Merge pull request #447 from 30-seconds/redate

This commit is contained in:
Angelos Chalaris
2021-06-17 17:56:38 +03:00
committed by GitHub
166 changed files with 1039 additions and 798 deletions

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.github/config.yml vendored
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@ -1,14 +0,0 @@
# Configuration for request-info - https://github.com/behaviorbot/request-info
# *Required* Comment to reply with
requestInfoReplyComment: >
We would appreciate it if you could provide us with some more information about this issue/PR!
# *OPTIONAL* default titles to check against for lack of descriptiveness
# MUST BE ALL LOWERCASE
requestInfoDefaultTitles:
- update readme.md
- updates
# *OPTIONAL* Label to be added to Issues and Pull Requests with insufficient information given
requestInfoLabelToAdd: needs-more-info

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# Configuration for Lock Threads - https://github.com/dessant/lock-threads
# Number of days of inactivity before a closed issue or pull request is locked
daysUntilLock: 60
# Skip issues and pull requests created before a given timestamp. Timestamp must
# follow ISO 8601 (`YYYY-MM-DD`). Set to `false` to disable
skipCreatedBefore: false
# Issues and pull requests with these labels will be ignored. Set to `[]` to disable
exemptLabels: []
# Label to add before locking, such as `outdated`. Set to `false` to disable
lockLabel: false
# Comment to post before locking. Set to `false` to disable
lockComment: false
# Assign `resolved` as the reason for locking. Set to `false` to disable
setLockReason: true
# Limit to only `issues` or `pulls`
# only: issues
# Optionally, specify configuration settings just for `issues` or `pulls`
# issues:
# exemptLabels:
# - help-wanted
# lockLabel: outdated
# pulls:
# daysUntilLock: 30
# Repository to extend settings from
# _extends: repo

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.github/stale.yml vendored
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# Number of days of inactivity before an issue becomes stale
daysUntilStale: 21
# Number of days of inactivity before a stale issue is closed
daysUntilClose: 7
# Issues with these labels will never be considered stale
exemptLabels:
- not-stale
- pinned
- security
# Label to use when marking an issue as stale
staleLabel: false
# Comment to post when marking an issue as stale. Set to `false` to disable
markComment: >
This issue has been automatically marked as stale because it has not had
recent activity. It will be closed if no further activity occurs. Thank you
for your contributions.
# Comment to post when closing a stale issue. Set to `false` to disable
closeComment: false

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@ -2,20 +2,10 @@
**30 seconds of code** is powered by the community, so feel free to contribute in any way you can to help us!
## Tools
Before you begin contributing, you should install the integration-tools globally on your machine:
```sh
npm install -g @30-seconds/integration-tools
```
This will allow you to use our customized tools for all of our content repositories.
## How you can help
- Submit pull requests with new snippets (see guidelines below) or snippet updates (tags, descriptions, explanations, typos, examples, code improvements).
- Open issues for things you want to see added, modified, discuss ideas or help out with existing issues.
- Open issues for things you want to see added, modified, discuss ideas or help out with existing issues.
## Ground rules
@ -23,25 +13,24 @@ Breaking any of these rules will result in your pull request being closed. Pleas
- **Always be polite and respectful to others** and try to follow the advice of the moderators/collaborators/owners.
- **Only modify snippet files**, never modify the generated files in the `snippet_data` directory.
- **Use the integration tools commands** to generate new snippets, ensuring they have the correct name and are in the correct location.
- **Use the snippet template** to create new snippets, ensure they have the correct name and are in the correct location.
- **Follow snippet format exactly**, otherwise your snippets will not be recognized correctly by the tools responsible for publishing them on the website. This includes such things as spacing and empty lines - if you accidentally make a mistake, consult the repository's [snippet template](snippet-template.md).
- **Snippets should solve real-world problems**, no matter how simple and should be abstract enough to be applied to different scenarios.
## Snippet creation
After installing the integration tools, you can run the following command:
In order to create a new snippet, you should follow the steps below:
```sh
create-new-snippet <my-snippet-name>
```
Replace `<my-snippet-name>` with the name of the snippet you are adding.
- Crate a copy of the [snippet template](snippet-template.md) in the `snippets` directory.
- Change the name of the newly created file to the name of your snippet.
- Edit the file, adding your snippet based on the guidelines.
## Snippet guidelines
- Snippets must have all their frontmatter sections (title, tags etc.) filled.
- Snippet titles must correspond to the filename and follow the language and repository's naming conventions.
- Snippet tags must be comma-separated, contain a primary tag as seen on the website as their first tag and an expertise tag (`beginner`, `intermediate` or `advanced`) as their last tag.
- Snippets must have their `firstSeen` dates formatted using [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601).
- Snippet descriptions must be short and to the point. Explain *what* the snippet does and detail *how* the snippet works and the language features used in it.
- Snippet code and examples must be enclosed in appropriate, language-tagged blocks as shown in the snippet template, be short and use modern techniques and features. Also make sure to test your code before submitting.
- If your snippet contains arguments with default parameters, explain what happens if they are omitted when calling the function and what the default case is. Specify default parameters for arguments only if necessary.

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@ -1,14 +1,14 @@
[![Logo](/logo.png)](https://30secondsofcode.org/python/p/1)
## 30 seconds of Python
# 30 seconds of code
> Short Python code snippets for all your development needs
* Visit [our website](https://30secondsofcode.org) to view our snippet collection.
* Use the [Search page](https://30secondsofcode.org/search) to find snippets that suit your needs. You can search by name, tag, language or using a snippet's description. Just start typing a term and see what comes up.
* Browse the [Python Snippet List](https://30secondsofcode.org/python/p/1) to see all the snippets in this project or click individual tags at the top of the same page to narrow down your search to a specific tag.
* Browse the [Python Snippet collection](https://30secondsofcode.org/python/p/1) to see all the snippets in this project or click individual tags at the top of the same page to narrow down your search to a specific tag.
* Click on each snippet card to view the whole snippet, including code, explanation and examples.
* You can use the button on the right side of a snippet card to copy the code to clipboard.
* You can use the button at the bottom of a snippet card to copy the code to clipboard.
* If you like the project, give it a star. It means a lot to the people maintaining it.
## Want to contribute?
@ -18,9 +18,9 @@
* If you find a problem with a specific snippet, please [open an issue](https://github.com/30-seconds/30-seconds-of-python/issues/new).
* If you find a problem with the website, please [report it in the web repository](https://github.com/30-seconds/30-seconds-web/issues/new).
## Credits & Sponsors
## Credits
* This repository is maintained by the [30-seconds organization on GitHub](https://github.com/30-seconds).
* This repository is maintained by the [30 seconds of code organization on GitHub](https://github.com/30-seconds).
* All snippets are licensed under the CC0-1.0 License, unless explicitly stated otherwise.
* Logos, names and trademarks are not to be used without the explicit consent of the maintainers or owners of the 30 seconds GitHub organization.
* Our website is powered by [Netlify](https://www.netlify.com/), [Gatsby](https://www.gatsbyjs.org/), [Travis CI](https://travis-ci.com/) & [GitHub](https://github.com/)
* Logos, names and trademarks are not to be used without the explicit consent of the owners of the 30 seconds of code GitHub organization.
* Our website is powered by [Netlify](https://www.netlify.com/), [Next.js](https://nextjs.org/) & [GitHub](https://github.com/).

