freelance | A client and project management suite | Business library

Add this css on your code

Since you have a special class for a login you have to add it your ViewModel

To keep dict keys in order, you'll have to use the standard OrderedDict class.

In the snippet below, I assume you have two JSON files users.json and groups.json.

The way you connect to your database using mysql_connection.cursor(dictionary=True) returns rows as dicts. The property of a dict is that it can have unique keys, in your case all the columns have the same name in the table name. So there can only be one key of that name.

To overcome this you need to alias your column names like so

SELECT tasks.id, tasks.name as tname, tasks.introduction, platforms.name as pname, type_tasks.name as ttname, categories.name as cname ....

Place each side of the UI (left and right) inside a div element, set a border to the left on the second element or alternatively set a border to the right on the first element. Then put such divs inside a container with position: relative and finally, create a third div inside the container you just created with position: absolute. Set the top and left CSS properties for this element, and put some border on it to create the enclosing circle shape.

Because you're using two separate tables. You can put the second table into the first table and set .list to display: contents for desktop view.

You can use the Viterbi algorithm to find the most likely (best) way to split the string. There's a library called wordsegment that does this in Python, and you can read more about the technique at Peter Norvig's page.

There's also a recent research project called Hashtag Master which uses neural methods to tokenize hashtags.

This isn't a common problem in English, but it's standard in languages were spaces don't split words, like Japanese. There are a variety of methods, and research continues, but Viterbi based methods generally have the best balance of speed and accuracy.

As @CharlesDuffy says, you can use ast.literal_eval().

You can read the content directly from your file:

simply create a query object and fill required attributes based on your requirement