Star Boy PrudhviVajja

## AmazonSDE.md

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                PrudhviVajja
                / AmazonSDE.md
            
            
              Last active
              August 22, 2020 08:35
            
              
                Amazon SDE Questions
              
          
    This is a list of most frequently asked coding questions for Amazon SDE roles.
Let's get started.
Merge K sorted lists

Leetcode Link
def mergeKLists(self, lists: List[ListNode]) -> ListNode:

  
## Models.csv

          
            Supervised
            Unsupervised
            RL
            DeepLearning

            
              XGBoost
              Clustering
              Model Free RL-TRPO-PPO-A3C
              CNN

            
              Linear Regression
              K-Means
              PG
              NN

            
              Logistic Regression
              Hierarchical clustering
              Q-learning -DQN
              RNN

            
              SVM
              Fuzzy C-Means
              QR-DQN
              LSTM

            
              Desicion Trees
              PCA
              C51
              R-CNN

            
              Random Forests
              SVD
              HER
              GANS

            
              LightGBM
              ICA
              Model Based RL
              Faster-RCNN

            
              KNN
              
              
              Cyclic-GANS

## usecols.ipynb

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                PrudhviVajja
                / usecols.ipynb
            
            
              Created
              October 3, 2020 23:52
            
          
        Loading

      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## simpledecorator.py
def func_name_printer(func):
    def wrapper(*args):
        print("Function that started running is " + func.__name__)
        func(*args)
    return wrapper

def add(*args):
    tot_sum = 0
    for arg in args:
        tot_sum += arg

## interdecorator.py
def func_name_printer(func):
    def wrapper(*args):
        print("Function that started running is " + func.__name__)
        func(*args)
    return wrapper

@func_name_printer
def add(*args):
    tot_sum = 0
    for arg in args:

## returndecorator.py
from functools import wraps

def func_name_printer(func):
    @wraps(func)
    def wrapper(*args):
        """Prints the Name of the function.
        """
        print("Function that started running is " + func.__name__)
        result = func(*args)
        return result # Extra Return

## timeitdecorator.py
from functools import wraps
import time

def timeit(func):
    @wraps(func)
    def wrapper(*args, **kwargs):
        print("Tracking function: " + func.__name__ + "()")
        start = time.time()
        func(*args, **kwargs)
        end = time.time()

## classmethod_example.py
class Datatypes():
    def __init__(self, *args):
        self.args = list(args[0])

    def __call__(self):
        print(self.args)

    @classmethod
    def from_list(cls, arglist):
        args = tuple(arglist)

## property_decorator.py
class Storage:
    """
    MaxLimit of storage is 100
    """
    def __init__(self, maxlimit=0):
        self.limit = 100
        self.maxlimit = maxlimit

    @property
    def maxlimit(self):

## staticmethod.py
class Multiply:
   def __init__(self, numbers):
        self.numbers = numbers

    def __call__(self):
        print(f"multiply {self.numbers}")
        self.checker(self.numbers)
        self.result = 1
        for num in self.numbers:
            self.result *= num
Supervised	Unsupervised	RL	DeepLearning
XGBoost	Clustering	Model Free RL-TRPO-PPO-A3C	CNN
Linear Regression	K-Means	PG	NN
Logistic Regression	Hierarchical clustering	Q-learning -DQN	RNN
SVM	Fuzzy C-Means	QR-DQN	LSTM
Desicion Trees	PCA	C51	R-CNN
Random Forests	SVD	HER	GANS
LightGBM	ICA	Model Based RL	Faster-RCNN
KNN			Cyclic-GANS
	def func_name_printer(func):
	def wrapper(*args):
	print("Function that started running is " + func.__name__)
	func(*args)
	return wrapper

	def add(*args):
	tot_sum = 0
	for arg in args:
	tot_sum += arg
	from functools import wraps

	def func_name_printer(func):
	@wraps(func)
	def wrapper(*args):
	"""Prints the Name of the function.
	"""
	print("Function that started running is " + func.__name__)
	result = func(*args)
	return result # Extra Return
	from functools import wraps
	import time

	def timeit(func):
	@wraps(func)
	def wrapper(args, *kwargs):
	print("Tracking function: " + func.__name__ + "()")
	start = time.time()
	func(args, *kwargs)
	end = time.time()
	class Datatypes():
	def __init__(self, *args):
	self.args = list(args[0])

	def __call__(self):
	print(self.args)

	@classmethod
	def from_list(cls, arglist):
	args = tuple(arglist)
	class Storage:
	"""
	MaxLimit of storage is 100
	"""
	def __init__(self, maxlimit=0):
	self.limit = 100
	self.maxlimit = maxlimit

	@property
	def maxlimit(self):
	class Multiply:
	def __init__(self, numbers):
	self.numbers = numbers

	def __call__(self):
	print(f"multiply {self.numbers}")
	self.checker(self.numbers)
	self.result = 1
	for num in self.numbers:
	self.result *= num