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---
title: function_name
tags: utility,intermediate
firstSeen: 2021-06-13T05:00:00-04:00
---
Explain briefly what the snippet does.

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@ -1,6 +1,8 @@
---
title: add_days
tags: date,intermediate
firstSeen: 2020-10-28T16:19:04+02:00
lastUpdated: 2020-10-28T16:19:04+02:00
---
Calculates the date of `n` days from the given date.

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@ -1,6 +1,8 @@
---
title: all_equal
tags: list,beginner
firstSeen: 2019-08-20T11:39:18+03:00
lastUpdated: 2020-10-11T13:40:42+03:00
---
Checks if all elements in a list are equal.

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@ -1,6 +1,8 @@
---
title: all_unique
tags: list,beginner
firstSeen: 2018-04-01T11:03:09+03:00
lastUpdated: 2021-01-07T23:30:28+02:00
---
Checks if all the values in a list are unique.

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@ -1,6 +1,8 @@
---
title: arithmetic_progression
tags: math,beginner
firstSeen: 2020-07-28T13:57:33+03:00
lastUpdated: 2020-11-02T19:27:07+02:00
---
Generates a list of numbers in the arithmetic progression starting with the given positive integer and up to the specified limit.

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@ -1,6 +1,8 @@
---
title: average
tags: math,list,beginner
firstSeen: 2018-01-27T07:16:41+02:00
lastUpdated: 2020-11-02T19:27:07+02:00
---
Calculates the average of two or more numbers.

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@ -1,6 +1,8 @@
---
title: average_by
tags: math,list,intermediate
firstSeen: 2019-08-20T11:55:10+03:00
lastUpdated: 2020-11-02T19:27:07+02:00
---
Calculates the average of a list, after mapping each element to a value using the provided function.

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@ -1,6 +1,8 @@
---
title: bifurcate
tags: list,intermediate
firstSeen: 2019-08-20T12:37:06+03:00
lastUpdated: 2020-11-02T19:27:07+02:00
---
Splits values into two groups, based on the result of the given `filter` list.

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@ -1,6 +1,8 @@
---
title: bifurcate_by
tags: list,intermediate
firstSeen: 2019-08-20T12:41:21+03:00
lastUpdated: 2020-11-02T19:27:07+02:00
---
Splits values into two groups, based on the result of the given filtering function.

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@ -1,6 +1,8 @@
---
title: binomial_coefficient
tags: math,beginner
firstSeen: 2020-10-04T11:56:31+03:00
lastUpdated: 2020-11-02T19:27:07+02:00
---
Calculates the number of ways to choose `k` items from `n` items without repetition and without order.

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@ -1,6 +1,8 @@
---
title: byte_size
tags: string,beginner
firstSeen: 2018-02-01T10:19:59+02:00
lastUpdated: 2020-11-02T19:27:07+02:00
---
Returns the length of a string in bytes.

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@ -1,6 +1,8 @@
---
title: camel
tags: string,regexp,intermediate
firstSeen: 2019-08-21T08:59:54+03:00
lastUpdated: 2020-11-02T19:27:07+02:00
---
Converts a string to camelcase.

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@ -1,6 +1,8 @@
---
title: capitalize
tags: string,intermediate
firstSeen: 2018-02-01T10:19:59+02:00
lastUpdated: 2020-11-02T19:27:07+02:00
---
Capitalizes the first letter of a string.

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@ -1,6 +1,8 @@
---
title: capitalize_every_word
tags: string,beginner
firstSeen: 2018-02-01T10:19:59+02:00
lastUpdated: 2020-11-02T19:27:07+02:00
---
Capitalizes the first letter of every word in a string.

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@ -1,6 +1,8 @@
---
title: cast_list
tags: list,intermediate
firstSeen: 2019-08-20T12:47:43+03:00
lastUpdated: 2020-11-02T19:27:07+02:00
---
Casts the provided value as a list if it's not one.

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@ -1,18 +1,20 @@
---
title: celsius_to_fahrenheit
tags: math,beginner
unlisted: true
---
Converts Celsius to Fahrenheit.
- Follow the conversion formula `F = 1.8 * C + 32`.
```py
def celsius_to_fahrenheit(degrees):
return ((degrees * 1.8) + 32)
```
```py
celsius_to_fahrenheit(180) # 356.0
```
---
title: celsius_to_fahrenheit
tags: math,beginner
unlisted: true
firstSeen: 2020-04-05T12:29:03+03:00
lastUpdated: 2021-01-04T12:47:04+02:00
---
Converts Celsius to Fahrenheit.
- Follow the conversion formula `F = 1.8 * C + 32`.
```py
def celsius_to_fahrenheit(degrees):
return ((degrees * 1.8) + 32)
```
```py
celsius_to_fahrenheit(180) # 356.0
```

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@ -1,19 +1,21 @@
---
title: check_prop
tags: function,intermediate
---
Creates a function that will invoke a predicate function for the specified property on a given object.
- Return a `lambda` function that takes an object and applies the predicate function, `fn` to the specified property.
```py
def check_prop(fn, prop):
return lambda obj: fn(obj[prop])
```
```py
check_age = check_prop(lambda x: x >= 18, 'age')
user = {'name': 'Mark', 'age': 18}
check_age(user) # True
```
---
title: check_prop
tags: function,intermediate
firstSeen: 2020-01-02T16:49:25+02:00
lastUpdated: 2020-11-02T19:27:07+02:00
---
Creates a function that will invoke a predicate function for the specified property on a given object.
- Return a `lambda` function that takes an object and applies the predicate function, `fn` to the specified property.
```py
def check_prop(fn, prop):
return lambda obj: fn(obj[prop])
```
```py
check_age = check_prop(lambda x: x >= 18, 'age')
user = {'name': 'Mark', 'age': 18}
check_age(user) # True
```

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@ -1,6 +1,8 @@
---
title: chunk
tags: list,intermediate
firstSeen: 2018-01-09T06:39:42+02:00
lastUpdated: 2020-11-02T19:27:07+02:00
---
Chunks a list into smaller lists of a specified size.

