angel | An Ancient Greek Morphology Tagger | Natural Language Processing library

When i rewriting my old code, i had a problem i don't know to to optimize this code in past i use switch,but now i know about Object literals, my code:

Problem

I have a large JSON file (~700.000 lines, 1.2GB filesize) containing twitter data that I need to preprocess for data and network analysis. During the data collection an error happend: Instead of using " as a seperator ' was used. As this does not conform with the JSON standard, the file can not be processed by R or Python.

Information about the dataset: Every about 500 lines start with meta info + meta information for the users, etc. then there are the tweets in json (order of fields not stable) starting with a space, one tweet per line.

This is what I tried so far:

1. A simple data.replace('\'', '\"') is not possible, as the "text" fields contain tweets which may contain ' or " themselves.
2. Using regex, I was able to catch some of the instances, but it does not catch everything: re.compile(r'"[^"]*"(*SKIP)(*FAIL)|\'')
3. Using literal.eval(data) from the ast package also throws an error.

As the order of the fields and the legth for each field is not stable I am stuck on how to reformat that file in order to conform to JSON.

Normal sample line of the data (for this options one and two would work, but note that the tweets are also in non-english languages, which use " or ' in their tweets):

SQL code snippet #1:

I'm trying to get the api result from the URL and then store it into a CSV file. I'm not very familiar with API and storing data, since I'm practicing.

I have the URL and the response to get the data from.

I like to create a list of zip codes for each county, and assign this to a dictionary that has keys as name of counties. For example if I have zip codes and county columns from a csv file such as

I like to have a dictionary such as

Orange : [92606, 92607]

Los Angeles : [90026, 90027, 90028]

Thanks for all the help!

Out of nowhere, my working react native app gave me this error when I opened it today. I tried npm install , yarn and cleaning the cache but nothing helped. As I said, it came out out of nowhere as everything used to work fine before that. What could be the reason for this and how can I solve it?

I am new to TypeScript. I have the following interface defined:

In the code below I am saving two csv files at desktop directory.

I want to store this files at root directory of my flask app, without manually writing the file location.

How can I achieve this?

And if I want to access this files at any different endpoint, how can I access them, which path should i write here df = pd.read_csv(path + angel.csv')

I have a data.frame with a column containing California counties in each cell separated by a space. I would like to add a comma and space after each one, however I can't just gsub every space into a comma and space, (i.e. gsub("\s",",\s",text)), as some counties in California have two names, (e.g. Los Angeles, San Francisco, etc.)

Fortunately, the two-word counties all have common first words so I'd like to write a gsub that preserves the space in those counties without adding a comma. I've attached example data as well as what I'd like the final form to look like. For instance, with this data, I'd like to add a comma and space except after "El", "San" and "Del".

Example data: