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I'm a second year Computer Science student, and am currently applying for jobs for the Summer '11 coop term, this will be my first.
I have found a lot of the jobs 'perfect' candidate have many technical skills I do not possess.
For example, one which I have an interview Monday for, uses Java Enterprise Edition, but I've only used regular Java. Also many things I have no experience with whatsoever, like XML, Adobe FLEX, and Ruby.
Obviously the employer is not expecting a potential employee to have all of these skills, but I was wondering how difficult it would be to pick them up?
I have a strong knowledge of C and Java, and of many concepts and data structures.
With this in mind, is it difficult to pick up languages like Ruby or less related tech like XML or AJAX for example?
Or if I have a good background in compsci, do the concepts apply broadly, and mostly it's just the syntax and rudimentary concepts I will need to pick up to get started?
Please if you have any advice, feel free to share.
Thanks for all your help!
PS: I noticed that most people seem to call Java Enterprise 'J2EE' isnt it now just 'Java EE'? Whats up with that?
Once you've mastered one programming language, you'll easily catch up on a whole family of related languages. The differences are more than just syntax, but there is more or less a fixed set of features that most of the popular languages provide.
A good way to gather programming experience would be to become very proficient in at least one language. I don't know what your experience with C is, but unless it's over 3 years it won't take you much time to get to the same level in any other language, and it won't be too hard anyway. If you ask me, knowing C is a "must" because you learn a little about how the computer executes your programs. Some of the higher-level languages have been (initially) implemented in C themselves.
I'm not a Ruby programmer but i'm guessing it's not a big deal if you already know some C and Java. It's probably even easier to learn than those two. XML is just a data format, and AJAX is a buzzword for "doing stuff dynamically in the browser-based client side of a web application". So there isn't much "tech" to learn here, it's just a matter of knowing and mixing skills to get that kind of thing done. (Basically you'll need to learn at least a little bit about javascript, HTML and HTTP, and know how browsers and web servers work).
Computer science is a branch of mathematics, and as such it will always be relevant. Learning about specific algorithms, data structures, etc. is important but more important (from a practical point of view) is the knowledge of how algorithms or data structures perform, how they can be analyzed, what affects their performance, etc. If you got the basics, you can always open a book by yourself and learn more algorithms and data structures, and it's probably a good idea.
Finally, a useful set of things to know in today's software world is: networking (esp. TCP/IP and HTTP), C, Java / C# or both, minimal knowledge of Javascript, and a little experience with programmatic access to XML
I'm something of a programming language junkie, and examples abound...
Lisp was originally created as a practical mathematical notation for computer programs
Simula was designed for doing simulations, and gave us objects and classes
C was designed for implementing system software (specifically, the Unix operating system)
Erlang was designed with the aim of improving the development of telephony applications at Ericsson.
Languages like Perl and Ruby also, but these four gave birth to fundamental styles of computer programming, as opposed to "just" implementing an existing methodology or style of solving specific software engineering problems.
Is every new programming paradigm primarily driven by a need to solve a practical problem? Does every new programming language come about from a programmer scratching an itch?
As I plan to dedicate my life to research in new programming languages for AI, I'm wondering whether I should pursue the theory of programming intelligence directly, or attempt to solve practical problems in AI and then "discover" the paradigms to solve them.
No, most are. But you're forgetting Esoteric programming languages.
Example: http://www.dangermouse.net/esoteric/piet.html
A language that uses JPG's as code.
I think that every language is designed according to some need. That need of course can just be the language designers own desire for a more elegant language, a language he himself feels more comfortable programming in.
However, the language that are successful will very likely provide some solutions to a more general need. This need my not necesarely be evident at the time the language is designed, but for it to get recognition I think it has to be a need that is shared and gets shelved out as a general desire at some point.
There are probably a lot of languages out there that did not necessarely address a problem that is shared by many others or maybe even adresses needs that have not been wiledly realized as such.
To you concrete question: I think the best way to discover the shortcomings of current languages is to use them. Of course, the theory may help you to come up with appropriate solutions. So I'd say the best way is (as always) to have theoretical knowledge and practical experience.
