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Apprendre Challenge 2: Array Manipulation | NumPy
Data Science Interview Challenge
course content

Contenu du cours

Data Science Interview Challenge

Data Science Interview Challenge

1. Python
2. NumPy
3. Pandas
4. Matplotlib
5. Seaborn
6. Statistics
7. Scikit-learn

book
Challenge 2: Array Manipulation

NumPy offers a comprehensive set of tools for modifying and reshaping arrays. The key benefits include:

  • Diverse Capabilities: From reshaping to splitting, NumPy offers a wide range of functions to modify arrays as per requirements.
  • In-place Operations: Many NumPy functions can perform modifications in-place, meaning without creating a copy of the array, ensuring efficient memory usage.
  • Intuitive Syntax: Array manipulations often have a very readable and straightforward syntax, making the code self-explanatory.

The ability to seamlessly manipulate arrays is a cornerstone of many numerical and data science tasks, making these functions indispensable.

Tâche

Swipe to start coding

Manipulate arrays to change their shape and get desired elements.

  1. Extract the diagonal elements.
  2. Retrieve the elements in the second row.
  3. Extract the 2nd and 3rd rows and change their shape to (5, 2).

Solution

Switch to desktopPassez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous
Tout était clair ?

Comment pouvons-nous l'améliorer ?

Merci pour vos commentaires !

Section 2. Chapitre 2
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book
Challenge 2: Array Manipulation

NumPy offers a comprehensive set of tools for modifying and reshaping arrays. The key benefits include:

  • Diverse Capabilities: From reshaping to splitting, NumPy offers a wide range of functions to modify arrays as per requirements.
  • In-place Operations: Many NumPy functions can perform modifications in-place, meaning without creating a copy of the array, ensuring efficient memory usage.
  • Intuitive Syntax: Array manipulations often have a very readable and straightforward syntax, making the code self-explanatory.

The ability to seamlessly manipulate arrays is a cornerstone of many numerical and data science tasks, making these functions indispensable.

Tâche

Swipe to start coding

Manipulate arrays to change their shape and get desired elements.

  1. Extract the diagonal elements.
  2. Retrieve the elements in the second row.
  3. Extract the 2nd and 3rd rows and change their shape to (5, 2).

Solution

Switch to desktopPassez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous
Tout était clair ?

Comment pouvons-nous l'améliorer ?

Merci pour vos commentaires !

Section 2. Chapitre 2
Switch to desktopPassez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous
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