Scraping model information from a program using python - python

I'm attempting to pull physical property information (dimensions and resistance values, in particular) from an architectural (Autodesk - Revit) model and organize that information to be exported as specific variables.
To expand slightly, for an independent study I want to perform energy balances on Revit Models, starting simple and building from there. The goal is to write code that collects information from a Revit Model and then organizes it into variables such as "Total Wall Area", "Insulation Resistance", "Drywall depth", "Total Window Area", etc. that could be then sent to a model (or simply a spreadsheet) and stored as such.
I hope that makes some sense.
Given that I am a novice coder and would prefer to write in Python, does anyone have any advice or resources concerning an efficient (simple) path to go about importing and organizing specific parameters from a Revit model?
Is it necessary (or realistically necessary, given the humble extent of my knowledge) to use the API for this program (Revit) to accomplish this task?
I imagine this task is similar to web scraping yet I have no HTML to call and search through and therefore am happily winging my way along, asking folks far more knowledgeable than I if they have any insight.
A brief background, I have next to no knowledge of Revit or APIs in general, basic knowledge of coding in Python and really want to learn more!
Any help you are able to give is absolutely appreciated! I'm also happy to answer any questions that come up.
Thank you for reading and have a terrific day!

Great question - my +1 is definitely for Revit Python Shell (RPS).
Likewise I had a basic understanding of Python and none of the Revit API, but with RPS Ive coded multiple addins for our office (including rich user interfaces using winforms) and had no limitations so far from coding in Python. Its true that there is some translating C# API samples into Python - but the reward is in seeing a few paragraphs of code becoming a few lines...
The maker of RPS (Daren) is also really helpful, so no questions go unanswered.
Disclaimer is that (like you), Im a novice programmer who has simply wanted to use the API to extend Revit. RPS for the win

Indeed the most used programming language for Revit is C# (.NET), if you decide to go with IronPython, it should work, but there is less material...
Using C#, check the My First Revit Plugin training. For your specific scenario, download the SDK and check the "Fire Rating" sample.

Related

Is Python ideal for this web project?

I'm working on a school project which I would like to showcase in a web browser or application.
I would like the user to control the work with a mouse or keyboard. I want to show a unique image based on where the curser is over a visible grid. An additional feature is the ability to switch to a different "stack" of images upon user input from the scroll wheel or in a dialog.
I have a beginner-intermediate understanding of Python.
Theoretically, I could write this using Sage, but I would like the feedback to be instant - a change shouldn't require a new calculation, just show a new image.
Additionally, I would like to create a feature which takes the user on a "tour" based on information attached to an image.
My first thought was to use an online website builder (Webflow), though an opportunity to learn a new language or expand upon my knowledge of Python is my first choice.
What language is best suited for this?
This is possible in Python, as nearly everything is (Python is a Genral Purpose Language), so you could certainly implement this in Python.
The best language for this, however,IMO, would be JavaScript.
Python will almost certainly get in your way or at least hinder you slightly in comparison.
An 'online website builder' is not likely to provide you with the required amount to control needed to implement you project - most of these are painfully simplistic drag-and-drog tools where any real control only comes from adding your own CSS/HTML/JS anyways.
JS is an incredibly useful language and also very well suited for nearly all web/browser projects, so use this opportunity to learn it !
Further, React Native can let you use JS for mobile apps too, if that's what you meant by 'applications' or you could simply keep it a web app.
PS. This may also be possible with HTML5, which is perhaps simpler and easier to learn, but I'm no a web dev so that will have to be confirmed by someone else.
I am sure, though, that this is very efficiently doable in JS.

