#Coding_challenge #python #prime_number

Let N is a natural number greater than or equal to 1.

Print all prime numbers in between 1 and N.

Example:

Input: 9

Output: 2 3 5 7

Post your solution @pydiscussion

Consistency is the real game-changer in learning to code.

You don’t need 10 hours a day.
You just need one focused hour, every day.

Whether you're just starting with Python, diving into machine learning, or building your first web app, the secret to growth isn’t in the intensity—it’s in the consistency.

I've seen firsthand (both personally and through mentoring others) that those who commit to steady, incremental progress often surpass those who rely on occasional bursts of effort.

Make it a habit. Show up every day.
Even on the days when it feels hard. Especially on those days.

Progress compounds—and that’s how coders are made.

Resources to Learn

01: Introduction to Python: https://youtu.be/9nkITaOCx_U

02: How to Get Started with Python in VS Code: https://youtu.be/EGdhnSEWKok


#Coding #Python #LearnToCode #DeveloperJourney #Consistency #GrowthMindset #TechCareers

Excited to share some CLI-based Python Mini Projects perfect for beginners and enthusiasts looking to sharpen their skills:

📂 File Organizer – Keep your files neat and tidy

💰 Daily Expense Tracker – Track your spending easily

✅ Daily Habit Task Manager – Build consistent habits

🔒 Password Manager (Educational Purpose Only) – Learn secure storage basics

🤖 Digital Automation – Automate everyday tasks


All projects are hands-on, simple, and perfect to strengthen your Python fundamentals.

Check out the full code here: https://github.com/epythonlab2/python-mini-projects

#Python #PythonProjects #CLIProjects #Automation #Coding #LearningPython #BeginnerProjects #DevCommunity

Most fraud doesn’t look obvious.
In real financial systems, fraudulent activity is often hidden inside millions of normal transactions. Traditional rule-based systems struggle because fraud patterns constantly evolve.
I just published a full end-to-end tutorial on building an Advanced Fraud Detection System using Isolation Forests and real-world anomaly detection techniques.
In this project, I cover:
✅ Handling messy and imbalanced financial data
✅ Missing values and skewed distributions
✅ Feature engineering for anomaly detection
✅ Building preprocessing pipelines with Scikit-learn
✅ Isolation Forest intuition and implementation
✅ Anomaly scoring and error analysis
✅ Precision, recall, and production ML thinking
This is not a toy example — the focus is on how anomaly detection actually works in production-oriented ML systems.
🎥 Advanced Fraud Detection with Isolation Forest
https://youtu.be/BRCWPyDe_H0
📚 ML FinTech Projects Playlist
https://www.youtube.com/playlist?list=PL0nX4ZoMtjYFuTnUcwv0aFnxN9pEyjVez
🚀 Try DatasetDoctor
https://datasetdoctor.fastapicloud.dev
#MachineLearning #ArtificialIntelligence #DataScience #FraudDetection #IsolationForest #AnomalyDetection #Python #ScikitLearn #FinTech #MLOps #AIEngineering #MLProjects #ProductionML #FeatureEngineering #FinancialAI #Analytics #DeepLearning #DataEngineering #Tech #Coding

🚀 Start Your Python Journey Today — No Experience Needed

Want to learn Python from scratch and build real coding skills step by step?

I created a complete beginner-friendly Python course designed for anyone who wants to enter programming, data science, AI, automation, or software development — even if you have never written a single line of code before.

📘 In this course, you will learn:
✔ Python fundamentals
✔ Variables and data types
✔ Loops and functions
✔ Conditional statements
✔ Lists, dictionaries, and tuples
✔ File handling
✔ Object-Oriented Programming
✔ Real coding exercises and projects

🎯 Perfect for:
• Absolute beginners
• Students and self-learners
• Future AI & Data Science developers
• Anyone switching careers into tech

💡 The goal is simple:
Build a strong Python foundation the right way — with practical explanations and hands-on coding.

