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Hey guys, I'm very excited about how experienced I am in programming.
The first, working program that I have written, was in 2004 with C. Since this I have tried many programming languages, now got stuck with php. Currently I'm working as a web-developer, and everyones pleased with the work I do. Except me :) Thats the reason why i want to know, how high my experience and my knowledge is.
Could you tell me, some tips, tricks, test, or anything, on what I can see how much I need to learn and practice to get a mastermind in programming? (at first place in php)
I'm also a programmer who doesn't like to stagnate, so perhaps I can offer a few tips:
1) What's your weakest area? Networking? Graphics? Regex? What is the one area that if someone asked you "I need a program that can do X" and that X scares you what is it. Now study as much as you can on that subject. Hack out a few prototypes and make it so that you understand it allot better. I used to hate Regex commands, now I use them whenever I can.
2) Study "different" languages. I'd recommend learning a "functional" language such as Erlang, Lisp, or perhaps certain aspects of Python. Get a book on "functional programming" and read it through, and then think how you can apply these concepts to your current work. Start using map() and filter() in python instead of for loops, etc.
3) If you're doing web programming, get yourself a massive set of data and start doing some number crunching. A while back I was playing EVE Online, so I fired up SQL Server Express and hacked out some market analysis routines in it. It was around 4 GB of data the server crunched through, but I learned allot about SQL Server in the mean time.
I recently was watching a lecture on Lisp and the Professor said: "Computer Science is not about computers and not about science. It's about knowledge, and how to manipulate that knowledge to obtain more knowledge" So true, so the more tools you have for manipulating and gaining knowledge, the better programmer you'll be.
Start a new programming project and take your time to make every single aspect of it as good as possible.
Use git or Mercurial for source control. Use submodules (or whatever the Mercurial equivalent is) to manage external frameworks. Set up post-commit hooks to run your unit tests and zip up your executable. Use new branches for everything and do octopus-merges to get them all back into a single branch.
Script everything you do. Deploying a new version of your app (including website updates!) should be as simple as running a single script.
Make your app 100% localized. Deploying in a new language should be as easy as sending a strings file out to a volunteer to get translated, then popping that translated file into your source code, no additional work needed.
Optimize, optimize, optimize. Spend the extra week to make your app load 100ms faster.
Refactor, refactor, refactor. Don't just go for orthogonality and abstraction, aim for pure code beauty. Using your classes should be like using Duplo blocks, they just snap into place with not an error in sight.
Unit test everything. 100% coverage. Don't let a single regression go unannounced. Automate the entire test suite so that you can't promote your code without all the tests passing.
Put your app in the cloud. If you're writing something for the desktop or a mobile device, give your users a way to sync their data to a website. Write that website. If your project is web-based, give your users a mobile or desktop front-end to access their accounts.
Accessibility. Handicapped users should be thrilled with the care you put into designing your app.
Keep in mind that if you do everything I listed here, you'll never ship, but you'll be a well-rounded a developer, an asset to most any team.
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I'm currently faced with a very unusual design problem, and hope that a developer wiser than myself might be able to offer some insight.
Background
Without being too specific, I've been hired by a non-profit organisation to assist with the redevelopment of their legacy, but very valuable (in terms of social value) software. The development team is unlike any I've encountered in my time as a software developer, and is comprised of a small number of developers and a larger group of non-programming domain experts. What makes the arrangement unusual is that the domain experts (lets call them content creators), use custom tooling, some of which is based around a prolog expert system engine, to develop web based software components/forms.
The Problem
The system uses a very awkward postback model to perform logical operations server side and return new forms/results. It is slow, and prone to failure. Simple things, like creating html forms using the existing tooling is much more arduous than it should be. As the demand for a more interactive, and performant experience grows, the software developers are finding increasingly that they have to circumvent the expert system/visual tooling used by the content creators, and write new components by hand in javascript. The content creators feel increasingly that their hands are tied, as they are now unable to contribute new components.
Design approach: Traditional/Typical
I have been advocating for the complete abandonment of the previous model and the adoption of a typical software development process. As mentioned earlier, the project has naturally evolved towards this as the non-programmatic development tooling has become incapable of meeting the needs of the business.
The content creators have a very valuable contribution to make however, and I would like to see them focusing on formally specifying the expected behaviour of the software with tools like Cucumber, instead of being involved in implementation.
Design approach: Non-programmatic
My co-worker, who I respect a great deal and suspect is far more knowledgeable than me, feels that the existing process is fine and that we just need to build better tooling. I can't help but feel however that there is something fundamentally flawed with this approach. I have yet to find one instance, either historical or contemporary where this model of software development has been successful. COBOL was developed with the philosophy of allow business people/domain experts to write applications without the need for a programmer, and to my mind all this did was create a new kind of programmer - the COBOL programmer. If it was possible to develop effective systems allowing non-programmers to create non-trivial applications, surely the demand for programmers would be much lower? The only frameworks that I am aware of that roughly fit this model are SAP's Smart Forms and Microsoft's Dynamix AX - both of which are very domain specific ERP systems.
