Why Julia is not indentation-based like Python? - indentation

I really like the indentation-based syntax of Python; it makes code much more terse.
Is there a reason why Julia was not chosen to be indentation-based as well?
Please note that my intention is solely to learn about the motives that Julia developers had behind this decision; whether we agree or not with those motives is another discussion. I do not intend to start a never-ending discussion.

See this post on julia-users:
https://groups.google.com/d/topic/julia-users/lOmwPvOKc-o/discussion
From Stefan Karpinski
It's a matter of taste – and the fact that we wanted Julia to feel familiar in particular to Matlab users (and to a lesser extent Ruby users). I personally don't like significant indentation. It gets really awkward and fiddly when you're trying to cut and paste into a terminal or into an editor. I've seen a significant number of live Python demos flounder as the presenter struggled with indentation issues. It feels to me like Python programs trail off into space with never-ending scopes. Jeff and Viral both happen to feel similarly, so Julia ended up looking more like Matlab than like Python.

It was the taste of the developers (more matlab orientated). That is unfortunate for python users, who will miss more nice feature of python. See also https://groups.google.com/g/julia-users/c/itZDMNEoIW0/m/V-2YYpJdBmwJ

Related

create my own programming language [duplicate]

This question already has answers here:
Closed 12 years ago.
Possible Duplicates:
References Needed for Implementing an Interpreter in C/C++
How to create a language these days?
Learning to write a compiler
I know some c++, VERY good at php, pro at css html, okay at javascript. So I was thinking of how was c++ created I mean how can computer understand what codes mean? How can it read... so is it possible I can create my own language and how?
If you're interested in compiler design ("how can computer understand what codes mean"), I highly recommend Dragon Book. I used it while in college and went as far as to create programming language myself.
"Every now and then I feel a temptation to design a programming
language but then I just lie down until it goes away." — L. Peter
Deutsch
EDIT (for those who crave context):
"[L. Peter Deutsch] also wrote the PDP-1 Lisp 1.5 implementation, Basic PDP-1 LISP, 'while still in short pants' between the age of 12-15 years old."
If you want to understand how the computer understands the code, you might want to learn some assembly language. It's a much lower-level language and will give you a better feel for the kinds of simple instructions that really get executed. You should also be able to get a feel for how one implements higher level constructs like loops with only conditional jumps.
For an even lower-level understanding, you'll need to study up on electronics. Digital logic shows you how you can take electronic "gates" and implement a generic CPU that can understand the machine code generated from the assembly language code.
For really-low level stuff, you can study material science which can teach you how to actually make the gates work at an atomic level.
You sound like a resourceful person. You'll want to hunt down books and/or websites on these topics tailored to your level of understanding and that focus on what you're interested in the most. A fairly complete understanding of all of this comes with a BS degree in computer science or computer engineering, but many things are quite understandable to a motivated person in your position.
Yes it's possible to create your own language. Take a look at compiler compilers. Or the source code to some scripting languages if you dare. Some useful tools are yacc and bison and lexx.
Others have mentioned the dragon book. We used a book that I think was called "compiler theory and practice" back in my university days.
It's not necessary to learn assembler to write a language. For example, Javascript runs in something called an interpreter which is an application that executes javascript files. In thise case, the interpreter is usually built into the browser.
The easiest starting program language might be to write a simple text based calculator. i.e. taking a text file, run through it and perform the calculations. You could write that in C++ very easily.
My first language for a college project was a language defined in BNF given to us. We then had to write a parser which parsed it into a tree structure in memory and then into something called 3 address code (which is assembler like). You could quite easily turn 3 address code into either real assembler or write an interpreter for that.
Yup! It's definitely possible. Others have mentioned the Dragon Book, but there is also plenty of information online. llvm, for example, has a tutorial on implementing a programming language: http://llvm.org/docs/tutorial/
I really recommend Programming Language Pragmatics. It's a great book that takes you all the way from what a language is through how compilers work and creating your own. It's a bit more accessible than the Dragon Book and explains how things work before jumping in headfirst.
It is possible. You should learn about compilers and/or interpreters: what they are for and how they are made.
Start learning ASM and reading up on how byte code works and you might have a chance :)
If you know C -- it sounds like you do -- grab a used copy of this ancient book:
http://www.amazon.com/Craft-Take-Charge-Programming-Book-Disk/dp/0078818826
In it there's a chapter where the author creates a "C" interpreter, in C. It's not academically serious like the Dragon book would be, but I remember it being pretty simple, very practical and easy to follow, and since you're just getting started, it would be an awesome introduction to the ideas of a "grammar" for languages, and "tokenizing" a program.
