1 in python means - PrivacyWall

https://stackoverflow.com/questions/15535205/what-does-1-mean-do-...

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What does [:-1] mean/do in python? - Stack Overflow

Sometimes -1 is used to express the end of an array of things. My guess is this means to read from beginning to the end of the line (but just a guess, hence not an official answer). I'm not sure it's a dup, because of that "in the context of…" part—which is the part that you and, especially, Pavel Anossov answered.

https://www.guru99.com/1-in-python.html

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1] in Python with Examples - Guru99

There are two ways to represent 1 in python as described below: –. It can be represented in a simple square bracket with no colon and another method with double colon syntax. An iterable sequence such as a list or string can be parsed to item level using [] brackets. Within the [] brackets, one has to provide different indexes.

https://www.freecodecamp.org/news/python-slicing-how-to-slice-an-...

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

Here's an example array in Python: We created an array of integer values from 1 to 5 here. We also accessed the second value by using square brackets and its index in the order, which is 1. Let's say you want to slice a portion of this array and assign the slice to another variable. You can do it using colons and square brackets.

https://www.w3schools.com/python/python_operators.asp

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Python Operators - W3Schools

Operators are used to perform operations on variables and values. In the example below, we use the + operator to add together two values: Python divides the operators in the following groups: Arithmetic operators are used with numeric values to perform common mathematical operations: Assignment operators are used to assign values to variables:

https://stackoverflow.com/questions/28535392/what-does-n-1-means-...

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string - What does n [::-1] means in Python? - Stack Overflow

It means, "start at the end; count down to the beginning, stepping backwards one step at a time." The slice notation has three parts: start, stop, step: If the start and stop aren't specified, it means to go through the entire sequence:

https://stackoverflow.com/questions/22832615/what-do-and-mean-in-...

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syntax - What do >> and << mean in Python? - Stack Overflow

Perhaps an example would help, type a series of these in Python: print bin(1), print bin(1 << 1), print bin(17), print bin(17 >> 1) and so on. You can see how it works without explanations. It is an answer to the context the OP provided (and thus known to OP) and not to the question asked.

https://www.tutorialspoint.com/what-does-do-in-python

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What Does 'do' Do in Python - Online Tutorials Library

Slicing in Python gets a sub-string from a string. The slicing range is set as parameters i.e. start, stop and step. For slicing, the 1st index is 0. For negative indexing, to display the 1st element to last element in steps of 1 in reverse order, we use the [::-1]. The [::-1] reverses the order. In a similar way, we can slice strings like this.

https://stackoverflow.com/questions/3453085/what-is-double-colon-...

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What is :: (double colon) in Python when subscripting sequences?

it means 'nothing for the first argument, nothing for the second, and jump by three'. It gets every third item of the sequence sliced. Extended slices is what you want. New in Python 2.3. It returns every item on a position that is a multiple of 3. Since 3*0=0, it returns also the item on position 0.

https://www.sololearn.com/en/discuss/1838639/python-string-questi...

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Python String question: What does [::-1] mean? - Sololearn

In Python, the syntax ` [::-1]` is used to reverse a string. It is known as string slicing with a step value of -1. Let's break down how it works: - The first colon `:` indicates that we want to slice the entire string. - The second colon `:` indicates the step value.

https://stackoverflow.com/questions/41446833/what-is-the-differen...

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python - What is the difference between i = i + 1 and i += 1 in a 'for ...

a = a + 1. b += 1. After running each for loop, A has not changed, but B has had one added to each element. I actually use the B version to write to a initialized NumPy array within a for loop. Do you realize that you are iterating on the rows of the array, not the individual elements? How is it possible that question from yesterday got 78 upvotes?

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