DSLs, Templating Languages
Something of a compromise between the two concepts would be to implement some kind of DSL as a templating language. I'm not even sure that this would be successful however, as all of the content creators, with one exception, are completely non technical.
I've also considered building a custom IDE based on Visual Studio or Net Beans with graphical/toolbox style tooling.
Thoughts?
Is non-programmatic development a fools errand? Will this always result in something unsatisfactory, requiring hands on development from a programmer?
Many thanks if you've taken the time to read this, and I'd certainly appreciate any feedback.
You say:
Something of a compromise between the
two concepts would be to implement
some kind of DSL as a templating
language. I'm not even sure that this
would be successful however, as all of
the content creators, with one
exception, are completely non
technical.
Honestly, this sounds like exactly the approach I would use. Even "non-technical" users can become proficient (enough) in a simple DSL or templating language to get useful work done.
For example, I do a lot of work with scientific modeling software. Many modelers, while being much more at home with the science than with any form of engineering, have been forced to learn one or more programming languages in order to express their ideas in a way they can use. Heck, as far as I know, Fortran is still a required course in order to get a Meteorology degree, since all the major weather models currently in use are written in Fortran.
As a result, there is a certain community of "scientific programming" which is mostly filled with domain experts with relatively little formal software engineering training, expertise, or even interest. These people are more at home with languages/platforms like Matlab, R, and even Visual Basic (since they can use it to script applications like Excel and ESRI ArcMap). Recently, I've seen Python gaining ground in this space as well, mainly I think because it's relatively easy to learn.
I guess my point is that I see strong parallels between this field and your example. If your domain experts are capable of thinking rigorously about their problems (and this may not be the case, but your question is open-ended enough that it might be) then they are definitely capable of expressing their ideas in an appropriate domain-specific language.
I would start by discussing with the content creators some ideas about how they would like to express their decisions and choices. My guess would be that they would be happy to write "code" (even if you don't have to call it code) to describe what they want. Give them a "debugger" (a tool to interactively explore the consequences of their "code" changes) and some nice "IDE" support application, and I think you'll have a very workable solution.
Think of spreadsheets.
Spreadsheets are a simple system that allows non-technical users to make use of a computer's calculation abilities. In doing so, they have opened up computers to solve a great number of tasks which normally would have required custom software developed to solve them. So, yes non-programmatic software development is possible.
On the other hand, look at spreadsheets. Despite their calculational abilities you really would not want as a programmer to have to develop software with them. In the end, many of the techniques that make programming languages better for programmers make them worse for the general population. The ability to define a function, for example, makes a programmer's life much easier, but I think would confuse most others.
Additionally, past a certain point of complexity trying to use a spreadsheet would be a real pain. The spreadsheet works well within the realm for which it was designed. Once you stray too far out that, its just not workable. And again, its the very tools programmers use to deal with complexity which will prevent a system being both widely usable and sufficiently powerful.
I think that for any given problem area, you could develop a system that allows the experts to specify a solution. It will be much harder to develop that system then to solve the problem in the first place. However, if you repeatedly have similiar problems which the experts can develop solutions for, then it might be worthwhile.
I think development by non-developers is doomed to failure. It's difficult enough when developers try it. What's the going failure rate? 50% or higher?
My advice would be to either buy the closest commercial product you can find or hire somebody to help you develop a custom solution with your non-developer maintenance characteristics in mind.
Being a developer means keeping a million details in mind at once and caring about details like version control, deployment, testing, etc. Most people who don't care about those things quickly tire of the complexity.
By all means involve the domain experts. But don't saddle them with development and maintenance as well.
You could be putting your organization at risk with a poorly done solution. If it's important, do it right.
I don't believe any extensive non-programmer solution is going to work. Programming is more than language, it's knowing how to do things reasonably. Something designed to be non-programmer friendly will still almost certainly contain all the pitfalls a programmer knows to avoid even if it's expressed in English or a GUI.
I think what's needed in a case like this is to have the content creators worry about making content and an actual programmer translate that into reasonable computer code.
I have worked with two ERP systems that were meant for non-programmers and in both cases you could make just about every mistake in the book with them.
... Simple things, like creating html forms using the existing tooling is much more arduous than it should be...
More arduous for whom? You're taking a development model that works (however badly) for the non-programming content creators, and because something is arduous for someone you propose to replace that with a model where the content creators are left out in the cold entirely? Sounds crazy to me.
