sunshine | Flask app for requesting data

I am trying to insert data into a Oracle database. I have to use a proxy to have insert permissions. Below is the code that I run, but I'm getting the error 'TypeError: 'NoneType' object is not iterable' at the line ''',conn).

I'm not sure where to go from here. Does anyone know what I'm doing wrong? Full error message is below the query code.

I need to remove the right icons that are the up and down arrows from a Material UI TextField that I modified from the Material UI documentations (https://material-ui.com/components/autocomplete/#autocomplete) Highlights section.

I tried some solutions from stack overflow like (Remove the arrow and cross that appears for TextField type=“time” material-ui React) and (Remove the arrow and cross that appears for TextField type=“time” material-ui React) but they didn't work and, I ended up with the following code:

App.js:

Hello I wanted to apply a mod function of column % 24 to the hour of time column.

I believe the time column is in a string format,

I was wondering how I should go about performing the operation.

I need to modify the Autocomplete Highlight provided as an example to fit my needs. (https://material-ui.com/components/autocomplete/#autocomplete)

The Highlight example provided has borders so I used the solution from this link (how to remove border in textfield fieldset in material ui) to modify my TextField and remove it's border and it works except that when I type in the search input I don't get the autocomplete suggestions.

I also replaced the Icon, and ended up with the following code:

I want to do a Python implementation (actually MicroPython) of a specific checksum calculation based on CRC16-CCITT. It will be used on a microcontroller to check data integrity over a serial connection.

The algorithm is available as C implementation.

The checksum is a 16 bit, type CCITT. The checksum starts at the first byte of the message. Sample code to calculate the CRC16 CCITT in the C language:

I'm trying to use R to extract the data table - and a couple of other bits of information - from the historical Met Office data, but despite having spent all evening on StackOverflow keep running into problems.

For example, here's the data for sunny (maybe??) Lowestoft:

I have a column named "Trip", in which I have infos such as the hotel, country, and type of trip. The thing is these infos are hand typed, so sometimes instead of typing "HOTEL ABC", the person entering the infos simply enters "ABC", or event "HTL ABC". Also, ABC can also refer to a country.

What I want is to extract all hotel names on each cell. Here's the function I created, but I can't get it to work. (Y2 is the TRIP Column)

How can I prefix the img src with a value from my db.

Example From my DB table "tbl1", for each row how can I prefix img src with value of $row['image']

If $row['image'] = sunshine

then the output of

I wrote python code for imbalanced multi-class classification of Rainfall Dataset using LSTM input variables are a numeric form of temperature, sunshine and humidity the target has four classes no-rain,light-rain, moderate and heavy-rain but the model classifies only one class at the confusion matrix as shown in the following code.

I have Also try SMOTE and class weight techniques to balance the class but the result is not changed.

Can anyone help me full LSTM code for imbalanced multiclass classification?

Confusion Matrix

Dataset screenshot