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Python Dictionary Lab | Keys, Values, Lists & Tuples Explained

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Python Dictionary Lab | Keys, Values, Lists & Tuples Explained
📌 Description:
Welcome back to Dr. B’s Data Lab! In this Week 4 Lab, we explore Python dictionaries with practical exercises. This video will guide you through creating, modifying, and interacting with keys, values, lists, and tuples within dictionaries. This lab includes real-world problem-solving challenges, so get ready to think critically and apply what you've learned!
📖 Timestamps:
📖 0:00 – Creating a Dictionary with 10 Keys
🔑 2:10 – Printing Dictionary Keys & Values
✏️ 3:32 – How to Rename a Dictionary Key
🗑️ 7:02 – Deleting Keys in a Dictionary (del vs. pop())
📝 8:36 – Creating a Dictionary with Lists & Tuples
📌 9:11 – Counting Elements in a Dictionary (len())
🌍 10:18 – Adding Elements to a List in a Dictionary (.append())
🔍 11:10 – Checking Membership in a List (Using in)
📍 12:40 – Modifying a Tuple in a Dictionary (Workaround)
🔹 What You’ll Learn:
✔️ How to create, print, and modify dictionaries
✔️ Understanding dictionary keys and values
✔️ Using .pop() and del to remove elements
✔️ How to append new items to a list within a dictionary
✔️ Why tuples are immutable and how to modify them
✔️ Using len() to count dictionary elements
✔️ Checking if a value exists within a dictionary key’s list
💡 Key Takeaways:
Dictionaries store key-value pairs that allow for fast data retrieval.
Lists within dictionaries can be modified using .append(), but tuples require a full replacement.
Using in to check for membership is useful for validating list values.
Problem-solving skills are crucial for debugging and modifying dictionary structures.
📝 Perfect for:
✔️ Python beginners learning data storage & manipulation
✔️ Data analysts working with structured datasets
✔️ Anyone looking to strengthen their problem-solving skills in Python
💻 Want More?
Like 👍, Subscribe 🔔, and leave a comment if you have any questions!
#Python #Dictionaries #DataScience #ProgrammingLab #PythonTutorial #DrBsDataLab
📌 Description:
Welcome back to Dr. B’s Data Lab! In this Week 4 Lab, we explore Python dictionaries with practical exercises. This video will guide you through creating, modifying, and interacting with keys, values, lists, and tuples within dictionaries. This lab includes real-world problem-solving challenges, so get ready to think critically and apply what you've learned!
📖 Timestamps:
📖 0:00 – Creating a Dictionary with 10 Keys
🔑 2:10 – Printing Dictionary Keys & Values
✏️ 3:32 – How to Rename a Dictionary Key
🗑️ 7:02 – Deleting Keys in a Dictionary (del vs. pop())
📝 8:36 – Creating a Dictionary with Lists & Tuples
📌 9:11 – Counting Elements in a Dictionary (len())
🌍 10:18 – Adding Elements to a List in a Dictionary (.append())
🔍 11:10 – Checking Membership in a List (Using in)
📍 12:40 – Modifying a Tuple in a Dictionary (Workaround)
🔹 What You’ll Learn:
✔️ How to create, print, and modify dictionaries
✔️ Understanding dictionary keys and values
✔️ Using .pop() and del to remove elements
✔️ How to append new items to a list within a dictionary
✔️ Why tuples are immutable and how to modify them
✔️ Using len() to count dictionary elements
✔️ Checking if a value exists within a dictionary key’s list
💡 Key Takeaways:
Dictionaries store key-value pairs that allow for fast data retrieval.
Lists within dictionaries can be modified using .append(), but tuples require a full replacement.
Using in to check for membership is useful for validating list values.
Problem-solving skills are crucial for debugging and modifying dictionary structures.
📝 Perfect for:
✔️ Python beginners learning data storage & manipulation
✔️ Data analysts working with structured datasets
✔️ Anyone looking to strengthen their problem-solving skills in Python
💻 Want More?
Like 👍, Subscribe 🔔, and leave a comment if you have any questions!
#Python #Dictionaries #DataScience #ProgrammingLab #PythonTutorial #DrBsDataLab