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@ -1,6 +1,8 @@
---
title: chunk_into_n
tags: list,intermediate
firstSeen: 2020-10-12T22:11:30+03:00
lastUpdated: 2020-10-23T05:35:06+03:00
---
Chunks a list into `n` smaller lists.

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@ -1,6 +1,8 @@
---
title: clamp_number
tags: math,beginner
firstSeen: 2019-08-20T12:50:38+03:00
lastUpdated: 2020-11-02T19:27:07+02:00
---
Clamps `num` within the inclusive range specified by the boundary values.

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@ -1,6 +1,8 @@
---
title: collect_dictionary
tags: dictionary,intermediate
firstSeen: 2020-04-07T21:15:06+03:00
lastUpdated: 2020-11-02T19:27:07+02:00
---
Inverts a dictionary with non-unique hashable values.

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@ -1,28 +1,30 @@
---
title: combine_values
tags: dictionary,intermediate
---
Combines two or more dictionaries, creating a list of values for each key.
- Create a new `collections.defaultdict` with `list` as the default value for each key and loop over `dicts`.
- Use `dict.append()` to map the values of the dictionary to keys.
- Use `dict()` to convert the `collections.defaultdict` to a regular dictionary.
```py
from collections import defaultdict
def combine_values(*dicts):
res = defaultdict(list)
for d in dicts:
for key in d:
res[key].append(d[key])
return dict(res)
```
```py
d1 = {'a': 1, 'b': 'foo', 'c': 400}
d2 = {'a': 3, 'b': 200, 'd': 400}
combine_values(d1, d2) # {'a': [1, 3], 'b': ['foo', 200], 'c': [400], 'd': [400]}
```
---
title: combine_values
tags: dictionary,intermediate
firstSeen: 2021-03-07T12:30:47+02:00
lastUpdated: 2021-04-04T14:32:35+03:00
---
Combines two or more dictionaries, creating a list of values for each key.
- Create a new `collections.defaultdict` with `list` as the default value for each key and loop over `dicts`.
- Use `dict.append()` to map the values of the dictionary to keys.
- Use `dict()` to convert the `collections.defaultdict` to a regular dictionary.
```py
from collections import defaultdict
def combine_values(*dicts):
res = defaultdict(list)
for d in dicts:
for key in d:
res[key].append(d[key])
return dict(res)
```
```py
d1 = {'a': 1, 'b': 'foo', 'c': 400}
d2 = {'a': 3, 'b': 200, 'd': 400}
combine_values(d1, d2) # {'a': [1, 3], 'b': ['foo', 200], 'c': [400], 'd': [400]}
```

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@ -1,6 +1,8 @@
---
title: compact
tags: list,beginner
firstSeen: 2018-01-19T12:17:06+02:00
lastUpdated: 2020-11-02T19:27:07+02:00
---
Removes falsy values from a list.

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---
title: compose
tags: function,advanced
---
Performs right-to-left function composition.
- Use `functools.reduce()` to perform right-to-left function composition.
- The last (rightmost) function can accept one or more arguments; the remaining functions must be unary.
```py
from functools import reduce
def compose(*fns):
return reduce(lambda f, g: lambda *args: f(g(*args)), fns)
```
```py
add5 = lambda x: x + 5
multiply = lambda x, y: x * y
multiply_and_add_5 = compose(add5, multiply)
multiply_and_add_5(5, 2) # 15
```
---
title: compose
tags: function,advanced
firstSeen: 2020-01-02T15:51:20+02:00
lastUpdated: 2020-11-02T19:27:07+02:00
---
Performs right-to-left function composition.
- Use `functools.reduce()` to perform right-to-left function composition.
- The last (rightmost) function can accept one or more arguments; the remaining functions must be unary.
```py
from functools import reduce
def compose(*fns):
return reduce(lambda f, g: lambda *args: f(g(*args)), fns)
```
```py
add5 = lambda x: x + 5
multiply = lambda x, y: x * y
multiply_and_add_5 = compose(add5, multiply)
multiply_and_add_5(5, 2) # 15
```

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---
title: compose_right
tags: function,advanced
---
Performs left-to-right function composition.
- Use `functools.reduce()` to perform left-to-right function composition.
- The first (leftmost) function can accept one or more arguments; the remaining functions must be unary.
```py
from functools import reduce
def compose_right(*fns):
return reduce(lambda f, g: lambda *args: g(f(*args)), fns)
```
```py
add = lambda x, y: x + y
square = lambda x: x * x
add_and_square = compose_right(add, square)
add_and_square(1, 2) # 9
```
---
title: compose_right
tags: function,advanced
firstSeen: 2020-01-02T15:51:26+02:00
lastUpdated: 2020-11-02T19:27:07+02:00
---
Performs left-to-right function composition.
- Use `functools.reduce()` to perform left-to-right function composition.
- The first (leftmost) function can accept one or more arguments; the remaining functions must be unary.
```py
from functools import reduce
def compose_right(*fns):
return reduce(lambda f, g: lambda *args: g(f(*args)), fns)
```
```py
add = lambda x, y: x + y
square = lambda x: x * x
add_and_square = compose_right(add, square)
add_and_square(1, 2) # 9
```

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@ -1,6 +1,8 @@
---
title: count_by
tags: list,intermediate
firstSeen: 2018-02-07T10:33:47+02:00
lastUpdated: 2020-11-02T19:27:07+02:00
---
Groups the elements of a list based on the given function and returns the count of elements in each group.

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@ -1,6 +1,8 @@
---
title: count_occurrences
tags: list,beginner
firstSeen: 2021-01-10T00:00:36+02:00
lastUpdated: 2021-01-10T00:00:36+02:00
---
Counts the occurrences of a value in a list.

