Postgraduate Certificate in NumPy Programming Fundamentals
-- ViewingNowThe Postgraduate Certificate in NumPy Programming Fundamentals is a comprehensive course that equips learners with essential skills in NumPy, a crucial library for data analysis and scientific computing in Python. This course highlights the importance of NumPy in handling numerical data, which is a critical aspect of data science and machine learning.
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⢠Introduction to NumPy – exploring fundamental concepts, NumPy array structure, and its advantages in data manipulation.
⢠NumPy Installation – walkthrough for installing NumPy on various platforms, ensuring compatibility and troubleshooting common issues.
⢠Creating NumPy Arrays – master generating 1D and multi-dimensional arrays, applying various methods and techniques.
⢠Basic Operations on NumPy Arrays – learn essential functions for element-wise arithmetic, comparisons, and array operations.
⢠NumPy Data Types – explore data types, handling conversions, and managing memory with NumPy arrays.
⢠NumPy Array Indexing — understand and implement advanced indexing, slicing, and dicing techniques.
⢠NumPy Array Manipulation — delve into reshaping, splitting, and joining arrays to manipulate data efficiently.
⢠NumPy Universal Functions — leverage vectorized operations and apply mathematical functions to entire arrays.
⢠NumPy Random Number Generation — harness random sampling techniques and manage random state for reproducibility.
⢠NumPy Linear Algebra — perform linear algebraic operations, eigenvalue problems, and solve linear systems with NumPy.
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