Python Resources - Basic Python, ML, DataScience, BigData

Forwarded from Python Questions

x = (round(4.5) - round(-4.5))

#What is the value of x

Anonymous Quiz

3.55K voters1.06K views05:25

Python Resources - Basic Python, ML, DataScience, BigData

The bare minimum: Django in less than 50 lines of code

#!/usr/bin/env python
import sys
from django.conf import settings

"""
 Usage:
    1. download this file tinydjango.py 
    2. run `pip install django`
    3. run `python tinydjango.py runserver 8000`
    4. open a browser and head to http://localhost:8000 
    5. bananas
"""

DEBUG = False

SECRET_KEY = '41+_$!j&y@zr#9cxdp6m9o3j&6dnk__bq*deii)5w6w744e7a#'

ALLOWED_HOSTS = ['localhost', '127.0.0.1', '[::1]']

settings.configure(
    DEBUG=DEBUG,
    SECRET_KEY=SECRET_KEY,
    ALLOWED_HOSTS=ALLOWED_HOSTS,
    ROOT_URLCONF=__name__,
    MIDDLEWARE_CLASSES=(
        'django.middleware.common.CommonMiddleware',
        'django.middleware.csrf.CsrfViewMiddleware',
        'django.middleware.clickjacking.XFrameOptionsMiddleware',
    ),
)

from django.conf.urls import url
from django.core.wsgi import get_wsgi_application
from django.http import HttpResponse


def index(request):
    return HttpResponse('<html><head></head><body><h1>Hello World</h1></body></html>')


urlpatterns = (
    url(r'^$', index),
)

application = get_wsgi_application()

if __name__ == "__main__":
    from django.core.management import execute_from_command_line
    execute_from_command_line(sys.argv)

https://redd.it/fje66v

The bare minimum: Django in less than 50 lines of code

#!/usr/bin/env python import sys from django.conf import settings """ Usage: 1. download this file tinydjango.py ...

2.41K views13:33

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Python Resources - Basic Python, ML, DataScience, BigData

Forwarded from Python Questions

print(r"\npython")

#What is the output? Explain Why?

Anonymous Quiz

39%

New line and 'python'

3.96K voters1.18K views05:56

Python Resources - Basic Python, ML, DataScience, BigData

🗒

How to use Jupyter Notebooks in 2020

An interesting article, well written

#articles

ljvmiranda921.github.io

How to use Jupyter Notebooks in 2020 (Part 1: The data science landscape)

Love it or hate it, they're here to stay. The field of data science has evolved, and the tools around us begin to change— including Jupyter Notebooks. ...

2.35K viewsedited 06:35

👍 12 👎

Python Resources - Basic Python, ML, DataScience, BigData

# Python Code to copy to Windows Clipboard

 Code

import win32clipboard

# set clipboard data
win32clipboard.OpenClipboard()
win32clipboard.EmptyClipboard()
win32clipboard.SetClipboardText('testing 123')
win32clipboard.CloseClipboard()

# get clipboard data
win32clipboard.OpenClipboard()
data = win32clipboard.GetClipboardData()
win32clipboard.CloseClipboard()
print data

#python #CodeSamples

2.15K views04:57

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Python Resources - Basic Python, ML, DataScience, BigData

Forwarded from Python Questions

print('KLM'.maketrans('KLM', '123'))

What is the output? Explain the function maketrans()

Anonymous Quiz

11%

{65: 49, 66: 50, 67: 51}

26%

{75: 49, 76: 50, 77: 51}

14%

{75: 49, 66: 50, 77: 51}

2.32K voters1.21K views06:02

Python Resources - Basic Python, ML, DataScience, BigData

Check if the file is empty or not

import os

file_path = 'mysample.txt'

# check if size of file is 0
if os.stat(file_path).st_size == 0:
    print('File is empty')
else:
    print('File is not empty')

#python #CodeSamples

2.45K views11:37

👍 12 👎 1

Python Resources - Basic Python, ML, DataScience, BigData

https://youtu.be/oi2-4qiTNy0
#tutorial

YouTube

Extracting Structured Information from Legal Documents - Dissertation Plan

Timestamps:
- Introduction: (0:11)
- Problem Definition (1:37)
- Methodology/Implementation (7:40)
- Work Plan (15:34)
- Risks (17:37)
- Final Words (21:01)

Here is a selection of research papers I'm going through at the moment:

Li Deng and Yang Liu (2018)…

2.44K views06:30

Python Resources - Basic Python, ML, DataScience, BigData

Forwarded from Python Questions

print('iGnani'.translate({'i': '1', 'G': '2', 'n': '3', 'a': '4', 'i': '5'}))

#What is the output. Explain translate()

Anonymous Quiz

3.56K voters1.35K views05:17

Python Resources - Basic Python, ML, DataScience, BigData

The while Loop

while <expr>:
    <statement(s)>
    <break> #will take you out of the loop
    <statements>
    <continue>
    <statements>

<statements> #break will bring you here


Example:
x = 10
 while x > 0:
    x -= 1
    if x == 5:
        break
    if x == 8:
        continue #Don't print when its 8
    print(x)

print("outside loop")

#python #CodeSamples

2.76K views19:47

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Python Resources - Basic Python, ML, DataScience, BigData

Forwarded from Python Questions

print('pyypyypypyppy'.replace('py', 'iG', 3))

#What is the output?

