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Closed 11 years ago.
I'm a confused newbie and hobbyist programmer trying to get a grip on this, so forgive me if my question is a little off or doesn't make much sense.
I see a lot of questions on SO revolving around the use of design patterns, and I'm wondering if anyone has a good resources for learning about, and implementing design patterns? I understand the general idea, and know how/when to use a couple of them(Singletons, Factory methods) but I know I'm missing out.
(Just in case it matters, my language of preference is C# but I could learn from examples in other languages)
Head First Design Patterns
and the Design Pattern Wikipedia page are the best resources for beginners. FluffyCat is another good, free online resource for design patterns in both Java and PHP.
The Gang of Four book is where to go afterward, but it's fairly advanced, so I'd wait until you have a pretty firm grasp from the other resources.
Design patterns are great for various reasons:
gives you a starting for solving common problems.
gives developers a vocabulary to talk about certain ways of solving problems in a very compact manner.
when working with developers who know design patterns and you use design patterns in your solutions they will understand the solutions a lot faster.
But when your goal is just to learn design patterns I think you are missing the fundamentals. All design patterns are based on more common principles. High Cohesion, Low Coupling Open Closed Principle, DRY, Liskov Substitution Principle etc. For these fundamentals I would read the following books in this order:
Head First Object-Oriented Analysis and Design (Head First) [ILLUSTRATED] (Paperback)
Applying UML and Patterns (Hardcover)
Agile Principles, Patterns, and Practices in C# (Robert C. Martin Series) (Hardcover)
After that you are ready for the basic gang of four design patterns
Head First Design Patterns (Head First) [ILLUSTRATED] (Paperback)
The BIBLE
A nice website (don't buy anything, it is not worth it) http://dofactory.com/Patterns/Patterns.aspx (some implementations of this site are worth a discussion
The next step:
Patterns of Enterprise Application Architecture (Addison-Wesley Signature Series) (Hardcover)
The POSA books
And always remember : the pattern is not the goal !
I'd add that Design Patterns book from the "Gang of four" is a bible for anyone who is seriously interested in design patterns.
My tip:
Read a lot about the patterns from different sources.
Trying to force as many patterns as possible into all the code you're writing as this point is not going to give good results. Instead, let the information rest inside your brain for a while (read: months).
Suddenly you'll find yourself stumbling upon a problem or piece of code and you'll vaguely remember that you've seen something that might work as a solution to this particular problem. Now is the time to look up the details on the pattern you are thinking of and try to apply it.
That's what has worked for me, anyway.
Design Patterns
This tutorial site contains following sub-sections
Intent of each design pattern
Real World Structure for the design pattern
A Problem statement
Detailed discussion on the problem
Checklist on how to arrive at a pattern
Rules of thumb while arriving at pattern.
Code snippets for the design pattern which includes C#, C++, Delphi, Java and PHP
This site also contains guide on Anti Patterns, UML and Refactoring.
Bruce Eckel has a book on design patterns, although it's Java, it's like all of his books amazing. And the best thing is, they are free!
C# 3.0 Design Patterns for a C# perspective on design patterns.
(source: oreilly.com)
An introductory book that I found useful and well written is
Design Patterns Explained by Alan Shalloway and James Trott (Addison Wesley).
Do not start from the Gang of Four book, for it is not an introductory book by any means.
I would recommend taking a look at Jean Paul Boodhoo's quintology (?) on Demystifying Design Patterns on DNRtv, urls supplied below. The videocasts touches on Singleton, Abstract Factory among others- the difference being that you can watch him code as he discusses the theory. Good to watch over lunch on a rainy weekday.
http://www.dnrtv.com/default.aspx?showNum=63
http://www.dnrtv.com/default.aspx?showNum=65
http://www.dnrtv.com/default.aspx?showNum=68
http://www.dnrtv.com/default.aspx?showNum=71
http://www.dnrtv.com/default.aspx?showNum=92
An annotation to the above comments.
A Quick Reference For GOF Patterns
Here is a good place you can start dofactory.com/patterns/patterns.aspx - You can find link to each pattern, along with corresponding implementations.
How ever, remember that these are GOF patterns. You might need to read and understand advanced patterns as well, once you gain enough expertise in OOAD. Head First Design Patterns is a good start, and after making some progress, go with Martin Fowler's Enterprise Application Architecture Patterns.
Applying Design Patterns - The Thought Process
Another main aspect - Applying Design patterns is as important as just knowing them. Reading these articles might help you as well.
Applying Design Patterns Part I
Applying Design Patterns Part II
Hope this helps
Head First Design Patterns is a good one like others already noted. Besides this, of course the original book and C# Design Patterns. Also there are good websites already mentioned.
Besides self-learning, I seriously recommend starting or attending a pattern study group in your area. See A Learning Guide To Design Patterns for explanation and great order to study the patterns in. We did this and I can honestly say that I would not understand as much as I do now. A weekly meeting with other interested people keeps you surprisingly disciplined when learning something abstract like design patterns.
Happy studies!
Before spending money on books I would recommend Wikipedia's excellent design patterns page. Also for something different Google for "design pattern screencasts" or search for "design patterns" on YouTube. Getting the same information presented differently often helps the penny drop.
The Gang of Four book is the definitive text on the most well known patterns but is not that easy to read and with C++ examples not everyone's favourite.
