This is a post I should have written yesterday, actually, since it is already June, ready for the next “Language of the Month“. Still, let’s finish off this May Edition.
First, I should have spent more time on practicing Scala, as I haven’t actually finished anything in the end. It is probably an excuse, but after using Python for such a long time, getting used to a compiled language with its own weird path-, naming- and import conventions, was just a little bit too much. Mostly I was reading the Pragmatic Bookshelf: Programming Scala, practicing the examples within. That book uses Scala 2.7.x and the current version is 184.108.40.206, so there are a few things that work differently and I ended up having strange error messages with little to no clue how to fix them (mostly imports, and some method signatures must have changed as well). So it was a limited but exciting success.
All in all, I liked the language even if I don’t have a clear usage case for it in my mind (just yet). Some bullet-points of my experience:
Different way of thinking about “batch” operations (i.e. foldLeft)
Once I figure out the Actors that well that I can write related code without referring to the tutorials, that’s going to be a very powerful tool
Pattern matching, pattern matching everything. This is one thing that blown my mind in the little Haskell I checked so far, and missing from Python a lot.
Flexibility with class definitions, they can handle so many different situations in a very logical and powerful way
Length of compilation and program start. Will have to get used to it, though I read some hints that this can be improved.
Pretty frequent need of using things directly from Java, so one is never quite independent
Special methods that have reserved name for certain functionality (act, apply, …) that are non-obvious, and not easily distinguished from the arbitrarily defined methods.
Definitely will come back to it and learn it in more detail. It looks like a fine language to do parts of larger projects in. In the meantime I will update the link collection in the previous post with new links that I find. I certainly notice more and more Scala posts on Hacker News these days.
For the last 3 weeks or so I was checking out Scala, and will do for a little while more, so just want to do a little catch up where things are at the moment.
I tried to find a couple of starting points to start to know about Scala. First thought video tutorials or talks would be useful, so been around checking on YouTube. It seems the mainly referenced intro is Scala: a scalable language. Well, it told me a lot about how Scala compares to other languages and how is it better than those, but not much to start learning it. Though the talk made it sound like it is one of the best and most modern languages out there, taking the most useful ideas from loads of other languages.
Had a copy of the Pragmatic programmer: Programming Scala, and just finished going through it. By that I mean that skimmed all the chapters and did try some of the code samples that looked interesting or strange. Not bad, but from the book I just have a very limited answer to the question of: “but what is it really great for?” Concurrency, sure, but that is probably not all.
I don’t know a language before I code enough in it, but before I know it I don’t have to much inspiration what to code. In this case, programming puzzle sites come very handy, though not all of them support Scala. I went to Coderloop because they do and I can submit my solution for performance testing, or could use Project Euler because they are language agnostic (one sends the results only).
Since Scala is built upon the Java Virtual Machine and supports pretty much all of Java, it feels a little Frankenstein language: every now and then, even for some things that should be quite commonly used, things have to be programmed in Java. Lots of language features are cool, though, even if most of it feels just syntactic sugar. In a way, maybe the whole language is just that? It’s not bad, makes things very concise and powerful, but always feels there’s something more in the background.
Actors and concurrency are pretty cool, though. In the talks I’ve seen people compared them to Erlang, just even more powerful. This is something more to play around with, would like to make something interesting, scalable and fault-tolerant – those are the fun stuff aren’t they? (But this also makes me want to try Erlang soon so I can compare).
Since I was doing mostly Python lately, it feels a bit weird to use a compiled language. For simple programs, it takes quite a long time to do that compilation, enough to wind me up a little when I was troubleshooting. That said, maybe I’m doing a little bit too much “programming by accident“, so I deserve it? Also, starting a Scala program takes a while as well, though once it is up and running, it’s pretty fast.
At this point, I’m not totally sure yet what project to make until the end of the month. I need more programming itches to scratch. The only ideas I came up so far are self-playing games with actors. Or some server/provider. Well, just keep brainstorming, something better has to come up. Maybe when I dive a little bit more into it, since at the moment I cannot really “think Scala” yet.
