Enhance your comprehension and use of hashmap data structures while focusing on its application in counting and aggregation tasks. This exploration will deepen your understanding of their efficient data access and manipulation capabilities.
Overview
Syllabus
- Lesson 1: Essentials of HashMaps in Python
- Update the Library Catalog Entry
- Library Catalog Error Correction
- Check Book Availability in Library Catalog
- Update and Access Elements in a Library Catalog Dictionary
- Updating a Library Catalog Using HashMaps in Python
- Lesson 2: Mastering Element Counting with Python HashMaps
- Explore Dictionary Methods for Efficient Counting
- Correct the Book Counter Code
- Update Book Counts in Library Tracker
- Counting Letter Frequency in a Library Sentence
- Counting Book Copies in a Collection Using HashMaps
- Lesson 3: Aggregating Essentials: Mastering HashMaps in Python
- Calculate the Average Quantity in Inventory
- Inventory Maximum Quantity Calculation Correction
- Add Inventory Statistics Calculation to Grocery Shop System
- Inventory Stock Level Comparison to Average
- Grocery Shop Inventory Maximum Count Finder
- Lesson 4: HashMaps in Action: Solving Real-World Problems in Python
- Update Library System to Handle Borrowing Logic
- Spot the Bug in Library Catalog Management
- Update Library Inventory and Check Stock Status
- Add Word Count Functionality to the HashMap
- Check Book Availability in Library Catalog