If your content creators can learn custom tooling built around a Prolog rules engine, then they have shown they can learn enough formalism to contribute to the project. If you think other aspects of the development need to be changed, I see only two honorable choices:
Implement the existing formalism ("custom tooling") using the new technology that you think will make things better in other ways. The content creators contribute exactly as they do now.
Design and implement a domain-specific language that handles the impedance mismatch between what your content creators know and can do and the way you and other developers think the work should be done.
Your scenario is a classic case where a domain-specific language is appropriate. But language design is not easy, especially when combined with serious usability questions. If you are lucky you will be able to hire someone to help you who is expert in both language design and usability. But if you are nonprofit, you probably don't have the budget. In this case one possibility is to look for help from another nonprofit—a nearby university, if you have one.
I'd advise you to read this article before attempting to scrap the whole system. I look at it this way. What changed to prompt the redevelopment? Your domain experts haven't forgotten how to use the original system, so you already have some competent "COBOL programmers" for your domain. From your description, it sounds like mostly the performance requirements have changed, and possibly a greater need for web forms.
Therefore, the desired solution isn't to change the responsibilities of the domain experts, it's to increase the performance and make it easier to create web forms. You have the advantage of an existing code base showing exactly what your domain experts are capable of. It would be a real shame not to use it.
I realize Prolog isn't exactly the hottest language around, but there are faster and slower implementations. Some implementations are designed mostly for programmer interactivity and are dynamically interpreted. Some implementations create optimized compiled native code. There are also complex logical programming techniques like memoization that can be used to enhance performance, but probably no one learns them in school anymore. A flow where content creators focus on creating new content and developers focus on optimization could be very workable. Also, Prolog is ideally suited for the model layer, but not so much for the view layer. Moving more of your view layer to a different technology could really pay off.
In general though, 2 thoughts:
You cannot reduce life to algorithms. Everything we know (philosophically, scientifically) and experience demonstrates this. (Sorry, Dr. Minsky).
That said, a Domain-Specific tool that allows non-programmers to express a finite language is definitely doable as several people have given examples. Another example of this type of system is Mathematica and especially Simulink which are used very successfuly over a range of applications. However, the failure of Expert Systems, Fuzzy logic, and Japan's Fifth Generation computer project of the 80's to take-off demonstrate the difficulty in doing this.
Labview is a very successful none programatic programming environment.
What an interesting problem.
I would have to ultimately agree with you, and disagree with your colleague.
The philosophy and approach of Domain Driven Development/Design exists exactly for your purposes, in that it puts paramount importance on the specific knowledge of the experienced domain experts, and on communicating that knowledge to talented software developers.
See, in your issue, there are two distinct things. The domain, and the software. The domain should be understood and specified first and foremost without software development in mind.
And then the transformation to software happens between the communication between domain experts and programmers.
I think trying to build "programming" tools for domain experts is a waste of time.
In Domain Driven Development your domain experts will continue to be important, and you'll end up with better software.
In your colleague's approach you're trying to replace programmers with tool.... maybe in the future, like, start trek future, that will be possible, but today I don't think so.
I am currently struggling with a similar problem in trying to enable healthcare providers to write rules for workflows, which isn't easy because they aren't programmers. You're a programmer not because you went to programming school -- you're a programmer because you think like a programmer. Fortunately, most hospitals have some anesthesiologist or biomedical engineer who thinks like a programmer and can manage to program. The key is to give the non-programmers-who-think-like-programmers a language that they can learn and master.
In my case, I want doctors to be able to formulate simple rules, such as: "If a patient's temperature gets too low, send their doctor a text message". Of course it's more complicated than that because the definition of "too low" depends on the age of the patient, a patient may have many doctors, and so on, but a smart doctor will be able to figure out those rules. The real issue is that the temperature sensor will often fall off the patient and read ambient temperature, meaning that the rule is useless unless you can figure out how to determine that the thermometer is actually reading the patient's temperature.
The big problem I have is that, while it's relatively easy to create a DSL so that doctors can express IF [temperature] [less-than] [lookup-table [age]] THEN [send-text-message], it's much harder to create one that can express all the different heuristics you might need to try before coming up with the right way to make sure the reading is valid.
In your case, you may want to consider how VB became popular: It has a form drawing tool that anybody can easily use to draw forms and set properties on form items. Since not everything can be specified by form properties and data binding, there's a code-behind mode that lets you do complex logic. But to make the tool accessible to beginning programmers, the language is BASIC, so users didn't have to learn about pointers, memory allocation, or data structures.
While you probably wouldn't want to give your users VB, you might consider a hybrid approach. You would have one "language" (it could be graphical, like VB's form designer or Labview) where inexperienced users can easily do the simple stuff, and another language to enable expert users to do the complicated stuff.