It would be a perfect place for you to start. Also, at $0.01 for a used copy, cheaper than the Dragon Book. ;)
Start with creating a parser. Read up on EBNF grammars. This will answer your question about how the computer can read code. This is a very advanced topic, so don't expect too much of yourself, but have fun. Some resources I've used for this are bison, flex, and PLY.
Yes! Getting interested in compilers was my hook into professional CS (previously I'd been on a route to EE, and only formally switched sides in college), it's a great way to learn a TON about a wide range of computer science topics. You're a bit younger (I was in high school when I started fooling around with parsers and interpreters), but there's a whole lot more information at your fingertips these days.
Start small: Design the tiniest language you can possibly think of -- start with nothing more than a simple math calculator that allows variable assignment and substitution. When you get adventurous, try adding "if" or loops. Forget arcane tools like lex and yacc, try writing a simple recursive descent parser by hand, maybe convert to simple bytecodes and write an interpreter for it (avoid all the hard parts of understanding assembly for a particular machine, register allocation, etc.). You'll learn a tremendous amount just with this project.
Like others, I recommend the Dragon book (1986 edition, I don't like the new one, frankly).
I'll add that for your other projects, I recommending using C or C++, ditch PHP, not because I'm a language bigot, but just because I think that working through the difficulties in C/C++ will teach you a lot more about underlying machine architecture and compiler issues.
(Note: if you were a professional, the advice would be NOT to create a new language. That's almost never the right solution. But as a project for learning and exploration, it's fantastic.)
If you want a really general (but very well written) introduction to this topic -- computing fundamentals -- I highly recommend a book titled Code by Charles Petzold. He explains a number of topics you are interest and from there you can decide what you want to create yourself.
Check out this book,
The Elements of Computing Systems: Building a Modern Computer from First Principles it takes you step by step through several aspects of designing a computer language, a compiler, a vm, the assembler, and the computer. I think this could help you answer some of your questions.

Picking a front-end/interpreter for a scientific code

The simulation tool I have developed over the past couple of years, is written in C++ and currently has a tcl interpreted front-end. It was written such that it can be run either in an interactive shell, or by passing an input file. Either way, the input file is written in tcl (with many additional simulation-specific commands I have added). This allows for quite powerful input files (e.g.- when running monte-carlo sims, random distributions can be programmed as tcl procedures directly in the input file).
Unfortunately, I am finding that the tcl interpreter is becoming somewhat limited compared to what more modern interpreted languages have to offer, and its syntax seems a bit arcane. Since the computational engine was written as a library with a c-compatible API, it should be straightforward to write alternative front-ends, and I am thinking of moving to a new interpreter, however I am having a bit of a time choosing (mostly because I don't have significant experience with many interpreted languages). The options I have begun to explore are as follows:
Remaining with tcl:
Pros:
- No need to change the existing code.
- Existing input files stay the same. (though I'd probably keep the tcl front end as an option)
- Mature language with lots of community support.
Cons:
- Feeling limited by the language syntax.
- Getting complaints from users as to the difficulty of learning tcl.
Python:
Pros:
- Modern interpreter, known to be quite efficient.
- Large, active community.
- Well known scientific and mathematical modules, such as scipy.
- Commonly used in the academic Scientific/engineering community (typical users of my code)
Cons:
- I've never used it and thus would take time to learn the language (this is also a pro, as I've been meaning to learn python for quite some time)
- Strict formatting of the input files (indentation, etc..)
Matlab:
Pros:
- Very power and widely used mathematical tool
- Powerful built-in visualization/plotting.
- Extensible, through community submitted code, as well as commercial toolboxes.
- Many in science/engineering academia is familiar with and comfortable with matlab.
Cons:
- Can not distribute as an executable- would need to be an add-on/toolbox.
- Would require (?) the matlab compiler (which is pricy).
- Requires Matlab, which is also pricy.
These pros and cons are what I've been able to come up with, though I have very little experience with interpreted languages in general. I'd love to hear any thoughts on both the interpreters I've proposed here, if these pros/cons listed are legitimate, and any other interpreters I haven't thought of (e.g.- would php be appropriate for something like this? lua?). First hand experience with embedding an interpreter in your code is definitely a plus!