You'd think nobody would invest time in inventing, refining, implementing, using and spreading a new way of doing things if "the old ways" worked just fine. And the real world, as in your examples, confirms this theory. All this still applies if we broaden the scope beyond programming paradigms. So I'd say it is safe to assume inventions are (partly) driven by a need for the thing invented.
*hits his smartass alter ego with a bat and takes over the talk*
As for the question in the last paragraph: If anyone knows whether you'll have more fun pursuing theory or solving real problems, it's you. I would choose practice any time of the day - but I'm not you. But from looking at (programming language) history I can tell that all no great (i.e. can be used to get things done) language came from theory. It is logical to assume one can't find a good tool for an application without knowing that application throughoutly from daily work.
Somewhere some guy said (I honestly do not know where I got this from), that one should learn one programming language per year. I can see where that might be a good idea, because you learn new patterns and ways to look at the same problems by solving them in different languages. Typically, when learning a new language, I look at how certain problems are supposed to be solved in that language. My question now is, what, in you experience, are good, simple, and clearly defined tasks that demostrate the differences between programming languages.
The Idea here is to have a set of tasks, that, when I solve all of them in the language I am learning, gives me a good overview of how things are supposed to be done in that language. I do not know if that is even possible, but it sure would be a useful thing to have.
A typical example one often sees especially in tutorials for functional languages is the implementation of quicksort.
Search for "Code Kata" for some resources.
Pick a problem. Solve it in different languages.
http://slott-softwarearchitect.blogspot.com/2009/08/code-kata-resources.html
In today's world, I don't think simple tasks like implementing a bubble sort will really give you a taste for that language. The reason being that several of them have C at their core (java, c#, php, javascript, etc).
Instead, go for small apps like a simple contact manager. This will allow you to work with the chosen language's UI, Database, and logic features.
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Its always said that more you program, the better you become. Sounds good and true.
But I was wondering if there is a proven route to becoming a better programmer.
Something like:
Learn a
Learn b
Learn c > 'Now you are good to burn the engines'
Try stuff around based on your learning.
The answer might be similar to a CS course roadmap, but I want to hear from successful programmers who might want to pitch in with something notable.
Thanks
It's not true that practice makes perfect.
It's perfect practice that makes perfect.
If all you do is keep repeating the same bad practices again and again, you'll only make it possible to create bad code faster.
By all means keep coding. But at the same time be critical of everything you do. Always have a jaundiced eye that looks for ways to do things better. Read widely to get new ideas. Talk to others about how they do things. Look at other people's code, good and bad.
There's no "sure" way to learn anything that I know of. If there was, anyone could master this.
All questions are rhetorical and meant to stimulate thought.
Technical parts:
Design Patterns - There are probably some specific to a domain but generally these are useful ways of starting parts of an application. Do you know MVC or MVP?
Basic algorithm starting points - Divide and conquer, dynamic programming, recursion, creating special data types like a heap, being greedy, etc.
Problem solving skills - How easily can you jump in and find where a bug is? Can you think of multiple solutions to the problem?
Abstract modelling - How well can you picture things in your head in terms of code or classes when someone is describing a problem?
High level versus low level - How well do you understand when one wants something high or low? This is just something I'd toss out there as these terms get through around a lot, like a high level view of something or a low level language.
Process parts:
Agile - Do you know Scrum, XP, and other new approaches to managing software projects? How about principles like YAGNI, DRY and KISS? Or principles like SOLID? Ideas like Broken Windows?
Developer Environment - How well do you know the IDE you use? Source Control? Continuous Integration? Do you know the bottle necks on your machine in terms of being productive?
xDD - Do you know of TDD, BDD, and other developments driven from a paradigm?
Refactoring - Do you go back over your old code and make it better or do you tend to write once and then abandon your code?
Soft skills:
Emotional Intelligence - Can be useful for presentations and working with others mostly.
Passions/Motivation - Do you know what gets your juices flowing and just kick butt in terms of being productive? Do you know what you would like to do for many many years?