The Head First Design Patterns text is far more accessible but only contains a subset of the Gang of Four patterns.
The most important thing is to understand where and why a particular pattern is useful. Afterwards search the web for implementation examples in the language of your choice and experiment until you "get it". Understand one pattern before moving on to the next. Everyone understands some patterns better than others (and there are hundreds of lesser known ones).
Just keep plugging away.
(source: Amazon)
Patterns of Enterprise Application Architecture (Hardcover) by Martin Fowler
Refactoring to Patterns (Hardcover) by Joshua Kerievsky
Continuous Integration: Improving Software Quality and Reducing Risk (Paperback) by Paul Duval et.al.
Beyond Software Architecture: Creating and Sustaining Winning Solutions (Paperback) by Luke Hohmann
Design patterns are like any library function, read about them, then when a problem comes up, the design pattern will be in your "Toolchest". There are many design patterns books all patterned after the original "Gang of four" design patters.
For any programmers, I think that and the Refactoring book by Fowler are the absolute minimal requirements.
For websites, a very good site is http://ajaxpatterns.org, from one of the developers of the ajaxian website
The original Design Patterns book is a must-read for all programmers.
It is an excellent book on every level: layout, clarity, insight, depth. It's one of those great books that you first read cover-to-cover, and then use as a reference until you literally know it inside out.
You could start by the Wikipedia page, but treat yourself with the great book too.
Applying UML and Patterns by Craig Larman. Start from the basic of analysis, design and uses a simple Case scenario. Introduces most of the basic patterns in a simple way.
If you read about design patterns you'll notice that Java seems to have a few of them implemented.
Look at the source for any framework and you can glean info about design patterns. Personally I don't see them fitting in perfectly to any of my code, sometimes the examples in books and tutorials seem a little idealized, especially for the lone coder.
Design patterns aren't for lazy coders.
For me and my colleagues study Design Pattern that following on Pattern Study Group. They prepare a list of each pattern that we should learn in order and also have the opening questions that make more discussion in group.
I also suggest having a shufty at Refactoring to Patterns once you've read Head First Design Patterns.
Note: The code examples are in Java, but should be very similar to C# examples...
It does not make too much sense to me for someone with very little experience to delve too far deeply into design patterns. It is great to know they exist, but at this point you should focus more on other things rather than just learning about design patterns.
They are useful in context of a problem - as a concept for a new/beginner developer they are really not too much practical value aside form knowing that you should make use of them when and where you can.
EDIT
To clarify - many design patterns are a result of problems found in some domains. A new programmer can hardly be expected (IMO) to know the design pattern(s) to use for some set of problems. Just as we get a smattering of algorithms in CS studies, we need an understanding of the things we can do with patterns and their benefits, but when a person is still building hello world or discovering stl there is not much practical need for design patterns. Patterns are great. But they are not the silver bullet.
(Neither was CASE (tools), neither is/was UML, neither is SCRUM, neither is TDD, nor STL, nor Java, nor XML, etc. ) These are all just aspects of our profession and to treat these topics as the second coming is naive.
Patterns comprise the high level vocabulary programmers use to talk about abstract design. If you are reusing an abstract solution, it is helpful to refer to it by name. If you invent a pattern, it is professional to do a little checking to make sure it hasn't already been given a name. If it has been named, then the description may be useful.
After you code even a tiny bit, you will notice yourself writing something similar to what you coded before. This is a pattern. Even if it is a tiny pattern, it is worth noticing. Is there a better pattern? Do you see certain tiny patterns cooperating together to solve a larger problem? Well next time, when you want to solve larger problem, the entire pattern comes into your mind as a single chunk. Fleshing out the detailed lines of code becomes mechanical.
The more you notice patterns, the easier programming becomes, and the more you will appreciate some of the biggest and best patterns worked out by other programmers.
Try mastering the MVC pattern. One way or another, variations show up all over the place, even in tiny design decisions.
Once you understand the concept, go through the Eclipse source code or design, lots of really good examples of these patterns (no surprise, Gamma was one of the designers).
I have found Design Pattern articles on this website really easy to understand
Design Patterns in C#
Related
I'm thoroughly intrigued by Scheme, and have started with some toy programming examples, and am reading through Paul Graham's On Lisp.
One thing I haven't been able to find is a book or website intended to teach Scheme to "OO people", i.e. people like myself who've done 99 % of their coding in c++/Java/Python.
I see that closures are sort of object-y, in the sense that they have local state, and offer one or more functions that have access to that state. But I don't want to learn Scheme only to port my existing habits on to it. This is why I'm learning Scheme rather than Common Lisp at the moment; I fear that CLOS might just serve as a crutch to my existing OO habits.
What would be ideal is a book or website that offers case studies of problems solved in both an OO language, and also in Scheme in a Schemey way. I suppose I would most appreciate scientific computing and/or computer graphics problems, but anything would do.
Any pedagogical leads would be much appreciated.
I doubt CLOS would serve as a crutch for old habits, I found it to be pretty different from the OO style in C++/Java/Python, and very interesting. I don't understand all the details, but I would recommend Peter Seibel's Practical Common Lisp. If you are reading On Lisp without much trouble, you should be able to dive into the chapters introducing CLOS in PCL. Also, I'd recommend his Google Tech Talk comparing Java and Common Lisp.
