Python Resources - Basic Python, ML, DataScience, BigData
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Forwarded from Python Questions
Which of the following are Python reserved words (keywords). Select all that is correct.
Anonymous Poll
50%
default
57%
None
68%
class
58%
and
32%
goto
Forwarded from Python Projects
#PracticeCode: 0027
🎯 FORWARD IF YOU LIKE IT 🎯

Task:
You have to create a program in which two numbers are given as input and you have print True or "Yes" if any of both numbers include 7 or their sum or difference is 7.

Sample :-

input → 7 , 4
output → True

input → 4 , 5
output → False

input → 8 , 1
output → True

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
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Fundamentals of Python: Data Structures - Book by Kenneth Alfred Lambert

The book covers four major aspects of computing:
* Programming basics
* Object-Oriented Programming (OOP)
* Data structures
* Software development life cycle

#eBook #python #dataStructures
AutoFlip: An Open Source Framework for Intelligent Video Reframing

Google released a tool for smart video cropping. Video cropping doesn't seem like a poblem until you release that object that should be in focus can be in different parts of picture. Now there is great attempt to provide one-click solution to cropping.

Interesting part:
#AutoFlip is an application of #MediaPipe framework for building multimodal ML #pipelines.

https://1.bp.blogspot.com/-vd3_cka3jNA/XkSQcFrwh0I/AAAAAAAAFS4/L4RfWj8RSXYy_oR4RrvoU90Vt9SSZUEAwCEwYBhgL/s1600/image1.gif
https://ai.googleblog.com/2020/02/autoflip-open-source-framework-for.html
Github: https://github.com/google/mediapipe/blob/master/mediapipe/docs/autoflip.md
MediaPipe: https://github.com/google/mediapipe/

#Google #GoogleAI #DL #CV
Forwarded from Python Questions
What type of value will result from evaluating the following expression:
(' ', )
Anonymous Quiz
30%
str (string)
37%
tuple
7%
dict
15%
syntax error
10%
unicode (unicode string)
🌟

Essential Math for Machine Learning: Python Edition
Learn the essential mathematical foundations for machine learning and artificial intelligence.


🔥 Free Training 🔥 —————— Pay only if you want a certificate

#python #DataScience #tutorial #beginners #free #maths #machineLearning
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
🌟

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
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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