Training Python Academy

Training goals dlearning

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

Requirements
  • 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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Training thematically related

Programming

Python

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350 EUR

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Traditional training

Sessions organised at Compendium CE are usually held in our locations in Kraków and Warsaw, but also in venues designated by the client. The group participating in training meets at a specific place and specific time with a coach and actively participates in laboratory sessions.

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You may participate from at any place in the world. It is sufficient to have a computer (or, actually a tablet, or smartphone) connected to the Internet. Compendium CE provides each Distance Learning training participant with adequate software enabling connection to the Data Center. For more information, please visit dlearning.eu site

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