Forwarded from Python Projects
#PracticeCode: 0028
🎯 FORWARD IF YOU LIKE IT 🎯
Task:
You have to create a program in which a list of numbers is given as input and you to print sum and difference of the maximum and minimum value of the list.
NOTE :- You don't have to use max() and min() inbuilt functions!.
Sample run :-
input → [10, 3, 5, 6]
output → 7
GOOD LUCK!
««« Discuss your solution @python_programmers_club and proper solutions will be added to our Github page »»»
««« Click here for the Solution »»»
🔥Ready to take this challenge? 🔥
#python #practiceCode #samples #interviewQuestions #conditions
🎯 FORWARD IF YOU LIKE IT 🎯
Task:
You have to create a program in which a list of numbers is given as input and you to print sum and difference of the maximum and minimum value of the list.
NOTE :- You don't have to use max() and min() inbuilt functions!.
Sample run :-
input → [10, 3, 5, 6]
output → 7
GOOD LUCK!
««« Discuss your solution @python_programmers_club and proper solutions will be added to our Github page »»»
««« Click here for the Solution »»»
🔥Ready to take this challenge? 🔥
#python #practiceCode #samples #interviewQuestions #conditions
🌟
Mathematics for Machine Learning - by Garrett Thomas
Machine learning uses tools from a variety of mathematical fields. This document is an attempt to
provide a summary of the mathematical background needed for an introductory class in machine
learning, which at UC Berkeley is known as CS 189/289A.
🔥 Free eBook 🔥
#DataScience #ebook #beginners #free #machineLearning
Mathematics for Machine Learning - by Garrett Thomas
Machine learning uses tools from a variety of mathematical fields. This document is an attempt to
provide a summary of the mathematical background needed for an introductory class in machine
learning, which at UC Berkeley is known as CS 189/289A.
🔥 Free eBook 🔥
#DataScience #ebook #beginners #free #machineLearning
🌟
Introduction to Data Science
Data Science is the hottest field of the century. Learn more about why data science, artificial intelligence (AI) and machine learning are revolutionizing the way people do business and research around the world. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.
🔥 Free Training 🔥
#DataScience #tutorial #beginners #free #machineLearning #Course
Introduction to Data Science
Data Science is the hottest field of the century. Learn more about why data science, artificial intelligence (AI) and machine learning are revolutionizing the way people do business and research around the world. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.
🔥 Free Training 🔥
#DataScience #tutorial #beginners #free #machineLearning #Course
cognitiveclass.ai
Data Science 101
The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then…
Forwarded from Python Questions
Which of the following statement(s) is TRUE?
Anonymous Quiz
24%
A hash function takes a message of arbitrary length and generates a fixed length code.
24%
A hash function takes a message of fixed length and generates a code of variable length.
38%
All above
14%
None of the above
🌟
Data Science Tools
Get started with some of the most popular tools for collaborative data science, including RStudio IDE, Jupyter Notebooks, Apache Zeppelin notebooks, and IBM Watson Studio. Use the tools directly on Skills Network Labs, a cloud lab environment that brings powerful open data science tools together so you can analyze, visualize, explore, clean data, run models and create apps.
🔥 Free Training 🔥
#DataScience #tutorial #beginners #free #machineLearning #Course #tools
Data Science Tools
Get started with some of the most popular tools for collaborative data science, including RStudio IDE, Jupyter Notebooks, Apache Zeppelin notebooks, and IBM Watson Studio. Use the tools directly on Skills Network Labs, a cloud lab environment that brings powerful open data science tools together so you can analyze, visualize, explore, clean data, run models and create apps.
🔥 Free Training 🔥
#DataScience #tutorial #beginners #free #machineLearning #Course #tools
cognitiveclass.ai
Data Science Tools
Learn about the most popular data science tools, including how to use them and what their features are.
Forwarded from Python Questions
What is the output of the following program :
print('{0:.2}'.format(1.0 / 3))
print('{0:.2}'.format(1.0 / 3))
Anonymous Quiz
21%
0.333333
36%
0.33
11%
0.333333:-2
32%
Syntax error
Forwarded from Python Projects
#PracticeCode: 0029
🎯 FORWARD IF YOU LIKE IT 🎯
Task:
You have to create a program in which a list of numbers is given as input and you have to print the mean average of all the numbers leaving largest and smallest numbers. If the given list has more then one copy of largest or smallest number than just ignore one copy of that number.
Sample :-
input → [1,2,3,4,500]
output → 3
input → [1,1,6,8,3,10]
output → 4.5
GOOD LUCK!
««« Discuss your solution @python_programmers_club and proper solutions will be added to our Github page »»»
««« Click here for the Solution »»»
🔥Ready to take this challenge? 🔥
#python #practiceCode #samples #interviewQuestions #conditions
🎯 FORWARD IF YOU LIKE IT 🎯
Task:
You have to create a program in which a list of numbers is given as input and you have to print the mean average of all the numbers leaving largest and smallest numbers. If the given list has more then one copy of largest or smallest number than just ignore one copy of that number.
Sample :-
input → [1,2,3,4,500]
output → 3
input → [1,1,6,8,3,10]
output → 4.5
GOOD LUCK!
««« Discuss your solution @python_programmers_club and proper solutions will be added to our Github page »»»
««« Click here for the Solution »»»
🔥Ready to take this challenge? 🔥
#python #practiceCode #samples #interviewQuestions #conditions
🌟
Introduction to Python: Absolute Beginner - By Microsoft
In this course that's perfect for true beginners, learn Python basics and start coding right away.
What you'll learn
* Using Python in Jupyter Notebooks
* Gathering input and manipulating input/output
* Building reusable Functions with parameters and return values
* Decisions and repetition using conditional statements and loops
🔥 Free Training 🔥 —————— Pay only if you want a certificate
#python #tutorial #beginners #free #Course
Introduction to Python: Absolute Beginner - By Microsoft
In this course that's perfect for true beginners, learn Python basics and start coding right away.
What you'll learn
* Using Python in Jupyter Notebooks
* Gathering input and manipulating input/output
* Building reusable Functions with parameters and return values
* Decisions and repetition using conditional statements and loops
🔥 Free Training 🔥 —————— Pay only if you want a certificate
#python #tutorial #beginners #free #Course
🌟
Python Core and Advanced - Master the fundamentals of Python in easy steps
Whether you are a College student learning the fundamentals of Python or a Data Science expert using python to analyze your data or a Web Developer using python frameworks like DJango or a Experienced python developer who wants to fill in the gaps , this course will help you accomplish your goals.
🔥 Free Training 🔥 —————— Pay only if you want a certificate
#python #tutorial #advanced #free #Course
Python Core and Advanced - Master the fundamentals of Python in easy steps
Whether you are a College student learning the fundamentals of Python or a Data Science expert using python to analyze your data or a Web Developer using python frameworks like DJango or a Experienced python developer who wants to fill in the gaps , this course will help you accomplish your goals.
🔥 Free Training 🔥 —————— Pay only if you want a certificate
#python #tutorial #advanced #free #Course
Udemy
Python for beginners
Master the fundamentals of Python while working on various usecases in easy steps
🌟
Data Science Methodology
This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand.
Accordingly, in this course, you will learn:
* The major steps involved in tackling a data science problem.
* The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment.
* How data scientists think!
🔥 Free Training 🔥
#DataScience #tutorial #beginners #free #machineLearning #Course
Data Science Methodology
This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand.
Accordingly, in this course, you will learn:
* The major steps involved in tackling a data science problem.
* The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment.
* How data scientists think!
🔥 Free Training 🔥
#DataScience #tutorial #beginners #free #machineLearning #Course
cognitiveclass.ai
Data Science Methodology
Grab your lab coat, beakers, and pocket calculator ... wait what? Wrong path! Fast forward and get in line with emerging data science methodologies that are in use and are making waves or rather predicting and determining which wave is coming and which one…
Forwarded from Python Projects
#PracticeCode: 0030
🎯 FORWARD IF YOU LIKE IT 🎯
Task:
A list of numbers is given as input. You have to create a program in which you have to print the sum of numbers which do not comes in section between 6 and 7.
Sample Run :-
input → [1,2,2,3]
output → 8
input → [1, 2, 2, 6, 99, 99, 7]
output → 5
GOOD LUCK!
