quip | Compressing next-generation sequencing data | Compression library

Help me to attain the output using Python and Pandas
Input:

This morning I found that a column in my SQL Server 2016 database has been corrupted somehow.

I have about 900 rows with a variation of this odd looking string:

I have started exploring Quip API.

I have created a spreadsheet in Quip with the below details:

1. Added title of the spreadsheet
2. Added below data in the spreadsheet:

And here is how I am trying to read from Quip:

The code below works, copy and paste it in to run. I need some guidance though on what I need to do next. My main query here is:

I'm generating the number of TextFields with the list of questions I define. when I hit the + button, that then prints my answers to the console. What I want to be able to do is link my loggedinuser (not defined in this code, but lets just say "me" on line 23) with the unique question identifier, and the answer to the unique question identifier. I don't need to check if the answer is correct at this moment. What do I need to do create that structure?

{user, uniqueQuestionIdentifier, answer}

I have here a search bar from w3schools website which I have tweaked.

Right now, it will show all results at the first letter entered which is slowing down my site since there's more than 5000+ results in one go.

I wonder how can I make this search ONLY after 3 (or 4-5) characters/letters have been inputted?

Here's the DEMO

Here's the script so far:

My task is to write into a Quip Spreadsheet some chunks of data and regularly update it using Quip API. I got the data stored in pandas DataFrame (and can easily convert to any other structure), but the whole issue is around using their API. I got through painful authorisation process so now it generally works, but I can't find any proper method to update lines of the spreadsheet.

I've found a method

I have worked with Spacy and so far, found very intuitative and robust in NLP. I am trying to make out of text sentences search which is both ways word base as well as content type base search but so far, I would not find any solution with spacy.

I have the text like:

In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals. Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.[1] Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving".[2]

As machines become increasingly capable, tasks considered to require "intelligence" are often removed from the definition of AI, a phenomenon known as the AI effect.[3] A quip in Tesler's Theorem says "AI is whatever hasn't been done yet."[4] For instance, optical character recognition is frequently excluded from things considered to be AI,[5] having become a routine technology.[6] Modern machine capabilities generally classified as AI include successfully understanding human speech,[7] competing at the highest level in strategic game systems (such as chess and Go),[8] autonomously operating cars, intelligent routing in content delivery networks, and military simulations[9].

Artificial intelligence was founded as an academic discipline in 1955, and in the years since has experienced several waves of optimism,[10][11] followed by disappointment and the loss of funding (known as an "AI winter"),[12][13] followed by new approaches, success and renewed funding.[11][14] For most of its history, AI research has been divided into sub-fields that often fail to communicate with each other.[15] These sub-fields are based on technical considerations, such as particular goals (e.g. "robotics" or "machine learning"),[16] the use of particular tools ("logic" or artificial neural networks), or deep philosophical differences.[17][18][19] Sub-fields have also been based on social factors (particular institutions or the work of particular researchers).[15]

Now, I want to extract the sentences complete in multiple with multiple words or string matching. E.g., i want to search intelligent and machine learning. and it prints all complete sentences which contain this single or both given strings.

Is there any way that importing model of spacy with spacy can sense the phrase match .. like it finds all the intelligent and machine learning containing words and print that ? and also with other option, can it also finds as with search machine learning, also suggests deep learning, artificial intelligence, pattern recognition etc?

Please forgive me in advance if I'm doing this wrong, I'm an absolute beginner to both programming and stack overflow. I'm using Python 3.8.3 to create a text RPG, and I'm happy with how it's turning out so far. However, I've reached the point where I need to add a save/load game feature. The game works just fine, but as expected, it wipes all progress every time you run the program.

Here is my start menu where the Load option needs to go:

I guess the most basic question I have is why does using a number at the beginning of a Liquid if statement seem not to work.

This works: