inox | Email with notmuch rust | Command Line Interface library
kandi X-RAY | inox Summary
kandi X-RAY | inox Summary
Email with Notmuch Rust. An experimental email client based on notmuch, along with other utilities like afew and offlineimap/isync. The UI is ported from Geary, and a lot of inspiration comes from Astroid and alot. I like how alot is all command driven. I also like how VSCode/Atom/Textmate work. So that's probably how I want this thing to work, too.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of inox
inox Key Features
inox Examples and Code Snippets
Community Discussions
Trending Discussions on inox
QUESTION
In a table there are products in different categories from different suppliers. How can I list the products from a category where each supplier occurs at least once?
For example:
...ANSWER
Answered 2022-Apr-01 at 06:14You could do something like this, but it doesn't take into account what you want to do if there are more than 16 vendors:
QUESTION
Hello Everyone,
Since one week I'm trying to integrate Dialogflow with Twilio for WhatsApp messaging.
The integration has been configured successfully, but I'm facing strange error when retrieving our products through HTTP request using Axios.
Test code is here:
...ANSWER
Answered 2021-Aug-10 at 04:50Twilio developer evangelist here
Sorry, I don't normally work with Dialogflow, but I do know how to debug Twilio, so I need to ask how you have connected the two.
The clear difference here is what the agent object does when it is given just one piece of text with agent.add compared to multiple calls to agent.add. When you call it more than one time it seems to generate an array of fulfillmentMessages rather than a string of fulfillmentText which works with Twilio.
It looks like you are using the existing DialogFlow integration, which, according to this code, will only send back the response text in the fulfillmentText part of your agent response.
So, you should either work out how to update the DialogFlow integration so that it can handle multiple fulfillmentMessages or in your loop, build up your response so that it can be sent as one fulfillmentText, with something like:
QUESTION
I'm having trouble trying to get a list of values from a specific key inside an json array using python. Using the JSON example below, I am trying to create a list which consists only the values of the price key. Original JSON:
ANSWER
Answered 2021-Mar-06 at 05:37This is similar to the answer above, but it gets the information from the json file itself, rather than pasting the file as a variable.
QUESTION
He.llo, folks
I'm studying SQL and as a practical exercise i'm trying to import a .csv file from my country's governemnt database.
Basically it's a file that contains 4 rows: Date, coin name, value, qnty and these rows aren't formatted as I need it to be.
Date is ok, it is YYYY-MM-DD
Coin name is ok too, because its a string
And value (coin value, like 0.1 or 10) is ok too because of its formatted with dots only
The problem comes with qnty. Quantity is how much coins/notes are available for citizens, but it is formatted with dots and commas (this is the real problem I can't figure out)
Take this example:
1995-01-02;Moedas - 1a. Família (inox);0.01;834.342.314,00
1995-01-02;Moedas - 1a. Família (inox);0.05;636.711.876,00
1995-01-02;Moedas - 1a. Família (inox);0.10;583.076.666,00
1995-01-02;Moedas - 1a. Família (inox);0.25;146.883.388,00
1995-01-02;Moedas - 1a. Família (inox);0.50;329.791.540,00
Is there someway to convert qnty (e.g: 329.791.540,00) into float?
Thank you!
----- edit 01:17 GMT
I applied REPLACE as Marco said to the whole table
ANSWER
Answered 2020-Nov-06 at 00:41Use the REPLACE() string function, twice; once to replace the dots with nothing, once to replace the decimal comma with a dot, and cast that expression to float - like in this small demo example using your first literal in that format:
QUESTION
I'm getting a FileNotFound error in JupyterLab on macOS when I issue a command to read a CSV file.
This was working until yesterday, when I upgraded to Python 3.9. Now it appears that my path has changed, and Jupyter Notebook and JupyterLab can no longer find files (CSVs, in this instance) stored in the same directory as the notebooks are stored.
I've read that I need to list the path, when I run read_csv, but I've done that and essentially get the same error (though with less Traceback).
This screenshot shows my command and the output (I'm in JupyterLab 2.2.6 on macOS Catalina):
I tried listing the path this way:
...ANSWER
Answered 2020-Oct-19 at 02:32you can try the following code:
QUESTION
I want to extract data from 500+ files which look like that:
...ANSWER
Answered 2020-Aug-27 at 16:40The problem by using re.findall() is that you need non-capturing groups for groups that should not be in the result. So the regex /Date Installed\s*:\s*(.*?(?:T.*Z)?)$/ or /Date Installed\s*:\s*(.*?)(?:T.*Z)?$/ should do the trick, see:
QUESTION
I would like to apply a Savitzky-Golay filter (prospectr package) to a dataset. However, all the examples available run the filter for only one sample (curve with a determined number of wavelengths). Is there anyway I can filter the data of more samples (70 samples) at once?
...ANSWER
Answered 2020-Aug-10 at 22:50Usually spectral data matrices are organized with observations (samples) in rows and (spectral) variables in columns. The savitzkyGolay function does work for multiple observations. A proper way to call the function for your data is:
QUESTION
Hello I have another problem with split string
First it was when spliting by second upper letter like this (thanks for Omire):
...ANSWER
Answered 2020-Jan-23 at 13:50With such a diverse (a.k.a. "messy") input, better not rely on the other side having used capitals and lowercase in a consistent way. Here is an implementation of looking up every word in an approved list (a "whitelist") of car brands while ignoring any case differences.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install inox
Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