There’s also a web framework for it, called Lift, which is probably not surprising. The close connection wit Java (and hence with so many of enterprise software) and event based, fault tolerant concurrency is just too juicy. Not sure if anyone’s hosing it, tough (got to check out), either way I can just try it on my local network. I wonder how does it compare to Django, since that’s what I have a bit of experience with.
I’m not a big fan of subsidies, since then people cannot make decisions based on the real cost of things
Subsidy comes out of someone’s pocket anyway, so ultimately everyone does pay for it
Looking at the governing party‘s track record and the nearing elections (<1 year), this is likely to be politically motivated
Fuel is pretty cheap compared to other places already, so it must be already heavily subsidized.
The points 1, 2 and 3 are opinions and generalizations. I had to realize that point 4 I just thrown in there without knowing whether it is really true – I just believed it is. Now here’s a good example for [Citation needed].
Filling in the blanks
Yeah, what do I really know? I lived in Hungary and Britain before, and I remember there fuel was more expensive then in Taiwan. Also, it’s open knowledge that the US is pretty cheap, compared to most of the world, that is… But are there any patterns in the price, and what would I expect Taiwan’s level to be?
I was checking around for a while, fishing for the right keywords for the search (“fuel” / “petrol” / “gas”, depending where one’s from, as a starter). Found a couple of sites but they were mostly looking at price comparisons within a country (like Petrolprices for UK) or within a region (like AMZS for Europe, works weird – no real static link, click the UK flag then “fuel prices” in the menu on the left). After a while, however, I did come across a German organization, Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) which in fact had a study about international fuel prices. Go ahead and check the 2009 version, it is very interesting to see all that data and some analysis as well. Historical trends, relative prices, some case studies too. I would have loved to see more analysis, but maybe next time, when I’ll be in the in a position to commission such research. :)
Anyway, looking at the Taiwanese data in from 2009, diesel is slightly subsidized while gasoline is, which means that they are somewhat – but not too much – below and above the US price, respectively. In the ranking, Taiwan is very much on the cheap end.
While looking around a bit more on their site, they have a Data preview for 2010/2011 as well. The more recent is the data the better. Took a look at that too. Now Taiwan is a bit above of the US price with both types of fuel, but still on the cheap end. All their data was in a picture, though, that’s not very handy… So did a little data entry, resulting in this datafile.
I was also thinking, whether the economy affects the prices, and if does then how? Wikipedia first for GDP/capita for all the countries of the world, but they were taking the data from the International Monetary Fund, so let’s go to the source. I checked out their data export tool and there were quite a few more fields to choose from. I went with GDP per capita, Implied purchasing power parity, Value oil exports, Value of oil imports (these last two are good catch:). The output is here. The bottom of the page has a download link, downloaded it into this file without modifications.
Next, had to write some analysis code for the whole thing as well, converting the data into suitable database, fixing some errors in the primary database’s data formats. So in the end I had a simple little script that does:
Clean up some of the names (some Unicode errors originally), and fixes one: I do want to convert the original “Taiwan Province of China” into “Taiwan”…
Fix formatting errors in the IMF data: they used number formats of “12,345.00” instead of just “12345.00”
Fill missing values with “-1” so it’s easy to filter out later
Rank countries by fuel price, ignore countries that have missing economic data or missing price data
I was looking around for some useful visualizer – something that can handle this much data better then an ordinary static plot. Fortunately, Highcharts JS seems to just the right thing…
The first plot I wanted to reproduce is the one from GIZ’s Data preview. Let’s see how it works out:
Instructions: “red”/”blue” countries are net oil exporter/importer respectively, hover over any of the lines to see which country it is, can click-and-drag zoom into area…
So yeah, Taiwan is down at 49 out of 161 countries, and just few net-importer (blue) countries ranking higher. Even those are mostly poor ones.
Now the second picture, how do fuel prices compare with GDP/capita – which I naively think to have some connection to economical power:
Instructions: note that the GDP scale is logarithmic, hover and zoom are the same as before.
