Aditya Jain adityajn105

Axis in Dataframes

Axis 0 means along row ( for a particular feature of all samples ) |/
Axis 1 means along columns (of a particular sample for all features ) --->
Remember this by a matrix 2x3 matrix. Here axis 0 has length 2 and axis 1 has length 1

Groupby

Perform aggregation on one or more than one columns
If more than one column in used then it is considered as multi-indexing

df.groupby( columns ).colname.aggfunc()

General Snippets

1. Prime Factors of a number

Step1 : divide number by 2 and add 2 as factor till possible
Step2 : Start k from 3 with step of 2 till sqrt(number), divide number by k and add k as factor till possible
Step3 : Check if number remaining is greater than 1, add that number as another factor.

def getPrimeFactors(n):
    factors = []
    while n%2==0:
        factors.append(2)

1. lambda Function

It is an anonymous function which can be used as a parameter function with sorted/sort,bisect,map,filter,reduce

>> lambda x: x*2;
>> lambda (x,y) : x+y

2. map

It is used to perform some operations on all items of sequence in one line and get a map object is iterable and can be converted to sequence

Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

Markdown Cheatsheet

Heading 1

Markup :  # Heading 1 #

-OR-


	/*
	* Scala - Scalable Language, hybrid functional Programming language
	* Integrates features of OOP and functional languages
	* Compliled on JVM
	* Can use all classes of JAVA SDK and also own custom classes
	* Some different features from JAVA
	* 1. All types are objects
	* 2. Tpye inference
	* 3. Nested Functions

	"""
	Author : Aditya Jain
	Contact: https://adityajn105.github.io
	"""
	import gym
	import numpy as np
	#create game
	game = gym.make('FrozenLake-v0')

	#get game env object

	SQL COMMANDS TYPE
	1. DDL (Data Definition Language)
	Data Definition Language, DDL, is the part of SQL that allows a database user to create and restructure database objects,
	such as the creation or the deletion of a table.
	CREATE TABLE, ALTER TABLE, DROP TABLE, CREATE INDEX, ALTER INDEX, DROP INDEX, CREATE VIEW, DROP VIEW
	2. DML (Data Manipulation Language)
	Data Manipulation Language, DML, is the part of SQL used to manipulate data within objects of a relational database.
	INSERT, UPDATE, DELETE
	3. DQL (Data Query Language)
	SELECT

	### Download a file to Local System from Colab
	from google.colab import files
	with open('example.txt', 'w') as f:
	f.write('some content')
	files.download('example.txt')

	#======================================================================================================
	#upload file to Colab from Local System
	from google.colab import files
	uploaded = files.upload()