Learn Python Coding
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Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills.

Admin: @HusseinSheikho || @Hussein_Sheikho
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A 14-day tutorial where you build a Python code-agent CLI in the style of Claude Code from scratch and simultaneously understand how the Agent Harness actually works. ๐Ÿ› ๏ธ๐Ÿค–

In the end, you don't just call a ready-made agent via the API, but you understand the components that make up a Claude Code-like tool. ๐Ÿง โš™๏ธ

https://github.com/bozhouDev/14days-build-claude-code-cli/blob/main/README.en.md

#Python #AI #ClaudeCode #CLI #CodingTutorial #Tech

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โค2๐Ÿ”ฅ1
Python can substitute an empty context manager without conditions inside!

It often happens that a resource needs to be opened via with, and sometimes the object is already ready and there's no need to open anything.

This usually leads to code duplication or conditions around with:

if need_open:
f = open(...)
else:
f = existing_file

`nullcontext(obj) behaves like an empty context manager and allows you to maintain a single execution flow.

This is especially useful for APIs, tests, optional resources, dependency injection, and functions that can accept both a path and a ready-made object.

with ctx as resource:
process(resource)

But note that nullcontext() does not close the passed object โ€” it simply passes it on further.

๐Ÿ”ฅ nullcontext() helps to unify scenarios with optional context managers and significantly simplifies the architecture of IO code.

#Python #ContextManager #CodingTips #DevLife #Programming #Tech

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Do you know that Python can shift sequences without slicing and creating new lists?

When you need to cyclically shift data, many use slicing:

data = data[-1:] + data[:-1]

But deque.rotate() does this at the level of the data structure and usually works more efficiently for cyclical operations.

q.rotate(1)

A negative value rotates the queue in the other direction.

q.rotate(-2)

This is useful for ring buffers, task schedulers, cyclical queues, and round-robin algorithms.

workers.rotate(-1)

๐Ÿ”ฅ deque.rotate() allows you to implement cyclical data structures without manual index logic and without creating new lists.

#Python #DataStructures #CodingTips #Programming #Deque #Tech

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How to create your own context manager in Python for opening and closing a connection to the SQLite database

The enter() method is used when opening a connection, and the exit() method is used when closing it:

import sqlite3

class DatabaseConnection:
def __init__(self, db_name):
self.db_name = db_name
self.connection = None

def __enter__(self):
self.connection = sqlite3.connect(self.db_name)
return self.connection

def __exit__(self, exc_type, exc_val, exc_tb):
if self.connection:
self.connection.close()

# Usage
with DatabaseConnection("example.db") as conn:
cursor = conn.cursor()
cursor.execute("SELECT * FROM users")

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#Python #SQLite #ContextManager #Programming #Coding #Tech
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Catch a useful trick for working with division in Python ๐Ÿ

divmod() takes two numbers and in a single operation returns a tuple with the quotient and remainder from the division ๐Ÿ“Š

#Python #Coding #Programming #Tech #Tips #Dev

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10 GitHub Repositories for Web Development in Python ๐Ÿ

Explore the best Python web development repositories for building APIs, full-stack web apps, dashboards, machine learning demos, internal tools, and interactive Python-based user interfaces. ๐Ÿ”ฅ

https://www.kdnuggets.com/10-github-repositories-for-web-development-in-python

#Python #WebDevelopment #GitHub #Coding #API #Tech

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Guessing numbers

This project for beginners in Python is a fun game that generates a random number (within a certain range) that the user must guess after receiving hints.

For each incorrect guess, the user receives additional hints, but at the cost of reducing their overall score.

๐Ÿ’ก๐Ÿ๐ŸŽฎ #Python #Coding #Beginners #Game #Learning #Tech

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โค2
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๐Ÿ‘ Fluent Python โ€” practical examples from one of the best Python books!

Here, the language's capabilities are explained, which many only know superficially. The material focuses not on basic syntax, but on a deep understanding and proper use of its capabilities in real projects. There are many examples of working with objects, collections, functions, decorators, generators, async code, and Python's internal logic.

