#encapsulationinpython resultados de búsqueda
I'm a big fan of using Pydantic for function signatures. Here's a simple example
 
                                            PYTHON is difficult to learn, but not anymore! Introducing "The Ultimate Python ebook "PDF. You will get: • 74+ pages cheatsheet • Save 100+ hours on research And for 48 hrs, it's 100% FREE! To get it, just: 1. Follow (So I can DM you ) 2. Like & Retweet 3. Reply "SEND"
 
                                            Friday brings #Python Let's talk about Protocol today. It allows you to have "duck typing". If an object has the required fields/methods, then the type checker keeps silent and no inheritance is required. It's a powerful thing to build interfaces. Take a look.
 
                                            Python Data Structures Cheat Sheet Save it for later, it comes very handy ⏬
 
                                            Here is some Python 🐍 code using - decorators - callable classes - custom operators - “functional” function composition - arbitrary args and kwargs Here is a breakdown of everything that is going on 👇
 
                                            What are embeddings? They're really just a combination of two pieces of information: - What the LLM thinks about the word - What the LLM thinks about the _position_ of the word in the sequence
 
                                            I was digging through the CPython source code and found out how it uses polymorphism to implement objects. Yes, C is not an object-oriented language, but you can still mimic polymorphism with one clever trick. Let's see how CPython does it. Before learning about the "how," let's…
 
                                            Built a Vending Machine Simulator in Python to practice OOP as a Final project: ● Abstraction with abstract classes ○ Encapsulation with private attributes ● Polymorphism when dispense() behaves differently in Chips & Soda. @a_daneshyar @CodeToInspire #Python #AfghanGirlsCode
 
                                             
                                             
                                             
                                            Instead of list comprehensions, consider #python generator comprehensions (parens instead of square brackets). They use the same syntax, but are lazy. Less space, and can be less computation.
 
                                            Unpacking a sequence into #python variables can use a star to slurp up a bunch of values into a list. And it can be in the middle:
 
                                            Introducing z-ens-normalize A complete port of go-ens-normalize to Zig, providing @ensdomains normalization according to ENSIP-15 specification
 
                                            Feeling like your basic programming knowledge is holding your data visualization skills back? @murtazaali_5253 breaks down the foundational Python concepts needed to build compelling visuals. towardsdatascience.com/data-visualiza…
🐍Python Class Anatomy Almost everything a Python class definition can contain summed up in one image
 
                                            The way Python deals with variables is different from some other languages. You may even have heard some say they're not technically variables Let's visualise what's happening when you create a name in Python and assign data to it with The Box and Label analogy /1
 
                                             
                                            When I started working in python, I got lazy with “single assignment”, and I need to nudge myself about it. You should strive to never reassign or update a variable outside of true iterative calculations in loops. Having all the intermediate calculations still available is…
In Python, every callable/executable object has its bytecode embedded inside it. For instance, a function will have the field __code__ which is an instance of PyCodeObject that in turn contains the bytecode of the function. And, you can replace the function's bytecode at…
 
                                            I see. If you need on the fly packing, I implemented it in tune but never merged: github.com/meta-pytorch/t… You can also find it here by someone else that did it: github.com/mirceamironenc…
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