Here's a few more recommendations to make this a more full-fledged answer:
The classic text Structure and Interpretation of Computer Programs covers quite a few examples in chapter 3 of building modular systems using closures (and addresses issues with introducing state and mutability). Chapter 2 includes some generic and data/type-directed programming which could be helpful for motivating study of CLOS. This book really needs no introduction though, it's a towering work, and I've only been reading it slowly since the spring. Highly recommended if you are interested in Scheme.
While SICP is a great book, it's not without its flaws: A really interesting look at these is the essay "The Structure and Interpretation of the Computer Science Curriculum" which elaborates on a few criticism of SICP, and is written by the authors of How to Design Programs (I haven't read HTDP but I hear it's very good). While this essay won't teach you specifically what you are looking for - comparing functional and OO programming - it is really interesting anyway. Their freshman undergraduate course starts with a first semester introduction to functional programming using Scheme (I think, PLT/Racket) and is followed by a semester of OO programming with C++ or Java... at least that's the course they describe in the essay.
These slides from Peter Norvig address some of the design patterns common in OO programming and show why they are missing or unnecessary in dynamic, functional languages like Scheme and Lisp: http://norvig.com/design-patterns/
I cautiously recommend the book by the same authors as the Little Schemer books: A Little Java, A Few Patterns. I can't say for sure if this is a really a good book or not, it was incredibly strange and there are some really bad typesetting decisions (italic, serif, variable-width, superscript doesn't belong in a text on programming), but it might be interesting to take a look at. You can probably find it cheap, anyway. Don't take this recommendation that seriously. I think it would be better to stick to the Scheme texts.
p.s. I have to disagree with one comment stating that functional programming is not as complicated at OO programming, I think that's grossly misstating it. Functional programming in all its breadth is truly mind-boggling. When you go beyond map/filter/reduce and first-class functions, and take a look at other things in the functional realm like lazy evaluation, avoiding side effects and mutation, and the strong, static-typed languages, it gets pretty interesting, and is certainly just as complicated as traditional OO programming. I've only just scratched the surface myself but have discovered a great deal of new ideas. Programming is complicated business, whether OO or functional.
Congrat you, my friend ! Love cs, love functional programming.
If you are python developer it takes 3-4 days to think in scheme
Here is the best simple tutorial I have ever met http://www.shido.info/lisp/idx_scm_e.html
I found this course http://cs.gettysburg.edu/~tneller/cs341/scheme-intro/index.html and it may be useful for you
One beginner's resource that is very helpful and geared very much toward the casual reader is "The Adventures of a Pythonista in Schemeland". It's written (obviously) from the point of view of a Python programmer taking first steps with Scheme. One especially nice thing about it is that it includes an overview of the current implementations and compatibility issues between each scheme implementation, which, unfortunately, can cause some headaches when you're just starting out.
With regards to object systems, these two documents (linked from here) give nice examples of very simple toy implementations using closures that I found helpful in understanding their use in capturing state.
If you are starting off with Scheme, have a look at How to Design Programs. This book presents the "Schemey" approach to problem solving. I don't think there is a book that compares OO and functional solutions to the same programming problems. But there is a nice presentation that shows how dynamic languages like Scheme could provide simple solutions to problems that demand complex design patterns in statically typed OOP languages.
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 have been programming in object-oriented languages for years now but secretly I look at some of the things my colleagues do with envy. A lot of them seem to have some inner OO instinct that I don't have - no matter how hard I try. I've read all the good books on OO but still can't seem to crack it. I feel like the guy who gave 110% to be a professional footballer but just didn't have the natural talent to make it. I'm at a loss and thinking of switching careers - what should do I?
I would say focus less on the OO programming and focus more on the OO design. Grab a paper and a pencil (or maybe a UML modelling tool), and get away from the screen.
By practicing how to design a system, you'll start to get a natural feel for object relationships. Code is just a by-product of design. Draw diagrams and model your application in a purely non-code form. What are the relationships? How do your models interact? Don't even think about the code.
Once you've spent time designing... then translate it to code. You'll be surprised at just how quickly the code can be written from a good OO design.
After a lot of design practice, you'll start seeing common areas that can be modularized or abstracted out, and you'll see an improvement in both your designs and your code.
The easiest way is to learn concepts such as SOLID, DRY, FIT, DDD, TDD, MVC, etc. As you look up these acronyms it will lead you down many other rabbit holes and once you are done with your reading you should have a good understanding of what better object-oriented programming is!
SOLID podcasts: http://www.hanselminutes.com/default.aspx?showID=168, http://www.hanselminutes.com/default.aspx?showID=163
SOLID breakdown: http://butunclebob.com/ArticleS.UncleBob.PrinciplesOfOod
DRY: http://en.wikipedia.org/wiki/Don%27t_repeat_yourself
FIT: http://www.netwellness.org/question.cfm/38221.htm
DDD: http://dddcommunity.org/
DDD required reading: http://www.infoq.com/minibooks/domain-driven-design-quickly
TDD: http://en.wikipedia.org/wiki/Test-driven_development
MVC: http://en.wikipedia.org/wiki/Model%E2%80%93view%E2%80%93controller
And yes, rolling up your sleeves and coding is always a good idea. Make a small project to the best of your current abilities. Then read an article from above. Then refactor your code to meet the needs of what you just read. Repeat until you have refactored the hell out of your code. At the end you should not only know what OO is all about but you should be able to explain why it is important and how to get their the first time. Learning how to refactor is a key to good code too. What is right now is not right tomorrow.
