My AI is learning to WALK! скачать в хорошем качестве

My AI is learning to WALK!

In this video, Michael goes about implementing walkers that act as agents traversing the graphs performing different tasks in relation to the Expense Tracker. This video focuses on building "walkers" for an expense tracker application, which are agents that navigate a graph database to perform various tasks (0:39). The creator, Michael, demonstrates the implementation of four key walkers: Graph Initialization Walker (0:56): This walker is responsible for setting up the initial graph structure, including creating a user node, default settings, and connecting default expense categories to the user. Add New Expense Walker (4:55): This walker handles adding new expenses. It includes logic to find a matching category for the expense or default to an "other" category if no match is found, and then converts the expense amount to USD before adding it to the relevant category node. Get Dashboard Data Walker (9:35): This walker retrieves data for the dashboard, calculating total expenses for the current month, breaking down expenses by category, and identifying the biggest expense category and amount. Get Expenses by Category Walker (13:08): This walker is designed to fetch all expenses associated with a specific category. Additionally, the video covers the creation of basic utility functions for handling dates and times, such as get_current_date_time, get_current_date, and get_current_month (15:51). The video concludes with a quick recap of the defined walkers and utility functions, and a preview of future videos which will focus on more advanced utility functions and testing the system (18:10). GitHub repository: https://github.com/MichaelAshley2000/... #jac #coding #programming #expensetracker