AI and Design of an El-fish like simulator environment?

first post here on stack overflow, hoping to get some advice on how to construct a simulation program akin to the 1993 maxis simulator known as El-Fish wiki here , Also, game info here .
Are there known "Simulation system" algorithm groups that can function and create real life interaction etc... e.g. the visualization known as 'flocking' ? Or, is there an open-source code base to study off of already in construction?
Programming wise, would this also be able to be easily done in a purely functional language? if done in an OOP way, i was thinking of prototyping it in python.
Anyways thanks for any direction in pointing me towards a good starting place. I hope to build a graphical view of an idea/data world. It will be hopefully controlled by underlying simulation AI(heuristics maybe?)
In terms of simulation systems, I recommend you search for "agent-based modeling" software. There are a lot of free toolkits available. The two I like the most are NetLogo and Repast.
Also, it looks like you are implementing a "genetic algorithm". There are many good books and pages on that topic.
Python is good, but so are many other languages.
Most of your time will be spent doing the graphics: animating the fish so they look realistic. Unless you can find a free fish-animation-library.
I recommend you try my own GarlicSim framework. It's written in Python and you'll be writing your specific simulation in Python.
It can definitely handle the kind of simulation you want. There are tutorials available which will teach you the basics of GarlicSim in 30 minutes. I'll be happy to help you build your simulation package, just say hello on the mailing list and I'll guide you from there.
I'm not sure about "real life", but there is a flocking algorithm called boids that might be a good example to start from. There are a couple python versions of it as well. There's one that is an example in the owyl project on google code.

How do I get an overview and a methodology for programming in Python

I've started to learn Python and programming from scratch. I have not programmed before so it's a new experience. I do seem to grasp most of the concepts, from variables to definitions and modules. I still need to learn a lot more about what the different libraries and modules do and also I lack knowledge on OOP and classes in Python.
I see people who just program in Python like that's all they have ever done and I am still just coming to grips with it.
Is there a way, some tools, a logical methodology that would give me an overview or a good hold of how to handle programming problems ?
For instance, I'm trying to create a parser which we need at the office . I also need to create a spider that would collect links from various websites.
Is there a formidable way of studying the various modules to see what is needed ? Or is it just nose to the grind stone and understand what the documentation says ?
Sorry for the lengthy question..
The MIT Intro to Computer Science course on the MIT OpenCourseWare website was taught using Python. There are 24 lectures available as videos that you can watch for free.
It's kind of academic to be sure, but it would give you a very solid foundation to start from.
Start working your way through the Essential Python Reading List, which has articles on how to code in Python and how to do it well.
If you like a more academical approach try Learning Python from Mark Lutz.
For the use of standard libraries, the official docs are very good. More hands on descriptions can also be found in PYMOTW from Doug Hellmann
It might be useful to get some information on Object Oriented programming (just what is the whole class thing about, and how do you tell if your classes are good/poor/indifferent). Mark Lutz' book Learning Python has an entire Part (several chapters) on OO. If this stuff is new to you, it might be helpful to take a look. Two other books I have found quite useful: The Python Cookbook (Alex Martelli, a prolific contributor here), and the Python Essential Reference (David Beazley).
Just do your project, learning what you need to along the way. By the time you do that a couple times, you'll "get" it. And you'll only improve from there.
You can also read other peoples' code: download X that looks interesting and read through the code to understand how it works.
Those two tips will help you learn any language. Aside from that, Dive Into Python is a great resource for learning a lot about Python.

