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One of my web apps receives a lot of article submissions, some of them written not very well. How possible is it to create a tool to recognize "good" vs. "bad" writing just by providing it with a corpora of good and bad articles?
Note that these articles (at least the ones already processed) have been reviewed and graded, so in theory I could use these numbers to confirm output.
I don't have a background in creating "learning" algorithms, so even just a pointer to a foundational book on the subject would be helpful, particularly one written for the Python language.
I think that this would be a difficult learning algorithm to undertake. However, if you did want to have a go or are just interested to learn about the subject Coursera offer a number of free online courses that are worth checking out.
This course is not currently running for assignments etc, but you can watch the lectures in preview mode, from what I have seen this is well suited to beginners:
https://class.coursera.org/machlearning-001/lecture/preview
If you want some practice then I would highly recommend taking a look at Kaggle (http://www.kaggle.com/) which runs open competitions for data science / machine learning problems. Some of the competitions even have sample code to get you started, the titanic competition has some sample code in Python, although the problem being worked on is considerably simpler than the problem you have proposed.
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I am a sort of experienced python programmer. I will quickly describe my situation. For a hobby programming was always nice. I then started working at a company that did lots of manual excel processing. One day I mentioned that I could probably automate this with python.
Things led to another and now there is python doing the excel work multiple times a day running from an Intel NUC i deployed as a small server. It has been some work figuring everything out but the money has been good as well, no complaints.
They are quite happy with me and have lots of different plans.
They want me to design a website where the employees can fill out a form daily and the data can be used elsewhere. However, I've done some html and css programming in highschool, but I know there needs to be a back-end to at least save the data that gets filled.
I dont know where to start. I know SQL is the #1 language in data processing and PHP in handling the back-end. But I already know python which also can do back-end operations.
I have two direct questions but also looking for advice on the whole situation. Feel free to just point anything out; I will read every comment.
My questions:
Could I run the webserver from my Intel NUC? Or is this generally seen as bad practice? Also, is it true that I would only need the domain if I run the webserver myself?
Is it worth it to learn SQL and PHP or should I stick to python?
I have tried looking online but found countless of resources. I would like to create a large database with lots of data I can use anytime. I think SQL is good for this but not looking to waste time.
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I've been studying python for data science for about 5 months now. But I get really stucked when it comes to matplotlib. There's always so many options to do anything, and I can't see a well defined path to do anything. Does anyone have this problem too and knows how to deal with it?
I had the same problem sometime back. I just picked the Boston Housing Prices dataset and kept practicing on that. If you work on it enough you will be able to create all types of plots for the EDA and get good practice. Of course after a certain point it can get boring , thats when you jump to a dataset in an area of your interests, in my case it was movie reviews.
Below is the link to the housing prices data.
https://www.kaggle.com/c/house-prices-advanced-regression-techniques
I think your question is stating that you are bored and do not have any projects to make. If that is correct, there are many datasets available on sites like Kaggle that have open-source datasets for practice programmers.
in programming in general " There's always so many options to do anything".
i recommend to you that read library and understand their functions and classes in a glance, then go and solve some problems from websites or give a real project if you can. if your code works do not worry and go ahead.
after these try and error you have a lot of real idea about various problems and you recognize difference between these options and pros and cons of them. like me three years ago.
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I am a high school student, and I have just finished 4 free youtube courses on python, along with a "beginners guide to python" book, and I am a little lost. I understood the language quite well and enjoyed learning it. My question is: what do I have to learn in order for me to start designing and building things with python. Just to be clear, I am not talking about complicated things such as websites or machine learning applications. I am talking about simple games and apps so that I can form a better understanding of software development through practical experience. I honestly thought this is where the course and book would get me by now. I feel like my understanding of python is great (for a beginner). I understand all of the fundamental terms and definitions of the language, and I can answer questions other students may have about directories, methods, strings and so on without trouble. I just have no idea where to begin designing and building real things that can test my knowledge as a programmer.
I understand that I have a lot to learn. I just have no discernible vision as to how I can become better without practicing what I learn.
I am grateful for any advice you can provide on how I can resolve this issue, as well as any book recommendations or helpful links for learning resources.
Thank you for your time.
There are lots of fun ways! Try some of Swagart's books (Automate the Boring Stuff with Python, etc). By all means try making a basic web application with Flask. Try making a game with Pygame (Al Swagart's pygame book is good for that). Try interfacing a database directly with sqlite3. The possibilities are endless. Don't stick to just raw python, the best way to get experience is to use external modules and apply your knowledge to them. If you need to write Python for a job they will want you to be using something or other to do something or other and the only way to be able to say "Oh yes I can learn this module you're using for webdev/game/anything" is to have experience learning new modules and use cases.
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So I'v been learning how to program for about a month now. I just finished reading 'Invent your own games with python'. Before the book I had never seen a line of code. After reading the book I'm able to read code and understand what's going on. But that's about it. I got the syntax down and can use all the flow statements. I'm still not able to create my own projects and when I try to do a challenge online, I just sit there and stare at it not knowing where to start. Is this normal? Is this one of those things where one day I'm gonna wake up and It's gonna click in head. Any suggestions as too what I can do accelerate my learning?
I think you've reached the bliss point between knowing how to write Python and how to actually program.
Python is the tool, programming is the practice.
I was in your shoes a few months ago (I had finished Data Structures and Algorithms in Python, also a good book). I decided to look online for areas to practice and understand programming problems as well as improve my math skills (math shortcuts come in handy). Nothing really clicks until you've gotten a few projects accomplished.
Designing a game IS HARD and it may not be the best place to start but if that's where you want thing to click I'd highly recommend breaking games down as a programmer might: take a feature of a game, say SimCity's Sim.
What features in OOP terms does this feature have as attributes?
What does the object do?
What external classes/objects affect this object?
What does this object externally impact?
Since you're learning Python, learning how to use the OOP paradigm is crucial and designing projects around it allow you to use Python with greater strength.
It's absolutely normal to look at a problem and have no idea where to start.
That's a lack of experience. Get some.
This is where I start if I want to get a feeler for a new language: https://projecteuler.net/
There's plenty of resources online to test your skills and there's probably an offline community near you.
Yes, this is perfectly normal for any beginner.
What you need to do is just continue doing what you are doing.
The beginning will be difficult learning curve so aim for more beginner/basic level questions (i.e.: beginner level online challenges).
Develop plenty of your own programs for fun and whenever you get stuck ask online.
When other people answer your questions online look for the most elegant solutions (i.e.: quickest execution time, neat coding style, etc...) and try remember their solutions.
The fastest way (in my opinion) to learn code is to build your own programs for fun. Just never give up no matter how hard and frustrated it gets.
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First, to give you a slight bit of background on me:
Perl is technically the first language I was introduced to, but I quickly migrated to Python when I found how clean and easy it is to write. I've now been working in Python for about 8 months, and I feel that I'm reaching an 'intermediate' stage. I have the language syntax, data-structures, and memory usage principles pretty much down, and now I'm starting to get into things such as algorithmic design and some of the slightly deeper topics like function closures.
I'm teaching myself C++ on the side, and I'll be honest, it feels tedious and extremely obtuse to me. It might be how new I am too it still, but I have to force myself to practice C++ whereas I can barely get enough coding in Python. I've heard people say it's good to learn to give you a baseline knowledge about computers and memory management, so my question is if I should "catch-up" in C++ to where I'm at in Python before continuing? I think the convenience of Python is making it hard to learn C++ as a second language.
I feel you should try to fully master one language before advancing to another. If you juggle too many at the same time you will just mix up their syntax and spend a lot of time becoming a jack of all trade and a master of non.