NumPy for Data Science

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Section 1: Overview

  1. Welcome Message (Don't Skip!)
  2. Introduction to Numpy
  3. How to Get Queries Resolved
  4. Download Resources

Section 2: Setup Environment

  1. Python Setup Local Installation
  2. Python Setup Google Colab

Section 3: Creating arrays

  1. Creating Arrays
  2. Inspecting Arrays
  3. Why DataTypes Matter
  4. Import and Export Data
  5. Course Review
  6. Assignment
  7. Assignment Solution

Section 4: Data Manipulation I

  1. Missing Data
  2. Extracting Specific Items
  3. Random Numbers
  4. Set Operations
  5. Assignment
  6. Assignment Solutions

Section 5: Data Manipulation II

  1. Statistical Summaries
  2. Reshaping and New Axis
  3. Sequences and Repetitions
  4. Mesh Grid
  5. Concatenate and Split
  6. Course Review
  7. Assignment
  8. Assignment Solutions

Section 6: Useful Functions

  1. Sorting Methods
  2. Searchsorted and Bisect
  3. Handling Dates
  4. Vectorization
  5. Apply Along
  6. Useful Functions
  7. Assignment
  8. Assignment Solutions

Section 7: Broadcasting and uFuncs

  1. Broadcasting
  2. Universal Functions (UFuncs)

Section 8: Mathematical Operations

  1. Interpolation
  2. Fitting Polynomials
  3. Matrix Operations
  4. Solving Linear Equations
  5. Course Review
  6. Assignment

Summary

  1. Closing Remarks
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