.com/2006/01/01/haskell-vs-erlang-reloaded.html
And is surprisingly fast (and reliable) even when compared to C++:
http://www.erlang.se/euc/06/proceedings/1600Nystrom.ppt
(18x less SLOC is not surprise).
Anyway it always depends of your preferences and goal what you want achieve.
You have to spend some time, write code, to understand erlang's sweet spot, vs. all the other emerging tools, DHT, doc stores, mapreduce frameworks, hadoop, GPU, scala, ... If you try to do, say SIMD type apps outside the sweet spot, you'll probably end up fighting the paradigm and writing verbose code, whereas if you hit problems that need to scale servers and middleware seamlessly up and down, it flows naturally. (And the rise of scala in its sweet spot is inevitable, too, I think)
A good thing to look up would be the Tim Bray Wide Finder experiment (distilling big apache log files) from a couple years ago, and how he was disappointed with erlang.
I generally don't recommend putting much store in the Alioth shootout, given you inevitably end up comparing really good and bad code, but if you need to put numbers of LOC, erlang vs. C, ruby, whatever
https://benchmarksgame-team.pages.debian.net/benchmarksgame/faster/erlang.html
Today someone asked me what was wrong with their source code. It was obvious. "Use double equals in place of that single equal in that if statement. Um, I think..." As I remember some languages actually take a single equals for comparison. Since I sometimes forget or mix up the syntax details among the several languages I use, I stepped over to my laptop to try a quickie experiment.
It costs a bit of time and is a break in the flow to try "quick" experiments (though maybe the practice is good for memory.) What tips do you have for keeping straight in your mind the syntax (and other) details of multiple languages?
(And nowadays, this applies just as well to the many wiki-like markups!)
To me, the hardest part isn't the syntax -usually you get into the mode when looking at the code you're working on. The really hard part is remembering the library of the language so you don't go inventing the wheel over and over again. Now if only people would organize their help files so it was easy to search for particular stuff in the library.
IDEs that can draw red and yellow squiggles can help, until you develop that mental muscle memory.
One of the annoying things with XCode (for Cocoa/ObjectiveC) is that you don't get said squiggles until you compile. (As opposed to Eclipse/Java where you get live squiggles).
In my case it's just experience. I think once you code in a language for long enough your brain seems to be able to do language-context-switching with it.
Indeed, on SO I advised not to forget avoiding if (a = b) in Java, and someone reminded me that it is legal only if a and b are boolean! Of course, the advice is good for C, C++, JavaScript and a number of other C-like languages.
Likewise, I realized only recently that var v in JavaScript have a function-level scope only, not a brace-level scope.
Somehow, that's the pitfall of having similar syntaxes, but different behaviors.
For the anecdote, some people in the Lua mailing list complain that this language isn't C-like, with the terse and familiar curly braces, the += and ++, the bitwise operators. They say it hurts adoption of the language, because people are more familiar with C-like syntax.
That's non-sense, Basic was (and still is) widely used with its verbose syntax. And so is Pascal (Delphià. And lot of people find the Lua syntax readable and easy to learn, good for those non familiar to programming (game AI specialists, for example).
Moreover, and to the point, Lua is designed to be integrated to C/C++ programs and to be extended with C[++] functions. And people say the quite different syntaxes helps in the mindset shifting.
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As I do my coding I sometimes wonder if I'm doing things the best way or just the way it's always been done. Does what I'm doing make sense anymore?
For example, declaring all your variables at the top of the function. If I try to declare it twice or below where I start using it my IDE will bark at me at design time - so what's the big deal? It seems like it would make more sense to declare the variables right above the block where they'd be used.
Another one would be hungarian notation. I hate that all my variables related to a particular object are scattered throughout my intellisense.
With modern advancements in frameworks and IDE's, are there some coding practices that don't really apply anymore and others that may be just plain wrong now?
Don't declare variables above the block where they'll be used - declare them in the narrowest scope available, at the point of first use, assuming that's feasible in your language.
Hungarian notation will depend on the conventions for your language/platform. It also depends on which variety of Hungarian you're using - the sensible one (which I'm still not fond of) or the version which only restates the type information already available.
One thing to watch out for: when you take up a new language, make sure you take up the idioms for it at the same time, particularly the naming conventions. This will help your code fit in with the new language, rather than with your old (probably unrelated) code. I find it also helps me to think in tune with the new language as well, rather than fighting against it.
