#python #vscode #datascience #machinelearning #genai #agenticai #pythonbeginners #codingforbeginners #datasciencetutorial #pythonsetup Welcome to Day 12 of the 120-Day Data Science Series! Today we begin one of the most powerful and widely used concepts in Python — 🔥 Dictionaries (Part 1: Basics to Nested Dictionaries) Dictionaries form the foundation of real-world Python, especially in Data Science, Machine Learning, NLP, APIs, and JSON data processing. If you understand lists and tuples, dictionaries take your Python skill to the next level. 🔥 What You Will Learn in Today’s Video (Dictionary Basics) ✅ 1. What is a Dictionary? Clear explanation of key-value pairs and why they matter. ✅ 2. Creating Dictionaries Different ways to create them: Using {} Using dict() From list of tuples From zip() ✅ 3. Accessing Values dict[key] .get() Why .get() prevents errors ✅ 4. Adding New Key–Value Pairs ✅ 5. Updating Existing Values ✅ 6. Removing Items Using: pop popitem del clear ✅ 7. Checking Keys (in / not in) & Dictionary Length ✅ 8. Looping Through Dictionaries Loop through keys Loop through values Loop through items (key + value together) ✅ 9. Nested Dictionaries (Mini JSON Structure) Including: How to store nested information Accessing nested values Looping through nested dictionaries 🔗 Resources & Links 📘 Notebook / Code Files: https://drive.google.com/drive/folder... ▶️ Watch Previous Days (Full Playlist) 📌 Day 1 – VS Code Installation 📌 Day 2 – Python Basics [ • How to Install VS Code for Python (Step-by... ] 📌 Day 3 – Data Structures + Libraries [ • Day 2: Python Basics for Data Science (Beg... ] 📌 Day 4 – If–Elif–Else Conditions [ • Day 3: Python Data Structures, NumPy & Pan... ] 📌 Day 5 – For Loop [ • Day 4: Python If–Elif–Else Explained for D... ] 📌 Day 6 – For Loop Advance [ • Day 6 : Python For Loop SECRET You Need to... ] 📌 Day 7 – Full While Loop Masterclass [ • Day 7: While Loop Mastery for Data Science... ] 📌 Day 8 – Functions 📌 Day 9 – List Basics 📌 Day 10 – Advanced Lists 🎥 Full Playlist: [ • 120 Day Data Science Series ] 🔗 Follow Me on Socials 📸 Instagram: / datascientistafzal.ai 💼 LinkedIn: / afzal-mansury 📢 WhatsApp Channel: https://whatsapp.com/channel/0029VaCL... 🌐 TopMate (Ask me Anything): https://topmate.io/dashboard/home 🎥 Gear & Products I Use (Affiliate Links) 🎙️ Hollyland Lark M2 Combo : https://amzn.to/4nqWpst 💡 Digitek Ring Light : https://amzn.to/4oLDauW 📷 Digitek Tripod : https://amzn.to/43BjscY 💻 My Laptop Lenovo LOQ 2025 AMD Ryzen 7 250| NVIDIA RTX 5050 8GB : https://amzn.to/4ocqbCp 🎬 My Gaming Chair: https://amzn.to/4qAYrsI python dictionary basics, python dictionary tutorial, nested dictionary python, python for data science, python data structures, dictionary methods python, 120 day data science series, python beginner to advanced, python key value pairs, python interview preparation, Other Title “Day 2: Essential Python for Data Science | Variables, Loops, Functions | 120-Day Series, “Day 3: Python Data Structures, NumPy & Pandas Basics | 120-Day Data Science Series”, “Python Data Structures for Data Science (Lists, Tuples, Dicts) | Day 3 of 120-Day DS Series”, “Day 3: Python Data Structures + NumPy, Pandas & EDA Basics | Data Science Series (120 Days)”, “Learn Python Data Structures for Data Science | Day 3: NumPy, Pandas, NLP Basics”, “Python for Data Science – Day 3: Data Structures, NumPy, Pandas, Matplotlib (120-Day Series)”, “Day 3: Essential Python Data Structures for Data Science | NumPy & Pandas Explained”, “Python Data Structures & NumPy/Pandas Basics | Day 3 of Data Science Series”, “Day 5: Python For Loop Explained for Data Science | 120-Day Data Science Series”, “Python For Loop Tutorial for Beginners | Day 5 of 120-Day Data Science Series”, “Python For Loop: Range, Enumerate, Nested Loops & More | Day 5 Data Science Series”, “Learn Python For Loop Step-by-Step | Day 5: Data Science for Beginners”, “Python For Loop Basics to Advanced (Range, Break, Continue, Nested) | Day 5”, “Python Loops for Data Science – For Loop Explained | Day 5 of 120 Days", “Day 5: Python For Loop Made Easy | Data Science Series”