Too many people think of coding first, objects, last.
You can read all the books you want but that's not going to teach you how to think in an object-oriented fashion--that takes practice and a certain methodology.
Here are a few methods that have
helped me: When you're away from
work and open-minded you can
practice by looking at everything as an object. Don't look at these
objects and wonder how you're going
to program them, look at them as
properties and functions only and
how they relate or inherit from each
other. For example, when you see a
person, they are an object and
therefore would represent a class.
They have properties like hair
color, skin tone, height, etc. They
do certain functions as well. They
walk, talk, sleep, etc. Some of the
functions these people do returns
results. For example, their working
function returns a dollar amount.
You can do this with everything you
see because everything is an object.
Bicycle, car, star, etc.
Before coding a project, design it by
using post-it notes and a dry-erase
board. This will make good practice
until you get the hang of this.
Think of your specific
object/function/property. Each of
those items will have its own
post-it note. Place them as a
hierarchy on the dry-erase board. In
this regard, function/properties
will be placed under the object. If
you have another object, do the same
for that one. Then ask yourself, do
any of these post it notes
(objects/functions/properties)
relate to each other. If two objects
use the same function, create a
parent object (post-it note) and put
it above the others with the
reusable function under the new
note. Draw a line using the
dry-erase marker from the two child
objects to the parent.
When all this is done, then worry
about the internals of how the class
works.
My suggestion would be to learn something different.
Learn functional programming, and apply what you learn from that to OOP. If you know C++, play around with generic programming.
Learn non-object-oriented languages.
Not just because you should use all these things as well (you should), or because they should completely replace OOP (they probably shouldn't), but because you can apply lessons from these to OOP as well.
The secret to OOP is that it doesn't always make sense to use it. Not everything is a class. Not every relationship or piece of behavior should be modeled as a class.
Blindly trying to apply OOP, or striving to write the best OOP code possible tends to lead to huge overengineered messes with far too many levels of abstraction and indirection and very little flexibility.
Don't try to write good OOP code. Try to write good code. And use OOP when it contributes to that goal.
In many fields there's a "eureka" moment where everything kind of comes together.
I remember feeling frustrated in high school geometry. I didn't know which theorem to apply on each step of the proof. But I kept at it. I learned each theorem in detail, and studied how they were applied in different example proofs. As I understood not only the definition of each theorem, but how to use it, I built up a "toolbox" of familiar techniques that I could pull out as needed.
I think it's the same in programming. That's why algorithms, data structures, and design patterns are studied and analyzed. It's not enough to read a book and get the abstract definition of a technique. You have to see it in action too.
So try reading more code, in addition to practicing writing it yourself. That's one beauty of open source, you can download lots of code to study. Not all of that code is good, but studying bad code can be just as educational as studying good code.
Learn a different language! Most developers using only Java (just as an example) have only a limited understanding of OO because they cannot separate language features and concepts. If you don't know it yet, have a look at python. If you know python, learn Ruby. Or choose one of the functional languages.
The aswer is in your question ;)
Practice, practice, practice.
Review your own code and learn from the mistakes.
TDD has helped me most in improving my overall skillset including OOP.
The more code you write, the more you will notice the pitfalls of certain programming practices. After enough time, and enough code, you will be able to identify the warning signs of these pitfalls and be able to avoid them. Sometimes when I write code, I will get this itch in the back of my mind telling me that there may be a better way to do this, even though it does what I need it to. One of my greatest programming weaknesses is "over-analyzing" things so much that it starts to dramatically slow down development time. I am trying to prevent these "itches" by spending a little more time on design, which usually results in a lot less time writing code.
...secretly I look at some of the things my colleagues do with envy. A lot of them seem to have some inner OO instinct that I don't have - no matter how hard I try...
I think you have answered your own question here. Reading good code is a good start, and understanding good code is even better, but understanding the steps to get to that good code is the best. When you see some code that you are envious of, perhaps you could ask the author how he/she arrived at that solution. This is entirely dependent on your work environment as well as the relationships with your colleagues. In any event, if anyone asks me the thought process behind any code I write, I don't hesitate to tell them because I know I would want them to do the same for me.
Language designers have interpreted "Object Oriented Programming" in different ways. For instance, see how Alan Kay, the man who first used the term OOP, defined it:
OOP to me means only messaging, local
retention and protection and hiding of
state-process, and extreme
late-binding of all things. It can be
done in Smalltalk and in LISP. There
are possibly other systems in which
this is possible, but I'm not aware of
them.
(Quoted from http://userpage.fu-berlin.de/~ram/pub/pub_jf47ht81Ht/doc_kay_oop_en).
It might seem strange that he don't consider Java and C++ OOP languages! But as the designer of one of the first and best OOP languages (Smalltalk) he has his own valid reasons for that. Why did Alan Kay consider Lisp an Object Oriented language but not Java? That question demands serious consideration by anyone who claims to understand OOP.
