#python3 -v

[python3-official]

The halting problem is irrelevant. Any code that takes longer than 20 seconds to run is bloat.

[silvandar]

Baby Learns Python3

I have never touched anything more complex than html to add links. Then I go to one little free teaching event, and now I'm learning coding 👀

Learned how to modify lists, and also how to figure out why the tutorial instructions don't work, what the instruction is actually doing, and how to replicate the effect with slightly different inputs. Am I a Coder yet?

(No, obviously I'm not).

Starting Tuples tomorrow. Hoping to finish the basic tutorials by the weekend, and start on a beginner project next week :)

Any advice on what I should start with?

[darrenpeace-shitpost]

[malinroot]

#malin_root #cppedit #Javascript #developer #java #linux #python3 #vscode #node #github #bash #bug #git #memecoding #cpptutorial #webdev #gamedevelopment #softwaredeveloper #coding #malinroot #android #cplusplusprogramming ] @malin_root #pythoncode #codingdecoding #hacker #programming #programmerlife #programminglife #codinglife #usa (at Москва • Moscow) https://www.instagram.com/p/Cmok63lDC_b/?igshid=NGJjMDIxMWI=

[theinsaneapp]

Python Projects with Tutorials, Video Demos and Source Codes

Read More In Detail: 70+ Python Projects with Tutorials, Video Demos and Source Codes

[penguite]

I want to make a Wikipedia bot. Look, I can dabble in Python and read documentation. There's a "How and why to create a bot" Wikipedia page. How can I *not* do that?

Wikimedia foundation, my beloved, I'm very sorry. I will follow the spirit of the rule. I'll make my bot free and open source. I will undergo any verification process. I might make a procedural article generation or translation bot, not sure yet. Maybe both? Both is good.

[d0nutzgg]

Using Cython to Optimize Python Code

Python is a popular and versatile programming language, but it can be slow compared to other languages like C or C++. This is where Cython comes in. Cython is a tool that allows you to write Python-like code, but compiles it to C, resulting in faster performance.

Cython is particularly useful for scientific and numerical computing, where performance is critical. It can be used to optimize existing Python code, or write new code in Cython for improved performance. In this article, we’ll take a look at how to use Cython and why it’s valuable for Python programmers to learn.

Getting started with Cython is easy. You can install it using pip, the Python package manager, by running the following command in your terminal:

Once you have Cython installed, you can start using it to optimize your Python code. The basic idea is to write your code in Cython, then compile it to C, which can then be imported and used in your Python code.

Here’s a simple example that demonstrates how to use Cython. Let’s say we have a Python function that calculates the sum of squares of numbers in a list:

We can optimize this function by writing it in Cython, then compiling it to C. Here’s the Cython version:

In this example, we’ve added a cdef statement to declare the variables as C data types, which results in faster performance. We can then compile this Cython code to C using the following command in our terminal:

This will generate a .c file that can be imported and used in your Python code.

Cython is a powerful tool that allows you to write Python-like code and optimize it for performance. Whether you’re working on scientific and numerical computing or just looking to improve the performance of your code, Cython is worth learning.

Some great resources for learning Cython include the official documentation, tutorials and example code on the Cython website, and the “Cython: A Guide for Python Programmers” book by Kurt Smith.

Here is the Cython Wiki:

Home

The most widely used Python to C compiler. Contribute to cython/cython development by creating an account on GitHub.

As well as the ReadTheDocs for Cython:

There is also a great tutorial series on using Cython by Pythonist on Youtube

By using Cython, you can take your Python skills to the next level and achieve faster performance for your code. Give it a try and see the results for yourself!

[free-python-code]

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