jane | Jane : just another editor
kandi X-RAY | jane Summary
kandi X-RAY | jane Summary
Jane is a text editor especially made to be accessible to screen readers. It is made in python 3 and is using wxPython for its GUI interface. Just another editor, why ? because it is just another trial after my two previous more or less failed attempts: 6pad in 2012-2013 and 6pad++ in 2015-2016. They worked, well, but C and then C++ were still difficult to master, and I used the Win32 API for GUI, what was also source of strange bugs that have never been solved. For this third attempt, I decided to start again from the beginning, doing everything in Python and by using the WXPython library for GUI. I hope with this choice that this new editor will be more maintainable, have less unexplained bugs, and that python will encourage more people to contribute than C or C++. Additionally WXPython is portable, which is also good because more and more sceen reader users switch to Mac or Linux.
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Top functions reviewed by kandi - BETA
- Called when a character hook is pressed
- Go to the last indent
- Return the first item in the iterable
- Go to inner indent
- Jump to the cursor position
- Sets the insertion point on the line
- Sets the selection
- Called when clipboard is clicked
- Returns list of file names
- Open stdin
- Replace the text in the given editor
- Find previous value
- Start the editor
- Find the next occurrence in the text
- Autoformat text
- Create a type factory
- Load translations
- Find the search dialog
- Undo the selection
- Saves the editor to file
- Handle a character
- Update import classes
- Validates the regex
- Opens the editor
- Called when the cursor is cut
- Creates a new document
jane Key Features
jane Examples and Code Snippets
Community Discussions
Trending Discussions on jane
QUESTION
I am a Pandas newbie and I am trying to automate the processing of ticket data we get from our IT ticketing system. After experimenting I was able to get 80 percent of the way to the result I am looking for.
Currently I pull in the ticket data from a CSV into a "df" dataframe. I then want to summarize the data for the higher ups to review and get high level info like totals and average "age" of tickets (number of days between ticket creation date and current date).
Here's an example of the ticket data for "df" dataframe:
I then create "df2" dataframe to summarize df using:
...ANSWER
Answered 2022-Feb-17 at 19:57Couldn't think of a cleaner way to get the structure you want and had to manually loop through the different groupby levels adding one row at a time
QUESTION
I have user list and map like below
...ANSWER
Answered 2022-Feb-15 at 09:07Travers through the list of users, simultaneously check for the respective user, when you will find one change its id and break from the loop.
try this :
QUESTION
I am trying to define a type where the favoriteFruit property's value must be an item in options array. Where the options array is dynamic/unknown (making it impossible to use union types "|").
...ANSWER
Answered 2022-Feb-05 at 15:23I found this : How to convert array of strings to typescript types? .
QUESTION
I have the dataframe that has employees, and their level.
...ANSWER
Answered 2022-Jan-30 at 18:57Try this:
QUESTION
I have an array of arrays that also contains hash value , and that array has duplicate arrays that I want to remove. There is an example below :
...ANSWER
Answered 2022-Jan-06 at 11:09Use uniq
method! (ruby >= 1.9.2)
QUESTION
I'm using Laravel v8
I have 3 models as:Family, FamilyMember, FamilyRelationship
id address created_at updated_at 1 test NULL NULLFamily table:
id name created_at updated_at 1 Head NULL NULL 2 Spouse NULL NULL 3 Child NULL NULLFamily Relationship table:
id first_name last_name family_id family_relationship_id 1 John Doe 1 1 2 Jane Doe 1 2 3 Max Doe 1 3 4 Mary Doe 1 3Family Member table:
I have created relation in the Family model as
...ANSWER
Answered 2021-Nov-08 at 10:07you can try whereHas mixing with hasOne , to build a new relation:
QUESTION
I have the following dataframes (df11 and df22) I'd like to do a merge/full join on with "UserID=UserID" and date difference <= 30 . So if the UserIDs match up AND the date's are less than or equal to 30, I'd like them merged into one singular row. I've looked at fuzzy join here and sqldf here but I can't figure out how to implement either of those for my data frames.
...ANSWER
Answered 2021-Nov-05 at 17:59One way is to first create "+/- 30 day" columns in one of them, then do a standard date-range join. Using sqldf
:
Prep:
QUESTION
We have a problem when serializing using System.Text.Json.JsonSerializer.
In this example, we have three classes: Store
, Employee
, and Manager
. It is noted that Manager inherits from Employee.
ANSWER
Answered 2021-Oct-23 at 03:11The documentation on writing custom converters has a very similar example (discriminating between two subclasses of a property's declared type) and could be adapted as follows:
QUESTION
I have an application log I am pulling into a pandas dataframe, parsing various pieces of each event into separate columns, that is similar to this:
...ANSWER
Answered 2021-Oct-06 at 04:24Try:
QUESTION
If I run my regex on the data as a string I have no issues my three lines get matched.
...ANSWER
Answered 2021-Sep-21 at 12:58Look at the accepted answer of this question: RegExp is Stateful
Essentialy, your regex
is an object that preserves the index in a line where it found the last match, and the next time it continues from there instead of looking for a match from the start of the line again.
So one solution is to manually reset regex.lastIndex
with your every call to es.MapSync
like this:
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