Dharik Mohideen F’s Post

🐍 1st article - Python Fundamentals for Data Science! 👉 Read it here: https://lnkd.in/gEBaiv4H 📍 Key Takeaways: ✔ Python Basics: Why it’s the #1 language for AI & Data Science. ✔ Environment Setup: Choosing between an IDE (VS Code) and Jupyter Notebooks. ✔ Variables & Typing: Mastering dynamic typing and naming rules. ✔ Data Types: A breakdown of Strings, Numerics, Sequences, and Mappings. ✔ Operators & Flow: Arithmetic, Logical, and Input/Output operations. ✔ Hands-on Examples: Building a simple calculator and user-input scripts. #️⃣ Hashtags #Python #DataScience #CodingBeginner #AI #MachineLearning #Programming101 #LearnToCode #PythonForBeginners #TechEducation #SoftwareDevelopment #Jupyter #DataAnalytics #CodingCommunity https://lnkd.in/gEBaiv4H

🚀✨ Day 20 of My Python Learning Journey ✨🐍. Another productive day of leveling up my Python skills! Today, I explored two powerful data structures that are widely used in real-world programming — Dictionaries 🗂️ and Sets 🔢. 📘 Dictionaries – Smart Key 🔑 & Value 📦 Storage Here’s what I learned: 🔹 values() – Get all values from a dictionary 🔹 items() – Access key-value pairs together 🔹 dict() – Convert other data types into a dictionary 🔹 Dictionary of dictionaries – Handling nested and structured data 💡 Dictionaries make data organized, structured, and easy to access. 📗 Sets – Unique & Powerful Collections. 🎯 Today’s practice with sets included: 🔸 Creating sets & empty sets 🔸 Converting a list into a set 🔸 Adding single & multiple elements 🔸 Removing elements 🔸 Checking membership 🔸 Set operations:     ✔️ Union (Combine sets)     ✔️ Intersection (Common elements)     ✔️ Difference (Unique elements in one set)     ✔️ Symmetric Difference (Non-common elements) 🔸 Looping through a set 🔸 Copying & clearing sets 🔸 Frozen sets – Immutable sets 🔒 💡 Sets are extremely useful when working with unique data and mathematical operations. 🔥 Step by step, I’m strengthening my Python fundamentals. Consistency + Practice = Progress .📈 #Day20 #PythonJourney #LearnPython #CodingLife #DataStructures #100DaysOfCode #FutureDeveloper 🚀

Learning Python Programming? Here’s a simple roadmap to guide you 🚀 Start with: 1️⃣ Python Basics (syntax, variables, loops, functions) 2️⃣ OOP Concepts (classes, inheritance, polymorphism) 3️⃣ Package Managers (pip, conda) 4️⃣ Data Structures & Algorithms 5️⃣ Automation (file handling, web scraping) 6️⃣ Testing 7️⃣ Advanced Concepts (decorators, generators, regex) 8️⃣ Web Frameworks 9️⃣ Data Science Libraries (NumPy, Pandas, TensorFlow) Python is powerful because it opens doors to Web Development, Data Science, Automation, AI, and more. Stay consistent. Practice daily. Build projects. 💻✨ #Python #Programming #LearnToCode #DataScience #Automation #CodingJourney

Python is the only programming language I use (currently, planning to learn more) and I wish I started with a roadmap. I kind of just learned it all over the place. Hopefully this can help out any newbies out there.

🚀 𝟏𝟎𝟎 𝐏𝐲𝐭𝐡𝐨𝐧 𝐓𝐢𝐩𝐬 𝐓𝐡𝐚𝐭 𝐂𝐚𝐧 𝐈𝐧𝐬𝐭𝐚𝐧𝐭𝐥𝐲 𝐋𝐞𝐯𝐞𝐥 𝐔𝐩 𝐘𝐨𝐮𝐫 𝐂𝐨𝐝𝐢𝐧𝐠 𝐒𝐤𝐢𝐥𝐥𝐬 Most people try to learn programming by memorizing long tutorials. But the fastest way to improve is by learning small practical tricks that make coding smarter and faster. I recently explored a collection of 100 Python tips and tricks covering both basic and intermediate concepts, and the insights are incredibly practical for developers and data professionals. Here are a few powerful things you can do with Python: 🔹 Merge dictionaries with simple operators 🔹 Flatten nested lists in multiple ways 🔹 Find the most frequent element in a string 🔹 Swap variables in a single line 🔹 Check internet speed using Python 🔹 Generate dummy data for testing 🔹 Merge PDF files programmatically 🔹 Detect spelling errors and profanity 🔹 Extract text from PDFs 🔹 Convert text into handwriting What makes Python powerful is not just the syntax. It is the ecosystem of built-in modules and libraries that allow you to automate almost anything from data processing to web automation. The biggest takeaway: Small coding tricks compound over time. Every shortcut you learn saves hours of work later. If you are learning Python, data analytics, automation, or AI, mastering these practical techniques can dramatically improve your productivity. Learn a few tricks every day. Your future developer self will thank you. 👉🏼 follow Ravi Sahu #Python #Programming #Coding #DataScience #Automation #TechSkills #Learning

