vortext | Web service which parses all the links users
kandi X-RAY | vortext Summary
kandi X-RAY | vortext Summary
Web service which parses all the links users have ever posted to Twitter, organizes them in a timeline, expands shortened URLs, and makes the results searchable by hashtag, @-mention, author (for retweets), keyword, or site. Circa 1000 lines of Python 2.7 and 100 of Javascript (with jQuery and Underline.js) running atop Google App Engine. Makes heavy use of App Engine's NDB and task services. Up and running at www.vortext.co. Here's an example of the parsed results. Because Twitter's API limits access to a users' most recent 3200 tweets, it also accepts file uploads of your Twitter Archive and parses its contents as well. (Which is actually mildly tricky, it turns out, because old tweets haven't been updated to match Twitter's new API format.). Makes use of gaesessions, tweepy, and ttp (for old tweets.). This is by no means production-quality code -- you'll notice, in particular, a dearth of tests -- but it seems to work reasonably well and be reasonably useful. Hopefully useful as an example use of Twitter's API and handling old-style tweets next to modern ones, as well. Currently suffers from App Engine's limit of 1MB for any particular (non-blob) datastore entity; it'd be pretty easy to move to SQL (either for entities above that size or all entities) but I haven't bothered yet. Also, it's got about three-quarters of a customized web site for mobile users utilizing jQuery Mobile, but that's not (yet) ready for prime time. MIT license. Pull requests welcome.
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vortext Key Features
vortext Examples and Code Snippets
Community Discussions
Trending Discussions on vortext
QUESTION
I have a simple db table that stores actions taken by the user.
...ANSWER
Answered 2020-Jul-29 at 14:04it turns out that the real issue is that I am trying to run a separate connection/transaction for the audit records than the main transaction that edited the user. Because the first transaction audits the UserDetails
table while the second transaction is trying to update AuditRecords
where the FK matches the row being edited in UserDetails
, the second transaction times out waiting for the first transaction to complete. Removing the FK solves the issue.
QUESTION
I have two activities. FirstActivity contains an onClick button which takes to SecondActivity. SecondActivity contains multiple EditText and a Save Button. After clicking save button I want to show all the data in the FirstActivity in ListView. I did it using TextView in FirstActivity but I am not able to use to ListAdapter.
...ANSWER
Answered 2020-Feb-07 at 10:30I found so many issues in your code. for ex- you didn't set adapter to your list, you were using two different list. So I modified your code. Please use this code. You need to take list as Global Variable, and you need to set adapter to your list view. And when you are taking your results back from second activity then add those elements in your list and call ArrayAdapter.notifyDataSetChanged();
to get new data in your listview.
QUESTION
I am trying to write a Python script to scrape data from this webpage. I am trying to scrape the data from the second table ('class': 'char-pico-table')
and am using this script to do so:
ANSWER
Answered 2017-Oct-14 at 19:38Based on the comment from @Shahin, I wrote the following code, which gave me the data in a JSON format from which I was easily able to extract the data.
QUESTION
Pretty new to this stuff, so any help is greatly appreciated. To start off with, here is my JSON file's contents:
...ANSWER
Answered 2017-Mar-29 at 16:20Have a look at highchart's stacked bar chart example. For each series, data
contains the array of values for that series.
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Install vortext
You can use vortext like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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