Erlang has an altogether different implemntation of OOP, Scheme has another.
It is worth considering all these alternative views. If possible learn all these languages! That will give you a broader outlook, put some new and powerful tools in your hand and make you a better programmer.
I have summarized my experiments with implementing an OOP language, based on ideas borrowed from Smalltalk, Scheme and Erlang in this article.
public void MasteryOfOOP()
{
while(true)
/* My suggestion is: */
DO: find a lot of well-written object oriented code and read it. Then
try to use the insights from it on your own coding. Then do it again. Then
have a colleague who is a good OOP look at it and comment. Maybe post a chunk
of your code on SO and ask for how it could be improved.
Then read some more of those books. Maybe they make a little more
sense now...?
Now go back to the top of this post, and do it again.
Repeat Forever.
}
}
If you're lost as to how to design object-oriented systems, start with the data. Figure out what stuff you need to keep track of and what information naturally goes together (for example, all of the specs of a model of car group together nicely).
Each of these kinds of thing you decide to track becomes a class.
Then when you need to be able to execute particular actions (for example, marking a model of car as decommissioned) or ask particular questions (for example, asking how many of a given model of car were sold in a given year), you load that functionality onto the class it interacts with most heavily.
In general, there should always be a pretty natural place for a given bit of code to live in your class structure. If there isn't, that signals that there's a place where the structure needs to be built out.
There's too much information about objects. The most important thing is to master the basics and everything falls into place more easily.
Here's a way to think about objects. Think about data structures in procedural languages. They are a group of fields without behaviour. Think about functions that receive pointers to those data structures and manipulate the latter. Now, instead of having them separate, define the functions inside the definition of the the structures and assume the functions usually receive a pointer to the data structure to manipulate. That pointer is called this. In sum, think about objects as the combination of status (data) and behaviour (methods - the fancy name for functions in OOP).
This is the absolute basic. There are three more concepts you must absolutely master:
Inheritance - This is all about code reuse.
Encapsulation - This is all about hiding the implementation from the interface. Simply put, everything ought to be private until proven otherwise.
Polymorphism - It doesn't matter the type of the reference variable, but the type of the actual instance to know which behaviour (method) is called. Java doesn't make it easy to have this concept very visible because by definition everything is polymorphic. .Net makes it easier to understand as you decide what is polymorphic and what is not, hence noticing the difference in behaviour. This is achieved by the combination of virtual and override.
If these concepts are very well understood, you'll be fine.
One last final tip: You mention the best books. Have you read "Thinking in Java" by Bruce Eckel? I recommend this book even to people who are beginning in .Net, as the OOP concepts are clearly laid out.
Become more agile, learn junit testing and study about Domain Driven Design. I suggest the book Domain-Driven Design: Tackling Complexity in the Heart of Software although it's a bit tough at some points.
OOP skills comes over time. Reading 1, 2 ...10 books doesn't cut it. Practice writing some code. If you are working in a programming enviornment...that can be helpful. If not try getting into one. Offer to develop some application(s) for free. You have to get your hands dirty. Remember...no application is perfect from the ground up.That's why there is re-factoring.
Also...don't get carried away with the OOP too much...it somes over time. Worry about developing fully functional applications.
Try some programming in Self, one of the most pure OO languages around. So pure, in fact, that it doesn't even have classes, only objects. It also doesn't have variables, fields, statics, attributes, only methods. Also interesting is the fact that every object in the system is also an object on the screen and vice-versa.
Some of the interesting papers on Self are Prototype-Based Application Construction Using SELF 4.0 (the Self tutorial), Self: The Power of Simplicity and Organizing Programs Without Classes. Also, Self: The Video (Randall B. Smith; Dave Ungar) is terrific, having two of the language's designers explain Self's ideas.
This works for pretty much any concept, actually, at least for me: find the language which most purely embodies the concept you want to learn about and just use it.
OO finally clicked for me after I tried to program a bank-like program that handled transactions, calculated interest, and kept track of it all. I did it while I was learning Java. I would suggest just trying it, completing it, and then when you're done go look at a GOOD solution and see what you could've done better.
I also think OOP skills strenghten mostly with practice. Consider changing your company, if you've been there for more than 3 years. Certainly, this is not valid for all jobs, but often a man gets used to the projects and practices at a company and stops advancing as time passes.
Roll up your sleeves and code!
You said the answer yourself: practice. Best solution for this is to develop a game. Use the concepts you learnt in the books there.
Have you read the chapter on OO from the first edition of Scott Meyers "Effective C++" book? It didn't make it to later editions, but it was a great explanation. The title was basically "say what you mean, mean what you say" about suitable conventions.
Actually, you might like to see my answer to a similar question over here.
HTH
cheers,
OOP is not a thing you can master by reading thousands of books. Rather you have to feel the inner concepts. Read anything but try to feel what you read. Build a concept in the back of your mind and try to match those concepts when you face a new scenario. Verify and Update your concepts as you explore new things.
Good luck!
Plan things out. Ask yourself how you want your objects to relate to eachother and seek out how things can be changed and modularized.
Code things in such a way that if you wanted to change 1 piece of the code, you only have to change that 1 piece of code and not 50 instances of it.
beer helps. seriously. lie out on a couch with an A3 sized scribble pad, a pen and a beer. Lock the dog, cat and wife outside. And think about the problem while relaxed. Don't even dare draw an API on it!