Anonymous Quiz

5.3K voters1.46K views05:48

Python Resources - Basic Python, ML, DataScience, BigData

Class accepting List as argument in init()

class myclass:
    def __init__(self, mylst = []):
        print(mylst)

names = ["hello", "python", "devs", "iGnani"] 
myclass(names)

#python #CodeSamples

2.55K views07:21

👍 11 👎

Python Resources - Basic Python, ML, DataScience, BigData

machine-learning-cheat-sheet.pdf

1.9 MB

Machine Learning Cheat Sheet
Classical equations, diagrams and tricks in machine learning

This cheat sheet is a condensed version of machine learning manual, which contains many classical equations and
diagrams on machine learning, and aims to help you quickly recall knowledge and ideas in machine learning.

#eBook #ML #machineLearning #DataScience #AI #DataMining #DeepLearning #Algorithms #AppliedMathematics

3.52K views08:31

👍 6 👎 1

Python Resources - Basic Python, ML, DataScience, BigData

Pandas SQL Example - Reproducing SQL Queries In Python

In this video on reproducing SQL queries in Python using Pandas library, I am going to show you Pandas SQL examples on how to write pandas code reproducing sql statements.

Using pandas, i will show you how to get sql results in python like 
* grouping and aggregation on multiple columns in pandas, similar to sql groupby clause
* sorting by multiple columns, reproducing sql order by clause
* filter multiple conditions, which involves where conditions with multiple columns

and a lot more...

https://youtu.be/m1jHkL0qZsI

YouTube

Pandas SQL Example - Reproducing SQL Queries In Python

In this video on reproducing SQL queries in Python using Pandas library, I am going to show you Pandas SQL Example on how to write pandas sql statements.

Using pandas, i will show you how to get sql results in python like
* pandas grouping and aggregation…

2.95K views05:03

👍 6 👎

Python Resources - Basic Python, ML, DataScience, BigData

Connecting to Amazon Redshift database and Inserting data

import psycopg2
con=psycopg2.connect(dbname= 'dbname', host='host', port= 'port', user= 'user', password= 'pwd')

#once the above code executes and connection is established
# create a cursor
cur = con.cursor()

#now you can execute select statements
cur.execute("SELECT * FROM employee;")

#Next you need to instruct Psycopg how to fetch your data
cur.fetchall()

#Finally, don't forget to close your cursor & connection
cur.close() 
conn.close()

#python #sampleCode #amazon #redshift

3.01K views05:24

👍 7 👎

Python Resources - Basic Python, ML, DataScience, BigData

»»» Interactive Tools and Lessons «««

👉🏻 Computer Science Circles
👉🏻 How to Think Like a Computer Scientist, Interactive Edition
👉🏻 Interactive tutorials for scientific programming using Python
👉🏻 Problem Solving with Algorithms and Data Structures using Python
👉🏻 Thonny, Python IDE for begginners

#tools #lessons #python

3.06K views16:38

👍 3 👎

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Python Resources - Basic Python, ML, DataScience, BigData

Python for Beginners -
From Microsoft

Even though this course won’t cover everything there is to know about Python, it surely gives you the foundation on programming in Python, starting from common everyday code and scenarios. At the end of the course, you’ll be able to go and learn on your own, for example with docs, tutorials, or books.

#tutorial

3.99K viewsedited 05:26

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Python Resources - Basic Python, ML, DataScience, BigData

Build a RESTful API with Flask - The TDD Way

Part 1
Part 2

#python #tutorial #flask

Digitalocean

How To Build a Python REST API with Fauna and Deploy it to DigitalOcean App Platform | DigitalOcean

Build a REST API with Python, Fauna, and DigitalOcean App Platform.

3.3K views11:30

👍 4 👎 1

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Python Resources - Basic Python, ML, DataScience, BigData

Forwarded from Python Questions

```

print('The sum of {0} and {1} is {2}'.format(5, 10, 15)) ``` What is the output?

Anonymous Quiz

The sum of 0 and 1 is 2

51%

The sum of 5 and 10 is 15

12%

The sum of {0} and {1} is {2}

5.47K voters2.08K views14:49

Python Resources - Basic Python, ML, DataScience, BigData

Python Data Science Handbook - Binder Colab

This repository contains the entire Python Data Science Handbook, in the form of (free!) Jupyter notebooks.

#python #ebook #jupyter #notebook

O’Reilly Online Learning

Python Data Science Handbook

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual... - Selection from Python Data Science Handbook [Book]

3.65K views07:25

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Python Resources - Basic Python, ML, DataScience, BigData