Talk Python Coursework as LinkedIn Credential

🚀 Python Training: Beginner to Advanced I’m excited to announce a new Python training session designed for both beginners and those looking to advance their skills. 🔹 What you will learn: Python from basic to advanced Real-time projects Working with databases Interview preparation & practice questions Duration: 2 Month 🗓 Start Date: 15th April ⏰ Timing: 9:00 PM – 10:00 PM (Weekdays) 📌 Weekend (Sat & Sun): Practice sessions based on weekly learning Tests to strengthen concepts If you are serious about building your career in Python, this is the right place to start. 📩 Join now and level up your skills!

If anyone is interested in developing their skills in Python (Programming Language), a quick thought based on my experience that might be helpful. 💬 Here are some tips for developing this skill: I currently learning on py4e.com and its free

Day 19 – Python Full Stack Training at Codegnan Today’s session focused on File Handling in Python, an essential concept for working with files and managing data storage in real-world applications. File handling allows programs to create, read, write, and update files, making it possible to store data permanently. 🔹 Key Concepts Learned: • Introduction to File Handling • Opening files using open() • Different file modes – r, w, a, rb, wb • Reading data using read(), readline(), readlines() • Writing data using write() and writelines() • Closing files using close() • Using with statement for better file handling 🔹 Example: with open("sample.txt", "w") as file: file.write("Hello, Python File Handling!") with open("sample.txt", "r") as file: content = file.read() print(content) This session helped me understand how to manage data storage and retrieval, which is widely used in applications like logs, databases, and file-based systems. Grateful for the continuous guidance and support from our mentors throughout this learning journey. Saketh Kallepu Anand Kumar Buddarapu Uppugundla Sairam Pooja Chinthakayala

PythonCodeCrack has hundreds of heavily interactive Python tutorials. Now I'm rolling out the ability to achieve certificates for each tutorial. The image here is an example of the personalized certificate of completion you'll receive if you complete the beginner's python tutorial on input. (a link to the tutorial is below) - Learn How to Get Input in Python: Absolute Beginners Tutorial Now you will be able to share the results of your efforts in building your Python skillset through the interactive tutorials on PythonCodeCrack and help your employers and perspective employers see your diligence in growing yourself as a career Python professional. There is no fee, no account to create, no strings attached. Achieving a certificate of completion for each tutorial requires passing a final exam on the Python tutorial with a grade of 80% or higher. You are able to re-take the test if you do not pass on the first attempt, which only further reinforces your knowledge and understanding if you must retry. Right now I'm rolling these certificate courses out bit by bit so if you see one you want to take but it doesn't provide a certificate option just yet, bookmark that page and return occassionally to see if it has been upgraded yet. https://lnkd.in/gj74cFgS #python #PythonTutorials #CertificateCourses #FreeCourses

Python Notes for Beginners: Bringing this resource back again because it’s genuinely useful for beginners. “Complete Python for Beginners” by Rishabh Mishra is simple, structured, and easy to follow — especially if you're trying to build strong basics. This can help if you: • Are starting your Python journey. • Want quick and clean revision. • Prefer learning in a structured way. One thing I’ve realized after revisiting this: - Concepts become clearer when you come back to them after some practice. But also keep this in mind: - Notes help you understand, - projects help you remember. If you missed this earlier, it’s a good starting point. (Full credit to the original creator) Comment below, What’s working better for you right now — notes, videos, or hands-on practice? 📌 I share simple Python and backend learnings here. #Python #LearnPython #Programming #Coding #Developers #TechLearning #PythonDeveloper #SoftwareEngineer

“I’ll start learning Python tomorrow…” → said every beginner… for the past 6 months. Starting is easy. Sticking with it? That’s where most people quit. Not because Python is hard but because the path is confusing, overwhelming, and all over the place. This Python Masterclass is built for beginners who want clarity, not chaos: - A simple, step-by-step roadmap (no more “what should I learn next?”) - Learn by doing real projects, not just watching tutorials - 1:1 guidance to turn your learning into actual career direction 👉 Your “Day 1” starts here: https://lnkd.in/eEQmw7cT