🎥 Watch the full course here:
https://youtu.be/ldR3NdSDiyE


Your programming career starts with one decision: consistency.


#Python #Programming #Coding #PythonTutorial #LearnPython #Developer #DataScience #AI #MachineLearning #Beginners #SoftwareDevelopment

🐍 Pickle vs JSON: Which One Should You Use?

When working with Python, you'll often need to save and load data. Two common choices are Pickle and JSON—but they serve different purposes.

✅ JSON
• Human-readable and easy to edit
• Language-independent
• Great for APIs, configuration files, and data exchange
• More secure for sharing data

✅ Pickle
• Stores almost any Python object
• Preserves Python-specific data structures
• Faster and more convenient for Python-to-Python workflows
• Not human-readable and should not be loaded from untrusted sources

📌 Quick Rule:
Use JSON when data needs to be shared, inspected, or used across different systems.
Use Pickle when you need to save and restore complex Python objects within Python applications.

Choosing the right format can make your applications more portable, secure, and maintainable.

Dive Deeper Here:
https://youtu.be/xuOa3vB6gkI?si=sfgVup0my0bQhuz3

#Python #Programming #DataScience #MachineLearning #AI #SoftwareDevelopment #DataEngineering #PythonTips #Coding #Developer #LearnPython #TechEducation #JSON #Pickle #DataSerialization #CodingTips #TechCommunity #100DaysOfCode #Developers #DataAnalytics

Most Python developers learn "import module" very early.

But one small habit can make your code much cleaner.

Instead of this:

import very_long_module_name
very_long_module_name.process_data()

Use an alias:

import very_long_module_name as vm
vm.process_data()

Or follow well-known community conventions:

✔ "import numpy as np"
✔ "import pandas as pd"
✔ "import matplotlib.pyplot as plt"

Why use aliases?

✅ Improve readability by reducing visual clutter.
✅ Write less without sacrificing clarity.
✅ Avoid naming conflicts between modules.
✅ Follow community conventions that every Python developer recognizes.

That said, do not create cryptic aliases just because you can.

❌ "import requests as r1"
❌ "import mymodule as x"

A good alias should still communicate intent. The goal is readable code, not shorter code.

Clean code is code that your future self and your teammates can understand in seconds.

I explain this with practical examples https://youtu.be/0GKxOJNRtPA

What is your favorite Python import alias?

#Python #Programming #SoftwareEngineering #CleanCode #PythonTips #Coding #Developers #LearnPython #CodeQuality

Many Python developers begin by writing everything in a single file. That approach works for small projects, but it quickly becomes difficult to manage as your application grows.

Creating custom modules is an essential Python skill because it helps you:

✅ Organize code into logical components
✅ Reuse code across multiple projects
✅ Improve readability and maintenance
✅ Simplify debugging and testing
✅ Make collaboration easier for teams
✅ Build scalable and professional applications

Whether you are developing automation tools, machine learning pipelines, APIs, or AI applications, modular code makes your projects cleaner, easier to extend, and more reliable.

The difference between beginner code and production-ready code is often how well it is organized.

If you want to write Python like a professional developer, learning how to create custom modules is a great place to start.

🎥 Explore the step-by-step implementation:
https://youtu.be/rawqnBBZb5E

How do you organize your Python projects? Do you start with modules from the beginning, or do you split your code into modules as the project grows?

#Python #PythonProgramming #SoftwareEngineering #CleanCode #Programming #Coding #Automation #MachineLearning #AI #Developers

A Practical Python Roadmap to Become an AI Developer
Here is the start of your journey:
https://youtu.be/ldR3NdSDiyE

#Python #PythonDeveloper #LearnPython #ArtificialIntelligence #AI #AIDeveloper #MachineLearning #DeepLearning #GenerativeAI #LLM #DataScience #MLOps #FastAPI #PyTorch #ScikitLearn #SoftwareEngineering #Programming #Coding #TechCareer #BuildInPublic #OpenSource #100DaysOfCode #Developer #TechEducation #FutureOfAI