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---
title: cumsum
tags: list,intermediate
---
Creates a list of partial sums.
- Use `itertools.accumulate()` to create the accumulated sum for each element.
- Use `list()` to convert the result into a list.
```py
from itertools import accumulate
def cumsum(lst):
return list(accumulate(lst))
```
```py
cumsum(range(0, 15, 3)) # [0, 3, 9, 18, 30]
```
---
title: cumsum
tags: list,intermediate
firstSeen: 2021-01-13T23:30:41+02:00
lastUpdated: 2021-01-13T23:30:41+02:00
---
Creates a list of partial sums.
- Use `itertools.accumulate()` to create the accumulated sum for each element.
- Use `list()` to convert the result into a list.
```py
from itertools import accumulate
def cumsum(lst):
return list(accumulate(lst))
```
```py
cumsum(range(0, 15, 3)) # [0, 3, 9, 18, 30]
```

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---
title: curry
tags: function,intermediate
---
Curries a function.
- Use `functools.partial()` to return a new partial object which behaves like `fn` with the given arguments, `args`, partially applied.
```py
from functools import partial
def curry(fn, *args):
return partial(fn, *args)
```
```py
add = lambda x, y: x + y
add10 = curry(add, 10)
add10(20) # 30
```
---
title: curry
tags: function,intermediate
firstSeen: 2020-01-02T16:14:50+02:00
lastUpdated: 2020-11-02T19:27:07+02:00
---
Curries a function.
- Use `functools.partial()` to return a new partial object which behaves like `fn` with the given arguments, `args`, partially applied.
```py
from functools import partial
def curry(fn, *args):
return partial(fn, *args)
```
```py
add = lambda x, y: x + y
add10 = curry(add, 10)
add10(20) # 30
```

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@ -1,6 +1,8 @@
---
title: daterange
tags: date,intermediate
firstSeen: 2020-10-28T16:19:14+02:00
lastUpdated: 2021-01-07T23:30:28+02:00
---
Creates a list of dates between `start` (inclusive) and `end` (not inclusive).

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@ -1,6 +1,8 @@
---
title: days_ago
tags: date,intermediate
firstSeen: 2020-10-28T16:19:30+02:00
lastUpdated: 2020-10-28T16:19:30+02:00
---
Calculates the date of `n` days ago from today.

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@ -1,6 +1,8 @@
---
title: days_diff
tags: date,beginner
firstSeen: 2020-10-28T16:19:39+02:00
lastUpdated: 2020-10-28T16:19:39+02:00
---
Calculates the day difference between two dates.

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@ -1,6 +1,8 @@
---
title: days_from_now
tags: date,intermediate
firstSeen: 2020-10-28T16:19:51+02:00
lastUpdated: 2020-10-28T16:19:51+02:00
---
Calculates the date of `n` days from today.

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@ -1,6 +1,8 @@
---
title: decapitalize
tags: string,intermediate
firstSeen: 2018-02-01T10:19:59+02:00
lastUpdated: 2020-11-02T19:27:53+02:00
---
Decapitalizes the first letter of a string.

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@ -1,6 +1,8 @@
---
title: deep_flatten
tags: list,recursion,intermediate
firstSeen: 2018-01-16T16:54:14+02:00
lastUpdated: 2020-12-29T19:53:45+02:00
---
Deep flattens a list.

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@ -1,6 +1,8 @@
---
title: degrees_to_rads
tags: math,beginner
firstSeen: 2019-10-15T14:31:11+03:00
lastUpdated: 2020-11-02T19:27:53+02:00
---
Converts an angle from degrees to radians.

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@ -1,20 +1,22 @@
---
title: delay
tags: function,intermediate
---
Invokes the provided function after `ms` milliseconds.
- Use `time.sleep()` to delay the execution of `fn` by `ms / 1000` seconds.
```py
from time import sleep
def delay(fn, ms, *args):
sleep(ms / 1000)
return fn(*args)
```
```py
delay(lambda x: print(x), 1000, 'later') # prints 'later' after one second
```
---
title: delay
tags: function,intermediate
firstSeen: 2020-01-02T16:24:51+02:00
lastUpdated: 2020-11-02T19:27:53+02:00
---
Invokes the provided function after `ms` milliseconds.
- Use `time.sleep()` to delay the execution of `fn` by `ms / 1000` seconds.
```py
from time import sleep
def delay(fn, ms, *args):
sleep(ms / 1000)
return fn(*args)
```
```py
delay(lambda x: print(x), 1000, 'later') # prints 'later' after one second
```

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@ -1,6 +1,8 @@
---
title: dict_to_list
tags: dictionary,list,intermediate
firstSeen: 2020-10-16T21:24:14+03:00
lastUpdated: 2020-11-02T19:27:53+02:00
---
Converts a dictionary to a list of tuples.

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@ -1,6 +1,8 @@
---
title: difference
tags: list,beginner
firstSeen: 2018-01-20T16:16:44+02:00
lastUpdated: 2020-11-02T19:27:53+02:00
---
Calculates the difference between two iterables, without filtering duplicate values.

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@ -1,6 +1,8 @@
---
title: difference_by
tags: list,function,intermediate
firstSeen: 2018-02-08T15:59:27+02:00
lastUpdated: 2020-11-02T19:27:53+02:00
---
Returns the difference between two lists, after applying the provided function to each list element of both.

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@ -1,6 +1,8 @@
---
title: digitize
tags: math,list,beginner
firstSeen: 2019-08-20T13:00:27+03:00
lastUpdated: 2020-09-15T16:13:06+03:00
---
Converts a number to a list of digits.

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@ -1,20 +1,22 @@
---
title: drop
tags: list,beginner
---
Returns a list with `n` elements removed from the left.
- Use slice notation to remove the specified number of elements from the left.
- Omit the last argument, `n`, to use a default value of `1`.
```py
def drop(a, n = 1):
return a[n:]
```
```py
drop([1, 2, 3]) # [2, 3]
drop([1, 2, 3], 2) # [3]
drop([1, 2, 3], 42) # []
```
---
title: drop
tags: list,beginner
firstSeen: 2020-03-10T21:59:41+02:00
lastUpdated: 2020-11-02T19:27:53+02:00
---
Returns a list with `n` elements removed from the left.
- Use slice notation to remove the specified number of elements from the left.
- Omit the last argument, `n`, to use a default value of `1`.
```py
def drop(a, n = 1):
return a[n:]
```
```py
drop([1, 2, 3]) # [2, 3]
drop([1, 2, 3], 2) # [3]
drop([1, 2, 3], 42) # []
```

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@ -1,20 +1,22 @@
---
title: drop_right
tags: list,beginner
---
Returns a list with `n` elements removed from the right.
- Use slice notation to remove the specified number of elements from the right.
- Omit the last argument, `n`, to use a default value of `1`.
```py
def drop_right(a, n = 1):
return a[:-n]
```
```py
drop_right([1, 2, 3]) # [1, 2]
drop_right([1, 2, 3], 2) # [1]
drop_right([1, 2, 3], 42) # []
```
---
title: drop_right
tags: list,beginner
firstSeen: 2020-03-10T21:59:41+02:00
lastUpdated: 2020-11-02T19:27:53+02:00
---
Returns a list with `n` elements removed from the right.
- Use slice notation to remove the specified number of elements from the right.
- Omit the last argument, `n`, to use a default value of `1`.
```py
def drop_right(a, n = 1):
return a[:-n]
```
```py
drop_right([1, 2, 3]) # [1, 2]
drop_right([1, 2, 3], 2) # [1]
drop_right([1, 2, 3], 42) # []
```

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@ -1,6 +1,8 @@
---
title: every
tags: list,intermediate
firstSeen: 2019-08-20T11:34:24+03:00
lastUpdated: 2020-11-02T19:27:53+02:00
---
Checks if the provided function returns `True` for every element in the list.