I was a strong Tcl/Tk proponent from pre-release, until I did a largish project with it and found how unmaintainable it is. Unfortunately, since prototypes are so easy in Tcl, you wind up with "one-off" scripts taking on lives of their own.
Having adopted Python in the last few months, I'm finding it to be all that Tcl promised and a whole lot more. As many a Python veteran can tell you, source indentation is a bother for the first hour at most and then it seems not a hindrance but affirmatively helpful. Incidentally Tcl's author, John Ousterhout was alternately praised and panned for writing a language that forced the One True Brace Style on Tcl coders (I was 1TBS so it was fine by me).
The only Tcl constructs that aren't handled well by Python are arbitrary eval "${prefix}${command} arg" constructs that shouldn't be used in Tcl anyway but are and the uplevel type statements (which were a nice idea but made for some hairy code). Indeed, Python feels a little antagonistic to dynamic eval but I think that is a Good Thing. Unfortunately, I've yet to come along with a language that embraced its GUI as well as Tcl/Tk; Tkinter does the job in Python but it hurts.
I cannot speak to Matlab at all.
With a few months of Python under my belt, I'd almost certainly port any Tcl program that is in ongoing development to Python for purposes of sanity.
Have you considered using Octave? From what I gather, it is nearly a drop-in replacement for much of matlab. This might allow you to support matlab for those who have it, and a free alternative for those who don't. Since the "meat" of your program appears to be written in another language, the performance considerations seem to be not as important as providing an environment that has: plotting and visualization capabilities, is cross-platform, has a big user base, and in a language that nearly everyone in academia and/or involved with modelling fluid flow probably already knows. Matlab/Octave can potentially have all of those.
Well, unless there are any other suggestions, the final answer I have arrived at is to go with Python.
I seriously considered matlab/octave, but when reading the octave API and matlab API, they are different enough that I'd need to build separate interfaces for each (or get very creative with macros). With python I end up with a single, easier to maintain codebase for the front end, and it is used by just about everyone we know. Thanks for the tips/feedback everyone!

What is a good programming language for testers who are not great programmers? [closed]

Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
We don’t allow questions seeking recommendations for books, tools, software libraries, and more. You can edit the question so it can be answered with facts and citations.
Closed 3 years ago.
Improve this question
We would like to create some simple automated tests that will be created and maintained by testers. Right now we have a tester who can code in any language, but in the future we might want any tester with a limited knowledge of programming to be able to add or modify the tests.
What is a good programming language for testers who are not great programmers, or programmers at all?
Someone suggested LUA, but I looked into LUA and it might be more complicated that another language would be.
Preferably, the language will be interpreted and not be compiled. Let me know what you think.
Update: C and C++ are under the hood. No one is aspiring to be a programmer really ... it just might be something they could potentially work on if they can handle the task.
Update 2: I am a software engineer who happens to be a tester right now. I am very knowledgeable about the entire lifecycle ... including developing code, so for me I could go with any language but I'm trying to think of other testers who aren't as knowledgeable about programming as I am.
Update 3: The language will need to be able to make calls to the C++ code easily.
You may not even need language depending on what you are testing you can use
Test Modeling tools like CubicTest: http://cubictest.seleniumhq.org/
Highly recommend you check that out if you are doing Web Applications.
Our QA team had great success with it.
Otherwise I would recommend a Domain Specific Language over a General Purpose Language in your problem domain. The DSL might actually be a subset of a GPL (for example Rake for Ruby) so google carefully.
If you can not find an existing DSL then:
Create a DSL for your testers using Ruby or Scheme. Those two languages are the
easiest to create Domain Specific languages.
Python If all else fails and they need a GPL than Python is by far the easiest language to learn IMHO.
EDIT - Based on your updated requirements, Python might be the best fit. I have found it very easy to call C or C++ with Python CTypes. However I am sure Ruby has something equally as good.
I always reccomend Python.
People always think i am crazy, but it is the easiest and most flexible to show people. And you could always design some type of "test" framework, and only expose them to a very small subset of it.
And you can always refer them to :
(source: barnesandnoble.com)
I think that before actually choosing a language, we should define even more precisely what you are looking for.
Garbage collected, as we don't want people to have to understand memory management!!