Python programming general questions

I heard that Python is easy and powerful, but I don't know if I'm on the right track to learn it. I learn from online tutorials, I know basic maths calculation and printing strings, but how long will it take to develop something useful? I don't really know the exact uses of Python, though.
I'm not exactly sure what you're looking for, but I think one or more of the following may be the next step you're looking for.
Perhaps you would like to use a variety of different protocols for a networking program, you could check out Twisted.
Or perhaps if you would like to make a web application or blog you can check out Django.
Or perhaps you would like to make a GUI application, you could take a look at TkInter.
Or perhaps you would like to get into game programming, you could take a look at Pygame.
Or perhaps you would like to ... you can take a look at the Python Package Index.
How long will it take? This depends on your programming background in general. The best way is simply to jump into the topic you're interested in and start on a mini project.
Python is a general purpose language. You can use it to make a lot of different things, but it's best suited at stuff that doesn't require a lot of speed, since the high level features have a performance cost.
It's hard to tell how long it will take you to develop something useful. The other day I made a script to help on a small computer administration thing. You could do that with a week or two of experience (or maybe less), depending on your previous programming knowledge and the amount of time you put into studying. However, if you want to make something bigger (maybe an audio player, an IM client, mid-sized stuff like that), you probably need some weeks or months of practice. It depends a lot on the time and energy you invest in programming.
I'd suggest to follow either the official tutorial or Dive Into Python.
In general, it depends on you. Python can be used for simple or complex stuff, and for many different applications. It depends on what you want.
Have a look at Mark Pilgrim's freely available book called Dive Into Python. I think it's a better choice to start with than online tutorials. The best way to learn a language is to start to work on a project. As I read this book, I started to implement a simple image viewer. As I advanced with the book, I could refine the project progressively. Invent something that is interesting to you.
I also suggest you taking notes when you learn a programming language. When you learn something that can be useful later, make some notes with a simple example, e.g. how to read a text file line by line, convert int to str, convert str to int, basic list operations, etc. Later on you can use these building blocks in a larger project.
Like every other programming language In order to learn Python you need to write a program with it.
Find a pet project and use python to code it. I also recommend Dive into python" (like anyone else that answered your question).
A few months ago I've decided to learn IronPython (.NET implementation of python), I'vve started by reading "Dive into python" and a few tutorials and then I've started coding a simple board game using IronPython (you can read about it in my blog).
In order to learn a new programming language you need to use it and then you'll know how and where to use it.
The best way to learn how to do something useful is come up with something useful you want to do. Make sure it's not way out of your league, then do research to accomplish it. That's how a lot of programmers learn languages.
What other programming background do you have? What programming interests do you have -- web apps, numerical / scientific computations, games, ...? Python is good at many different things, for both beginners and experienced programmers, but the most fruitful approach(es) to it do depend on what you already know, and what really interests you!-)
Bram who invented bittorrent with python says python is good for writing protocols in addition to aforementioned webapps, games and general purpose. Compared to Java python solves same problem in less code and less ways in longer development and VM time where Java has more ways solve same problem in more code and faster VM and faster development time.
Making a comparison between Python, and other languages would not help, as there is always somebody who would find a reason to prefer one language instead of another.
If you want a scripting language that is powerful, but that it is easier to read than perl, that doesn't have a curly bracket syntax, and that allows you to learn something about object oriented programming, then Python is the language for you.

Newbie teaching self python, what else should I be learning? [closed]

