Numpy
Welcome to Realcare Tech Mark's Online NumPy Course, your gateway to mastering the powerful numerical computing library in Python. Whether you're a data scientist, engineer, or enthusiast, this course is crafted to enhance your skills in handling large datasets, performing mathematical operations, and manipulating numerical arrays efficiently using NumPy.
Curriculum
- 10 Sections
- 30 Lessons
- 0 Quizzes
- 0m Duration
Introduction to NumPy
3 Lessons0 Quizzes
- Overview of NumPy and its Applications
- Installation and Setup
- Basic NumPy Concepts
NumPy Arrays
3 Lessons0 Quizzes
- Creating NumPy Arrays
- Indexing and Slicing
- Array Manipulation
Array Operations
3 Lessons0 Quizzes
- Element-Wise Operations
- Linear Algebra Operations
- Statistical Operations
Broadcasting
3 Lessons0 Quizzes
- Understanding Broadcasting
- Practical Applications
- Tips for Efficient Broadcasting
File Input/Output with NumPy
3 Lessons0 Quizzes
- Reading and Writing Data with NumPy
- Compatibility with Different File Formats
- Handling Large Datasets
Advanced NumPy Features
3 Lessons0 Quizzes
- Masked Arrays
- Universal Functions (ufuncs)
- Memory Management in NumPy
NumPy and Data Science
3 Lessons0 Quizzes
- Data Preprocessing with NumPy
- Analyzing Data Using NumPy
- Integration with Other Data Science Libraries
NumPy and Machine Learning
3 Lessons0 Quizzes
- Feature Engineering with NumPy
- Data Transformation for ML
- Evaluating Models with NumPy
Optimizing NumPy Code
3 Lessons0 Quizzes
- Vectorization for Performance
- Parallel Computing with NumPy
- Best Practices in NumPy Optimization
Practical Applications
3 Lessons0 Quizzes
- Applying NumPy to Real-World Projects
- Building a Portfolio of NumPy Applications
- Showcasing Your NumPy Skills