🐍 Python Mastery — A 28-Day Roadmap to Level Up Your Skills Want to learn Python but don’t know where to start? Here’s a simple 28-day roadmap to build real skills step by step. 📌 Week 1 – Python Fundamentals Variables, data types, control flow, and functions. 📌 Week 2 – Files & Error Handling Working with files, modules, JSON/CSV, and debugging. 📌 Week 3 – Object-Oriented Programming Classes, inheritance, polymorphism, and advanced concepts. 📌 Week 4 – Data Analysis & Visualization NumPy, Pandas, data cleaning, and visualization. 📌 Algorithms & Problem Solving Sorting, searching, recursion, and complexity. 📌 Machine Learning Basics Linear regression, classification, clustering, and scikit-learn. 📌 Real-World Projects Web scraping, automation, APIs, and building a portfolio. The key isn’t learning everything… It’s learning consistently every day. 💬 If you had 30 days to improve your Python skills, what would you focus on first? 🔁 Repost to help someone start their Python journey 📌 Save this roadmap for later ❤️ Like if Python is your favorite programming language #Python #Programming #MachineLearning #DataScience #LearnToCode #SoftwareEngineering #AI #DeveloperJourney

First Personal Python Project – Learning in Public So I finally built my first “real” Python project — a Budget Tracker CLI — as part of my journey from Data Analysis → Machine Learning Engineering. What it does (in simple terms): - Add, edit, and delete expenses from the terminal  - Update a budget and instantly see what’s left  - Save everything to JSON and auto-load when the app restarts  - Generate a receipt-style text report  - Handles basic file errors (so it doesn’t crash if something goes wrong) What I actually learned from this: - How to structure code properly using OOP  - Working with file paths using pathlib (no more messy path strings 😅)  - Saving and loading data with JSON  - Thinking about how real apps start, run, and shut down cleanly Why this matters to me:  Before jumping into ML models, I’m focusing on getting really solid with Python fundamentals — especially how applications manage data, persistence, and logic.  Feels like building the “engine room” before flying the ML rocket 🚀 🔗 GitHub Repo: https://lnkd.in/eS3hjcEb 🎥 Demo attached below #Python #DataAnalytics #MachineLearningJourney #LearningInPublic #ML #DataEngineering  

🐍 𝟰 𝗣𝘆𝘁𝗵𝗼𝗻 𝗣𝘆𝗿𝗮𝗺𝗶𝗱 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 𝗘𝘃𝗲𝗿𝘆 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿 𝗦𝗵𝗼𝘂𝗹𝗱 𝗞𝗻𝗼𝘄 If you're starting your journey with Python programming, pyramid patterns are a great way to practice loops, strings, and logic building. They may look simple, but they help strengthen your understanding of iteration and pattern generation — key concepts in coding interviews and programming fundamentals. Here are 4 common pyramid patterns in Python: 🔺 Normal Pyramid Builds a centered pyramid using loops and spacing. 🔻 Inverted Pyramid Prints the pyramid in reverse order from top to bottom. ◀️ Left-Sided Pyramid Aligns the pattern to the left side using incremental stars. ▶️ Right-Sided Pyramid Aligns the pattern to the right by adjusting spacing. 💡 Why practice pyramid patterns? 🧠 Strengthens logical thinking 🔁 Improves understanding of loops 📐 Teaches pattern recognition 💻 Helps in coding interviews and fundamentals Sometimes the best way to learn programming is by solving small problems that build your logic step by step. 💬 Which pattern did you first learn when starting Python? 🔔 Follow Tech Talks for expert tips and updates on top tech courses like Cybersecurity, BigData, DevOps, AI, ML, Development, Testing, Marketing & more! #Python #Programming #Coding #PythonProgramming #LearnToCode #Developer #CodingPractice #TechLearning

My SQL and Python Journey Day 1 of My Learning Journey – Introduction to Python After starting my SQL journey and sharing my first topic, today I’ve stepped into the world of Python Programming! What is Python? Python is a General-Purpose High-Level Programming Language. It is simple, readable, and beginner-friendly — which makes it one of the most popular languages in the world. Why Python? Python is used in almost every field: ✔ Web Development ✔ Data Science ✔ Machine Learning & AI ✔ Automation ✔ Game Development ✔ IoT ✔ App Development Why is Python so Popular? ✨ Easy to learn (English-like syntax) ✨ Interpreted language (no need for compilation) ✨ Dynamically typed ✨ Supports OOP, Functional & Procedural programming ✨ Platform independent ✨ Open-source ✨ Huge library support (NumPy, Pandas, Flask, etc.) Even writing my first program felt exciting: print("Hello World") Simple. Clean. Powerful. I’m excited to explore more concepts like variables, data types, operators, and control statements next! If you’re also learning Python or planning to start, let’s connect and grow together #Python #LearningJourney #SQL #Programming #DataScience #AI #Coding #TechSkills #StudentLife #CareerGrowth