Flowcharts, Responsibity cards (CRC) and beer (but not too much) go a long way.
Easiest way to refactor code is to not have to in the first place.
http://misko.hevery.com/code-reviewers-guide/
Those small simple rules will make you a better OO programmer. Follow the rules religiously as you code and you will find your code is better than it would otherwise be.
You'll also want to learn the Solid Principles: http://butunclebob.com/ArticleS.UncleBob.PrinciplesOfOod
As much as these principles and ways of programming cause debate, they are the only way to truly write excellent code.
You may already write code this way and not know it-- if so, great. But if you need a goal to strive towards, these are the gold standard.
Give up! Why do you need that that OOP? Just write some usable app. Doesnt metter using OOP, procedual or functional approach.
Whataver approach you choose Python language should be sutable to practice it.
You're my target audience. Look at Building Skills in OO Design
Perhaps this can help.
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Would like to know what a programmer should know to become a good at Designing particluarly in Java/J2EE technologies.
Firstly Good Design transcends whichever language you choose to use to implement the design. Good software design is about managing complexity to create easy to understand code which is robust and maintainable. Key points are
Work in the highest level of abstraction you can at any time
Encapsulate and hide areas of complexity
Understand what value there is in clear and consistent naming
In my mind Good design is achieved by a combination of understanding good practice and being creative. And in my experience the hardest part of design is in achieving the right functional decomposition of the problem into smaller sub-problems. It is important to understand that the process of achieving this decomposition is almost always an iterative process rather than a methodical top down process. You have to be prepared to modify or throw away your previous design decomposition until you have something which is maintainable.
It is hard to talk about good design and not to mention two things in particular
Object Oriented Proctices
Design Patterns
While some languages are object oriented, some are purely object based and others, like C, were created prior to object based design becoming wide spread, the principles and practices can be applied in any language. Most of the code I write is in C and I try to use object like practices where possible.
Design Patterns present good solutions to common problems and give these solutions names. I have found the study of Design Patterns a key to understanding what good design can achieve.
For beginning to understand design, you should probably first write some toy-projects. Write them, take a step back once in a while and reflect, go back and rewrite. Lather, rinse and repeat.
Making mistakes in design is the best way to understand how you should do better next time. There are of course some methodologies you should be aware of, most important of which patterns and information hiding. Beyond that there are various sources/books for software architecture. For example: Software Architecture in Practice (2nd Edition) (The SEI Series in Software Engineering) by Len Bass, Paul Clements, and Rick Kazman
Try to look closely at where information belongs. Should the interest-rate be a field in Account or AccountType for (a small) example.
Last but not least, try to involve yourself in discussions about design. Debate with your peers, but also pick the brains of more experienced designers/architects.
And stay critical! Although Software Design is more of an exact field than building design with (some) clear pros and cons, taste/preference and rhetoric is still part of the deal.
I would recommend a couple of things:
Read about some design patterns. The original Gang of Four book helps with OO design. If your are writing Enterprise applications I can't recommend Martin Fowlers Enterprise Application Architecture book too much.
Patterns give you the essential words to describe designs both to yourself and to others. Just reading about the different approaches makes you see new possibilities. If you are looking at J2EE, patterns like Inversion of Control are essential.
Obsess about loose coupling
The essentials of good design is preventing tight coupling. Anything that can be used to move your code in to loosely couples layers is going to help your overall design.
Read other people's code. Study some high profile open source code in the your technology area.
Just studying other peoples code quickly gives you a feel for nice looking designs compared to cluttered Big Ball Of Mud approaches.
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I find that whenever I begin writing an app in Java/C#, things start off good, but over time, as the app becomes more complex, it just gets more and more complicated. I've become aware of the fact that I'm not very good at design and high level architecture. All my classes become fairly strongly coupled and the design isn't "elegant" at all. I'm fairly competent at "low level" programming. That is, I can get just about anything done within a function or a class, but my high level design is weak and I'd really like to improve it. Does anyone have pointers to techniques, books, etc. that would be helpful in making me a better software engineer?
I disagree about starting with a book on design patterns or refactoring.
In my opinion, for a solid OO design, you should first be familiar with the main OO design principles, then understand how your problem can be represented in those basic principles. Then you can start discovering opportunities for applying design patterns and refactoring techniques in order to achieve those fundamental principles.
I would start with this book:
Agile Software Development, Principles, Patterns, and Practices by Robert C. Martin
In this book, Robert Martin describes the fundamental principles that make a good OO design, all of them related to encapsulation, coupling and modularity:
The Open/Closed Principle
Liskov Substitution
Dependency Inversion
Granularity
Common Closure
Reuse
No Cyclic Dependency
Stability Of Dependency
Abstraction And Stability
After all, almost every Design Pattern and Refactoring technique I have seen documented in GoF and Fowler is aimed at achieving one of several of these basic principles, depending on their relative priority for a given scenario.
Books:
Code Complete, by Steve McConnel
Design Patterns, by Gamma, et. al.
I would start by sketching my design. That sketch could be a box and arrow diagram to show relationships between classes or it could be a variation on UML (or perhaps even standard UML). But I find that sketches help me see that a design is good/bad and maybe even how to fix it.
