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Python Slicing – How to Slice an Array and What Does [::-1] Mean?

Here, we specify a start of index 2, no end, and a step of -1. Slicing here will start from index 2 which is 3. The negative steps mean the next value in the slice will be at an index smaller than the previous index by 1. This means 2 - 1 which is 1 so the value at this index, which is 2 will be added to the slice.

https://stackoverflow.com/questions/44133446/what-does-1-mean-in-...

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list - what does [::-1] mean in python - slicing? - Stack Overflow

The method you used is called Slicing in Python. Slicing syntax in python is as follows, [ <first element to include> : <first element to exclude> : <step> ] where adding the step part is optional. Here is a representation of how python list considers positive and negative index.

https://www.geeksforgeeks.org/python-list-slicing/

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Python List Slicing - GeeksforGeeks

Python list slicing is fundamental concept that let us easily access specific elements in a list. In this article, weâ€™ll learn the syntax and how to use both positive and negative indexing for slicing with examples.Example: Get the items from a list starting at position 1 and ending at position 4 (e.

https://www.luisllamas.es/python-slices/

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Qué son y cómo usar Slices en Python - Luis Llamas

Uso de índices negativos. Python permite usar índices negativos para referirse a elementos relativos final de la secuencia (en lugar que desde el principio).. Parece un poco complicado, y al principio lía un poco. Pero básicamente, ultimos_tres = numeros[-3:] # Extrae los últimos tres elementos primeros_salvo_tres = numeros[:-3] # Extrae los elementos, salvo los tres últimos

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python - ¿Qué significa [::-1]? - Stack Overflow en español

Todos los objetos nativos de Python que permiten slicing generan siempre una copia del objeto (copia superficial). Fuera de los tipos nativos esto no siempre es así, por ejemplo NumPy por lo general retorna una vista para ahorra memoria y tiempo de procesado.

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4.1. Slicing — Introducción a la Programación - GitHub Pages

4.1.5. Reemplazando slices por ciclos¶. La funcionlidad de slicing de Python es muy útil porque simplifica el uso de operaciones que se requieren frecuentemente. Sin embargo, no muchos lenguajes ofrecen capacidades comparables para describir slices como en Python, así que es conveniente saber cómo reemplazar esta funcionalidad con funciones basadas en ciclos.

https://www.pythonmorsels.com/slicing/

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List slicing in Python

With Python's slicing syntax, the first item is the start index, and the second item is the stop index.The start index is inclusive, but the stop index is exclusive, meaning Python stops just before the stop index.. So we got the items at index 1 and index 2 because we stopped just before index 3.. Default slice start/stop values. The start and stop values are both optional when slicing.

https://www.pythontutorial.net/advanced-python/python-slicing/

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Python Slicing in Depth - Python Tutorial

Python Slicing: start and stop bounds # The slice seq[start:stop] selects elements starting at the index start and stopping at the index stop (excluding the element at the index stop). In other words, it returns all elements of the sequence at the index n where n satisfies the following expression:

https://bas.codes/posts/python-slicing/

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A Comprehensive Guide to Slicing in Python - Bas codes

Python Slicing is a powerful tool to access sequences. To learn more about the inner mechanics of slices, ... For example, "Python"[::-1] is technically the same as "Python"[-1:-7:-1] Special Case: Copy. There is a special case for slicing which can be used as a shortcut, sometimes:

https://www.pythoncentral.io/how-to-slice-listsarrays-and-tuples-...

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How to Slice Lists/Arrays and Tuples in Python

[python] >>> a[1:4:2] [2, 4] [/python] See, it's as simple as that. That last colon tells Python that we'd like to choose our slicing increment. By default, Python sets this increment to 1, but that extra colon at the end of the numbers allows us to specify what we want it to be. Python Slicing (Lists, Tuples and Arrays) in Reverse

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