![]() ![]() pandas provides a huge range of data analysis options and can make short work of enormous amounts of data.Ġ1:47 The expense tracker should offer analysis over different time periods, and pandas can achieve this quickly and easily. Providing an interface which allows the quick input and categorization of expenses here is important.Ġ1:34 Otherwise, the app won’t get used if it’s difficult to enter the data. The core of this application is the input, storage, and recall of expenses, so naturally, a database will be central to its operation.Ġ1:19 You’ll need to spend some time designing the database appropriately so that it can store all of the information you need in a manner that you can access later on for analysis. Firstly, input and categorization, and also storage. Quick and easy.Ġ1:01 Let’s look at some of the technical challenges you’ll face in creating your expense tracker. ![]() Adding an expense is done by clicking on the relevant category…Ġ0:57 and now we can see has been entered. With a more advanced tracker, it’s possible to perform in-depth analysis of spending and ensure that you’re keeping within set budgets and making better financial decisions.Ġ0:36 Let’s take a look at a single example of an expense tracker in action. An expense tracker can help with this.Ġ0:17 A tracker allows users to log their expenses and categorize them, providing some totals for each category and allowing analysis of these expenditures. There are so many that it’s easy to lose track of them and not keep an eye on where all the money’s going. We all have expenses from day to day, whether it’s grocery, clothing, fuel, and other bills. 00:00 And the final project: Expense Tracker.
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