Python Resources - Basic Python, ML, DataScience, BigData

#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

🌟 Build your first chatbot using Python NLTK #python #nltk #chatbot #tutorial

🌟 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

🌟 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

🌟 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

#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

🌟 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

🌟 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

🌟 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

https://medium.com/@ayushi21095/steps-to-deploy-python-django-web-application-on-windows-iis-server-379b2b87fcf9 #python #django #tutorial #steps #deployment

https://medium.com/@Jonny_Waffles/deploy-django-on-iis-def658beae92 #python #django #tutorial #steps #deployment

#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

📚 SQL Notes for Professionals #eBook #SQL

🌟 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

✴️ Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Docker, automatic HTTPS and more. https://github.com/tiangolo/full-stack-fastapi-postgresql #python #FastAPI #webapp #sourcecode #postgresql