python-interview-questions.pdf
1.2 MB
100 Python Interview Questions and Answers
This book is a practical guide to mastering Python interview preparation. It contains 100 carefully curated questions with clear, concise answers designed in a quick-reference style.
#Python #PythonTips #PythonProgramming
https://t.me/CodeProgrammer
This book is a practical guide to mastering Python interview preparation. It contains 100 carefully curated questions with clear, concise answers designed in a quick-reference style.
#Python #PythonTips #PythonProgramming
https://t.me/CodeProgrammer
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Tip for clean code in Python:
Use Dataclasses for classes that primarily store data. The
#Python #CleanCode #ProgrammingTips #SoftwareDevelopment #Dataclasses #CodeQuality
โโโโโโโโโโโโโโโ
By: @CodeProgrammer โจ
Use Dataclasses for classes that primarily store data. The
@dataclass decorator automatically generates special methods like __init__(), __repr__(), and __eq__(), reducing boilerplate code and making your intent clearer.from dataclasses import dataclass
# --- BEFORE: Using a standard class ---
# A lot of boilerplate code is needed for basic functionality.
class ProductOld:
def __init__(self, name: str, price: float, sku: str):
self.name = name
self.price = price
self.sku = sku
def __repr__(self):
return f"ProductOld(name='{self.name}', price={self.price}, sku='{self.sku}')"
def __eq__(self, other):
if not isinstance(other, ProductOld):
return NotImplemented
return (self.name, self.price, self.sku) == (other.name, other.price, other.sku)
# Example Usage
product_a = ProductOld("Laptop", 1200.00, "LP-123")
product_b = ProductOld("Laptop", 1200.00, "LP-123")
print(product_a) # Output: ProductOld(name='Laptop', price=1200.0, sku='LP-123')
print(product_a == product_b) # Output: True
# --- AFTER: Using a dataclass ---
# The code is concise, readable, and less error-prone.
@dataclass(frozen=True) # frozen=True makes instances immutable
class Product:
name: str
price: float
sku: str
# Example Usage
product_c = Product("Laptop", 1200.00, "LP-123")
product_d = Product("Laptop", 1200.00, "LP-123")
print(product_c) # Output: Product(name='Laptop', price=1200.0, sku='LP-123')
print(product_c == product_d) # Output: True
#Python #CleanCode #ProgrammingTips #SoftwareDevelopment #Dataclasses #CodeQuality
โโโโโโโโโโโโโโโ
By: @CodeProgrammer โจ
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Forwarded from Machine Learning
๐ PyTorch Tutorial for Beginners: Build a Multiple Regression Model from Scratch
๐ Category: DEEP LEARNING
๐ Date: 2025-11-19 | โฑ๏ธ Read time: 14 min read
Dive into PyTorch with this hands-on tutorial for beginners. Learn to build a multiple regression model from the ground up using a 3-layer neural network. This guide provides a practical, step-by-step approach to machine learning with PyTorch, ideal for those new to the framework.
#PyTorch #MachineLearning #NeuralNetwork #Regression #Python
๐ Category: DEEP LEARNING
๐ Date: 2025-11-19 | โฑ๏ธ Read time: 14 min read
Dive into PyTorch with this hands-on tutorial for beginners. Learn to build a multiple regression model from the ground up using a 3-layer neural network. This guide provides a practical, step-by-step approach to machine learning with PyTorch, ideal for those new to the framework.
#PyTorch #MachineLearning #NeuralNetwork #Regression #Python
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Comprehensive Python Cheatsheet.pdf
6.3 MB
Comprehensive Python Cheatsheet
This Comprehensive #Python Cheatsheet brings together core syntax, data structures, functions, #OOP, decorators, regular expressions, libraries, and more โ neatly organized for quick reference and deep understanding.
This Comprehensive #Python Cheatsheet brings together core syntax, data structures, functions, #OOP, decorators, regular expressions, libraries, and more โ neatly organized for quick reference and deep understanding.
https://t.me/CodeProgrammer
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All Cheat Sheets Collection (3).pdf
2.7 MB
Python For Data Science Cheat Sheet
#python #datascience #DataAnalysis
https://t.me/CodeProgrammer
React โฅ๏ธ for more amazing content
#python #datascience #DataAnalysis
https://t.me/CodeProgrammer
React โฅ๏ธ for more amazing content
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Numpy @CodeProgrammer.pdf
2.4 MB
๐จ๐ปโ๐ป This is a long-term project to learn Python and NumPy from scratch. The main task is to handle numerical #data and #arrays in #Python using NumPy, and many other libraries are also used.
https://t.me/CodeProgrammer
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Mastering pandas%22.pdf
1.6 MB
๐จ๐ปโ๐ป If I've worked with messy and error-prone data this time, I don't know how much time and energy I've wasted. Incomplete tables, repetitive records, and unorganized data. Exactly the kind of things that make analysis difficult and frustrate you.
https://t.me/CodeProgrammer
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Real Python.pdf
332 KB
Real Python - Pocket Reference (Important)
#python #py #PythonTips #programming
https://t.me/CodeProgrammer๐ฉต
#python #py #PythonTips #programming
https://t.me/CodeProgrammer
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The #Python library #PandasAI has been released for simplified data analysis using AI.
You can ask questions about the dataset in plain language directly in the #AI dialogue, compare different datasets, and create graphs. It saves a lot of time, especially in the initial stage of getting acquainted with the data. It supports #CSV, #SQL, and Parquet.
And here's the link๐
๐ https://t.me/CodeProgrammer
You can ask questions about the dataset in plain language directly in the #AI dialogue, compare different datasets, and create graphs. It saves a lot of time, especially in the initial stage of getting acquainted with the data. It supports #CSV, #SQL, and Parquet.
And here's the link
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I'm happy to announce that freeCodeCamp has launched a new certification in #Python ๐
ยป Learning the basics of programming
ยป Project development
ยป Final exam
ยป Obtaining a certificate
Everything takes place directly in the browser, without installation. This is one of the six certificates in version 10 of the Full Stack Developer training program.
Full announcement with a detailed FAQ about the certificate, the course, and the exams
Link: https://www.freecodecamp.org/news/freecodecamps-new-python-certification-is-now-live/
๐ @codeprogrammer
ยป Learning the basics of programming
ยป Project development
ยป Final exam
ยป Obtaining a certificate
Everything takes place directly in the browser, without installation. This is one of the six certificates in version 10 of the Full Stack Developer training program.
Full announcement with a detailed FAQ about the certificate, the course, and the exams
Link: https://www.freecodecamp.org/news/freecodecamps-new-python-certification-is-now-live/
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This is not a full-fledged course with a unified program, but a collection of nine separate videos on PyTorch and neural networks gathered in one playlist.
Inside, there are materials of different levels and formats that are suitable for selective study of topics, practice, and a general understanding of the direction.
What's here:
The collection is suitable for those who are already familiar with Python and want to selectively study PyTorch without a strict study plan โ get it here.๐ฎ Introductory videos on PyTorch and the basics of neural networks;๐ฎ Practical analyses with code writing and project examples;๐ฎ Materials on computer vision and working with medical images;๐ฎ Examples of creating chat bots and models on PyTorch;๐ฎ Analyses of large language models and generative neural networks;๐ฎ Examples of training agents and reinforcement tasks;๐ฎ Videos from different authors without a general learning logic.
https://www.youtube.com/playlist?list=PLp0BA-8NZ4bhBNWvUBPDztbzLar9Jcgd-
tags: #pytorch #DeepLearning #python
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