I had this as a comment previously but I figured it deserved more merit.
There are definitely a number of successful 'non-programmatic' tools around, off hand I can think of Labview, VPL and graph based (edit: I just noticed this link has more far more than just shaders on it) shaders which are prevalent in 3D applications.
Having said that, I don't know of any which are suited to web based dev (which appears to be your case).
I dout very much the investment on developing such tools would be worth it (unless maybe you could move to sell it as a product as well).
I agree with you - non-technical people will not be able to program anything non-trivial.
Some products try to create what's basically a really simple programming language. The problem is that programming is an aptitude as well as a skill. It takes a certain kind of mindset to think in the sort of logic used by computers, which just can't be abstracted away by any programming language (at least not without without making assumptions that it can't safely make).
I've seen this in action with business people trying to construct workflows in MS Dynamics CRM. Even though the product was clearly intended to allow them to do it without a programmer they just couldn't figure out how to make a loop or an if-else condition work, no matter how "friendly" the UI tried to make it. I watched in amazement as they struggled with something that seemed completely self-obvious to me. After a full day (!) of this they managed to produce a couple of very basic workflows that worked in some cases, but didn't handle edge cases like missing values or invalid data. It was basically a complete waste of time.
Granted, Dynamics CRM isn't exactly the epitome of user-friendliness, but I saw enough to convince me that this is, indeed, a fool's errand.
Now, if your users are not programmers, but still technical people they might be able to learn programming, but that's another story - they've really become "new programmers" rather than "non-programmers" then.
This is a pretty philosophical topic and difficult to answer for every case, but in general...
Is non-programmatic development a fools errand?
Outside of a very narrow scope, yes. Major software vendors have invested billions over the years in creating various packages to try to let non-technical users create & define workflows and processes with limited success. Your best bet is to take advantage of what has been done in that space rather than trying to re-invent it.
Edit:
Sharepoint, InfoPath, some SAP stuff are the examples I'm talking about. As I said above, "a very narrow scope". It's possible to let non-programmers create workflows, complex forms, some domain processes, but that's it. Anything more general-purpose is simply trying to make non-programmers into programmers by giving them very crude tools.
Non programatic software development IS feasable, as long as you are realistic about what non-developers can reasonaby achieve - its all about a compromise between capability and ease of use.
The key is to break the requirements down cleanly into things that the domain experts need to be able to do, and spend time implementing those features in a foolproof way - The classic mistake is to try to let the system to do too much.
For example suppose you want domain experts to be able to create a form with a masked text input:
Most developers will look at that requirement and create a fancy control which accepts some sort of regular expression and lets the domain expert do anything.
This is the classic developer way of looking at things, however it's likely that your domain expert does not understand regular expressions and the developer has missed the point of the reqirement which was for the domain expert to be able to create this form.
A better solution might have been to create a control that can be confgiured to mask either Email addresses or telephone numbers.
Yes this control is far less capable than the first control, and yes the domain experts have to ask developers to extend it when they want to be able to mask to car registration numbers, however the domain experts are able to use it.
It seems that the problem is of organizational nature and cannot be solved by technical means alone.
The root is that content creators are completely non-technical, yet have to perform inherently technical tasks of designing forms and writing Prolog rules. Various designers and DSLs can alleviate their problems, but never solve them.
Either reorganize system and processes so knowledge carriers actually enter knowledge - nothing else; or train content creators to perform necessary development with existing tools or may be DSLs.
Non-programmatic development can save from low-level chores, but striving to set up system once and let users indefinitely and unrestrictedly expand it is certainly a fools errands.
Computer games companies operate like this all the time, so far as I can tell: a few programmers and a lot of content creators who need to be able to control logic as well (like level designers).
It's also probably a healthy discipline to be able to separate your code from the data and rules driving it if you can.
I'm therefore with your colleague, but of course the specifics may not make this general solution appropriate!
Using the right language for the job is the key - this is the comment I read in SO and I also belive thats the right thing to do. Because of this we ended up using different languages for different parts of the project - like perl, VBA(Excel Macros), C# etc. We have three to four languages currently in use inside the project. Using the right language for the job has made it immensly more easy to do automate a job, but of late people are complaining that any new person who has to take over the project will have to learn so many different languages to get started. Also it is difficult to find such kind of person. Please note that this is a one to two person working on the project maximum at a given point of time. I would like to know if the method we are following is right or should we converge to single language and try to use it across all the job even though another language might be better suited for it. Your experenece related to this would also help.
Languages used and their purpose:
Perl - Processing large text file(log files)
C# with Silverlight for web based reporting.
LabVIEW for automation
Excel macros for processing data in excel sheets, generating graphs and exporting to powerpoint.