Good number of modules/libraries around, so as not to reinvent the wheel
Preferably coming up with already existing (and tested) unit-test frameworks
Good documentation for the modules/libraries
Preferably scripting language, because tests have to be modified/run quickly
Easy interaction with C/C++, though the developers will have to provide the interface
And, perhaps most important of all:
clear and "english-like" syntax, so that it will be (at least) readable by non-tech people
Based on this list, I would recommend Python.
It's perhaps the programming language (having reached a critical mass) that is the closest to traditional english / algorithm expressions. It's certainly one of those with the least punctuation / weird symbols that throw off non-programmers
It comes immediately with so much modules that it's unlikely you'll have to dig for more any time soon... comprising a unittest module
The documentation is really good, generally illustrated by examples
It is quite simple to interface it with C
You can even run Python scripts from Java using JPython ;)
We have a in-house software for our non-regression tests. While it's been programmed in Java (probably for the GUI part and the Windows/Unix portability requirement), Python has been elected as the language to use within the non-regression tests themselves.
This is used mostly by our QA people, and even beginners usually take to it pretty easily, even when they don't have any programming background at all.
Note: I don't have any practical experience with LUA, so I am unable to choose between Python or LUA. However, having use both Python and Ruby, I must say that I have found Python much more readable (loop constructs / punctuation). Just make sure not to pick up Perl ;)
Depends a bit on what you want, but for my money Ruby is probably the most comprehensible language around.
Also if you're working with web stuff, then Watir gives you a lot of testing functionality right there.
If your ambition is at all to become a programmer, I'd suggest using the language of the system you're testing.
The experience will make you a better programmer, and the knowledge can only make you a better tester.
Python is a very simple and useful language to understand. Some even compare it to writing pseudocode. It also comes with its own unit testing framework.
EDIT: It also comes with a C API.
I think the better question might be what do you plan on doing with the programs created. I have done Java, html, css, php, mysql, vb, C#, etc, etc. Out of all of them, the fundementals remain the same. You always have the same type of logic from language to language. IF ELSE statements, for loops etc. However if your not planning on creating self loading programs then you would go for something that wouldn't do that.
Persoanlly Java is difficult but allows for a lot of portability. Don't just go with what's easiest, because you might not be able to do anything with it in the future.
EDIT *
if you are still interested, java has the ability to make calls to C++, but not without it's share of problems. Link this link has a look at making calls, but might be a little too involved if you're only hoping to show introductory programming.
Ok, as I understand the question it is really, how can I let non-programmer's write automated tests for an app written in c++? So in this context I would suggest taking a look at Fit and FitNesse.
Fit is essentially a table based F ramework for I ntegration T esting. The idea is that you hook fixtures up into the code to test and those fixtures are then controlled in different ways using nothing more than tables or in the case of FitNesse simple wiki markup which creates the tables under the hood.
The advantage of this is that there is no programming language involved at all. They just need to know what fixtures you have exposed and the proper usage for them.
The drawback of this is that it can be difficult at first to map out the fixtures you need/want for your tests. Also, it is generally more maintenance than using like a unit test framework where the tests are all just in code.

Should I learn Python after C++? [closed]

As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. If you feel that this question can be improved and possibly reopened, visit the help center for guidance.
Closed 10 years ago.
I`m currently studying C++ and want to learn another language.
For work I use C# + ASP (just started learning it, actually), but I want something "less Microsoft" and powerful.
I have heard Python is a popular and powerful language, not so complicated as C++. But many people mentioned it was hard for them to get back to C++/Java from Python because they started thinking in it, get used to absence of memory management, etc.
What do you recommend?
There's no right or wrong answer, really. But I think you'll benefit more from learning Python. Given the similarities between C# and C++, you'll learn a different way of thinking from Python. The more ways you learn to think about a problem, the better it makes you as a programmer, regardless of the language.
The benefit of going from a more static language to a dynamic language is to change your programming paradigm -- it's not a matter of becoming "lazy" so much as realizing new ways of accomplishing things, which will make you better in any language.
Well, I've learnt Python after C/C++, Java and C#. Python is a great language, and its simplicity and consistency have improved the way I code. It has also helped me think more clearly about the algorithms underlying my code. I could go on about the benifits it brought me, instead I'll summarize the reason to learn it ->
Learning a new lanuage doesn't take away, it adds to your programming skill and keeps you sharp by teaching you to shift between the frames of mind that each language requires.
So go out there and learn Python. Your code will improve(TM).
P.S.
