Python Practice Lab by Angelica Lim and Victor Cheung is a guide to learning basic programming by writing fun, working programs that gradually become more complex. Out now (26 May UK pub)! Find it here: https://hubs.ly/Q048V8YL0 This classroom-tested, workbook-style text teaches basic programming by guiding readers to write Python programs that mimic interactive chatbots. Unlike textbooks with opaque examples explained in dry, monotonous code, Python Practice Lab engages readers immediately, with more than thirty motivating and hands-on examples. Readers learn by writing fun, working programs that gradually become more difficult as new concepts are introduced. Most exercises are open ended, promoting creativity in the process of learning. Along with coding practice, the book offers brief introductions to a range of other topics in computer science, including recommendation systems, computer vision, and big data, and relates these subjects to the programming concepts covered in the book. Python Practice Lab will be an essential resource for anyone who wants to learn to program, instructors teaching Python to beginners, and students who want to supplement their coursework by building complete and functional programs. • Uses natural language and text strings rather than math as the main building blocks for learning about program structure • Rewrites code comprehension exercises in equivalent code with inclusive and approachable variables rather than terse, single-letter variables • Challenges readers to write a full program in each chapter • Presents a selection of projects at the end of the book that integrates the concepts introduced in previous chapters #Coding #Python #ComputerScience #Programming
Learn Python with Interactive Programs and Projects
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Give me 18 hours — and you’ll start coding in Python with confidence This isn’t a “watch once and forget” kind of course. It’s built for students who want to actually write code, not just understand theory. Many students struggle with Python not because it’s difficult… but because they don’t practice enough. That’s the gap this course focuses on. I’ve kept it simple, practical, and beginner-friendly: Structured video lessons Hands-on coding in every section Clear explanations with real examples Step-by-step learning approach What you’ll learn: Python Basics Conditions & Loops Strings & Functions Lists, Tuples, Sets, Dictionaries Exception Handling File Handling OOPS Concepts Writing simple and clean programs This course is designed so you don’t just “learn Python”… you start using it with confidence. Perfect for students who want to: Begin their coding journey Build strong fundamentals Gain real confidence in programming If you’ve been waiting to start Python, this is your moment. Resources in comments 👇 If this helps you, consider reposting so it reaches more students #BluJayTechnologies #Python #SoftwareCoaching #Learning #Institute
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Dear all, What is Object Oriented Programming in Python? | OOP Concepts Explained for Beginners This video explains Object Oriented Programming (OOP) in Python, one of the most important concepts for programming beginners, students, and exam preparation. OOP helps organize code using classes and objects, making programs more structured, reusable, and easy to maintain. 🎯 In this video, you will learn: ✅ What is Object Oriented Programming (OOP) ✅ Difference between procedural and OOP approach ✅ Basic OOP concepts: • Class and Object • Encapsulation • Inheritance • Polymorphism ✅ Simple examples in Python ✅ Important points for exams and interviews 🎓 Useful For: ✔ Beginners in Python programming ✔ Engineering students (CSE, IT, ECE) ✔ Students preparing for exams and viva ✔ Coding interview preparation ✔ Anyone learning programming fundamentals 📌 This video is perfect for understanding OOP concepts in a simple and easy way. 👉 Subscribe to SimplifiedEEEStudies – Dr. Vineeth Kumar P K for more Python tutorials and exam-oriented content. #Python #OOP #ObjectOrientedProgramming #PythonTutorial #ProgrammingForBeginners #LearnPython #CodingBasics #EngineeringStudents #InterviewPreparation #SimplifiedEEEStudies
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Everyone talks about becoming “good at coding” fast… But no one talks about how confusing it feels at the start. Lately, I’ve realized something: It’s not about writing perfect code. It’s about understanding why the code works. Right now, I’m focusing on: • Learning OOP concepts step by step (class, object, methods) • Practicing small Python problems daily • Asking questions when things don’t make sense • Accepting that confusion is part of learning Sometimes I don’t understand things immediately… but I’m learning to stay patient with myself. Because real growth doesn’t happen in one day. It happens when you don’t quit on the hard days. If you’re also learning programming, just remember: Feeling stuck doesn’t mean you’re failing — it means you’re learning. #Python #LearningJourney #OOP #Consistency #GrowthMindset
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A Practical Guide to #Python Fundamentals for the Next Generation ! As a professional #Software #Architect, I often look for resources that balance technical accuracy with accessibility. Python Illustrated by Maaike van Putten & Imke van Putten strikes this balance perfectly. The book begins with getting your computer ready to code. It walks through the installation process step-by-step, avoiding unnecessary complexity. This is crucial for anyone starting their coding journey from scratch. Chapter 2 focuses on variables and #data types. Understanding how to store data correctly is fundamental, and this chapter explains it clearly. Chapter 3 moves into conditional statements, teaching readers how to make decisions in code using if, elif, and else blocks. The visual aids here are excellent for understanding program flow. Chapter 4 covers lists, dictionaries, and tuples, which are essential for data management in Python. While the book focuses on fundamentals, it also introduces concepts that lead to advanced work. It hints at best practices for code style and testing later on. It mentions creating clear documentation, a skill vital for professional growth. This book is particularly indicated for young people learning Python today or for beginners tired of boring books! The visual storytelling reduces the intimidation factor of programming languages. The humor is subtle but effective; it lightens the mood when facing difficult technical concepts. This makes the learning process sustainable over time. It serves as an excellent introduction before moving to more advanced libraries or frameworks. For those looking to build a strong foundation in Python, this is a top-tier recommendation. It transforms a complex subject into an engaging visual experience suitable for all levels.