But yes, it's certainly worth revisiting coding practices periodically. If you can't decide why something's a good idea, try doing without it for a while...
Accidental assignment protection:
Putting the lvalue on the right hand side is not needed in some newer languages like C#.
In C# the following won't compile:
if (variable = 0)
So in C# there is no need to do:
if (0 == variable)
This practice is very common in C/C++ programs to avoid accidental assignments that were meant to be comparisons.
Multiple return points:
Disallowing multiple return points was enforced mainly because you don't want to forget to delete your variables.
Instead if you just use RAII you don't need to worry about it.
Disclaimer: There are still good reasons to minimize multiple return points, and sometimes it is useful to have only one.
Header files
In most modern languages, you do not separate your code into declaration and definition.
C++ defines for multiple header file includes
In C++ you used to often do:
#ifdef _MYFILE_H_
#define _MYFILE_H_
//code here
#endif
This sometimes would lead to something like the following though:
#ifdef _MYFILE_H_
#define _WRONGNAME_H_
//code here
#endif
A better way to do this if your compiler supports it:
#pragma once
C variable declarations
With C you had to declare all variables at the top of your block of code. Even later versions of C didn't require this though, but people still do it.
Hungarian notation: (Read, contains some unique info)
Hungarian notation can still be good. But I don't mean that kind of hungarian notation.
Before it was very important in C to have things like:
int iX = 5;
char szX[1024];
strcpy(szX, "5");
Because you could have completely type unsafe functions like:
printf("%i", iX);
Now if I would have called the string x, my program would have crashed.
Of course the fix to this is to use only typesafe functions. So as long as you do that you don't need hungarian notation in this sense.
But still it is a good idea as discussed by Joel in his sense.
I used to separate all my line numbers by 10, starting each logically separate piece of code at intervals of 100 or 1000 i.e.
10 Print "Hello"
20 Gosub 100
30 'Peeks and Pokes
For obvious reasons, I no longer code like this.
Short identifiers: many old-school coders use short, cryptic identifiers. Brevity is a useful virtue but considering that a good IDE has auto-complete, a descriptive name is far better than something easy to type.
Short lines: Some people insist on 80-column text. The rest of us have real monitors and don't mind if a line is longer than 80 chars. It can improve readability to have longer lines.
Aligning in columns (e.g. variables in declarations or = in assignments).
It is a pain to maintain manually, automatic renaming will mess it up anyway, some lines get very long with things belonging together wide apart so you struggle to see the relation.
Like it's been said before, don't try to adapt one language's idioms to another. This is especially true in drastically different languages, such as going from C++ to Python. Also (this might just be a question of personal style), I used to declare a variable, then assign it a value later. I find it much faster and space-efficient to just declare and define it at the same time.
As far as variable declaration, the best place to declare them is just before they are used. If your function/procedure is so large that there are tons of variables declared at the top, consider refactoring the function into multiple, smaller ones.
As far as Hungarian Notation goes, the same answer applies. If the function is so large that you can't quickly spot the definition of the variable (even though it should be declared just before being used), then consider refactoring.
In most cases, a well written, well refactored function should make variable declaration and data type obvious with a quick glance at the code page.
Although it is in Java, this is the book I recommend for people who want to optimize/modernize their coding style: http://www.amazon.com/Implementation-Patterns-Addison-Wesley-Signature-Kent/dp/0321413091
With modern advancements in frameworks and IDE's, are there some coding practices that don't really apply anymore and others that may be just plain wrong now
Depends on the language to a large extent.
W.r.t C:
Using the register keyword
W.r.t C++:
Abusing static; now you are supposed to use namespaces even if anonymous ones
Or, did I misunderstand your question?
Manual ref counting of a pointer is an old practice that drives me absolutely crazy. I fix around 1-2 bugs a month because someone tried to be smart and manually ref count a pointer. Just use a smart pointer. It will save you time.
The variables at the top make sense in a language like javascript. It doesn't has block scope, so it does simplifies the reading.
Consider a function body that contains:
//some code
if(something)
{
var c = 123;
}
alert(c); // gives 123 when the if is executed and undefined when it doesn't.
That is a remainder that each language is different and that definitely can affect what is and isn't appropriate. Also consider the code you use in the related framework usually uses a certain coding style, if you go with something radically different you will inevitable end up with mixed styles.
Update: The above in javascript is changing (as mentioned in a comment). It doesn't seem to be broadly supported (didn't find a good link on it thought :(), which is also a reminder we can't rush into the new features without considering the context we use them.