30-Days-Of-Python
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Asabeneh
Online playground
Great work. Thank you.
I suggest adding links to run code samples in an online playground where users can run the code, edit it, save for later and share with others, etc.
This are some examples:
- Run functions and print output: Run in playground
def greetings (name = 'Peter'):
message = name + ', welcome to Python for Everyone!'
return message
print(greetings())
print(greetings('Asabeneh'))
def generate_full_name (first_name = 'Asabeneh', last_name = 'Yetayeh'):
space = ' '
full_name = first_name + space + last_name
return full_name
print(generate_full_name())
print(generate_full_name('David','Smith'))
def calculate_age (birth_year,current_year = 2021):
age = current_year - birth_year
return age;
print('Age: ', calculate_age(1821))
def weight_of_object (mass, gravity = 9.81):
weight = str(mass * gravity)+ ' N' # the value has to be changed to string first
return weight
print('Weight of an object in Newtons: ', weight_of_object(100)) # 9.81 - average gravity on Earth's surface
print('Weight of an object in Newtons: ', weight_of_object(100, 1.62)) # gravity on the surface of the Moon
- Formatting Date Output Using strftime: Run in playground
from datetime import datetime
new_year = datetime(2020, 1, 1)
print(new_year) # 2020-01-01 00:00:00
day = new_year.day
month = new_year.month
year = new_year.year
hour = new_year.hour
minute = new_year.minute
second = new_year.second
print(day, month, year, hour, minute) #1 1 2020 0 0
print(f'{day}/{month}/{year}, {hour}:{minute}') # 1/1/2020, 0:0
- Statistics Run in playground
import numpy as np
from scipy import stats
np_normal_dis = np.random.normal(5, 0.5, 1000) # mean, standard deviation, number of samples
np_normal_dis
## min, max, mean, median, sd
print('min: ', np.min(np_normal_dis))
print('max: ', np.max(np_normal_dis))
print('mean: ', np.mean(np_normal_dis))
print('median: ', np.median(np_normal_dis))
print('mode: ', stats.mode(np_normal_dis))
print('sd: ', np.std(np_normal_dis))
- DataFrames Run in playground
import pandas as pd
import numpy as np
data = [
{"Name": "Asabeneh", "Country":"Finland","City":"Helsinki"},
{"Name": "David", "Country":"UK","City":"London"},
{"Name": "John", "Country":"Sweden","City":"Stockholm"}]
df = pd.DataFrame(data)
print(df)
If you are interested, I can start a PR to add links for running code snippets in the playground.
This playground is LiveCodes, a feature-rich, open-source, client-side code playground that supports 80+ languages/frameworks. The playground can be shared, exported (e.g. to GitHub gists), deployed (to GitHub Pages) and embedded in web pages using a powerful SDK.
LiveCodes runs completely on the client-side (with no backend). It uses Brython or Pyodide to run Python in the browser.
App: https://livecodes.io/ Docs: https://livecodes.io/docs/ GitHub repo: https://github.com/live-codes/livecodes
Disclosure: I'm the author of LiveCodes.
By the way, LiveCodes also supports JS, TS, React, SQL and many more, in case you want to also use it for 30-Days-Of-JavaScript, 30-Days-Of-React, 30-Days-Of-SQL, 30-Days-Of-HTML, 30DaysOfTypeScript, etc
see all starter templates: https://livecodes.io/?new
By the way, LiveCodes also supports JS, TS, React, SQL and many more, in case you want to also use it for 30-Days-Of-JavaScript, 30-Days-Of-React, 30-Days-Of-SQL, 30-Days-Of-HTML, 30DaysOfTypeScript, etc
see all starter templates: https://livecodes.io/?new
Good idea, if in need of help just let me know.