««« Discuss your solution @python_programmers_club and proper solutions will be added to our Github page »»»
««« Click here for the Solution »»»
🔥Ready to take this challenge? 🔥
#python #practiceCode #samples #interviewQuestions #conditions
🎯 FORWARD IF YOU LIKE IT 🎯
Task:
A list of numbers is given as input. You have to create a program in which you have to print the sum of numbers which do not comes in section between 6 and 7.
Sample Run :-
input → [1,2,2,3]
output → 8
input → [1, 2, 2, 6, 99, 99, 7]
output → 5
GOOD LUCK!
««« Discuss your solution @python_programmers_club and proper solutions will be added to our Github page »»»
««« Click here for the Solution »»»
🔥Ready to take this challenge? 🔥
#python #practiceCode #samples #interviewQuestions #conditions
Forwarded from Python Questions
What is the output of this statement
print ((1,2,3) <(1,2,4))
print ((1,2,3) <(1,2,4))
Anonymous Quiz
53%
True
25%
False
4%
None
14%
Error
4%
None of the above
Forwarded from Python Questions
Unlike Python 2,
Python 3 fully supports Unicode.
Python 3 fully supports Unicode.
Anonymous Quiz
48%
Correct
23%
In-correct, both versions fully support unicode.
17%
In-correct, both versions support unicode with some limitation.
12%
Show me the answer
Aspects for choosing ML algorithm. Not nesessary only for Azure pipelines:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-select-algorithms
#machineLearning #algorithm #tips
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-select-algorithms
#machineLearning #algorithm #tips
Docs
How to select a machine learning algorithm - Azure Machine Learning
How to select Azure Machine Learning algorithms for supervised and unsupervised learning in clustering, classification, or regression experiments.
Cheat sheet for choosing ML algorithm:
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-cheat-sheet
#machineLearning #algorithm #tips #cheatSheet
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-cheat-sheet
#machineLearning #algorithm #tips #cheatSheet
Docs
Machine Learning Algorithm Cheat Sheet - designer - Azure Machine Learning
A printable Machine Learning Algorithm Cheat Sheet helps you choose the right algorithm for your predictive model in Azure Machine Learning designer.
Forwarded from Python Questions
#interviewQuestions : 0005
Is Python interpreted or compiled?
A common question: “Is Python interpreted or compiled?” Usually, the asker has a simple model of the world in mind, and as is typical, the world is more complicated.
In the simple model of the world, “compile” means to convert a program in a high-level language into a binary executable full of machine code (CPU instructions). When you compile a C program, this is what happens. The result is a file that your operating system can run for you.
In the simple definition of “interpreted”, executing a program means reading the source code a line at a time, and doing what it says.
Compiling is a more general idea: take a program in one language (or form), and convert it into another language or form.
In Python, the source code is compiled into a much simpler form called bytecode. These are instructions similar in spirit to CPU instructions, but instead of being executed by the CPU, they are executed by software called a virtual machine.
So, if you can explain all this, then you can say its both a compiled and interpreted language.
But, if you want to give a simple and short answer, then say it is a interpreted language.
Is Python interpreted or compiled?
A common question: “Is Python interpreted or compiled?” Usually, the asker has a simple model of the world in mind, and as is typical, the world is more complicated.
In the simple model of the world, “compile” means to convert a program in a high-level language into a binary executable full of machine code (CPU instructions). When you compile a C program, this is what happens. The result is a file that your operating system can run for you.
In the simple definition of “interpreted”, executing a program means reading the source code a line at a time, and doing what it says.
Compiling is a more general idea: take a program in one language (or form), and convert it into another language or form.
In Python, the source code is compiled into a much simpler form called bytecode. These are instructions similar in spirit to CPU instructions, but instead of being executed by the CPU, they are executed by software called a virtual machine.
So, if you can explain all this, then you can say its both a compiled and interpreted language.
But, if you want to give a simple and short answer, then say it is a interpreted language.
Forwarded from Python Questions
Which is faster in performance while searching around a million records plus?
Anonymous Quiz
23%
List
10%
Set
25%
Dict
20%
Tuple
13%
All have the same performance
9%
See the answer