Notion Template: NumPy & Pandas Essentials (with Python)

These notes on NumPy and Pandas are designed as a companion to the 'Python for Data Science and Machine Learning Bootcamp' by Jose Portilla but are also valuable for any data science learner. Covering essential concepts and practical applications, this guide allows students and professionals to deepen their understanding of these fundamental Python libraries for scientific computing and data manipulation.

NumPy Topics Covered:

• Introduction to NumPy – An overview of its role in Python’s data science toolkit.
• Arrays – Creating and managing vectors and matrices.
• Indexing & Selection – Techniques for accessing and manipulating array data, including slicing and fancy indexing.
• NumPy Operations – Arithmetic operations with arrays, scalar values, and universal functions.
• Practical Code Examples – Clear Python examples to illustrate each concept.

Pandas Topics Covered:

• Introduction to Pandas – Overview of core data structures (Series and DataFrames).
• Data Manipulation – Basic use, data type handling, and SQL integration.
• Data Visualization – Visualization tools in Pandas with Matplotlib integration, including examples for different plot types.

Each section provides code snippets, explanations, and visual aids, making it an ideal resource for quick reference and mastering data manipulation with NumPy and Pandas.

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