Data Handling using Pandas - I
CBSE · Class 12 · Informatics Practices
Complete topic list for Data Handling using Pandas - I in CBSE Class 12 Informatics Practices. Key concepts, sub-topics, and what to focus on for board exams.
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Topics in Data Handling using Pandas - I
Python Libraries and Pandas Basics
- Python libraries contain built-in modules that can be imported and used for many tasks.
- NumPy stands for Numerical Python and is used for numerical and scientific computing.
- Pandas stands for PANelData and is a high-level data manipulation library.
Series: Creation, Indexing, Slicing, Attributes and Methods
- A Series is one-dimensional and can hold values of any data type.
- If no index is given, Series uses default indices from 0 to N-1.
- A Series can be created from a list, NumPy array, or dictionary.
Series Mathematical Operations and Alignment
- Basic mathematical operations work on Series just like on arrays, but index matching is applied.
- When labels do not match, the result contains the union of the indexes involved.
- Missing values are shown as NaN in operator-based operations.
DataFrame: Creation and Structure
- A DataFrame is a two-dimensional labelled data structure like a table of MySQL.
- A DataFrame has both row index and column index.
- Each DataFrame column can have a different data type.
Key Concepts
Central concept: Pandas for data handling in Python
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Sources & Official References
- NCERT Official — ncert.nic.in
- CBSE Academic — cbseacademic.nic.in
- CBSE Official — cbse.gov.in
- National Education Policy 2020 — education.gov.in
Content is aligned to the official syllabus. Refer to the board website for the latest curriculum.
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