Stop scrolling if you want Python for free Want to master Python from zero, step by step? No paid bootcamps. No expensive courses. Just solid, beginner friendly resources you can start today. Here is a complete path you can follow: 1/ Official Python Documentation https://docs.python.org/3 Start here to understand how Python really works. You get syntax, built in functions, standard library, and examples. It is the source of truth for everything Python. ------- 2/ FreeCodeCamp Python Tutorial https://lnkd.in/gP8E8H_d Great if you like structured lessons. Walks you through Python basics in a clear, friendly way. Perfect for absolute beginners. ------- 3/ W3Schools Python Tutorial https://lnkd.in/dMg9-6_A Short, simple explanations with examples. You can read, try code in the browser, and learn fast. Ideal for quick reference while you practice. ------- 4/ Python Full Course for Beginners 2025 https://lnkd.in/gSVmBVDn A full video course for visual learners. Covers core concepts so you can follow along and code. ------- 5/ Python Full Course 2025 https://lnkd.in/gvDUyqd5 Another complete video from start to finish. Use it to review, practice, and fill any gaps. ------- Pick one resource and start today. Save this post so you can come back when you are ready to learn. -------- If you find this post helpful, please Rерost & Fоllоw 👉 𝐄𝐚𝐫𝐧 𝐖𝐢𝐭𝐡 𝐀𝐈 ------ *** Want 27+ 𝐅𝐫𝐞𝐞 𝐀𝐈 𝐆𝐢𝐟𝐭𝐬, Worth 💲15000? *** Join Our 100K+ AI Community ⤵️ 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 👉 aiplanetx.com

🐍 Python for Beginners – Complete Notes Starting your journey in Python? These beginner-friendly notes are a perfect place to begin 🚀 💡 What you’ll learn: ✔ Python basics & syntax ✔ Variables, data types & operators ✔ Conditional statements & loops ✔ Functions & modules ✔ Lists, tuples, dictionaries ✔ Problem-solving approaches ✔ Real-world examples for practice 📊 Why these notes are helpful: • Simple & easy-to-understand explanations • Structured for beginners 📖 • Perfect for revision & quick learning • Great for students & aspiring developers 🎯 Whether you’re new to coding or brushing up your basics, this resource will help you build a strong foundation in Python. 📌 Save this post for later 🔄 Share with someone who is starting their coding journey 🚀 Follow DINESH CHALLA for more tech notes & learning resources #Python #Programming #Coding #Developers #TechLearning #BeginnerFriendly #LearningResources #Devops #SRE #Learn

🚀 Day 4 – Rebuilding My Python Fundamentals Today, I focused on core concepts that form the foundation of writing efficient Python code. 📌 What I learned: 🔹 Variables & Data Types • Variables are used to store data in memory • Python is dynamically typed, meaning the datatype is determined at runtime • Common data types include numeric, text, and boolean types 🔹 Variable Scope • Scope defines where a variable can be accessed in a program • Local scope → accessible within a specific block or function • Global scope → accessible throughout the program 👉 Proper understanding of scope helps in writing structured and error-free code 🔹 Type Casting (Type Conversion) • The process of converting one datatype into another • Useful when handling different types of data in a program • Helps maintain consistency and avoid errors 🔹 Type Checking • Used to identify the datatype of a variable • Important for debugging and ensuring correct operations in a program 🎥 Learning Source: A special mention to Gowtham SB sir, whose clear and practical teaching in the Python masterclass (Data Engineering channel) makes fundamental concepts easy to understand and apply. 💡 Realization: Strong understanding of basic concepts leads to writing cleaner, more reliable code. 📈 Building my foundation step by step.

🚀 Found an Amazing GitHub Repo to Learn Python While exploring GitHub, I came across this resource: https://lnkd.in/g6wRtmqM And honestly, it’s one of the most structured ways to learn Python. What makes it useful: - Step-by-step learning (Day 1 → Day 30) - Covers basics to advanced concepts - Includes real examples + exercises - Self-paced (you can go beyond 30 days) What you’ll learn: - Core fundamentals (variables, loops, functions) - Data structures (lists, dictionaries, sets) - Advanced topics (OOP, APIs, web, databases) All in a single structured roadmap. Why I like it: Instead of jumping between random tutorials… this gives a clear path to follow. Final thought: Sometimes the best resources are not courses… they’re hidden in open-source. If you're learning Python, this is worth checking out. Follow Saif Modan #Python #Learning #GitHub #Coding #Developers