My main piece of advice would be: don't be afraid to rewrite your own code. Look at stuff you wrote even a month ago and you will see flaws and want to rewrite stuff.
Make sure that you understand some fundamentals: collections, equality, hashcodes etc. These are useful across pretty much all modern languages.
Depending on the language you use - use lint and metric tools and run them over your code. Not all their suggestions will be applicable but learning which are important and which are not is important. E.g FindBugs, PMD etc for Java.
Above all refine and keep refining your work. Don't treat your work as abandonware!
Learn your 1st programming language a new programming paradigm or a
find a mentor you can learn from
Apply what you've learnt in a real world project
Learn from your mistakes and successes and goto step one
The trick is knowing what to learn first:
Programming languages - this is the place to start bcause you cannot write software without knowing at least one of these. After you've mastered one language try learning another.
Programming paradigm - i.e. object oriented, dynamic/functional programming etc. Try to learn a new one with each new language.
Design concepts - S.O.L.I.D, design patterns as well as architectural concepts.
People skills - learn to communicate your ideas.
Team leadership - learn how to sweep others and how to become a team or technological lead.
After that the sky is the limit.
I would look at improving roughly in this order, in iterations with each building on the previous one:
Programming concepts. Understand things like memory management, pointers, stacks, variable scope, etc.
Languages. Work on mastering several modern languages.
Design concepts. Learn about design patterns. Practice using them.
Communication. Often-overlooked. You can only become a highly valued Software Engineer if you can communicate effectively with non-tech people. Learn to listen and understand the needs that people are expressing, translate that into a set of requirements and a technical design, but then explain what you understood (and designed) back to them, in terms they can understand, for validation before you code. This is not an easy one to master, but it is essential.
Architectural concepts. Learn to understand the big picture of large, complex systems.
Learning a programming language is in many ways similar to learning a spoken language. The only way to get good at it is to do it as often as possible. In other works
Practice, practice, read and then practice more
Take time to learn about all sorts of coding techniques, tools and programming wisdom. This I have found to be crucial to my development. It's to easy to just code away and feel productive. What about what could be if you just had some more knowledge / weaponry under your belt to bang out that next widget.
Knowledge/know how is our real currency. The more we know the more we can make a better decision about how something should be done and do it faster.
For example, learn about:
•Development Practices, Software Design, Estimation, Methodologies Business Analysis Database Design (there are a lot of great books out there and online resources)
•Read Code - Open Source Projects are a good place for this. Read
Programming blogs
•Try to participate on Open Source
Projects.
•Look for programming user groups in
your town and/or someone who can mentor you.
And yes, as mentioned practice. Don't just read, do and watch how you will improve. :)
Practice, practice, practice.
Once you're over the basic hump of being able to program, you can also read useful books (i.e. Code Complete, Effective Java or equivalents, etc.) for ideas on how to improve your code.
First and foremost write code. Write as much as you can. Tackle hard problems. If you want to be a really good programmer you need to get into the guts of what you are doing. Spend a lot of time in debuggers looking at how things work. If you want to be a good programmer who really understands what is going on you need to get down to the metal and write highly async code, learn about how processors work and why SSE is so awesome. Understand threading primitives and be able to write them as well as describe what is actually happening in the processor. I could keep going here but you get the idea.
Second find someone who knows a lot more than you and learn. This relationship will work better if you are already deeply immersed in writing lots of code.
Third, spend some time in a large high quality open source code base. I learned a ton from the Quake I and Quake II code. Helped me be a better programmer.
Fourth take on hard problems. Push your limits. Build things that you thought were impossible. Right now I am writing a specialized compiler. I have learned so much just working on this for the last couple of months.
Sure, strictly speaking, the more you practice programming, the better you become at solving those sorts of problems. But is that what you really want?
Programming is a human activity more than a technological one, at its heart. It's easy to improve your computer skills, not so hard to improve your interpersonal skills.
Read "Journey of the Software Professional" by Hohmann. One of the concepts the concepts Hohmann describes is the "cognitive library," which includes both programming skills and non-programming skills. Expand your cognitive library, and your programming skill will improve too.