I'd say you are doing it right. Almost all the projects I've ever worked on have used multiple languages, without any problems. I think you may be overestimating the difficulty people have picking up new languages, particularly if they all use the same paradigm. If your project were using Haskell, Smalltalk, C++ and assembler, you might have difficulties, I must admit :-)
Using a variety languages vs maintainability is simply another design decision with cost-vs-benefits trade-offs that, like any design decision, need to considered carefully. While I like using the "absolute best" tool for the task (whatever "absolute best" means), I wouldn't necessarily use it without considering other factors such as:
do we have sufficient skill and experience to implement successfully
will we be able to find the necessary resources to maintain it
do we already use the language/tech in our system
does the increase in complexity to the overall system (e.g. integration issues, the impact on build automation) outweigh the benefits of using the "absolute best" language
is there another language that we already use and have experience in that is usable in lieu of the "absolute best" language
I worked a system with around a dozen engineers that used C++, Java, SQL, TCL, C, shell scripts, and just a touch of Perl. I was proud that we used the "best language" where they made sense, but, in one case, using the "best language" (TCL) was a mistake - not because it was TCL - but rather because we failed to observe the full costs-vs-benefits of the choice:*
we had only 1 engineer deeply familiar with TCL - the original engineer who refused to use anything but TCL for a particular target component - and then that engineer left the project
this target component was the only part of the system to use TCL and it was small relative to the other components in the system
the component could have been also implemented in another language we already used that we had plenty of experience in (C or C++) with some extra effort
the component appeared deceptively simple, but in reality had subtle corner cases that bit us in production (not something we could have known then, but always something to consider as a possibility later)
we had to implement special changes to the nightly build because the TCL compiler (yes, we compiled the TCL code into an executable) wouldn't work unless it could first throw its logo up on the screen - a screen which wasn't available during a cron-initiated automated nightly build. (We resorted to using xvfb to satisfy it.)
when bugs turned up, we had difficult time finding engineers who wanted to work on it
when problems with this component cropped up only after sustained load in the field, we lacked the experience and deep understanding of the TCL execution engine to easily debug it in the field
finally, the maintenance and sustainment team, which is a much smaller team with fewer resources than the main development team, had one more language that they needed training and experience in just to support this relatively small component
Although there were a number of things we could have done to head-off some of the issues we hit down the road (e.g. put more emphasis on getting TCL experience earlier, running better tests to detect the issues earlier, etc), my point is that the overall cost-vs-benefit didn't justify using TCL to code that single component. Again, it was not a mistake to use TCL because it was TCL (TCL is a fine language), but rather it was a mistake because we failed to give full consideration to the cost-vs-benefits.
As a Software Engineer it's your job to learn new languages if you need to. I would say you should go with the right tool for the job.
It's like sweeping the floor with an octopus. Yeah, it gets the job done... kind of... but it's probably not the best tool for the job. You're better off using a mop.
Another option is to create positions geared towards working in specific languages. So you can have a C# developer, a Perl developer, and a VBA developer who will only work with that language. It's a bit more overhead, but it is a workable solution.
Any modern software project of any scope -- even if it's a one-person job -- requires more than one language. For instance, a web project usually requires Javascript, a backend language, and a DB query language (though any of these might be created by the backend language). That said, there's a threshold that is easily reached, and then it would be very hard to find new developers to take over projects. What's the limit? Three languages? Four? Let's say: five is too many, but one would be too few for any reasonably complex project.
Using the right language for the right job is definitely appropriate - I am mainly a web programmer, and I need to know server-side programming (Rails, PHP + others), SQL, Javascript, jQuery, HTML & CSS (not programming languages strictly, but complex things I need to know) - it would be impossible for me to do all of that in a single language or technology.
If you have a team of smart developers, picking up new languages will not be a problem for them. In fact they probably will be eager to do so. Just make sure they are given adequate time (and mentoring) to learn the new language.
Sure, there will be a learning curve to implementing production code if there is a new language to learn, but you will have a stronger team member for it.
If you have developers in your teams who strongly resist learning new languages, unless there is a very good reason (e.g they are justifiably adamant that they are being asked to used a different language when it is not appropriate to do so) - then they are not the sort of developers I'd want in my teams.
And don't bother trying to hire people who know all the languages you use. Hire smart programmers (who probably know at least one language you use) - they should pick up the other languages just fine.
I would be of the opinion, that if I a programmer on my team wanted to introduce a second (or third) language into a project, that there better be VERY VERY good reason to do so; as a project manager I would need to be convinced that the cost of doing so, more than offset the problems. And it would take a lot of convincing.
Splitting up project into multiple languages makes it very expensive to hire the right person(s) to take over that project when it needs maintenance. For small and medium shops it could be a huge obstacle.
