NumPy for Data Science
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Section 1: Overview
- Welcome Message (Don't Skip!)
- Introduction to Numpy
- How to Get Queries Resolved
- Download Resources
Section 2: Setup Environment
- Python Setup Local Installation
- Python Setup Google Colab
Section 3: Creating arrays
- Creating Arrays
- Inspecting Arrays
- Why DataTypes Matter
- Import and Export Data
- Course Review
- Assignment
- Assignment Solution
Section 4: Data Manipulation I
- Missing Data
- Extracting Specific Items
- Random Numbers
- Set Operations
- Assignment
- Assignment Solutions
Section 5: Data Manipulation II
- Statistical Summaries
- Reshaping and New Axis
- Sequences and Repetitions
- Mesh Grid
- Concatenate and Split
- Course Review
- Assignment
- Assignment Solutions
Section 6: Useful Functions
- Sorting Methods
- Searchsorted and Bisect
- Handling Dates
- Vectorization
- Apply Along
- Useful Functions
- Assignment
- Assignment Solutions
Section 7: Broadcasting and uFuncs
- Broadcasting
- Universal Functions (UFuncs)
Section 8: Mathematical Operations
- Interpolation
- Fitting Polynomials
- Matrix Operations
- Solving Linear Equations
- Course Review
- Assignment
Summary
- Closing Remarks