1.You'll lose C++ (or any other language) skills, if you neglect their upkeep and maintainance. Thats entirely up to you.
2.Programmer (intelligent) laziness is a virtue.
Many would argue that you would benefit from learning Python before C++.
The syntax hurdles are much, much lower;
Debugging is much more friendly
There are a plethora of libraries---batteries included, you know. It's easy to
experiment with web scraping, XML, etc. in Python. Again, the barriers to entry
in C++ are much higher.
It's still good to learn C/C++, because of its close connection to the machine. But a new programmer can learn an awful lot from exploring in Python.
I don't think that "Python makes you lazy" (nice title, anyway!).
On the contrary, in programming as in life, knowing more than one language is important; I think you'll find python amusing and sufficiently different from C++ or C# so that the languages will not get mixed in your head...
Python is complementary to C++ and easy to integrate with C++. (As evidence of this claim, the C++ gurus from Boost use Python.)
And as you said, Python gives you a way to get a perspective outside the Microsoft orbit. But even there, if you need to integrate Python with MS tools, there's IronPython.
Learning more languages can only make you a better developer, regardless of their approach. Besides, your experience with C++ (or, at least C) will come in handy for writing high-performance parts of your applications using Python's C API, which lets "raw" C and C++ code intermingle nicely with the pure Python stuff.
I still write code in Objective-C (1.0... before memory management) and Python on a daily basis. The variety is actually fun, rather than confusing; keeps things from being boring.
Flex your brain and improve your skill set. Give a functional language a whirl.
I learned C/C++, Java, Python & C# in that order.
The two I actually invariably end up using are C++ & Python; I find the niche Java & C# occupy between them to be too narrow to feel the need to use them much (at least for the stuff I do).
I also think I didn't really "get" C++ functors and boost::bind until I'd been exposed to Python.
Many languages are quite similar to others, but to move between imperitave and functional / dynamic and static / Object and Procedural languages you do need to train yourself to think within the constraints of the language you are using. Since most projects are at least a few weeks, this is generally not a problem after the first few days.
You will find it more difficult to switch away from a language+environment you enjoy in your after-hours / hobby development.
C, Macro Assembler => basically the same - difference is mainly libraries
C++, Java, C#, Delphi => basically the same paradigm - you learn quickly how to leverage the features of the specific language and adopt concepts from one syntax to another. It's basically the same way of thinking, the biggest exception is how you think of memory manangement.
Python - good language, strategically a better choice than ruby, although there are other aspects of ruby that can be argued to be superior. What make python a good choice is the presence of a formal language body which keeps python environments on different platforms very compatible to one another.
If you are interested, read this http://cmdematos.com/?p=120 on making a strategic language choice.
It is up to what exactly is the kind of applications you want to program, for example for Websites that need access to databases I would go for Ruby( and Ruby on Rails framework ) , for financial applications or applications that need a lot of parallel processing I would go for a funcional programming language like Haskell, oCaml or the new F#, these last 3 wil make you a better programer even if you don't programm a lot in them , by the way c# has been lately in the latest versions adding more and more funcional programming features. I would learn Python for a security and exploits kinds of applications.
You could learn a new programming language, like python, and use it to do all the tasks you'd normally perform in your 'core' languages; or you could take a language (like python, or perl) and use it to complement your core language.
You could learn VBScript and use it to write scripts that glue your code and others together. If you want something less Microsoft, then python, perl or bash scripting would be a good idea - not just to learn how to code in the new, but also how to do things differently from the usual 'code an app' way.
From a utility perspective, it is good to learn one of the more dynamic languages like Python (or Ruby or Perl) too. Not only do they stretch your mind, but they are superior for certain kinds of tasks. If you want to manipulate text, for example, C++ is a lot harder to use than Python. It gives you another arrow in your quiver to use when appropriate.
I learned, in order:
BASIC
Pascal
Ada
(A little bit of Haskell)
Java
Python
C++
C#
I don't feel Python inhibited my ability to learn or use C++. I am glad though that I learned pointers in Pascal before encountering reference types in Java, Python and C#, because I feel it gave me a good basis to understand the idea of the differences between "value types" and "reference types". I think for me the most important of those languages are Python, Haskell and C++. All of them complement each other, and although there are times I'm working in one and wish I had a feature from another, on the whole I think I benefit greatly from a deeper understanding of things like type systems, object orientation and metaprogramming by seeing the different ways these languages approach these things.
