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Web2py looks like a very nice Python framework but I am wondering if it is suitable to use for a large public web site. What sorts of issues might I run into? I'm not worried about technical scalability so much as UI/UX limitations, ability to connect other components, etc.
web2py is a very capable web server application framework. UI/UX (User interface / Experience) limitations does not arises usually from a server framework.
There are quite a number of free application that demonstrates it's capabilities:
http://www.web2py.com/appliances
If you want to compare it with other server frameworks, there are quite a few documents out there that you can read on.
Django, Turbo Gears, Web2Py, which is better for what?
The following discussion should add to information here
Anyone out there using web2py?
You have to be more specific to make a judgement or evaluate a server framework than what you have mentioned.
[Edit: based on comments]
While the examples in the link provided by mdipierro may not inspire confidence with regard to desired UI/UX solutions. It would be premature to consider that because of web2py or any other server framework. It might point to the fact that all these are implemented by a resource constrained team.
You might take a look at this list of sites powered by web2py.
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I'm diving into Django to create a webapp.
The thing is, I'm not sure if my app is too simple for what Django offers.
My app will download the latest CPI figures and convert your (monetary) dataset into inflation-adjusted figures, going way back in decades. The user pastes their data in via a textbox. It certainly won't need SQL.
I may want to expand the project with more features in future.
Is it advisable to go with a more lightweight framework for something as simple as I've described?
Every framework has its pros and cons. There are many different frameworks. Personally I prefer Flask but it is all personal preference. Here are some articles that help describe the differences:
https://www.airpair.com/python/posts/django-flask-pyramid
https://www.reddit.com/r/Python/comments/1yr8v5/django_vs_flask/
https://www.hakkalabs.co/articles/django-and-flask
A webapp like the one you describe sounds like most of the work can happen on the client side, without sending the data back to server. From what it sounds like, you simply need to make a few calculations and present the data in a new way.
For this I don't recommend Django, which is ideal for serving pages and managing relational DB content, but not really useful for client side work.
I'd recommend AngularJS
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I have a small flask app I want to deploy on my server and I'd like to be able to monitor it via an HTTP web interface. I don't need something complicated and I definitely don't want something that's difficult to set up. Previously I've used the Google App engine and the functionality in the Logs tab is completely fine.
The app is served through nginx & gunicorn and uses redis (w/ py-redis) and sqlite (w/ peewee). Ideally I'd like to be able to check the logs for all parts of the system from one place. Is this possible? What's the easiest way?
There is no definitive answer to the predicament and it would be whatever way you are most comfortable with.
You could change all your logging to write to a central database then create a small program which would scrape this data for you. This method also includes configuring a central syslog server:
http://www.linuxjournal.com/content/creating-centralized-syslog-server
What ever way you want to read these files is fine and all depends how much control you want. You could simply name all the logs based on hostname and rsync them to a central server from where you could parse them.
There are also free tools out there which will aid you in choosing you method take a look at:
http://www.linuxjournal.com/content/creating-centralized-syslog-server
There are also some proprietary systems you could use, such as Splunk:
http://www.splunk.com/
This is by no means a definitive list but should aim you in the right direction.
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I need to create a website using python but without Django or any other framework, since the website I need to create ts very custom (at the back-end level specially) like having a dashboard after login and stuff like that.
I want to know what are the best practices and/or tutorials that can help me in such a situation.
I began to work with Django 3 months ago in a company. In my opinion this framework is very useful because you avoid to write a lot of HTML code and came with a lot of tools to automate the creation of many parts of the web and the database. Django allows you to use different databases.
I recommend you to visit Django Website and see the overview and the installation. The difficulties for the beginners are to understand the use of views,templates,urls... but in the web site you have a 6 steps tutorial that make a very good introduction, anyways you must get some more information like this Django Book but is almost the same than the tutorial but more extense.
I didn't work with Python until I began to use Django, and I have to say that now I love the dynamism of Python, is fast and easy to understand.
I hope this can help you a little
Using a framework like Django will start you right into developing your application. They you intend to work will cost you years of work to create your own web application infrastructure without getting anything useful.
The strength of Python is the availability of countless modules, packages and frameworks to build upon. Without there you will be getting nowhere.
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What are the best practices in Django to detect and prevent DoS attacks... Are there any ready to use apps or middleware available which prevents website access and scan through bots?
You might want to read the following 3 questions over on Security Stack Exchange.
A quick description of the problem:
How does DoS/DDoS attack work?
Possible solutions and limitations of attempting mitigation in software:
How can a software application defend against DoS/DDoS?
And a bit of discussion around commonly used anti-DDoS techniques at the perimeter, rather than the application:
What techniques do advanced firewalls use to protect against DoS/DDoS?
It is really difficult to do at the application level - the earlier in the path you can drop the attack, the better.
I'd probably aim to deal with DoS at a higher level in the stack. If you're using Apache, take a look at mod_security. Or maybe a nice set of firewall rules.
Edit: Depending on your situation, you also might want to take a look at a caching server like Varnish. It's a lot harder to DoS you, if the vast majority of hits are served by the lightning quick Varnish before they even reach your regular web server.
The solution is simple, limit API with throttling and auth
The default throttling policy may be set globally, using the DEFAULT_THROTTLE_CLASSES and DEFAULT_THROTTLE_RATES settings.
The quote is from
https://www.django-rest-framework.org/api-guide/throttling/#setting-the-throttling-policy
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What HTTP framework should I use for a simple application with implied scalability, priferable Pythonic? I would like to be able to smoothly add new features to my app when it has already been deployed.
I'm a big fan of Pylons. It behaves just like a framework should; not excessive on the magic and contains many good components that you can pick-and-choose that help you hit the ground running. It's small and easy to deploy, and requires minimal boilerplate or other syntactic cruft. Scalability seems pretty good -- I've not run into any issues, and major parts of Reddit utilize libraries from Pylons.
Web.py
It might look too simple, but it's a joy to use.
It can be deployed on google appengine. Should scale pretty well. Can be used with any WSGI server.
This is probably one of the most scalable solutions: G-WAN + Python:
http://forum.gwan.com/index.php?p=/discussion/comment/4126/#Comment_4126
Their scalability tests (like the results) are peerless.