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@ -1,6 +1,8 @@
---
title: every_nth
tags: list,beginner
firstSeen: 2019-08-20T13:10:12+03:00
lastUpdated: 2020-11-02T19:27:53+02:00
---
Returns every `nth` element in a list.

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@ -1,6 +1,8 @@
---
title: factorial
tags: math,recursion,beginner
firstSeen: 2018-01-27T07:29:56+02:00
lastUpdated: 2020-09-15T16:13:06+03:00
---
Calculates the factorial of a number.

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@ -1,18 +1,20 @@
---
title: fahrenheit_to_celsius
tags: math,beginner
unlisted: true
---
Converts Fahrenheit to Celsius.
- Follow the conversion formula `C = (F - 32) * 5/9`.
```py
def fahrenheit_to_celsius(degrees):
return ((degrees - 32) * 5/9)
```
```py
fahrenheit_to_celsius(77) # 25.0
```
---
title: fahrenheit_to_celsius
tags: math,beginner
unlisted: true
firstSeen: 2020-04-05T12:29:03+03:00
lastUpdated: 2021-01-04T12:47:04+02:00
---
Converts Fahrenheit to Celsius.
- Follow the conversion formula `C = (F - 32) * 5/9`.
```py
def fahrenheit_to_celsius(degrees):
return ((degrees - 32) * 5/9)
```
```py
fahrenheit_to_celsius(77) # 25.0
```

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@ -1,24 +1,26 @@
---
title: fibonacci
tags: math,list,intermediate
---
Generates a list, containing the Fibonacci sequence, up until the nth term.
- Starting with `0` and `1`, use `list.append()` to add the sum of the last two numbers of the list to the end of the list, until the length of the list reaches `n`.
- If `n` is less or equal to `0`, return a list containing `0`.
```py
def fibonacci(n):
if n <= 0:
return [0]
sequence = [0, 1]
while len(sequence) <= n:
next_value = sequence[len(sequence) - 1] + sequence[len(sequence) - 2]
sequence.append(next_value)
return sequence
```
```py
fibonacci(7) # [0, 1, 1, 2, 3, 5, 8, 13]
```
---
title: fibonacci
tags: math,list,intermediate
firstSeen: 2018-10-06T06:06:33+03:00
lastUpdated: 2020-11-02T19:27:53+02:00
---
Generates a list, containing the Fibonacci sequence, up until the nth term.
- Starting with `0` and `1`, use `list.append()` to add the sum of the last two numbers of the list to the end of the list, until the length of the list reaches `n`.
- If `n` is less or equal to `0`, return a list containing `0`.
```py
def fibonacci(n):
if n <= 0:
return [0]
sequence = [0, 1]
while len(sequence) <= n:
next_value = sequence[len(sequence) - 1] + sequence[len(sequence) - 2]
sequence.append(next_value)
return sequence
```
```py
fibonacci(7) # [0, 1, 1, 2, 3, 5, 8, 13]
```

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@ -1,6 +1,8 @@
---
title: filter_non_unique
tags: list,beginner
firstSeen: 2019-08-20T13:13:51+03:00
lastUpdated: 2020-11-02T19:27:53+02:00
---
Creates a list with the non-unique values filtered out.

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@ -1,6 +1,8 @@
---
title: filter_unique
tags: list,beginner
firstSeen: 2019-10-02T20:06:24+03:00
lastUpdated: 2020-11-02T19:27:53+02:00
---
Creates a list with the unique values filtered out.

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@ -1,17 +1,19 @@
---
title: find
tags: list,beginner
---
Finds the value of the first element in the given list that satisfies the provided testing function.
- Use a list comprehension and `next()` to return the first element in `lst` for which `fn` returns `True`.
```py
def find(lst, fn):
return next(x for x in lst if fn(x))
```
```py
find([1, 2, 3, 4], lambda n: n % 2 == 1) # 1
```
---
title: find
tags: list,beginner
firstSeen: 2020-03-10T22:38:48+02:00
lastUpdated: 2020-11-02T19:27:53+02:00
---
Finds the value of the first element in the given list that satisfies the provided testing function.
- Use a list comprehension and `next()` to return the first element in `lst` for which `fn` returns `True`.
```py
def find(lst, fn):
return next(x for x in lst if fn(x))
```
```py
find([1, 2, 3, 4], lambda n: n % 2 == 1) # 1
```

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@ -1,17 +1,19 @@
---
title: find_index
tags: list,intermediate
---
Finds the index of the first element in the given list that satisfies the provided testing function.
- Use a list comprehension, `enumerate()` and `next()` to return the index of the first element in `lst` for which `fn` returns `True`.
```py
def find_index(lst, fn):
return next(i for i, x in enumerate(lst) if fn(x))
```
```py
find_index([1, 2, 3, 4], lambda n: n % 2 == 1) # 0
```
---
title: find_index
tags: list,intermediate
firstSeen: 2020-03-10T22:38:48+02:00
lastUpdated: 2020-11-02T19:27:53+02:00
---
Finds the index of the first element in the given list that satisfies the provided testing function.
- Use a list comprehension, `enumerate()` and `next()` to return the index of the first element in `lst` for which `fn` returns `True`.
```py
def find_index(lst, fn):
return next(i for i, x in enumerate(lst) if fn(x))
```
```py
find_index([1, 2, 3, 4], lambda n: n % 2 == 1) # 0
```

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@ -1,6 +1,8 @@
---
title: find_index_of_all
tags: list,intermediate
firstSeen: 2020-10-11T13:45:19+03:00
lastUpdated: 2020-11-02T19:27:53+02:00
---
Finds the indexes of all elements in the given list that satisfy the provided testing function.