Edit: I am not talking about using javascript and c# on the same project, I am talking about using C# for most of the code, F# for a few parts and then VB or C++ for others - there would need to be a compelling reason.
KISS: 'Keep it simple stupid' is a good axiom to follow in most cases.
EDIT: I am not completely opposed to adding languages, but the burden of proof is on the person to who wants to do it. KISS (to me) applies to not only getting the project/product done and shipped, but also must take into account the lifetime maint. and support requirements. Lots of languages come and go, and programmers are attracted to new languages like a moth to a light. Most projects I have worked on, I still oversee and/or support 5 or 10 years later - last thing I want to see is some long forgotten and/or orphaned language responsible for some key part of an application I need to support.
My experience using C++ and Lua was that I wrote more glue than actual operational code and for dubious benefit.
I'd start by saying the issue is whether you are using the right paradigm for the job?
Suppose you know how to do object oriented programming in C#. I don't think the leap to Java is all that great . Although you'd have to familiarize yourself with libraries and syntax, the idea is pretty similar.
If you have procedural parts to your project, such as parsing files and various data transformations, your Perl/Excel Macros seem pretty similar.
But to address your issues, I'd say above all, you'll need clarity in code. Since your staff are using several languages, they won't be familiar with all languages to an equal degree. So make sure of this:
1) Syntactic sugar is explained in comments. Sugars are pretty language specific and may not be obvious to a new reader. For instance, in VBA I seem to remember there are default properties, so that TextBox1 = "Hello" is what you'd write instead of TextBox1.Text = "Hello". This can be confusing. Also, things like LINQ statements can have un-obvious meanings. So make sure people have comments to read.
2) Where two components from different languages have to work together, make excruciatingly specific details about how that happens. For instance, I once had to write a C component to be called from Excel VBA. There's quote a few steps and potential errors in doing this, especially as far as compiler flags. Make sure both sides know how their side of the interaction occurs.
Finally, as far as hiring people goes, I think you have to find people who aren't married to a specific language. To put it vaguely, hire an intelligent person who sees business issues, not code. He'll learn the lingo soon enough.
The title may seem slightly self-contradictory, and I accept that you can't really learn a language quickly. However, an experienced programmer that already has knowledge of a few languagues and different styles (functional, OO, imperative etc.) often wants to get started quickly. I've seen a few websites doing effective "translations" in the form of "just show me syntax equivalence". I can't remember the sites now, but for related languages (e.g. Perl/PHP) it's quite common.
Is there a better resource that covers more languages? Is there a resource that covers idioms as well as syntax? I think this would be incredibly useful for doing small amounts of work on existing code bases where you are not familiar with the language. Looking at the existing code, as we know, is not always a good indicator of quality. Likewise, for "learn by doing" weekend project I always have the urge to write reasonably idiomatic, clean code from the start. Such a resource could also link to known good example projects of varying sizes for those that prefer to learn by reading. Reading a well-written medium sized code base can also be much more practical when access to development environments might be limited.
I think it's possible to find tutorials and summaries for individual languages that provide some of this functionality in disparate web locations but I'm hoping there is a good, centralised, comparative place that the busy programmer can turn to.
You generally have two main things to overcome:
Syntax
Reference
Syntax you can pick up fairly quickly with a language tutorial and a stack of samplecode.
Reference (library/API calls) you need to find a proper guide to; perhaps the language reference, or perhaps google...
With those two in place, following a walkthrough (to get you used to using the development environment) will have you pretty much ready - you'll be able to look up what you want to say (reference), and know how to say it (syntax).
This, of course, applies principally to procedural/oop languages; languages that require a paradigm switch (ML/Haskell) you should go to lectures for ;)
(and for the weirder moments, there's SO!)
In the past my favour was "learning by doing". So e.g. I know a little bit of C++ and a lot of C#.Net but I must write a FTP Tool in Python.
So I sit for an hour and so the syntax differences by a tutorial, than I develop the form itself and look at the generated code. Then I search a open source Python FTP Client and get pieces of code (Not copy and paste, write it self to see, feel and remember the code!)
After a few hours I get it.
So: The mix is the best. A book, a piece of good code, the willing to learn and a free night with much coffee.
At the risk of sounding cheesy, I would start with the language's website tutorial and/or FAQ, followed by asking more specific questions here. SO is my centralized location for programming knowledge.
I remember when I learned Perl. I was asked to modify some Perl code at work and I'd never seen the language before. I had experience with several other languages, however, so it wasn't hard to figure out the syntax with the online Perl docs in one window and the code in another, side-by-side. I don't know that solely reading existing code is necessarily the best way to learn. In my case, I didn't know Perl but I could tell that the person who originally wrote the code didn't know Perl either. I'm not sure I could've distinguished between good Perl and really confusing Perl. It would've been nice to be able to ask questions here at the time.