Read a lot of non-programming books too, and observe the world around you. Creating useful metaphors is an essential skill for the successful programmer. Why do restaurants do things how they do? What trade-offs is the garbage department making when they pick up the garbage every few days instead of every day? How does scaling affect how a grocery store does business? Be an inquisitive human to be a better programmer.
For me, there has to be a reason to learn something new... that is, unless I have a project in mind or some problem I need to solve, there's no hope. If that prerequisite is met, then I usually try to get "Hello, world" working, and after that the sky's the limit. So much of development these days is just learning new APIs. Occasionally there's some kind of paradigm shift that blows your mind, but that's not as common as people like to think, IMHO.
Find a program that intrigues you, one that solves a problem, or one that would simplify many of your tasks. Try to write something similar. You'll get up to speed very quickly and have fun doing it at the same time.
You can try learning one thing really well and then expanding out to programming areas that are associated with the things that you have learnt, so that you can offer complete solutions to customers.
At the same time, devote part of your time to explore things outside your comfort zone.
One you have learned something, try to learn something a little harder. Read and practice a lot about things that seem confusing at first time (lambda functins, threading, array manipulation, etc). It will take its time, but once you have practiced enough, what seemed confusing at first, will be familiar and easy.
In addition to the rest of the great advice already given here, don't be afraid to read about coding and good practice, but also take everything with a grain of salt and see what works best for you. A lot of advice is opinion.
Good sites to read:
-thedailywtf.com
-joelonsoftware.com
-codinghorror.com
-blogs.msdn.com/oldnewthing
A great place to get practice is programming competition websites. Those will help you learn how to write good algorithms, not necessarily maintainable code, but they're still a good place to start for learning.
The one I used to use (back when I had time) was:
http://uva.onlinejudge.org/
Learn more than one language. One at a time, definitely, but ultimately you should be fluent in a couple. This will give you a better perspective I think, and help you to become an expert at programming, rather than being an expert at a certain language.
Learn the ins and outs of computers at all levels, hardware, os, etc. Ideally you should be able to build your own system, install multiple operating systems on it, and diagnose just about every problem that can arise. I know many programmers who are not "computer tech people" and their failure to understand what is happening at every level becomes a major hindrance in diagnosing and fixing unusual bugs or performance issues.
As well as looking at 'last weeks code', talk to users of your work after delivery - be one yourself if possible.
Its not my bag, but some of the best coders I know have spent time supporting applications. The experience improved their product I'm sure.
eat breath dream the programming language your using (no seriously, it helps)
There are two kinds of learning -
1. Informal (like how you learned how to function in society- through interaction with peers and family)
2. Formal (like your high school training- through planned instruction)
If you want an entry-level programming job, formal training via an undergrad Computer Science/Engineering degree is the way to go. However, if you want to become a rock-star developer, it is best done by informal training- make unintentional mistakes and have senior developers curse at you, learn a design pattern because an app you are updating uses it, almost cry because a bad developer wrote a huge messy program lacking documentation and best practices and now you have to do several updates to it ASAP; thing of these nature.
It is hard for anyone to give you a list of all you need to know. It varies per area (e.g. a web developer vs. to a desktop developer) and it varies per company (e.g. Microsoft that sells software vs. General Motors that mainly just use it in their cars.) Informal traiing and being engaged in trying to learn to do your job better and get promoted is your best bet in my opinion.
To prove my point, everyone here has great answers but they all differ. Ask a rock-star developer how he learned something or when, why; they may not know- things just happen.
Practice, individually and collectively
Keep an open mind, always learn new things, don't limit yourself to what's familiar. Not solely from a tech perspective, ui design, people skills, ... Don't be afraid of what's new
Peer review, talk to people about your code, let people talk to you about their code, everyone has a unique way of looking at a problem and you will learn a great deal from peers
Love coding. If you love what you're doing, putting in alot of time seems effortless. Every coder needs the drive!
One small addition to these good answers. When I work on someone else's code, usually I pick up something new. If you have the opportunity to work with someone else that is of equal or greater skill, noticing their programming style can teach you tons.