Might be just my eyes, but it seems to me that there are two lines on this plot if one ignores the net exporter (red) countries for a second. From the middle to the right prices are increasing: the wealthier countries can pay more for the fuel. On the other hand, from the middle to the left prices are increasing again: poorer countries cannot really afford it. The cheapest (nominally) are the middle-to-poor, $1000-5000 GDP/person countries.
Bottom line: Taiwan is there at ~$18000/¢100, and if there are indeed these lines, then Taiwan is waaaay below the wealthy country line. Based on the economy, the price should be closer to ¢150. This suggest to me that the original assessment was correct: Taiwanese fuel is cheap.
Global Price API
All of this data-hunting and conversion and plotting should not be this much of a pain. I have a feeling there’s need and desire for open access for such information and that transparency would help people’s decision making – whether those people are in charge or part of the public (and should be “ultimately in charge”). Of course, I’m not the only one to say this, and I’m not even a very good one making this happen – just check out Hans Rosling’s TED talk.
I was thinking, how to build a globally accessible database of consumer prices? Fuel is a good choice because it’s universally needed and there are not too many kinds, one can compare apples to apples. On the other hand, there could be other items as well. Maybe recruit a few volunteers from a big bunch of countries so periodically they add more info to a database. Or fully crowdsource it, maybe even the item categories as well? Then build an interface that it can be easily queried and used by programmers and non-programmers as well. Or is there any such database already? Pitching version: “Archive.org for global price and other public data”. Not that I have a business model for this… I’m sure I’d prefer the same as SimpleGeo and completely open the data itself, but I know there are people who will still find opportunities – or make some.
Any thoughts on this? One selfish thought I have is that this would be lovely so I never ever again have to manually enter all the names of all the countries of the world. :) But I do believe there’s much more to this project.
I was thinking what what to write about, but then I realized that is doing this whole blogging thing completely the wrong way. I should be thinking what to do and interesting things to write about will come out of that. It always does.
I was watching the Programming Paradigms lecture series from Stanford. I quite enjoy it, mostly because Jerry Cain seems to be a good lecturer. A quick check confirms that others feel that too. I haven’t finished it yet (24 lectures in to the 27 long series, each ~50 minutes), he talked a lot about C, then Scheme, now about Python. He also mentioned a couple of other languages he suggest for the students to try. That got me thinking: I love languages (human and programming as well) and always looking out to learn more things. Why not do some more exploration in this area – trying out languages that are quite different from each other and see what can I take home from each. I did have similar idea last year, “Language of the Week”, but one week is just too little to get to any practical depth in a language and that idea died. Now, I’m hoping to resurrect it in the form of “Language of the Month”. It is conveniently the beginning of a month so I can just start right now. :) Also, let’s make it round – a 12 language series, one for each month until the same time next year. That should be a challenge. So I made a 12 item list for planning:
Many of these I was planning to check out for a long time and now I have proper motivation. Some of them I got intrigued about while I was checking this humbling list. Note, that “?” are not weird languages, but I keep things open to add more as I get more experience with this (you too can give me recommendation in the comments!:). Also note the absence of some languages, like C and Ruby: those I really should know more, that’s why I won’t do them here, they have enough intrinsic motivation, here I want to try somewhat more off-the-path things.
The simple rule for this series is: every month choose one new language and by the end of the month implement something practical in that language. Something that scratches a real life programming itch. Other than this, all bets are off. See what I can learn.
Now the hard part: which one to start with, since the above list is rather a “set” – ordering is not included. I did roll a dice, but didn’t like the result (like most rolls of dice:), so let’s just choose one: The Language of the Month for May is Scala (because I know absolutely nothing about that, unlike some of the others).
I guess when a hacker learns a language it is different from the way “others” do that. I guess this, because I think I’m a hacker, I’m learning a language and it feels different. I see two main factors coming in the picture:
I’m connecting things in my life, so the things I do usually need some motivation or purpose behind them, without which they are abandoned. The activities I keep up the best are the ones that connect multiple different things.
I want to do things as efficiently as possible. Hack the tools, hack the process to make it better. If there are no tools, make some. If no processes, come up with ideas.
