Training Python Academy

Training goals

code: PA-NCNP

The library NumPy is the de facto standard for the work with arrays and linear algebra. It provides array processing capabilities comparable with MATLAB and offers a high-level tool for efficient and convenient work with numerical data.

Conspect Show list

  1. Standard arrays and linear algebra library
  2. Array-constructions and array-properties in examples
  3. Speed comparison between dynamically determined Python data types with explicitly specified NumPy arrays
  4. Correspondence between NumPy and C data types
  5. Slicing and Broadcasting
    • Reading and writing to arbitrary parts of arrays
    • Applying broadcasting for arrays with different shapes
  6. Universal Functions
    • Applying many operations on whole arrays independent from their dimensions
    • Examples of use
  7. Numerical algebra.
  8. Working with missing values - masked and NA-masked arrays to handle arrays with missing or not valid values.
  9. Customizing error handling - NumPy offers a fine-grained approach to handle errors without impacting the performance.
  10. Testing support - NumPy includes helpers to write to test code - course introduces to testing basics with it.
Download conspect training as PDF

Additional information

Prerequisites
  • Basic knowledge of Python language.
Difficulty level
Duration 1 day
Certificate

The participants will obtain certificates signed by Python Academy.

Trainer

Authorized Python Academy Trainer.

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