Language isn't important. What is important is learning your ways around designing algorithms and the proper application of design patterns. Focus on the technique, not the language that implements a certain technique. Once you understand the proper development techniques, any programming language will just become real easy, no matter how obscure they are...
When you put a focus on a language, you're restricting your own knowledge.
http://devcheatsheet.com/ seems to be a step in the right direction: it aggregates cheat sheets/quick references and they are (somewhat) manually reviewed. It's also wide-ranging. It still comes up short a bit in terms of "idiomatic" quick reference: for example, the page on Ruby doesn't mention yield.
Rosetta Code appears to be an excellent resource that includes hints on coding idiomatically and moves from simple (like for-loops) to things like drawing. I haven't checked out how comprehensive it is, but there are a large number of languages and tasks listed. The drawbacks re: original question are:
Some of the linking is not accurate
(navigating Python->ForLoop will
take you to the top of the ForLoop
page, not the Python section). It's a
wiki, this can be improved.
Ideally you could "slice" the wiki
however you chose to see e.g. the top
20 tasks for two languages
side-by-side.
http://hyperpolyglot.org/ seems to be an almost perfect match for what I was looking for. The quality is not always there, or idiom can be lacking, but it has the same intention and is pretty comprehensive.
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I remember the old effective approach of studying a new framework. It was always the best way to read a good book on the subject, say MFC. When I tried to skip a lot of material to speed up coding it turned out later that it would be quicker to read the whole book first. There was no good ways to study a framework in small parts. Or at least I did not see them then.
The last years a lot of new things happened: improved search results from Google, programming blogs, much more people involved in Internet discussions, a lot of open source frameworks.
Right now when we write software we much often depend on third-party (usually open source) frameworks/ libraries. And a lot of times we need to know only a small amount of their functionality to use them. It's just about finding the simplest way of using a small subset of the library without unnecessary pessimizations.
What do you do to study as less as possible of the framework and still use it effectively?
For example, suppose you need to index a set of documents with Lucene. And you need to highlight search snippets. You don't care about stemmers, storing the index in one file vs. multiple files, fuzzy queries and a lot of other stuff that is going to occupy your brain if you study Lucene in depth.
So what are your strategies, approaches, tricks to save your time?
I will enumerate what I would do, though I feel that my process can be improved.
Search "lucene tutorial", "lucene highlight example" and so on. Try to estimate trust score of unofficial articles ( blog posts ) based on publishing date, the number and the tone of the comments. If there is no a definite answer - collect new search keywords and links on the target.
Search for really quick tutorials/ newbie guides on official site
Estimate how valuable are javadocs for a newbie. (Read Lucene highlight package summary)
Search for simple examples that come with a library, related to what you need. ( Study "src/demo/org/apache/lucene/demo")
Ask about "simple Lucene search highlighting example" in Lucene mail list. You can get no answer or even get a bad reputation if you ask a silly question. And often you don't know whether you question is silly because you have not studied the framework in depth.
Ask it on Stackoverflow or other QA service "could you give me a working example of search keywords highlighting in Lucene". However this question is very specific and can gain no answers or a bad score.
Estimate how easy to get the answer from the framework code if it's open sourced.
What are your study/ search routes? Write them in priority order if possible.
I use a three phase technique for evaluating APIs.
1) Discovery - In this phase I search StackOverflow, CodeProject, Google and Newsgroups with as many different combination of search phrases as possible and add everything that might fit my needs into a huge list.
2) Filter/Sort - For each item I found in my gathering phase I try to find out if it suits my needs. To do this I jump right into the API documentation and make sure it has all of the features I need. The results of this go into a weighted list with the best solutions at the top and all of the cruft filtered out.
3) Prototype - I take the top few contenders and try to do a small implementation hitting all of the important features. Whatever fits the project best here wins. If for some reason an issue comes up with the best choice during implementation, it's possible to fall back on other implementations.
Of course, a huge number of factors go into choosing the best API for the project. Some important ones:
How much will this increase the size of my distribution?
How well does the API fit with the style of my existing code?
Does it have high quality/any documentation?
Is it used by a lot of people?
How active is the community?
How active is the development team?
How responsive is the development team to bug patch requests?
Will the development team accept my patches?
Can I extend it to fit my needs?
How expensive will it be to implement overall?
... And of course many more. It's all very project dependent.
As to saving time, I would say trying to save too much here will just come back to bite you later. The time put into selecting a good library is at least as important as the time spent implementing it. Also, think down the road, in six months would you rather be happily coding or would you rather be arguing with a xenophobic dev team :). Spending a couple of extra days now doing a thorough evaluation of your choices can save a lot of pain later.