I would also look at a book on design patterns.
Write a large project and let it spread as big as you can. Then study what you can do to improve your code.
Perhaps single large routines can be clean and understandable too, if they are well-structured.
There's no single good answer on good design. It's actually one of those valuable things a programmer can learn.
You can refactor mercilessly to improve the design of existing code.
The main idea is, at some point the code did make sense, when new features are bring into the code then probably some features or responsibilities must be moved around to another classes, that's fine. Then you stop developing new features and start refacoring your code.
I would recommend you to read:
Refactoring by Martin Fowler
use Object Oriented Design Principles (http://www.surfscranton.com/Architecture/ObjectOrientedDesignPrinciples.htm). also consider some oo design heursitics (http://www.cs.colorado.edu/~kena/classes/6448/s02/lectures/lecture27.pdf)
Try making program outlines and diagrams before you start, and have someone else review and critique it. Then as the program grows, continually update the outlines and diagrams to include the new functionality. Get it reviewed and critiqued by someone else. Eventually, assuming you are learning from the critiques, you will become better at designing programs.
Books and tutorials can only get you so far. While you do need to learn the tools and methods available, knowledge on its own won't help you here. Practice is what will make you better at design, along with having a mentor coach you from time to time to show you how you can better apply some of the knowledge you've gained from the books.
Read the books by all means, but don't feel bad if you write code that ends up having stupidities in it. Everybody does. The question is, can you refactor what you have to fix it? To be able to do that effectively and often, you need to use TDD and write lots of unit tests.
I would highly recommend you try Test Driven Development (TDD). You will find that to make your code testable, and not need to constantly perform rework of your tests, you will need to have a solid design. What you will find is that when you add \ change \ remove functionality, your better designs will require a very small set of changes to a specific set of tests. A poor design will wipe out a huge set of tests - because you have tight coupling, objects responsible for multiple concerns, etc, etc, etc ...
I have found that the better I get at TDD, the better my architecture is, and the better the end result is.
Be advised, TDD takes real mental discipline. You should not expect that you use it for 1-2 days and see immediate results. You will need to really want to do it, and really make the effort - otherwise you won't benefit and likely just end up hating it.
HTH ...
There are a couple of things that you can do
Use tools for high-level and
low level design before you
actually start programming. E.g.
Creating Class UML Diagrams will
help your mind visualize the
solution in a Diagramtic form rather
than Code form.
Familiarize yourself with Java
Design Patterns. E.g. Using
Inheritance Polymorphically to begin
with will warm you up to start using
the standard Java and J2EE design
patterns.
There are a tonne of books and websites pertaining to both the subjects I just pointed out here.
Browse through good API code. For instance Spring framework code.
Read some good books such as Design Patterns (like everyone else mentioned here) and some other books on good practices. For example in Java, Head First Design, Effective Java series, etc.
C++ - Effective C++ series
I would start with : Head first object-oriented analysis and design. and once you mastered it : Head first design patterns.
Obviously, reading some of the recommmended books will help. I think Head First Design Patterns is definitely less abstract than GoF book.
The primary question I ask is "Is this code doing something very specific that could be re-used anywhwere else?" If so, put in in a class in an assembly that allows for re-use.
If you truly are just starting then one thing I used to do was to consider each database table an 'object'. So each database table represents a class. The purists will tell you this is a disaster, but I found it a good way to get myself started thinking in object terms.
Read Head First Design Patterns.
I've been studying OOP for quite a while now and I have a good grasp of the theory. I read the Head First book on OOP and, while it reinforced a lot of the theory, I found the case studies to be somewhat trivial.
I find that I'm applying OOP principles to my code each day, but I'm not sure if I'm applying them correctly. I need to get to the point where I am able to look at my code and know whether I'm using inheritance appropriately, whether my object is cohesive enough, etc.
Does anyone have any good recommendations (books, online guides, blogs, walk-throughs, etc.) for taking the next step in developing solid OOP skills?
I am working primarily in .NET (visual basic), but I welcome suggestions that incorporate various platforms.
Read Refactoring by Martin Fowler, and apply it to your own work.
It will take you through a litany of malodorous characteristics of software code that describe how to detect improperly constructed classes, and even more importantly, how to fix them.
Consider looking into Design Patterns. Although it seems like they aren't commonly used in enterprise applications (I've seen them more commonly used in API's and Frameworks than embedded into enterprise code), they could be applied to make software simpler or more robust in a lot of situations if only developers knew how to apply them.
The key is to understand the design patterns first, then with experience you'll learn how to apply them.
There is a Head First book on design patterns that teaches the concept pretty simply, although if you want a book that really covers design patterns in detail, check out the Gang of Four design patterns book, which is basically what made design patterns mainstream and is referred to almost every time the topic is brought up.
Design patterns can be applied in pretty much any object-oriented language to some degree or another, although some patterns can be overkill or over engineering in some cases.
EDIT:
I also want to add, you should check out the book Code Complete 2. It's a very influential book in the world of software development. It covers a lot of different concepts and theories. I learn something new every time I read it. It's such a good book that if I read it every 6 months to a year, I look at it from a different perspective that makes me a better programmer just by re-reading it. No matter how much you might think you know, this book will make you realize just how little you really know. It's really a great book. I can't stress how much you should own this book.
