Code With Python
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This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA – perfect for learning, coding, and mastering key programming skills.
Admin: @HusseinSheikho || @Hussein_Sheikho
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Django Features and Libraries - course

Exploring Django Features and Libraries
The "Django Features and Libraries" course is designed to help learners deepen their understanding of Django by exploring its advanced features and built-in libraries. Django is a high-level Python web framework that promotes rapid development and clean, pragmatic design. This course provides hands-on experience in leveraging Django’s powerful tools to build scalable, efficient, and secure web applications.

Enroll Free: https://www.coursera.org/learn/django-features-libraries

#python #programming #developer #programmer #coding #coder #softwaredeveloper #computerscience #webdev #webdeveloper #webdevelopment #pythonprogramming #pythonquiz #ai #ml #machinelearning #datascience #django

https://t.me/DataScience4
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Data Management With Python, SQLite, and SQLAlchemy

In this tutorial, you’ll learn how to use:

1⃣ Flat files for data storage
πŸ”’ SQL to improve access to persistent data
πŸ”’ SQLite for data storage
πŸ”’ SQLAlchemy to work with data as Python objects

Enroll Free: https://realpython.com/python-sqlite-sqlalchemy/

#python #programming #developer #programmer #coding #coder #softwaredeveloper #computerscience #webdev #webdeveloper #webdevelopment #pythonprogramming #pythonquiz #ai #ml #machinelearning #datascience #django #SQLAlchemy #SQLite #SQL

https://t.me/DataScience4
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πŸ“˜ Ultimate Guide to Web Scraping with Python: Part 1 β€” Foundations, Tools, and Basic Techniques

Duration: ~60 minutes reading time | Comprehensive introduction to web scraping with Python

Start learn: https://hackmd.io/@husseinsheikho/WS1

https://hackmd.io/@husseinsheikho/WS1#WebScraping #Python #DataScience #WebCrawling #DataExtraction #WebMining #PythonProgramming #DataEngineering #60MinuteRead

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Python tip:
Use f-strings for easy and readable string formatting.

name = "Alice"
age = 30
message = f"Hello, my name is {name} and I am {age} years old."
print(message)


Python tip:
Utilize list comprehensions for concise and efficient list creation.

numbers = [1, 2, 3, 4, 5]
squares = [x * x for x in numbers if x % 2 == 0]
print(squares)


Python tip:
Use enumerate() to iterate over a sequence while also getting the index of each item.

fruits = ["apple", "banana", "cherry"]
for index, fruit in enumerate(fruits):
print(f"{index}: {fruit}")


Python tip:
Use zip() to iterate over multiple iterables in parallel.

names = ["Alice", "Bob"]
ages = [25, 30]
for name, age in zip(names, ages):
print(f"{name} is {age} years old.")


Python tip:
Always use the with statement when working with files to ensure they are properly closed, even if errors occur.

with open("example.txt", "w") as f:
f.write("Hello, world!\n")
f.write("This is a test.")
# File is automatically closed here


Python tip:
Use *args to allow a function to accept a variable number of positional arguments.

def sum_all(*args):
total = 0
for num in args:
total += num
return total

print(sum_all(1, 2, 3))
print(sum_all(10, 20, 30, 40))


Python tip:
Use **kwargs to allow a function to accept a variable number of keyword arguments (as a dictionary).

def display_info(**kwargs):
for key, value in kwargs.items():
print(f"{key}: {value}")

display_info(name="Bob", age=40, city="New York")


Python tip:
Employ defaultdict from the collections module to simplify handling missing keys in dictionaries by providing a default factory.

from collections import defaultdict

data = [("fruit", "apple"), ("vegetable", "carrot"), ("fruit", "banana")]
categorized = defaultdict(list)
for category, item in data:
categorized[category].append(item)
print(categorized)


Python tip:
Use if __name__ == "__main__": to define code that only runs when the script is executed directly, not when imported as a module.

def greet(name):
return f"Hello, {name}!"

if __name__ == "__main__":
print("Running directly as a script.")
print(greet("World"))
else:
print("This module was imported.")


Python tip:
Apply type hints to your code for improved readability, maintainability, and to enable static analysis tools.

def add(a: int, b: int) -> int:
return a + b

result: int = add(5, 3)
print(result)


#PythonTips #PythonProgramming #PythonForBeginners #PythonTricks #CodeQuality #Pythonic #BestPractices #LearnPython

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By: @DataScience4 ✨
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