For example, in C++ & Javascript I no longer use if() statements without braces. The reason is that it's just too easy to mistakenly put:
while (true) {
if (a > b)
print a
print b
}
This is an obvious typo, but very easy to introduce, especially if you're editing existing code. I just call it defensive programming in my mind, but little tricks like this are valuable at making you better.
So, find a peer or mentor, and work on their code.
I am not sure if the OP was looking for general advice on how to be a good programmer, but rather something more specific.
I know I am reviving this thread, but I found it because I was trying to see if anyone asked this question already.
What I had in mind was, can we come up with a "knowledge-map" of programming concepts similar to the map that Khan Academy uses.
As a programmer, I want to be able to visualize the dependencies and relationships between different ideas, so that I can understand what skill level I am currently at; what I need to know before tackling a challenging subject; and be able to visualize my progress.
The very belief in the roadmap's existence blocks the road to perfection.
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Have you ever tried learning a language while on a project? I have, and from my personal experience I can say that it takes courage, effort, time, thinking, lots of caffeine and no sleep. Sometimes this has to be done without choice, other times you choose to do it; if you are working on a personal project for example.
What I normally do in this kind of situation, and I believe everyone does, is "build" on top of my current knowledge of languages, structures, syntax and logic. What I find difficult to cope with, is the difference of integrity in some cases. Some languages offer a good background for future learning and "language study", they pose as a good source of information or a frame of reference and can give a "firm" grasp of what's to come. Other languages form or introduce a new way of thinking and are harder to get used to.
Sometimes you unintentionally think in a specific language and when introduced to a new way of thinking, a new language, can cause confusion or make you get lost between the "borders" of your new and your current knowledge of languages.
What can be a good solution in this case? What should be used to broaden the knowledge of the new language, a new way of thinking, and maintain or incorporate the current knowledge of other languages inside the "borders" of the new language?
I find I need to do a project to properly learn a language, but those can be personal projects. When I learned Python on the job, I first expected (and found) a significant slowdown in my productivity for a while. I read the standard tutorials, coding standards and I lurked on the Python list for a while, which gave me a much better idea of the best practices of the language.
Doing things like coding dojos and stuff when learning a language can help you get a feel for things. I just recently changed jobs and went back to Java, and I spent some time working on toy programs just to get back in the feel for things (I'm also reading Effective Java, 2nd edition as my previous major experience had been with Java 1.4).
I think, in some respects no matter what the impetus for learning the language, you have to start by imitating good patterns in the new language. Whether that means finding a good book, with excellent code examples, good on-line tutorials, or following the lead of a more experienced developer, you have to absorb what it means to write good code in a particular language first. Once you have developed a level of comfort, you can start branching out and and experimenting with alternatives to the patterns that you've learned, looking for ways to apply things you've learned from other languages, but keeping within the "rules" of the language. Eventually, you'll get to the point where you know you can 'break the rules" that you learned earlier because you have enough experience to know when they do/don't apply.
My personal preference, even when forced to learn a new language, is to start with some throw away code. Even starting from good tutorials, you'll undoubtedly write code that later you will look back on and not understand how stupid you could have been. I prefer, if possible, to write as my first foray into a language code that will be thrown away and not come back to haunt me later. The alternative is to spend a lot of time refactoring as you learn more and more. Eventually, you'll end up doing this, too.
I would like to mention ALT.NET here
Self-organizing, ad-hoc community of developers bound by a desire to improve ourselves, challenge assumptions, and help each other pursue excellence in the practice of software development.
So in the spirit of ALT.NET, it is challenging but useful to reach out of your comfort zone to learn new languages. Some things that really helped me are as follows:
Understand the history behind a language or script. Knowing evolution helps a lot.
Pick the right book. Research StackOverflow and Amazon.com to find the right book to help you ease the growing pains.
OOP is fairly common in most of the mature languages, so you can skip many of the chapters related to OOP in many books. Syntax learning will be a gradual process. I commonly bookmark some quick handy guides for that.
Read as many community forums as possible to understand the common pitfalls of the new language.
Attend some local meetups to interact with the community and share your pains.
