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Getting into NumPy Basics
course content

Contenuti del Corso

Getting into NumPy Basics

Getting into NumPy Basics

IntroductionCreating NumPy ArraysManipulating and IndexingBasic Statistical OperationsLinear Algebra OperationsReshaping and StackingSaving and Loading Arrays to/from Files

book
Saving and Loading Arrays to/from Files

NumPy offers a variety of functions for saving and loading numPy arrays to and from files, such as:

  • save(): Saves an array to a binary file in NumPy's .npy format;
  • savez(): Saves multiple arrays to a single compressed .npz file;
  • savetxt(): Saves an array to a text file;
  • load(): Loads an array from a binary file in NumPy's .npy format;
  • loadtxt(): Loads an array from a text file.
Compito

Swipe to start coding

  1. Save the newly created array in NumPy's .npy format.
  2. Save the array to a text file.
  3. Load back in the array.

Soluzione

Congratulations!

Congratulations on completing this NumPy tutorial! You have gained substantial knowledge about handling arrays and matrices in Python, laying down a strong foundation for utilizing NumPy in your data processing and analysis endeavors.

Mark tasks as Completed
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Sezione 1. Capitolo 7

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course content

Contenuti del Corso

Getting into NumPy Basics

Getting into NumPy Basics

IntroductionCreating NumPy ArraysManipulating and IndexingBasic Statistical OperationsLinear Algebra OperationsReshaping and StackingSaving and Loading Arrays to/from Files

book
Saving and Loading Arrays to/from Files

NumPy offers a variety of functions for saving and loading numPy arrays to and from files, such as:

  • save(): Saves an array to a binary file in NumPy's .npy format;
  • savez(): Saves multiple arrays to a single compressed .npz file;
  • savetxt(): Saves an array to a text file;
  • load(): Loads an array from a binary file in NumPy's .npy format;
  • loadtxt(): Loads an array from a text file.
Compito

Swipe to start coding

  1. Save the newly created array in NumPy's .npy format.
  2. Save the array to a text file.
  3. Load back in the array.

Soluzione

Congratulations!

Congratulations on completing this NumPy tutorial! You have gained substantial knowledge about handling arrays and matrices in Python, laying down a strong foundation for utilizing NumPy in your data processing and analysis endeavors.

Mark tasks as Completed
Switch to desktopCambia al desktop per esercitarti nel mondo realeContinua da dove ti trovi utilizzando una delle opzioni seguenti
Tutto è chiaro?

Come possiamo migliorarlo?

Grazie per i tuoi commenti!

Sezione 1. Capitolo 7
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