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I'm a newbie to programming. I had 1 semester of computer science (we used java). I got an A in the course and was able to do everything assigned, however I'm not sure I really understood it. I ignored the text and learned by looking at sample programs and then trial and error. I was ahead of the class except for two guys who came in knowing java or another OOP language.
I'd like to learn Python. I'm also going to build a second PC from extra parts I have and use linux. Basically, I want to enhance my knowledge of computers. Thats my motivation.
Now on learning python are there any good programming theory books that would be useful? Or should I read up on more on how computers operate on the lowest levels? I don't think I know enough to ask the question I want.
I guess to make it simple, I am asking what should I know to make the most of learning python. This is not for a career. This is from a desire to know. I am no longer a computer science major (it also would not have any direct applications to my anticipated career.)
I'm not looking to learn in "30 days" or "1 week" or whatever. So, starting from a very basic level is fine with me.
Thanks in advance. I did a search and didn't quite find what I was looking for.
UPDATE: Thanks for all the great advice. I found this site at work and couldn't find it on my home computer, so I am just getting to read now.
My recommendation is always to start at the high level of abstraction. You don't need to know how logic gates work and how you can use them to build a CPU -- it's cool stuff, but it's cool stuff that makes a lot more sense once you've messed around at the higher levels. Python is therefore an excellent choice as a learning aid.
How to Think Like A Computer Scientist: Learning With Python is available on the Internet and is an excellent introduction to the high-level concepts that make computers go. And it's even Python-specific.
If you're looking to have your brain turned inside-out, SICP will do a good job of it. I don't recommend it as a first text, though; it's heavy going.
Both of these books are high-level. They won't teach you anything about the low-level details like memory structures or what a CPU actually does, but that's something I would reserve for later anyway.
D'A
Specifically for the Python part of your question I can highly recommend http://www.diveintopython3.net/ by Mark Pilgrim. That's free and pretty well structured.
Python is a nice choice, you will have fun!
http://www.pythonchallenge.com/
I think this Challenge is perfect to get in touch with major python strengths and there is a nice forum with a lot of interessting Python Threads for each Level.
A lot of this depends on what your overall goal is for learning Python. Are you viewing it as learning a second language or getting a better understanding of computers and how to effectively use a programming language?
From what it sounds like you want to gain a better understanding about computers and be a better programmer. Learning a new languages such as Python will probably not help you in this respect. I still recommend learning Python if you're interested, but once you have learned one programming language, much of learning a new language is getting familiar with the syntax and data types (usually).
You had mentioned you were unsure about understanding the material in the class you took. If you feel you don't understand fundamental concepts (such as loops, classes, etc), then learning Python will help your understanding of programming as most books/guides revisit these concepts (Learning Python, 3rd Edition should help with this). If you understand these concepts, but you are unsure of how to apply these concepts, then my recommendation would be to learn about data structures and common algorithms (e.g. sorting, searching, etc).
Speaking from personal experience, I didn't know how to apply what I learned from the introductory programming class to personal programming projects. Learning about data structures from a class helped solidify those concepts I had previously learned by providing algorithms/data structures that build off of this previous knowledge. This class also allowed me to think differently about problems in terms of using these data structures.
To learn about the different types of data structures, see: http://en.wikipedia.org/wiki/List_of_data_structures. Usually, each data structure is useful for a specific purpose (e.g. binary search trees are good for searching sorted information). Unfortunately, I don't have any book recommendations (our class didn't use a book). Googling "Data Structures" should be a good starting point.
Data structures also got me to think about how efficient an implementation is. The "complexity" of an algorithm determines how long a given piece of code takes to run. This makes it easy to compare other implementations and determine which is better.
I would also like to comment that when it comes to learning computer concepts, the best way to learn is by doing. A book/class can only explain so much, and the rest you have to learn on your own. Each person learns differently, and programming is a way of taking the material you read about and think about it in a way that is best understood by you.
I hope I answered your question. At this point, you don't really need to worry about the underlying hardware. This is useful to know if you plan on doing this as a career (which you aren't), or want to make optimizations specific to the hardware you're running on (in which case, you wouldn't want to use Python). Python is a good choice to learn about data structures as it implements a lot of them for you, but it's important to know what they are used for.
If you are still in school, take a data structures class and see what you think of it. If you like it, I'd advise reconsidering the role of programming/CS in your career. You don't have to major in it, but consider a minor or at least a position that makes use of these skills you are learning. I say this because despite this not being your major, you are interested in understanding how a computer works and taking initiatives such as learning Python, building your own computer, and installing Linux.
If you have any further questions, feel free to ask. Good luck!
Python is a high-level language, so it wouldn't give you much direct benefit to learn how computers operate at the lowest levels.
