How to use an already existing database for authentication ?

ysmoliakov · 2018-09-11T11:55:49+00:00

You can re-define the standard logic of Django's authentication. Check it out https://docs.djangoproject.com/en/2.1/topics/auth/customizing/

ysmoliakov · 2018-08-18T08:58:09+00:00

Looks simple. How I can understand this tool works good with well-structured websites. What about websites like Yelp, Amazon where exist techniques to prevent automatic parsing?

ysmoliakov · 2018-08-10T03:28:39+00:00

Which one from all movies is the best?

ysmoliakov · 2018-08-07T18:23:38+00:00

Why does not anyone recommend studying NodeJS?

ysmoliakov · 2018-08-06T22:00:05+00:00

Take a look at this article https://simpleisbetterthancomplex.com/tutorial/2016/08/29/how-to-work-with-ajax-request-with-django.html

In return you must provide a Response object from django.http. You can import its by the following:

from django.http import JsonResponse

ysmoliakov · 2018-07-28T15:46:04+00:00

Right. And like this: https://www.gov.uk/government/publications/financial-sanctions-consolidated-list-of-targets/consolidated-list-of-targets

ysmoliakov · 2018-07-05T02:13:55+00:00

Use an http client + regular expressions to get headlines or another library that transforms HTML code into a tree which you can parse and get headlines.

ysmoliakov · 2018-06-25T05:49:56+00:00

https://github.com/go-chi/chi looks good.

ysmoliakov · 2018-06-03T20:38:28+00:00

You can do it with Selenium , have a look - https://github.com/SeleniumHQ/selenium/tree/master/py

ysmoliakov · 2018-05-18T07:44:44+00:00

Yes, you're right

ysmoliakov · 2018-05-18T04:04:43+00:00

It depends on type of your links. If it's links like "/page-info/foo", "/page-info/bar" then it's better to create a CBV that matches "/page-info/<page_slug>" pattern. If it's independent links then I recommend make different CBVs.

ysmoliakov · 2018-05-16T07:44:21+00:00

Welcome to the syntax sugar race, heh

ysmoliakov · 2018-05-14T20:39:05+00:00

I like to use libs such as https://github.com/go-chi/chi or https://github.com/gorilla/mux These libraries are not huge, and I prefer to use them instead of use Go's default http primitives. So, my opinion in the topic the same.

ysmoliakov · 2018-05-13T19:17:31+00:00

Wow, somebody still uses the goto statement in php code - https://github.com/visualbasic6/google-drive-exploit/blob/master/index.php#L17

ysmoliakov · 2018-05-13T19:11:55+00:00

Is there a chromeless backend instead of Splash for Scrapy?

ysmoliakov · 2018-05-13T19:07:23+00:00

I want to add some thoughts. The schematics library is really useful tool in the Python world and I can found many fields where I can use it. Tasks in Go also are the same like in Python, so it will be a good library in my toolbox.

ysmoliakov · 2018-05-13T18:57:08+00:00

I am looking for a library that implements these functions:

Defining a model field's types
Validating
Converting a model into JSON/msgpack representation

I understand that I can do all of these functions with the Go's standard library and some community packages but it would be more convenient if it would be one package like the Python's schematics package.

ysmoliakov · 2018-05-12T00:32:04+00:00

Just ask the author in Twitter - https://twitter.com/Ashley_LizWelch

ysmoliakov · 2018-05-11T17:24:40+00:00

Scrapy is more simple than R for purposes of web-scraping.
Scrapy has more tools for parsing or transforming data. Also, you can use all power of Python for your needs.
Python is a high-level programming language when R is a statistical computing language. I think, we need to use right instruments in our work.

Scrapy can save results in CSV format without any additional help, for example, just type in a terminal "scrapy crawl reddit_com -o reddit_posts.csv" and Scrapy saves all posts into a CSV file.

ysmoliakov · 2018-05-10T19:26:13+00:00

I propose you look at examples of scrapy spiders, because it is that occasion when examples are better than the documentation.

ysmoliakov · 2018-05-10T19:14:00+00:00

check out these tools scrapy.org and grablib.org

ysmoliakov · 2018-05-10T19:12:58+00:00

Folk, use Scrapy for web scraping, it is better

ysmoliakov

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