Try LISP instead (or afterwards, it's your call). You are at least partially right, though. using Python for a while makes you not want to go back to a statically typed and compiled language. It's just sooo much more comfortable not to have to please the compiler like ALL THE TIME ;). And yet another aspect is the readability of python code, which is awesome.
It is true. After learning python, everything else will seem like too much effort for the same amount of real work being done. You'll get used to the clean, small syntax and the freedom of GC. You will enjoy working in list comps, generators, etc. You'll start to think in python and C++ and Java will be like building a ship in a bottle one twiggy little stick at a time.
But since it's that much easier, doesn't it tempt you to try it all the more?
I think it is always good to know several programming languages. I've learned c++ at school and I've used it a lot in the past years because it is really a standard in the industry. I've learned python by my own and I am using it to make a lot of nice tools that would be too long to write in c++.
Python has just a very positive influence on my c++ skills. It gives another way to think.

What languages have higher levels of abstraction and require less manual memory management than C++?

I have been learning C++ for a while now, I find it very powerful. But, the problem is the the level of abstraction is not much and I have to do memory management myself.
What are the languages that I can use which uses a higher level of abstraction.
Java, C#, Ruby, Python and JavaScript are probably the big choices before you.
Java and C# are not hugely different languages. This big difference you'll find from C++ is memory management (i.e. objects are automatically freed when they are no longer referenced). You would chose these if you were interested in desktop style applications, or keen on static typing (and you'd probably choose between them based on how you feel towards Microsoft and the Windows platform). In both cases you'll find much richer standard libraries than you'll be used to from C++.
Python and Ruby take a step away from static typing, into a world where you can call and method on any object (and fail at runtime if it's not there). That is both a blessing (a lot less boilerplate code) and a curse (the compiler can't catch those errors for you anymore). Once again, you'll find they have richer standard libraries, and are higer level again than Java / C#. Performance is the main downfall, with Python being somewhat faster than Ruby as I understand it. To choose between them, you'd probably choose Ruby if you're interesting in web development for the Ruby on Rails framework community, and otherwise go with Python.
JavaScript is even more different from C++ in that it does away with classes entirely. Objects are simply cloned from other objects and can have methods and properties added to them at runtime. Very flexible, but also very easy to make into a total mess. JavaScript is the only real choice if you're interested in running applications in a browser, which is really coming into its own as a platform. You'll find the standard libraries available rather limited if you're not doing a lot with the browser, but there are quite a few good frameworks which fill in some of the gaps.
Some other interesting, though more niche choices are
Smalltalk - More or less in the Ruby and Python camp, and significantly faster as I understand it. Be careful though _ I've seen lots of good engineers learn Smalltalk and never come back ;)
Objective-C - When C went object oriented, C++ went one way (static typing), and Objective-C went the other (dynamic typing). It's quite Smalltalk inspired, and has a good standard library if you're in Mac / iPhone land. In terms of memory management, unlike everything else I've listed, it's not garbage collected (though that's now an option on Mac OS X 10.5), but it does have a reference counting scheme which makes life significantly simpler than managing memory by hand.
Lisp - I've never learnt it myself beyond what I needed for minor Emacs hacking. As I understand it, the libraries were nice in their day, but though the language remains supremely elegant, they've fallen a little behind the times.
Haskel - If you wanted a complete break from objects and classes, Haskel and it's functional approach is an interesting way to go (or Lisp as above, or F# if you are in .Net land). Basically, you're giving up loops and variables in favour of doing everything recursively. Takes some time to wrap your mind around, and probably isn't practical for most real world applications, but it's a good one to learn.
Eiffel - I love it - Very clean syntax, and designed for serious engineering type systems. Statically types like C# and Java, and with a weaker standard library, but it will make you really think about language and class library design.
ActionScript and Flex - The programming interface to Flash, which is based on what seems to be a statically typed version of JavaScript. I've played with it a bit, and it's quite slick if you're interested in developing media based applications. You can also push beyond the browser with Flex and into the Air platform to build real desktop apps.
I would say that from your question you probably haven't finished learning about C++. If you're still doing your own memory managment then you still have a long way to go my friend!
Check out the auto_ptr and shared_ptr - check out the Boost libraries.
Similarly with abstraction - what are you specifically complaining about? AFAIK there's not much you can't do with C++ that is present in other strongly-typed languages.