Take one pitch at a time by building small not so complicated applications and thereby gaining momentum.
Make sure you create a reference frame for what you need to learn. Things like how security, logging, multithreading are handled.
Be Open minded, you can be critical, but if you hate something then do not learn that language.
Finally, I think it is worthwhile to learn one strong languages like C# or Java, one functional language and one scripting language like ruby or python.
These things helped me tremendously and I think will help all software engineers and architects to really gear for any development environment.
I learned PHP after I was hired to be the project lead on the Zend Framework project.
It helped that I had 20 years of professional programming background, and good knowledge of C, Java, Perl, JavaScript, SQL, etc. I've also gravitated towards dynamic scripting languages for most of my career. I've written applications in awk, frameworks in shell, macro packages in troff, I even wrote a forum using only sed.
Things to help learn a language on the job:
Reading code and documentation.
Listening to mailing lists and blogs of the community.
Talking to experts in the language, fortunately several of whom were my immediate teammates.
Writing practice code, and asked for code reviews and coaching.(Zend_Console_Getopt was my first significant PHP contribution).
Learning the tools that go along with the language. PHPUnit, Xdebug, phpDoc, phing, etc.
Of course I did apply what I knew from other programming languages. Many computer science concepts are language-universal. The differences of a given language are often simply idiomatic, a way of stating something that can be done another way in another language. This is especially true for languages like Perl or PHP, which both borrow a lot of idioms from earlier languages.
It also helped that I took courses in Compiler Design in college. Having a good foundation in how languages are constructed makes it easier to pick up new languages. At some level, they're all just ways of abstracting runtime stacks and object references.
If you're a junior member of the team and don't know the language, this is not necessarily an issue at all. As long as there is some code review and supervision, you can be a productive.
Language syntax is one issue, but architectural differences are a more important concern. Many languages are also development platforms, and if you don't have experience with the platform, you don't know how to create a viable solution architecture. So if you're the project lead or working solo, you'd better have some experience on the platform before you do your design work.
For example, I would say an experienced C# coder with no VB experience would probably survive a VB.NET project just fine. In fact, it would be more difficult for a developer who only had experience in C#/ASP.NET to complete a C# WPF project than a VB ASP.NET project. An experienced PHP developer might hesitate a bit on a ColdFusion project, but they probably won't make any serious blunders because they are familiar with a script based web development architecture.
Many concepts, such as object modelling and database query strategies, translate just fine between languages. But there is always a learning curve for a new platform, and sometimes it can be quite nasty. The worst case is that the project must be thrown out because the architure is too wrong to refactor.
I like to learn a new language while working on a project, because a real project will usually force me to learn aspects of the language that I might otherwise skip. One of the first things I like to to is read code in that language, and jump in. I find resources (such as books and various internet sites) to help as I go along.
Then, after I've been working on it for a while, I like to read (or re-read) books or other resources on the language. By this time I have some knowledge, so this will help solidify some things and also point out areas where I am flat-out wrong in my understanding. For instance, I can see that I was making incorrect assumptions about similarities between languages.
This also applies to tools -- after using a tool for a while and learning the basics, reading (or skimming) the documentation can teach me a lot.
In my opinion, you should try to avoid that. I know, most of the times you can't but in any case try not to mix the new language with the old one, and never add to the mixture old habits, practices and patterns.
Always try to find resources that will help you get through the new language in the way the language works, not in the way other languages do; that will never have a happy ending, and if it does it will be very hard to modify it to the right way.
Cheers.
Yes I have.
I mean, is there another way? The only language I ever learned that was not on a project was ABC basic, which was what you used on my first computer.
I would recommend if you start with a certain language, stick with it. I only say that because many times in the past I tried more and more different ones, and the one I started out with was the best :D
Everytime I have/want to learn a new language, I force myself to find something to code.
But to be sure I did it well, I always want to be able to check my code and what it ouputs.
To do so, I just try to do the same kind of stuff with languages I know and to compare the outputs. For that, I created a little project (hosted on Github) with an exercise sheet and the correction for every language I learnt. It's a good way to learn in my opinion because it gives you a real little project.