Decode-AiML

5.02 Creating Pandas DataFrame

---

Lecture 5.2) DataFrame Introduction & Internals - Creation, Reading Files & Key Features - Pandas in Hindi

Video Link: Watch on YouTube

Notes Link : Creating Pandas DataFrame

Video Description:

📘 Topics Covered:

1. What is a DataFrame data structure?
2. What is a Series data structure?
3. Properties of a DataFrame explained
4. Creating DataFrames from: Dictionary of Lists, List of Dictionary, List of Lists, NumPy array, Lists, Series object
5. Reading CSV, Excel, HTML, JSON files into DataFrames
6. Reading remote files via URL into DataFrames
7. Internals: Why Pandas DataFrames are powerful
8. NumPy arrays for speed in DataFrames
9. Columnar storage & ArrayManager
10. Label-aware indexing in DataFrames
11. C and Cython acceleration in Pandas
12. Summary: Key DataFrame features in Pandas

#Pandas #PythonDSA #DataFrame #PandasTutorial #PythonProgramming #DataScienceWithPython #PandasInHindi #PythonHindi #DataFrameInternals #DSAInPython #CodingForBeginners #DecodeAiML

---

Decode AiML Youtube Channel : @decodeAiML

• We are committed to uploading one topic every day exclusively on our YouTube channel.
• All associated course content (Jupyter Notebooks, handwritten notes, etc.) will be available here on GitHub.
• Lecture Language: Hindi + English (Code-mixed for better understanding)

---

👨‍💻 About Decode AI:

We’re not your average tutorial channel. Decode AiML is built by IIT alumni with hands-on experience at companies like Google, NVIDIA, Samsung Research, Oracle, and Flipkart.

🎓 Our mission is simple:

Help you crack roles like Applied Scientist, Data Scientist, and ML Engineer at MAANG and other top tech companies — with real-world guidance that bridges the gap between YouTube tutorials and actual interview expectations.