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Python Programming Assignment: Expense Tracker Application

Objective

Develop a console-based Expense Tracker application in Python that allows users to monitor and manage their daily expenses. This project will help you practice fundamental Python concepts such as data structures, file handling, user input, and functions.

Requirements

1. Add Expense

• Functionality: Allow users to input new expenses with the following details:
• Amount: A positive number representing the cost.

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function applyChanges() {
  this.isSaving = true;
  for (const key of Object.keys(this.buffer)) {
    this[key] = this.buffer[key];
  }
  this.buffer = {};
  delete this.isSaving;
}

function rollback() {

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def escape_csv(user_generated_string):
	""" 
	CSV injection esacaping for Python. Excel treats a string as active content when it encounters a 
	"trigger" character at the start of the string. This method returns the string with 
	the triger character escaped.
	"""

	if user_generated_string[0] in ('@','+','-', '='):
		user_generated_string = "'" + user_generated_string

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async function poll(fn, fnCondition, ms, attemptsLimit) {
  let attempts = 0;
  let result = await fn();
  while (fnCondition(result) && attemps < attemptsLimit) {
    await wait(ms);
    result = await fn();
    attempts++;
  }
  return result;
}

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import Ember from 'ember';

export default Ember.Component.extend({
});

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import Ember from 'ember';

export default Ember.Component.extend({
});

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import Ember from 'ember';

export default Ember.Component.extend({
});

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import Ember from 'ember';

export default Ember.Controller.extend({
  publishable: true,
  
  actions: {
  	publish() {
    	console.log('publish');
    }
  }

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-- replace table_name with the name of your database table, e.g. users
-- replace data with the serialized field in the table, e.g. nicknames
-- output generates serialized data that decrypts to a Ruby array.
-- data with quotes, hyphens, or spaces will have issues with this query.

-- preview the YAML to JSON to confirm the conversion is working.
SELECT data, REPLACE(REPLACE(REPLACE(REPLACE(REGEXP_REPLACE(REPLACE(REPLACE(REPLACE(data, 
	' ', ''),
	'...', ''),
	'---', '["'),