I know this doesn't answer your question - you want to move forwards, but C++ is one of those things where you never really stop learning. If you get bored, take a brief foray into templates and template meta-programming...
I see a lot of excellent suggestions so far. However, I think there's something missing, assembler.
Why learn assembly language?
It's not as difficult as you may think. Assembly language is a lot smaller in scope than many modern languages, there are a few tricks you need to understand for it to make sense, but it's not that complicated.
It broadens your knowledge base. Knowing the fundamentals is almost always beneficial, even when working at a high level.
It can be extremely useful when debugging. Especially debugging native code without the source, the knowledge you gain from learning assembler enhances your ability to debug in these situations by leaps and bounds.
It gives you more options. When the rare circumstance comes up where assembly code is needed you won't be helpless.
It's good for your resume. It shows that you learn beyond just the bare minimum needed to keep your current job, it shows a curiosity about fundamentals, and it puts you in a different class of programmers, and that class tends to be more experienced and more capable.
It's just plain cool.
Some assembly language resources:
Sandpile.org (assembly language / processor architecture reference)
Gavin's Guide to 80x86 Assembly (a decent online tutorial)
Assembly Language for Intel-Based Computers (5e) (a decent textbook for x86 assembly)
Trying something really foreign like Haskell will allow you to think in different ways. It also helps you to think recursively. C++ has recursion but it infiltrates many more parts of functional languages.
ditto Lisp,.. or scheme
Even if you don't ever use it, it's handy. I only really got template programming after learning it.
Another one is prolog. it puts you in a non sequential mindset.
If you're comfortable with C++ syntax and style, you might find D to be an interesting language. Or if you want to branch out, any of Python, C#, Java, Ruby would be excellent choices.
C# if you're in the Microsoft ecosystem.
Python and Ruby seem to have the most traction in the Linux/Unix/etc space.
ObjectiveC is dominant on the Macintosh and iPhone. The most recent MacOS implements garbage collection for a subset of the frameworks, but to use the rest you'd have to do resource management yourself.
You could learn Java, as it does garbage collection as well, but the number of frameworks you'd need to become familiar with to be a productive Java developer is daunting.
Well if you're looking for a very high level of abstraction and memory management then I'd say lisp would be an ideal candidate. I'm learning it now, slowly, and it's the most fun I've had with a new language.
Having said that Python or Ruby may be a better compromise between expressiveness and popularity. Python's Django framework is one of the better RAD frameworks if you're looking for web application stuff.
I'd say it depends on the kind of programming you want to try. If you want to stay on the OOP side, learn Python or Ruby, both languages provide an easy way to create bindings to use your C++ code from a script (for efficiency reasons).
If you need another approach to programming, learn a "functional" language like Lisp or Haskell.
And if you need to include a fast and small scripting language inside your C++ application, try Lua.
Last but not least, if you know Java and hate it, you can try Scala, a language where you can mix your Java classes with your Scala code, very interesting.
Scheme.
The Little Schemer and Structure and Interpretation of Computer Program will stretch your mind in strange and wonderful ways.
DrScheme is a good IDE for beginners. The Scheme Programming Language makes a good, free reference.
try c# much :)
if you want to abstract memory management, Java comes to my mind instantly.
I suggest learning database design and a query language such as SQL.
You can start with a desktop tool like Microsoft Access or use the free SQL Server Express or Postgre or MySQL.
Well I think there is no predefined route in learning programming languages. You may learn your next lang based on your job needs, academic research, just for fun, etc. There are many options.
In you feel comfortable in C++, you can go down and learn some assembly. It's a dark art but you'll be glad when you encounter some hard debugging session.
In terms of more abstraction, Smalltalk is extremely fun, OOP-pure and 100% dynamic (debugging is a pleasant thing to do, which is not in static-typed languages). Dolphin Smalltalk is a good implementation for Windows, even the free community edition gives enough to play with. In multiplatform Smalltalk VMs, go for Visualworks or Squeak. Visualworks is extremely stable and comes with a lot of documentation.
Python is used today in many, many fields. I don't know anything about Python excepting the basic syntax and semantics, but it's required today for many jobs.
Java it's, well Java. It's interesting that Java never catch on me. You may get interested on Java, altough. Ask here for advantages of using it over C++ or other OOP languages.
For Web development go for Javascript, specially considering the AJAX wave. It's getting interesting those days. We've talked about Smalltalk, all right, Seaside is an amazing framework for web development. It works (at least I tried on) Squeak /Visualworks... it's beatiful.
