7 Course-Bundle: Shut Up and Code Python + PyCharm + Coding Interview + Machine Learning + One-Liners + Regex + Lambdas https://lnkd.in/gft86sfa by Christian Mayer, Lukas Rieger, and Shubham Sayon is the featured Track on the Leanpub homepage! https://leanpub.com #ComputerProgramming #Devops Statistically, "Python" is a six-figure per year skill: the average salary of a skilled Python professional is way above $100,000 per year. That's about $8,300 per month. Could you build yourself and your family a comfortable life by earning $8,000 per month? If you want to build yourself this exciting, fun, and surprisingly easy skill set of being a Python coder, feel free to check out the 7-course bundle in front of you --- I'd love to see you in the courses! Find it on Leanpub!
Python Course Bundle: Learn to Code & Boost Salary to $8,300/month
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Sharing my Python Notes that I’ve created while learning and practicing Python concepts step by step. These notes are designed to help beginners and intermediate learners understand Python in a clear and practical way. 📌 What you’ll find inside: Core Python fundamentals Easy explanations with examples Important concepts for interviews & projects Clean and well-organized structure Python is one of the most powerful and beginner-friendly languages, widely used in Data Science, AI/ML, Web Development, and Automation. If you’re starting your Python journey or revising concepts, I hope these notes add value to your learning 📚✨ 💬 Feel free to share your thoughts 🤝 Let’s grow and learn together #Python #PythonProgramming #PythonNotes #LearnPython #PythonForBeginners #Coding #Programming #SoftwareDevelopment #DeveloperLife #DataScience #MachineLearning #ArtificialIntelligence #AI #ML
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🧠 Python Lists – One of the Most Powerful Data Structures You Must Master 🐍 Many beginners use lists every day… but very few truly understand their power. This visual highlights why Python lists are so important 👇 ✔ Mutable – you can modify data anytime ✔ Supports mixed data types ✔ Automatically resizes (dynamic) ✔ Powerful indexing & slicing ✔ Rich built-in methods for fast manipulation ✔ Native and optimized for Python 💡 If you master lists, half of your Python + DSA journey becomes easier. 📌 Save this for quick revision 🔁 Repost to help Python learners 💬 Comment LISTS if you want more Python + DSA visuals #Python #PythonProgramming #DataStructures #LearnPython #CodingTips #DeveloperJourney #SoftwareDeveloper #ProgrammingBasics #ITStudents #TechSkills #DSA #PythonLearning #CodingLife
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✨ New Python Tutorial is Live! ✨ 🔍 Ever wondered how Python finds emails, phone numbers, or patterns hidden inside text? That magic starts with Regular Expressions (Regex). In this new video from my Python Full Course playlist on All About CS, we dive into Python Regex Basics (Part 1) — explained step by step, with real use cases and live coding. 🔑 What you’ll learn in this video: ✅ What Regular Expressions really are (without fear 😄) ✅ How to use Python’s re module ✅ Special characters & quantifiers that unlock regex power ✅ Practical examples like word extraction & email validation ✅ A challenge task to test your understanding 📌 Perfect for beginners, interview prep, and anyone dealing with text, data cleaning, or validation in Python. 🎥 Watch the video here 👉 https://lnkd.in/df-vnNPv 💬 Drop a comment if Regex ever confused you — or tell me which Python topic you want next! #python #regex #programming #learnpython #codingskills #softwaredevelopment #AllAboutCS #pythontutorial #developerjourney
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𝗣𝘆𝘁𝗵𝗼𝗻 𝗗𝗮𝗶𝗹𝘆 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 | 𝗛𝗮𝗰𝗸𝗲𝗿𝗥𝗮𝗻𝗸 – 𝗥𝗲𝗱𝘂𝗰𝗲 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻 | 𝗗𝗮𝘆 𝟭𝟯 Most Python learners avoid this function—and interviews know it. Day 13 of my Python Daily Challenge 🚀 Today’s challenge introduced reduce() — a function many people skip or fear. The task looked tricky: 👉 Multiply rational numbers 👉 Reduce them into one result 👉 Return numerator & denominator 𝗕𝘂𝘁 𝘁𝗵𝗲 𝗿𝗲𝗮𝗹 𝗹𝗲𝘀𝘀𝗼𝗻 𝘄𝗮𝘀 𝗱𝗲𝗲𝗽𝗲𝗿 👇 • reduce() is about accumulating logic, not magic • Lambdas test how well you understand expressions • Clean functional thinking beats long loops here 💡 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗽𝗮𝘁𝘁𝗲𝗿𝗻 𝗳𝗿𝗼𝗺 𝗗𝗮𝘆 𝟭𝟯: If you understand how data flows, functional programming becomes simple. That’s why I’m learning Python beyond just loops — one concept at a time, no skipping fundamentals. Be honest — have you ever skipped reduce() while learning Python? 👇 #Python #HackerRank #DailyCoding #ProblemSolving #InterviewPrep #LearnInPublic #Consistency