Don't get me wrong - I do strongly believe that the low-level operation of a computer, e.g. assembly language and hardware, is something that every good programmer should be familiar with, because it does help you program more effectively in whatever language you are using, high-level or low-level. But it won't make much of a difference in your Python coding until you've gotten quite a bit of experience. If you're just starting out with Python, I would suggest staying away from the low-level operation of computers and concentrating on the basics of Python for now. Once you're comfortable with that, you can move on to something like C and then it might be appropriate to start looking at some lower-level stuff.
As for what you should know... not much, I guess. Python is a great language to start out programming in. It keeps simple things simple but it's rich enough to let you work your way up to a high level of complexity. I'd suggest probably looking at a tutorial; the one I happen to know is on the Python website, but I'm not claiming it's necessarily the best one for you. A Google search should give you plenty to get started with.
I started Python (as my first programming language) few months ago. I would recommend Learning Python, by Mark Lutz to begin with. But keep in mind that the key to learn well is to be open-minded, patient and willing to work and look up for things you don't understand.
Have fun!
I would suggest looking at the online book at http://www.diveintopython.org/ to learn python.
As for python projects, I would try learning the Django Framework. It is a framework for building web applications. They have a great tutorial for getting started with it. This would also give you experience building a webserver on a Linux box.
enhance my knowledge of computers
Well, what do you exactly mean by that? Python, or any other high level language, are designed to actually hide all the nasty details. That's one of the reasons, why it's apt for non-pros like (e.g. scientist).
If you want to know how stuff actually work, you should learn pure C. But then again, if you're not planning to have any career related to SC, there's not much point to it. Learn some more advanced algorithms and data structures instead. That'll result you more interesting, useful and is platform- and language-agnostic.
Short answer: all of them
Long answer:
Learning your first language is always a challenge, and after your Java experience, a lot of other languages will seem a lot simpler. That said, the real challenge in learning programming languages is learning when to use a particular language -- you can find decent docs for whatever you choose when the time comes.
As a concrete start, hop over to wikipedia and browse their categorical list of programming languages, click on all of the names you've ever heard (and anything else that catches your eye) and if the article has a code example, give it a minute or two to sink in (the rest of the article will help, of course). The point here is not to master every single language (which is (1) pointless and (2) impossible), but to get a handle on what is out there. For any language, there is a handful of other languages like it, and if you can at least read one language in most of those categories, you will have mastered a fairly large chunk of the programming universe. When a new project comes up, and something about it reminds you of some language you found, you can just learn that language as part of doing the project. It may sound like a lot of work, but after, say, your fifth big language, you completely lose count and just accidentally learn new ones all the time without noticing.
When you stop relating to one language as your home-language, you'll be able to learn from examples in other languages even if you've never programmed in them. Personally, I've only written a few Haskell programs, but being able to read Haskell has exposed me to a lot of ideas that I could recycle in more practical Scala and Python programs (oh yeah, after you learn Python, give Scala a browse and you'll probably never use Java again)
Even finding the best language for the job isn't the whole story. Having a lot of tools in your toolbox lets you throw together amazing stuff in short amounts of time by writing each piece of your project in the easiest language your could. This may not be appropriate for all projects, but, boy, can you make some impressive demos.
It takes many years to get to the point where no programming language is totally foreign (or at least foreign for more than a day of hacking), but I think it is a very healthy and realistic long-term plan to attempt to conquer a representative sample of each rough category. Good luck!
Since Python wasn't my first language, I found the Python Cookbook helpful for learning
What Python was capable of
The idiomatic, of "pythonic," way to do something.
Programming language teaching has always been associated with a cliche statement while learning. "Write programs to learn programming". I too would suggest the same.
If you are going to start from basics. This is of course, the most suggested starting point. It is lengthy, but it is worth all the time. http://www.diveintopython.org/
Because you are into some Java, this might be even better for you. http://www.swaroopch.com/notes/Python. Start either python 2.x or 3.0. Me personally am a fan of python 3. But for a starter it could be hard to get samples, and references to programs online. So for you 2.x might be better. But I leave it upto you.
Like I started "Write programs..". You can start here.
http://www.spoj.pl/ - a programming challenges site, where you can choose from a wide variety of topics, mostly algorithms and has huge question database. Of course the choice of programming languages is upto you.
http://projecteuler.net/ - a mathematical questions site, here you just have to submit an answer, cheating is allowed here, so be free to borrow logic from others, but try writing the program yourself.
After you think you have gained sufficient proficiency in python, you can try recipes in this book python cookbook http://www.amazon.com/Python-Cookbook-Alex-Martelli/dp/0596007973.
For application development, after you think you can handle it, start on wxPython or PyQt. I personally would suggest PyQt. It is responsive, fast, and has decent development cycle, I have not used WxPython for long, but few programs I wrote, long back, didn't feel so great. Yet again, its upto you.

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