I'll leave a link: https://github.com/fluentpython/example-code-2e

#Python #Programming #FluentPython #Developer #Tech #Coding

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Cheat sheet on Python Data Types ๐Ÿ

Python Data Types โ€” the main data types in Python.

๐Ÿ”ข Numbers โ€” numerical types (int, float, complex)
โš–๏ธ Bool โ€” logical values (True, False)
๐Ÿ“ String โ€” text strings
๐Ÿ“‹ List โ€” mutable ordered collections
๐Ÿ”’ Tuple โ€” immutable ordered collections
๐ŸŽฒ Set โ€” unique unordered elements
๐Ÿ—‚๏ธ Dict โ€” collections of "key-value" pairs.

Helps to quickly orient yourself in data types and choose the appropriate structure for storing information ๐Ÿ’ก

#Python #DataScience #Coding #Programming #Tech #Learning

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Variables in Python are stickers, not boxes.

A variable doesn't store a value, but points to it. If you change a list, both variables will see the change. This makes sense with stickers. But with boxes, it's magic: two boxes mysteriously change simultaneously.

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#Python #Programming #Variables #Coding #Tech #DataScience
โค4
What useful functions are there in the functools module?

Among the most popular ones: lru_cache for caching results, partial for partial application of arguments, wraps for preserving metadata in decorators and cmp_to_key for transforming a comparison function into a sorting key ๐Ÿโœจ

# functools module usage
from functools import lru_cache, partial, wraps, cmp_to_key

#Python #functools #coding #programming #softwaredev #tech

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Python there is a small convenience that not everyone knows about: in startswith and endswith you can pass an tuple of values directly

This allows you to check multiple options with one call, without long conditions and unnecessary code

๐Ÿ #Python #Programming #Coding #Tips #Developer #Tech

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3 quick ways to merge dictionaries in Python ๐Ÿ

1๏ธโƒฃ The operator | (Python 3.9+) โ€” the most modern and elegant way. Creates a new dictionary.

dict1 = {'a': 1, 'b': 2}
dict2 = {'b': 99, 'c': 4}

combined = dict1 | dict2
# Result: {'a': 1, 'b': 99, 'c': 4} (values of the second dictionary replace the first)

2๏ธโƒฃ The in-place update operator |= (Python 3.9+) โ€” if you need to modify the first dictionary in place.

dict1 |= dict2

#Python #Coding #DevOps #Programming #Tech #DataScience

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**Today we will examine __call__ โ€” a data filter object!** ๐Ÿง 

It allows a class instance to work as a function, preserving the state and filtering rules. โš™๏ธ

Let's create a filter for numbers that only passes even ones and strictly greater than a specified threshold:

class EvenFilter:
def __init__(self, threshold):
self.threshold = threshold

def __call__(self, numbers):
return [n for n in numbers if n % 2 == 0 and n > self.threshold]

Let's use the filter in practice:

f = EvenFilter(5)
nums = [1, 4, 6, 7, 10]
print(f(nums)) # [6, 10]

Now each instance can have its own rules:

f2 = EvenFilter(8)
print(f2(nums)) # [10]

๐Ÿ”ฅ So, __call__ turns an object into a "smart function" with memory and customizable logic. ๐Ÿ’ก

#Python #DataScience #Programming #Coding #Tech #HelloEncyclo

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What's the difference between is and == in Python?

The == operator checks whether the values of two objects are equal. In contrast, is determines whether variables refer to same object in memory. That is, == compares the content, while is checks the identity of the objects ๐Ÿ๐Ÿ”

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โœจ Unpacking the remaining elements ๐Ÿงฉ

Sometimes you need to extract the first and last elements from a list, while grouping everything in the middle separately. Instead of struggling with slicing ([1:-1]), use the asterisk (*). โญ๏ธ

data = ["CEO", "Middle Python Dev", "Junior Dev", "QA", "HR"]

# The asterisk automatically collects everything "extra" into a separate list.
boss, *team, hr = data

print(boss) # CEO
print(team) # ['Middle Python Dev', 'Junior Dev', 'QA']
print(hr) # HR

#Python #Coding #DataScience #DevLife #Programming #Tech

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