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LEARNING PYTHON Why Python Lists are a beginner’s superpower 🐍 • Lists let you store multiple values in a single variable. • They are ordered,so elements keep their position. • Lists are mutable – you can add, remove, or update values anytime. • Duplicates are allowed, which is useful for real-world data. • Perfect for loops, algorithms, and data processing. • Commonly used in projects, interviews, and competitive coding • One of the most important Python datatypes to master early #Python #PythonBasics #DataTypes #Coding #LearningPython
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Why you should learn #python in 2026 Python and yes i am not talking about snake 🐍. I am talking about high-level programming language Python. It’s easy to read, write and very powerful. But the question is why you should learn it? Well there are various reasons, let me tell you : 1. Data Analysis 2. Data Scientist 3. Artificial Intelligence 4. Machine Learning 5. Web Development 6. Automation and many more So these are th few reasons to learn Python in #2026
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🚀 Python Cheat Sheet for Beginners (Save This ✅) If you’re starting Python and feeling overwhelmed, this one-page cheat sheet is your quickest roadmap 🧠✨ It covers all the basics you need to start coding confidently 👇 ✅ Variables & Data Types ✅ Operators ✅ Loops (for / while) ✅ Conditional Statements ✅ Functions + Lambda ✅ Lists, Tuples, Sets, Dictionaries ✅ Exception Handling ✅ File Handling ✅ Useful Built-in Functions 📌 Best part? It’s super beginner-friendly and perfect for revision before coding practice or interviews. 💡 Pro Tip: Don’t just read it—pick 1 topic daily and write 5 lines of code to apply it. That’s how you grow fast 💯 🔖 Save this post so you can revisit anytime. #Python #PythonProgramming #LearnPython #Coding #Programming #DataScience #MachineLearning #AI #Students #Placements #SoftwareDevelopment #TechSkills #CareerGrowth #BeginnerFriendly
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🚀 Day 29/100 | #100DaysOfCode — Python Learning Journey 🐍 Today I explored two very important file handling methods in Python: 👉 tell() and seek() — and they completely changed how I think about reading files 📄➡️🧠 Here’s what I learned today 👇 🔹 tell() — Where am I in the file? tell() helps to find the current position of the cursor inside the file. It tells us exactly where Python is reading or writing from. 🔹 seek() — Let’s move the cursor With seek(), we can move the file pointer to any position we want. This means we can re-read data, skip data, or jump to a specific part of the file. 🔹 Why this matters Now I understand how Python controls from where to read and where to write in large files — which is super useful in real projects. Small concepts, but very powerful when building real applications 💡🔥 Still learning. Still showing up. One step closer every day 💪 👉 Trust the process. Keep coding. #Python #FileHandling #tell #seek #100DaysOfCode #LearningInPublic #CodingJourney #Consistency
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𝗧𝗵𝗲 𝗤𝘂𝗶𝗰𝗸 𝗣𝘆𝘁𝗵𝗼𝗻 𝗕𝗼𝗼𝗸 | 𝗙𝗮𝘀𝘁-𝗧𝗿𝗮𝗰𝗸 𝗚𝘂𝗶𝗱𝗲 𝗳𝗼𝗿 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀 & 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀 Want to learn Python quickly without getting overwhelmed? The Quick Python Book is designed to help you understand Python fundamentals in a simple, practical, and structured way. This guide covers: ✔ Python Basics (Variables, Data Types, Operators) ✔ Conditional Statements & Loops ✔ Functions & Lambda ✔ Lists, Tuples, Sets & Dictionaries ✔ OOP Concepts in Python ✔ File Handling ✔ Exception Handling ✔ Important Interview Questions ✔ Practice Programs Perfect for: • Beginners starting Python • Students preparing for exams • Developers switching to Python • Interview preparation Learn smart. Practice consistently. Build confidently. #Python #PythonProgramming #LearnPython #Coding #Programming
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