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I wanted to ask little bit generic question about Java API's. I'm new in Java, learning myself and of course I enjoy it while learning. But when it comes to Java API's, to me it's hard to understand even if I know OOP's Concepts. Actually I often confuse while reading JavaDoc's. Agree that there are bunch of information about what class's(interface, enum..) has, what they extend, implements or whatever. Even though I couldn't use them without looking from the internet.
So, what is the best way of learning those API's in general, just give me your followed way while learning Java.
The best way to learn Java is to read articles with examples. It is common approach for newbies and professionals. JavaDocs is dry, too formal and really are often confusing (especially for methods from Stream API with 3+ generic parameters).
The way I did was to read certification books, for OCA and OCP, they start from the very basic, and builds up on the top of that, with examples and exercises.
It is a really nice way to build your core knowledge of the language. With that solidified knowledge you can start reading articles about different subjects in the Java universe ...
Just be patient, code as much as possible, and it will become natural aftar some time.
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Are there any added advantages to using Cypress instead of TestCafe? while comparing usages with developer friendliness, are there any added advantages using Cypress.io
This is difficult to answer, especially when you don't provide us with any insight into your context. These are not identical products, they might be suitable for slightly different use cases.
I can tell you my personal opinion of the two, but that might not apply to your situatio(s), so I just recommend reading documentation:
https://docs.cypress.io/guides/overview/why-cypress.html
https://devexpress.github.io/testcafe/
and trying the products on some real projects.
Some areas to consider:
what you want to automate
who needs to maintain the tests - how well people know JavaScript, Cypress, in my opinion, requires more knowledge in this area which seems to bring a lot of trouble to many people
reading carefully trade-offs and best practices in Cypress - if you don't already follow many of these practices, you might find it really hard to completely switch to Cypress
documentation support - this is exceptional in Cypress, really good docs online, with tons of examples, you rarely see this with other technologies
both products have some additional paid features, have a look on what you need to use
integrations with other services - CI, browserstack and the like
etc.
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I recently started looking at programming and have been quite interested in it. The only bad thing is that I don't know how code works, where I can write it, or what languages to take into consideration.
I want to learn how to make applications for the iOS operating system, and i heard Objective C is the language for that. Is Objective C something you would recommend to a beginner?
I just wish I could grasp the concept of programming a little better and get a better understanding because, as of right now, it seems extremely complicated.
As a beginning programmer, I would advise that you'd be better served learning how computers and programs work as a general concept, which will orient your thinking as to how programs are made.
I've heard lots of good things about the Haskell language in this regard, and I would recommend you start here: http://tryhaskell.org
Once you have a good concept of how programs work, and what kind of thinking and organisation is required, then you can move on to languages like C/Objective-C, which would be very frustrating to start on.
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I am documenting a small itcl project. Due to shortcomings in itcl support in doxygen, and the fact that Ruff! does not support itcl, I am left with NaturalDocs and RoboDoc as the leading candidates. However, I don't want to pick an unsupported system, and was wondering which is going to be there in the long term?
What will be there in the long term? Who knows! It depends on how much people use it, really, as with all open source code systems. It should be noted that both the tools you refer to are really slow developing at this point: they do what they do and need little significant change to keep on doing it.
As far as I can see, ROBODoc requires that you do pretty much all the annotation work yourself, whereas NaturalDocs will derive a bit more for you. Not very much though; in particular, you will have to write plenty of annotations on things whichever route you use. (I've no particular experience with either though; I tend to prefer to maintain documentation in a separate file with something like doctools but that's a very different approach. I've also done nasty custom things in the past; you really don't want to use them.)
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I am currently my software engineering degree and as I am in my second year I need to select a topic for my project. I am totally confused on how to pick a good project topic, which I could use in my final year as well.
I have specialization in the following areas, java, vb.net, sql server 2005 as well as artificial intelligence.
I can also manage with designing interfaces for vb.net in flash.
Any help on a good topic which I should select would be greatly appreciated.
The best projects are the ones that you actually want to build. I struggle with this kind of thing myself in my "outside-of-work" projects.
Gauge the amount of time you have to work on it, that will probably limit your possibilities.
Pick something you're passionate about, even if it means learning a few (small) things -- this isn't a good time to learn C# or Ruby, but using learning how to use encryption in VB.NET is probably small enough.
If you can, build something you can use or that someone close to you can use.
An example:
I built a small P2P messaging client for my 3rd year security course which used Public Key encryption to send messages between clients. It wasn't fancy, but it worked and I managed to build it in about 3 weeks. A few of us used the client in class for the remainder of the term.
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While studying different programming languages, I recently hit upon Icon programming language. It seems to have quite cool syntax and functions for string scanning, goal directed execution, generators etc. and it was developed quite a few decades back (1977).
There doesn't seem to be much information available on it regarding the places it is used currently. It doesn't seem to be actively developed or supported also. I was wondering if people really use this language in certain niche areas even today or is the language now primarily of historical interest? Will it have much relevance in future also?
The TIOBE programming language index http://www.tiobe.com/index.php/content/paperinfo/tpci/index.html places it somewhere between 50th and 100th in terms of
the number of skilled engineers world-wide, courses and third party vendors.
If it hasn't gotten any further than that since 1977, I doubt it ever will.
If you're into "cool," complex languages with sophisticated capabilities, Scala may scratch your itch.