If you already have the basics, I believe only experience will get you further. You say you are not sure if you are applying the principles correctly, but there is no one correct way. Code you write today, you'll look at in 6 months time, and wonder why you wrote it that way, and probably know of a better, cleaner way of doing it. I also guarantee that after 10 years, you'll still be learning new techniques and tricks. Don't worry too much about it, it will come, just read as much as you can, and try and apply what you read in small chunks.
I am currently half-way through the following book:
http://www.amazon.com/Applying-UML-Patterns-Introduction-Object-Oriented/dp/0131489062
I cannot recommend this book strongly enough in terms of learning a real-life, professional-grade, practical approach to drafting and applying a well-formed and iterative design strategy before diving into code.
I, too, read the "Head First" book and felt that I was much better off for having read it.
After having a few years of working-world experience, I now view the Craig Larman book that I am recommending to be a perfect "next step" for me.
About the Presence of "UML" in this Book Title:
Whether you have positive feelings or negative feelings about UML notation, please do not let that influence your decision to buy the book (ISBN 0131489062) in either direction.
The prominence of "UML" in the title is misleading. While the author does use and explain UML notation, these explanations are extremely well-woven into relevant design discussions, and at no time does this book read like a boring UML spec.
In fact, here is a quote taken directly from the book:
What's important is knowing how to think and design in objects, which is a very different and much more valuable skill than knowing UML notation. While drawing a diagram, we need to answer key questions: What are the responsibilities of the object? Who does it collaborate with? What design patterns should be applied? Far more important than knowing the difference between UML 1.4 and 2.0 !
This book at times seems like it is "speaking to" a lead architect or a project manager. What I mean to say by that is that it assumes that the reader has significant control over the planning and direction of a software project.
Nonetheless, even if you are only responsible for some very small piece of your company's projects and products, I would still recommend this book and encourage you to apply some "scaled down" modifications of the book's advice to your piece of the project.
My OOP epiphany came from Grady Booch's book, way long time ago. Suddenly I realized why objects were good.
While polymorphism is cool, encapsulation is 75% of why objects are cool. It is sort of like an interface: you see the buttons but not the wiring. Before objects, only the most disciplined coders kept their grubby fingers off the internal bits of other people's procedures (it was called "structured programming").
Object make it easy to Do the Right Thing. Inheritance and polymorphism are little bonuses.
One way to learn about objects is to read other peoples' code. I learned a lot by reading the source code for the Delphi VCL framework. Even just looking at the documentation for Java will help you see what a single object class should do and how it is designed to be used by other objects.
Start a project of your own and pay attention when you want to sub-class your own classes and find that you have to go back and break up some protected methods so you can override just one piece of a process instead of replacing all of it. See how ancestors talk to descendants by calling abstract functions. In other words, go make a lot of mistakes and learn from them.
Enjoy!
Frankly, re-reading old David Parnas papers on information hiding helps me get in the right state of mind. The case studies may not be directly applicable but you should be able to get some useful generalizations out of them.
My epiphany happened when I tried to implement a very OO problem (dynamically and recursively building SQL statements) in VB6. The best way to understand polymorphism or inheritance is to need it and not be able to use it.
One thing that will definitely help you is working on a well-known, respected open source project. Either dig through the source code and see how things are done or try to make some additions / modifications. You'll find that there isn't one style or one right answer for most problems, but by looking at several projects, you'll be able to get a wide view of how things can be done. From there, you'll begin to develop your own style and will hopefully make some contributions to open source in the process.
I think you have to attempt and fail at implementing OO solutions. That's how I did it anyway. What I mean by fail is that you end up writing smelly code while successfully delivering a working solution. After it's written you'll get a feel for where things didn't quite feel right. You may have some epiphanies, and/or you may go and hunt for a slicker solution from other programmers. Undoubtedly you'll implement some variation of standard design patterns by accident. In hindsight, a light will click on (oh! so that's what a visitor is for), and then understanding will accelerate.
As others have said, I think tooling through some good OO open source code is a good idea. So is working with more experienced programmers who would be willing to critique your work. However understanding comes through doing.
You might want to try to read (and write) some Smalltalk for a while. Squeak is a free implementation that can show you the power of a fully object-oriented environment (unlike java or .net). All library code source is included. The language itself is incredibly simple. You'll find that java and c# are slowly adding the features well-known to Smalltalk since 1980.
Tortoise HG is extrodanarily well designed piece of OO open source software (written in Python).
If you already understand the basics, building something from scratch in a fully object oriented language will be a good step in fully understanding OOP software architecture. If you don't know Python, Python Essential Reference will take you through the language in full in a few days to a week.
After you understand the language take a look through the software above and you'll have all sorts of epiphanies.
To understand basically anything thoroughly, you need to have a decent knowledge of at least one abstraction level above and one level below it. In the case of OO, others have mentioned design patterns as the layer above OO. This helps a lot to illustrate why OO is useful.
As far as the layer below OO, try to play around with higher-order functions/late binding for a while and get a feel for how these relatively simple constructs are used. Also, try to understand how OO is implemented under the hood (vtables, etc.) and how it can be done in pure C. Once you grok the value of using higher order functions and late binding, you'll quickly realize that OO is just a convenient syntax for passing around a set of related functions and the data they operate on.