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@ -1,6 +1,8 @@
---
title: find_key
tags: dictionary,intermediate
firstSeen: 2020-04-16T19:13:20+03:00
lastUpdated: 2020-11-02T19:27:53+02:00
---
Finds the first key in the provided dictionary that has the given value.

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@ -1,6 +1,8 @@
---
title: find_keys
tags: dictionary,intermediate
firstSeen: 2020-04-16T19:17:13+03:00
lastUpdated: 2020-11-02T19:27:53+02:00
---
Finds all keys in the provided dictionary that have the given value.

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@ -1,17 +1,19 @@
---
title: find_last
tags: list,beginner
---
Finds the value of the last element in the given list that satisfies the provided testing function.
- Use a list comprehension and `next()` to return the last element in `lst` for which `fn` returns `True`.
```py
def find_last(lst, fn):
return next(x for x in lst[::-1] if fn(x))
```
```py
find_last([1, 2, 3, 4], lambda n: n % 2 == 1) # 3
```
---
title: find_last
tags: list,beginner
firstSeen: 2020-03-10T22:38:48+02:00
lastUpdated: 2020-11-02T19:27:53+02:00
---
Finds the value of the last element in the given list that satisfies the provided testing function.
- Use a list comprehension and `next()` to return the last element in `lst` for which `fn` returns `True`.
```py
def find_last(lst, fn):
return next(x for x in lst[::-1] if fn(x))
```
```py
find_last([1, 2, 3, 4], lambda n: n % 2 == 1) # 3
```

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@ -1,17 +1,19 @@
---
title: find_last_index
tags: list,beginner
---
Finds the index of the last element in the given list that satisfies the provided testing function.
- Use a list comprehension, `enumerate()` and `next()` to return the index of the last element in `lst` for which `fn` returns `True`.
```py
def find_last_index(lst, fn):
return len(lst) - 1 - next(i for i, x in enumerate(lst[::-1]) if fn(x))
```
```py
find_last_index([1, 2, 3, 4], lambda n: n % 2 == 1) # 2
```
---
title: find_last_index
tags: list,beginner
firstSeen: 2020-03-10T22:38:48+02:00
lastUpdated: 2020-11-02T19:27:53+02:00
---
Finds the index of the last element in the given list that satisfies the provided testing function.
- Use a list comprehension, `enumerate()` and `next()` to return the index of the last element in `lst` for which `fn` returns `True`.
```py
def find_last_index(lst, fn):
return len(lst) - 1 - next(i for i, x in enumerate(lst[::-1]) if fn(x))
```
```py
find_last_index([1, 2, 3, 4], lambda n: n % 2 == 1) # 2
```

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@ -1,6 +1,8 @@
---
title: find_parity_outliers
tags: list,math,intermediate
firstSeen: 2020-01-08T18:54:35+02:00
lastUpdated: 2020-11-02T19:27:53+02:00
---
Finds the items that are parity outliers in a given list.

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@ -1,6 +1,8 @@
---
title: flatten
tags: list,intermediate
firstSeen: 2019-09-19T15:46:10+03:00
lastUpdated: 2020-11-02T19:27:53+02:00
---
Flattens a list of lists once.

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@ -1,18 +1,20 @@
---
title: for_each
tags: list,beginner
---
Executes the provided function once for each list element.
- Use a `for` loop to execute `fn` for each element in `itr`.
```py
def for_each(itr, fn):
for el in itr:
fn(el)
```
```py
for_each([1, 2, 3], print) # 1 2 3
```
---
title: for_each
tags: list,beginner
firstSeen: 2020-03-15T12:54:08+02:00
lastUpdated: 2020-09-15T16:13:06+03:00
---
Executes the provided function once for each list element.
- Use a `for` loop to execute `fn` for each element in `itr`.
```py
def for_each(itr, fn):
for el in itr:
fn(el)
```
```py
for_each([1, 2, 3], print) # 1 2 3
```

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@ -1,18 +1,20 @@
---
title: for_each_right
tags: list,beginner
---
Executes the provided function once for each list element, starting from the list's last element.
- Use a `for` loop in combination with slice notation to execute `fn` for each element in `itr`, starting from the last one.
```py
def for_each_right(itr, fn):
for el in itr[::-1]:
fn(el)
```
```py
for_each_right([1, 2, 3], print) # 3 2 1
```
---
title: for_each_right
tags: list,beginner
firstSeen: 2020-03-15T12:54:08+02:00
lastUpdated: 2020-09-15T16:13:06+03:00
---
Executes the provided function once for each list element, starting from the list's last element.
- Use a `for` loop in combination with slice notation to execute `fn` for each element in `itr`, starting from the last one.
```py
def for_each_right(itr, fn):
for el in itr[::-1]:
fn(el)
```
```py
for_each_right([1, 2, 3], print) # 3 2 1
```

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@ -1,23 +1,25 @@
---
title: frequencies
tags: list,intermediate
---
Creates a dictionary with the unique values of a list as keys and their frequencies as the values.
- Use `collections.defaultdict()` to store the frequencies of each unique element.
- Use `dict()` to return a dictionary with the unique elements of the list as keys and their frequencies as the values.
```py
from collections import defaultdict
def frequencies(lst):
freq = defaultdict(int)
for val in lst:
freq[val] += 1
return dict(freq)
```
```py
frequencies(['a', 'b', 'a', 'c', 'a', 'a', 'b']) # { 'a': 4, 'b': 2, 'c': 1 }
```
---
title: frequencies
tags: list,intermediate
firstSeen: 2020-03-15T12:54:08+02:00
lastUpdated: 2020-11-02T19:27:53+02:00
---
Creates a dictionary with the unique values of a list as keys and their frequencies as the values.
- Use `collections.defaultdict()` to store the frequencies of each unique element.
- Use `dict()` to return a dictionary with the unique elements of the list as keys and their frequencies as the values.
```py
from collections import defaultdict
def frequencies(lst):
freq = defaultdict(int)
for val in lst:
freq[val] += 1
return dict(freq)
```
```py
frequencies(['a', 'b', 'a', 'c', 'a', 'a', 'b']) # { 'a': 4, 'b': 2, 'c': 1 }
```

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@ -1,6 +1,8 @@
---
title: from_iso_date
tags: date,intermediate
firstSeen: 2020-10-28T16:20:04+02:00
lastUpdated: 2021-01-07T23:30:28+02:00
---
Converts a date from its ISO-8601 representation.