Okay, these are pretty vague expressed like this, now let’s give the example that prompted this post: I’m learning Chinese. Living in Taiwan for two and a half years now, so “high time” doesn’t even start to describe it. Finally I got a tutor, and a good one at that, so twice each week I have a good session of chatting and learning. After each of the sessions we have at least 30 or 40 new words and expressions written down. Those would normally be just forgotten, so I take an effort (about another hour or so after the session) to type them into a Google Document, this very one on the picture:
Enter the English expression, the Chinese original and the pronunciation in Bopomofo (which I prefer to Pinyin). This last is possible because of Yahoo Chinese-English Dictionary (one service that is generally better than Google’s own Translate, though I frequently need to use both). The other three columns I’ll came in just recently.
At the moment I’m up to 307 expressions, and that’s just not possible to practice from a spreadsheet like that. I remembered, though, checking out a fellow StartupBus participant, Pamela Fox‘s Google Spreadsheet Flash Cards some time ago. It was fun but followed a different logic than me so couldn’t make complete use of it. But then: why not make a new practice system for myself? This goes back to the precious points: 1) connecting programming and languages – in both I’ll learn something new and they’ll reinforce each other’s motivation, 2) use the exact tools that I need even if I have to make them (because it’s possible to do).
Also after having done Who Said That? (that is currently down due to the AWS fail), I was into guessing games: let’s make a vocabulary guessing practice app that uses the above spreadsheet that I have anyways. What format it should be? Well, for the very first test, to see how to interact with Google Docs and such, just made it as a simple, console-based python app, something like this:
Each practice round has 30 questions, randomized, 4 possible solutions, with the pronunciation as hint. Simple, though very ugly in the inside at the moment (here’s the repo, I still need to write a ReadMe). It works and now I know what to look out for in terms of implementation (how to log in, how to get and update data, stuff like that).
The other 3 columns in the above spreadsheet are explained as well: they are keeping score such as the total number of times a word/expression is practiced, the number of good answers and the number of current good-answers-in-a-row. These provide a rough-and-ready way to diagnose and manage the learning process – until I come up with better ways. Anyway, right now I get about 50%-70% good which is more than I expected, but still a lot more room for improvement.
A list of improvements to the program that I’m thinking about:
Making it into a site, so I can use my phone on the go to practice. Also, potentially others can use it as well to practice anything based on any spreadsheet with “one side – other side – hint” structure.
Need to figure out some easier setup of the spreadsheet if this is to be used by others later. I cannot rely on them understanding what they way I was thinking. Maybe in-app option to add more fields?
I remember reading somewhere that the most effective practice is that I reduce the frequency of checking words that I know well. That’s where the last column comes in: as one has more right answers in a row, one can tast that word/expression fewer times. If there’s a mistake then go back to the original method and test it more until score builds up again. This can potentially be a very complicated algorithm, I got to think of a way that scales well (ie. it is not too bad compared to an ideal method but does not require extensive amount of calculation). Have some ideas, but they need more polish.
After watching Salman Khan’s TED talk this year it grabbed me just how much information is there in one’s actions (they do amazing feedback to teachers on how the students study), how much better you can understand why did people what they did if you have all those diagnostic information (ah, the temptation of Big Data:). To apply this idea of extended diagnostics I could have a logging system instead of keeping (a simple) score. From there the system could get: how much you practice, how are you doing / getting better, what are easier or more difficult words for you, what two words you mistake with one another, suggest things to practice more, suggest words from topics that you know well to extend your knowledge… And more (this was just a little brainstorming). I don’t think I’d have time to extend it like that, and ideas are a dime a dozen, but one never knows…
Adding more modes of learning not just multiple choice, multiplayer learning, more game mechanics (achievements, pins anyone? :)
If there are central datasets instead of self-provided ones, then the system can anticipate what are the difficult parts from other students’ performance before you.
Now, let’s just see how will my Chinese improve during all this hacking, since that’s the main point, isn’t it? :)
Ps: If you have any language learning tricks, let me know in the comments!