The answer to your question depends on where you fall on the continuum of generality/specificity. Do you want to solve an immediate problem? Are you looking to develop a deep understanding of the library? Chances are you’re somewhere between those extremes. Jeff Atwood has a post about how programmers move between these levels, based on their need.
When first getting started, read something on the high-level design of the framework or library (or language, or whatever technology it is), preferably by one of the designers. Try to determine what problems they are trying to address, what the organizing principles behind the design are, and what the central features are. This will form the conceptual framework from which future understanding will hang.
Now jump in to it. Create something. Do not copy and paste somebody's code. Instead, when things don’t work, read the error messages in detail, and the help on those error messages, and figure out why that error occurred. It can be frustrating, when things don’t work, but it forces you to think, and that’s when you learn.
1) Search Google for my task
2) look at examples with a few different libraries, no need to tie myself down to Lucene for example, if I don't know what other options I have.
3) Look at the date of last update on the main page, if it hasn't been updated in 6-months leave (with some exceptions)
4) Search for sample task with library (don't read tutorials yet)
5) Can I understand what's going on without a tutorial? If yes continue if no start back at 1
6) Try to implement the task
7) Watch myself fail
8) Read a tutorial
9) Try to implement the task
10) Watch myself fail and ask on StackOverflow, or mail the authors, post on user group (if friendly looking)
11) If I could get the task done, I'll consider the framework worthy of study and read up the main tutorial for 2 hours (if it doesn't fit in 2 hours I just ignore what's left until I need it)
I have no recipe, in the sense of a set of steps I always follow, that's largely because everything I learn is different. Some things are radically new to me (Dojo for example, I have no fluency in Java script so that's a big task), some just enhancements of previous knowledge (Iknow EJB 2 well, so learning EJB 3 while on the surface is new with all its annotations, its building on concepts.)
My general strategy though is I'd describe as "Spiral and Park". I try to circle the landscape first, understand the general shape, I Park concepts that I don't get just yet, don't let it worry me. Then i go a little deeper into some areas, but again try not to get obsessed with one, Spiralling down into the subject. Hopefully I start to unpark and understand, but also need to park more things.
Initially I want answers to questions such as:
What's it for?
Why would I use this rather than that other thing I already know
What's possible? Any interesting sweet spots. "Eg. ooh look at that nice AJAX-driven update"
I do a great deal of skim reading.
Then I want to do more exploring on the hows. I start to look for gotchas and good advice. (Eg. in java: why is "wibble".equals(var) a useful construct?)
Specific techniques and information sources:
Most important: doing! As early as possible I want to work a tutorial or two. I probably have to get the first circuit of the spiral done, but then I want to touch and experiment.
Overview documents
Product documents
Forums and discussion groups, learning by answering questions is my favourite technique.
if at all possible I try to find gurus. I'm fortunate in having in my immediate colleagues a wealth of knowledge and experience.
Quick-start guides.
A quick look at the API documentation if available.
Reading sample codes.
Messing around YOU HAVE TO MESS AROUND (sorry for the caps).
If it's a small library/API with a small or no community you can always contact the developer himself and ask for help 'cause he'll probably be more than happy to help you; he's happy that one more person is using his API.
Mailing lists are a great resource as long as you do your homework first before asking questions.
Mailing list archives are invaluable for most of the questions I've had on CoreAudio related stuff.
I would never read javadoc. As there often is none. And when there is, most likely it isnt up to date. So one gets confused at the best.
Start with the simplest possible tutorial you find within some minutes.
Often the tutorial will lead you to further sources at the end, so then most of the time one is on a path that goes on and on, deeper and deeper.
It really depends on what the topic is and how much info is on it. Learning by example is a good way to start a topic brand new to you, especially if you're knowledgeable in other similar libraries or languages. You can take a topic you're familiar with, and say "I understand how to implement using X, lets see how it's done using Y".
So what are your strategies, approaches, tricks to save your time?
Well, I search. I generally never ask questions, preferring to research myself. If worse comes to worse I'll read the documentation. In some cases (say, when I was doing some work with SharpSVN) I had to look at the source, specifically the test cases, to get some information about how the API worked.
Generally, I have to be honest, most of my 'study' and 'learning' is by accident.
For example, just a few seconds ago, I discovered how to get the "Recent" folder in C#. I had no idea how to do that before seeing the question, considering it interesting, and then searching.
So for me the real 'trick' is that I hang around on forums, answer questions, and accidentally pick up knowledge. Then when it comes time for me to research something; chances are I know a bit about it, and searching is easier and I can focus on the implementation [typically implementing a test program first] and progressing from there.