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@ -1,6 +1,8 @@
---
title: gcd
tags: math,beginner
firstSeen: 2018-01-08T16:26:35+02:00
lastUpdated: 2020-09-15T16:13:06+03:00
---
Calculates the greatest common divisor of a list of numbers.

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@ -1,6 +1,8 @@
---
title: geometric_progression
tags: math,list,intermediate
firstSeen: 2020-10-04T12:19:28+03:00
lastUpdated: 2020-11-02T19:28:05+02:00
---
Initializes a list containing the numbers in the specified range where `start` and `end` are inclusive and the ratio between two terms is `step`.

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@ -1,6 +1,8 @@
---
title: get
tags: dictionary,list,intermediate
firstSeen: 2020-10-28T12:21:39+02:00
lastUpdated: 2020-10-28T12:21:39+02:00
---
Retrieves the value of the nested key indicated by the given selector list from a dictionary or list.

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@ -1,6 +1,8 @@
---
title: group_by
tags: list,dictionary,intermediate
firstSeen: 2019-08-20T13:29:00+03:00
lastUpdated: 2020-11-02T19:28:05+02:00
---
Groups the elements of a list based on the given function.

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@ -1,19 +1,21 @@
---
title: hamming_distance
tags: math,intermediate
---
Calculates the Hamming distance between two values.
- Use the XOR operator (`^`) to find the bit difference between the two numbers.
- Use `bin()` to convert the result to a binary string.
- Convert the string to a list and use `count()` of `str` class to count and return the number of `1`s in it.
```py
def hamming_distance(a, b):
return bin(a ^ b).count('1')
```
```py
hamming_distance(2, 3) # 1
```
---
title: hamming_distance
tags: math,intermediate
firstSeen: 2021-01-17T13:04:06+02:00
lastUpdated: 2021-02-18T14:22:25+02:00
---
Calculates the Hamming distance between two values.
- Use the XOR operator (`^`) to find the bit difference between the two numbers.
- Use `bin()` to convert the result to a binary string.
- Convert the string to a list and use `count()` of `str` class to count and return the number of `1`s in it.
```py
def hamming_distance(a, b):
return bin(a ^ b).count('1')
```
```py
hamming_distance(2, 3) # 1
```

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@ -1,6 +1,8 @@
---
title: has_duplicates
tags: list,beginner
firstSeen: 2018-04-01T11:03:09+03:00
lastUpdated: 2020-11-02T19:28:05+02:00
---
Checks if there are duplicate values in a flat list.

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@ -1,22 +1,24 @@
---
title: have_same_contents
tags: list,intermediate
---
Checks if two lists contain the same elements regardless of order.
- Use `set()` on the combination of both lists to find the unique values.
- Iterate over them with a `for` loop comparing the `count()` of each unique value in each list.
- Return `False` if the counts do not match for any element, `True` otherwise.
```py
def have_same_contents(a, b):
for v in set(a + b):
if a.count(v) != b.count(v):
return False
return True
```
```py
have_same_contents([1, 2, 4], [2, 4, 1]) # True
```
---
title: have_same_contents
tags: list,intermediate
firstSeen: 2020-03-15T12:54:08+02:00
lastUpdated: 2020-11-02T19:28:05+02:00
---
Checks if two lists contain the same elements regardless of order.
- Use `set()` on the combination of both lists to find the unique values.
- Iterate over them with a `for` loop comparing the `count()` of each unique value in each list.
- Return `False` if the counts do not match for any element, `True` otherwise.
```py
def have_same_contents(a, b):
for v in set(a + b):
if a.count(v) != b.count(v):
return False
return True
```
```py
have_same_contents([1, 2, 4], [2, 4, 1]) # True
```

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@ -1,6 +1,8 @@
---
title: head
tags: list,beginner
firstSeen: 2019-08-20T14:08:52+03:00
lastUpdated: 2020-09-15T16:13:06+03:00
---
Returns the head of a list.

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@ -1,6 +1,8 @@
---
title: hex_to_rgb
tags: string,math,intermediate
firstSeen: 2020-09-13T01:08:21+03:00
lastUpdated: 2020-09-15T16:13:06+03:00
---
Converts a hexadecimal color code to a tuple of integers corresponding to its RGB components.

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@ -1,6 +1,8 @@
---
title: in_range
tags: math,beginner
firstSeen: 2019-08-20T13:41:40+03:00
lastUpdated: 2020-09-15T16:13:06+03:00
---
Checks if the given number falls within the given range.

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@ -1,22 +1,24 @@
---
title: includes_all
tags: list,intermediate
---
Checks if all the elements in `values` are included in `lst`.
- Check if every value in `values` is contained in `lst` using a `for` loop.
- Return `False` if any one value is not found, `True` otherwise.
```py
def includes_all(lst, values):
for v in values:
if v not in lst:
return False
return True
```
```py
includes_all([1, 2, 3, 4], [1, 4]) # True
includes_all([1, 2, 3, 4], [1, 5]) # False
```
---
title: includes_all
tags: list,intermediate
firstSeen: 2020-03-15T12:54:08+02:00
lastUpdated: 2020-11-02T19:28:05+02:00
---
Checks if all the elements in `values` are included in `lst`.
- Check if every value in `values` is contained in `lst` using a `for` loop.
- Return `False` if any one value is not found, `True` otherwise.
```py
def includes_all(lst, values):
for v in values:
if v not in lst:
return False
return True
```
```py
includes_all([1, 2, 3, 4], [1, 4]) # True
includes_all([1, 2, 3, 4], [1, 5]) # False
```

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@ -1,22 +1,24 @@
---
title: includes_any
tags: list,intermediate
---
Checks if any element in `values` is included in `lst`.
- Check if any value in `values` is contained in `lst` using a `for` loop.
- Return `True` if any one value is found, `False` otherwise.
```py
def includes_any(lst, values):
for v in values:
if v in lst:
return True
return False
```
```py
includes_any([1, 2, 3, 4], [2, 9]) # True
includes_any([1, 2, 3, 4], [8, 9]) # False
```
---
title: includes_any
tags: list,intermediate
firstSeen: 2020-03-15T12:54:08+02:00
lastUpdated: 2020-11-02T19:28:05+02:00
---
Checks if any element in `values` is included in `lst`.
- Check if any value in `values` is contained in `lst` using a `for` loop.
- Return `True` if any one value is found, `False` otherwise.
```py
def includes_any(lst, values):
for v in values:
if v in lst:
return True
return False
```
```py
includes_any([1, 2, 3, 4], [2, 9]) # True
includes_any([1, 2, 3, 4], [8, 9]) # False
```

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@ -1,6 +1,8 @@
---
title: index_of_all
tags: list,intermediate
firstSeen: 2020-10-11T13:40:42+03:00
lastUpdated: 2020-10-11T13:45:19+03:00
---
Returns a list of indexes of all the occurrences of an element in a list.

