Forwarded from Deleted Account
I am very happy. I have received Thank you card and Sticker From Raspbery pi. I have participating international translation volunteering at Raspbery pi in UK. Amharic is one of the languages need translation, reviewing and testing.
Get Started With Django: Build a Portfolio App
https://realpython.com/courses/django-portfolio-project/
https://realpython.com/courses/django-portfolio-project/
Realpython
Getting Started With Django: Building a Portfolio App β Real Python
In this course, you'll learn the basics of creating powerful web applications with Django, a Python web framework. You'll build a portfolio website to showcase your web development projects, complete with a fully functioning blog.
Forwarded from Future Data Science(FDS)
10 reasons to learn Python in 2019
Python is a high-level, interpreted, general-purpose programming language that supports both object-oriented programming and structured programming. It is quite versatile and offers a lot of functionalities using standard libraries which allows the easy implementation of complex applications.
https://www.geeksforgeeks.org/10-reasons-to-learn-python-in-2019/amp/
Python is a high-level, interpreted, general-purpose programming language that supports both object-oriented programming and structured programming. It is quite versatile and offers a lot of functionalities using standard libraries which allows the easy implementation of complex applications.
https://www.geeksforgeeks.org/10-reasons-to-learn-python-in-2019/amp/
GeeksforGeeks
10 reasons to learn Python in 2019 - GeeksforGeeks
A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions.
Python and PyQt: Building a GUI Desktop Calculator
https://realpython.com/python-pyqt-gui-calculator/
https://realpython.com/python-pyqt-gui-calculator/
Realpython
Python and PyQt: Building a GUI Desktop Calculator β Real Python
In this tutorial, you'll learn how to create graphical user interface (GUI) applications with Python and PyQt. Once you've covered the basics, you'll build a fully functional desktop calculator that can respond to user events with concrete actions.
SENDING EMAILS IN PYTHON β TUTORIAL WITH CODE EXAMPLES
https://dapythonista.com/2019/10/24/sending-emails-in-python-tutorial-with-code-examples/
https://dapythonista.com/2019/10/24/sending-emails-in-python-tutorial-with-code-examples/
20 useful Python tips and tricks you should know
https://dev.to/duomly/20-useful-python-tips-and-tricks-you-should-know-3h8c
https://dev.to/duomly/20-useful-python-tips-and-tricks-you-should-know-3h8c
A Practical Introduction to Python Lambda Functions
https://levelup.gitconnected.com/a-practical-introduction-to-python-lambda-functions-3b4a0702b6a1
https://levelup.gitconnected.com/a-practical-introduction-to-python-lambda-functions-3b4a0702b6a1
Medium
A Practical Introduction to Python Lambda Functions
In Python, a Lambda Function refers to a small, anonymous function. We call the functions anonymous because technically it has no nameβββ¦
Forwarded from Future Data Science(FDS)
You can choose best python IDE https://realpython.com/python-ides-code-editors-guide/
Realpython
Python IDEs and Code Editors (Guide) β Real Python
Find your perfect Python development setup with this review of Python IDEs and code editors, including recommendations and screen shots.
β
Weekly Coding Challenge at Codwars
www.codewars.com/r/2NaN8A
www.codewars.com/r/2NaN8A
Codewars
Codewars - Achieve mastery through coding practice and developer mentorship
A coding practice website for all programming levels β Join a community of over 3 million developers and improve your coding skills in over 55 programming languages!
β
Coding challenge
Let N is Natural number greater than or equal to 1.
βPrint all prime numbers in between 1 and N.
Input 9
Output: 2 3 5 7
Post Solution
https://t.me/joinchat/H8JEqEojXCb0mUfnlAqbVA
Let N is Natural number greater than or equal to 1.
βPrint all prime numbers in between 1 and N.
Input 9
Output: 2 3 5 7
Post Solution
https://t.me/joinchat/H8JEqEojXCb0mUfnlAqbVA
Forwarded from Future Data Science(FDS)
#NumpyArrayChallenge
β Create python code to save Numpy Array to txt file and then read the file
N.B. the purpose of this challenge is to learn how to save large numpy array to file and then use for machine learning.
Input ([[1, 6, 3, 4], [2, 3, 4,6],[7,8,9,10], [89, 67, 68, 90]])
Expected output:
1 6 3 4
2 3 4 6
7 8 9 10
89 67 68 90
Post your solution https://t.me/joinchat/H8JEqEojXCb0mUfnlAqbVA
β Create python code to save Numpy Array to txt file and then read the file
N.B. the purpose of this challenge is to learn how to save large numpy array to file and then use for machine learning.
Input ([[1, 6, 3, 4], [2, 3, 4,6],[7,8,9,10], [89, 67, 68, 90]])
Expected output:
1 6 3 4
2 3 4 6
7 8 9 10
89 67 68 90
Post your solution https://t.me/joinchat/H8JEqEojXCb0mUfnlAqbVA
Forwarded from Future Data Science(FDS)
Dear all, try our learning platform beta version. We will start the course next week
β οΈNo Database is created in the server right now. It is not functional. Wait till we will fully publish it.
https://www.mefitihe.et/
β οΈNo Database is created in the server right now. It is not functional. Wait till we will fully publish it.
https://www.mefitihe.et/
Forwarded from Future Data Science(FDS)
#Tips
Why NumPy is faster than array list?
β Size:- Numpy data structures take up less space
β Performance:- they have a need for speed and are faster than lists
β Functionality: - SciPy and NumPy have optimized functions such as linear algebra operations built in.
β Memory:- The main benefits of using NumPy arrays should be smaller memory consumption and better runtime behavior.
Why NumPy is faster than array list?
β Size:- Numpy data structures take up less space
β Performance:- they have a need for speed and are faster than lists
β Functionality: - SciPy and NumPy have optimized functions such as linear algebra operations built in.
β Memory:- The main benefits of using NumPy arrays should be smaller memory consumption and better runtime behavior.
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