Well, there are a lot of more to get your hands on: Scheme, LISP, Ruby, Lua, Bash (!), Perl (ugh), Haskell... Try them all and have fun!
Qt
Why not learn Qt? Its a great application development framework available on all platforms and even mobile devices!
Clojure is well worth exploring as it meets both of your criteria:
It has a strong emphasis on programming with higher level abstractions. see e.g. this video: Clojure: The Art of Abstraction
It has automatic memory management / garbage collection (via the JVM, which has some of the world's best GC implementations)
I'll give some examples using just one abstraction: in Clojure you can manipulate pretty much any data structure via the sequence abstraction.
;; treat a vector as a sequence and reverse it
(reverse [1 2 3 4 5])
=> (5 4 3 2 1)
;; Take 10 items from a infinite sequence
(take 10 (range))
=> (0 1 2 3 4 5 6 7 8 9)
;; Treat a String as a sequence of characters, calculate the frequencies
(frequencies "abracadabra")
=> {\a 5, \b 2, \r 2, \c 1, \d 1}
;; Define an infinite lazy sequence of fibonacci numbers, take the first 10
(def fibs (concat [0 1] (lazy-seq (map + fibs (rest fibs)))))
(take 10 fibs)
=> (0 1 1 2 3 5 8 13 21 34)
Since you are already into C++, next step would be to learn .Net through managed C++ or managed extensions for C++..this will get you a step in the big world of .Net framework..Once you understand the framework, makes it more comfortable to learn other .Net languages like C#, VB.Net etc.
One of the areas that MC++ excels in, and is in fact unique in amongst the .NET languages, is the ability to take an existing unmanaged (C++) application, recompile it with the /clr switch, have it generate MSIL and then run under the CLR. This extraordinary feat is aptly termed "It Just Works (IJW)!" There are some limitations, but for the most part, the application will just run. The C++ code can consist of old-fashioned printf statements, MFC, ATL, or even templates!
I recommend python as it's not only a sexy language, but also very widely used and easy to integrate with C++ through Boost.Python.
But as Thomi said, there's lot to explore in C++ and with the help of Boost libraries it's becoming really easy to develop in.
Rather than suggest a specific language, I would recommend you pick any language or languages that offer the following 4 features:
Automatic Memory Management
Reflection/Introspection
Declarative/Functional constructs(e.g. lambda functions)
Duck Typing
The idea here is to expand your programming perspective to include concepts that the C++ language does not offer you out of the box.
It depends on what you want to do. If you have some specific tasks that you are interested in accomplishing then look at languages that are best for those types of tasks. The best way to learn a language is to actually use it.
I'd say get started with Python. It has a higher level of abstraction and it teaches you the importance of indenting and making "pretty" code. Not that "pretty" is very important, but it will make the future maintainer of your code a lot happier :)
There's a lot of example code out there, and if you are into Linux there are various distributions out there who have all (or most) of their tools based on the language. If you like digging into how managing an operating systems works (something most programmers do) it's a good start. Before I get the flames I said managing, not the actual kernel stuff for that you mostly need C and you should have that covered.
On the other hand it might be nice to dive into the C side of things, ignore the OO stuff and learn functional programming. If you head down that road I also suggest to start with basic assembly language like one of the upper posts suggested. Maybe HLA (High-Level Assembly by Randall Hyde, he wrote a great book called Art of Assembly Language Programming) is a good start. You'll either learn to love memory management or hate it for the rest of your live. Good to know in case you want to start a career in programming :)
However if you're looking to make a job out of programming, Java and J2EE is an easy money maker if you know what you're doing. IMHO it gets boring really quick though.
Personally, I have been programming in Java, Python, C/++ and my favorite has to be python. Although C++ can do everything Python can do and more, I wrote a Python program with about 10 lines that would take about 50 in C++. So, moral of the story, use python.
If you haven't already, try out a scripting language. It should change the way you work & think. Hopefully, in a good way :)
I've got to put up a separate answer for Perl. While Python is roughly equivalent in functionality and considered more clean and modern, Perl has an elegance all of its own - the elegance of pure pragmatism. It also boasts a truly great library support. Take a look at Perl to expand your brain in the direction opposite to Haskel :) (although Perl aficionados claim that it can be used for functional programming).
Rust
Syntactically similar to C++
Designed for performance and safety, especially safe concurrency