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@ -1,6 +1,8 @@
---
title: initial
tags: list,beginner
firstSeen: 2019-08-20T14:08:52+03:00
lastUpdated: 2020-11-02T19:28:05+02:00
---
Returns all the elements of a list except the last one.

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@ -1,6 +1,8 @@
---
title: initialize_2d_list
tags: list,intermediate
firstSeen: 2019-10-25T10:11:51+03:00
lastUpdated: 2020-11-02T19:28:05+02:00
---
Initializes a 2D list of given width and height and value.

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@ -1,6 +1,8 @@
---
title: initialize_list_with_range
tags: list,beginner
firstSeen: 2019-08-20T15:21:41+03:00
lastUpdated: 2020-11-02T19:28:05+02:00
---
Initializes a list containing the numbers in the specified range where `start` and `end` are inclusive with their common difference `step`.

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@ -1,6 +1,8 @@
---
title: initialize_list_with_values
tags: list,beginner
firstSeen: 2019-08-20T14:12:06+03:00
lastUpdated: 2020-11-02T19:28:05+02:00
---
Initializes and fills a list with the specified value.

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@ -1,6 +1,8 @@
---
title: intersection
tags: list,beginner
firstSeen: 2019-08-20T15:14:26+03:00
lastUpdated: 2020-11-02T19:28:05+02:00
---
Returns a list of elements that exist in both lists.

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@ -1,6 +1,8 @@
---
title: intersection_by
tags: list,function,intermediate
firstSeen: 2019-08-20T15:16:27+03:00
lastUpdated: 2020-11-02T19:28:05+02:00
---
Returns a list of elements that exist in both lists, after applying the provided function to each list element of both.

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@ -1,6 +1,8 @@
---
title: invert_dictionary
tags: dictionary,intermediate
firstSeen: 2020-04-07T21:13:32+03:00
lastUpdated: 2020-11-02T19:28:05+02:00
---
Inverts a dictionary with unique hashable values.

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@ -1,6 +1,8 @@
---
title: is_anagram
tags: string,intermediate
firstSeen: 2018-10-01T13:17:29+03:00
lastUpdated: 2020-11-02T19:28:05+02:00
---
Checks if a string is an anagram of another string (case-insensitive, ignores spaces, punctuation and special characters).

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@ -1,21 +1,23 @@
---
title: is_contained_in
tags: list,intermediate
---
Checks if the elements of the first list are contained in the second one regardless of order.
- Use `count()` to check if any value in `a` has more occurrences than it has in `b`.
- Return `False` if any such value is found, `True` otherwise.
```py
def is_contained_in(a, b):
for v in set(a):
if a.count(v) > b.count(v):
return False
return True
```
```py
is_contained_in([1, 4], [2, 4, 1]) # True
```
---
title: is_contained_in
tags: list,intermediate
firstSeen: 2020-03-16T19:48:15+02:00
lastUpdated: 2021-01-07T23:30:28+02:00
---
Checks if the elements of the first list are contained in the second one regardless of order.
- Use `count()` to check if any value in `a` has more occurrences than it has in `b`.
- Return `False` if any such value is found, `True` otherwise.
```py
def is_contained_in(a, b):
for v in set(a):
if a.count(v) > b.count(v):
return False
return True
```
```py
is_contained_in([1, 4], [2, 4, 1]) # True
```

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@ -2,6 +2,8 @@
title: is_divisible
tags: math,beginner
unlisted: true
firstSeen: 2019-08-20T14:19:55+03:00
lastUpdated: 2021-01-04T12:47:04+02:00
---
Checks if the first numeric argument is divisible by the second one.

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@ -2,6 +2,8 @@
title: is_even
tags: math,beginner
unlisted: true
firstSeen: 2019-08-20T14:21:44+03:00
lastUpdated: 2021-01-04T12:47:04+02:00
---
Checks if the given number is even.

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@ -2,6 +2,8 @@
title: is_odd
tags: math,beginner
unlisted: true
firstSeen: 2019-08-20T14:21:44+03:00
lastUpdated: 2021-01-04T12:47:04+02:00
---
Checks if the given number is odd.

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@ -1,6 +1,8 @@
---
title: is_prime
tags: math,intermediate
firstSeen: 2020-10-03T18:03:32+03:00
lastUpdated: 2020-11-02T19:28:05+02:00
---
Checks if the provided integer is a prime number.

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@ -1,6 +1,8 @@
---
title: is_weekday
tags: date,beginner
firstSeen: 2020-10-28T16:20:18+02:00
lastUpdated: 2020-11-02T19:28:05+02:00
---
Checks if the given date is a weekday.

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@ -1,6 +1,8 @@
---
title: is_weekend
tags: date,beginner
firstSeen: 2020-10-28T16:20:27+02:00
lastUpdated: 2020-11-02T19:28:05+02:00
---
Checks if the given date is a weekend.

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@ -1,6 +1,8 @@
---
title: kebab
tags: string,regexp,intermediate
firstSeen: 2019-08-21T08:59:54+03:00
lastUpdated: 2020-11-02T19:28:05+02:00
---
Converts a string to kebab case.

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@ -1,6 +1,8 @@
---
title: key_in_dict
tags: dictionary,beginner
firstSeen: 2020-10-16T21:30:49+03:00
lastUpdated: 2020-10-16T21:30:49+03:00
---
Checks if the given key exists in a dictionary.

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@ -1,17 +1,19 @@
---
title: key_of_max
tags: dictionary,beginner
---
Finds the key of the maximum value in a dictionary.
- Use `max()` with the `key` parameter set to `dict.get()` to find and return the key of the maximum value in the given dictionary.
```py
def key_of_max(d):
return max(d, key = d.get)
```
```py
key_of_max({'a':4, 'b':0, 'c':13}) # c
```
---
title: key_of_max
tags: dictionary,beginner
firstSeen: 2021-01-07T23:15:48+02:00
lastUpdated: 2021-01-07T23:15:48+02:00
---
Finds the key of the maximum value in a dictionary.
- Use `max()` with the `key` parameter set to `dict.get()` to find and return the key of the maximum value in the given dictionary.
```py
def key_of_max(d):
return max(d, key = d.get)
```
```py
key_of_max({'a':4, 'b':0, 'c':13}) # c
```

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