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🚀 Master Python in Just 15 Days! 🐍 Are you looking to kickstart your journey into programming or level up your coding skills? Transitioning from a beginner to an intermediate level doesn't have to take months. I’m excited to share this comprehensive 15-Day Python Roadmap created by Bosscoder Academy! This guide is designed to take you from the very basics to intermediate concepts with a hands-on, practical approach. What’s inside? Each day focuses on a core pillar of Python, complete with curated resources and practice questions to solidify your learning: Day 01: Introduction and Setup Day 02: Variables and Data Types Day 03: Control Flow and Loops Day 04: Functions and Recursion Day 05: String Manipulation Day 06: Lists and Tuples Day 07: Dictionaries and Sets Day 08: File Handling Day 09: Object-Oriented Programming (OOP) Day 10: Inheritance and Encapsulation ...and more, leading up to an introduction to Machine Learning! Whether you are building a simple "Hello World" or diving into complex OOP concepts, this roadmap provides the structure you need to succeed. Let's get coding! 💻 Drop a "Python" in the comments if you're taking the challenge, and feel free to share this with someone who is just starting their tech journey! #Python #CodingChallenge #Programming #DataScience #PythonProgramming #BosscoderAcademy #TechLearning #SoftwareDevelopment #15DayChallenge
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Engaging Python Beginners Is Important. I am excited to be invited to work with a group of students from the School of Economics and Business (University of Ljubljana). This way I will see my new approach to Python in real time. The biggest classroom challenge I face is maintaining momentum when Python assignments become too long or too deeply linked. My teaching philosophy is clear: the whole class moves forward together, meaning every student must complete the assignment before we proceed. While this is essential for guiding the classroom, it makes longer code difficult for total beginners. My solution is to structure Python learning in a game-like way, using short, completely self-contained assignments. The brilliant idea is to encapsulate each task within its own scope. This way, even if the overall project’s purpose stretches across several challenges, students always begin with a prepared environment. Drawing inspiration from structured visual block-based programming methods, where we give beginners a pre-set state: functions are already defined, structure is provided, and they concentrate only on adding their specific piece of code. This scaffolding allows Python beginners to work within a larger, more meaningful codebase, rather than just writing limited lines of code to showcase a single concept. This approach ensures accessibility, keeps the learning engaging, and helps every student gain the foundational computational thinking skills they need. I look forward to observing the real-time response from students as we roll this out. #Python #CodingEducation #EdTech #TeacherLife #ComputerScience #DigitalLiteracy #InnovationInEducation #CobieAI
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Why Most Beginners Struggle with Coding (And How I’m Fixing It) When I started learning Python, I realized something important: It’s not the language that’s difficult — it’s the lack of strong fundamentals. So instead of jumping into advanced topics, I went back to basics and started practicing simple programs consistently: ✔️ Loops & conditions ✔️ Problem-solving (prime numbers, factorial, Fibonacci) ✔️ Logic building through small exercises Here’s what I learned: •Writing 100 small programs teaches more than watching 100 tutorials • Consistency beats intensity •Understanding logic is more important than memorizing syntax Now, every problem feels a little easier, and confidence is growing step by step. If you're learning to code, focus on this: Master the basics. Practice daily. Build logic. That’s the real shortcut. #Python #Coding #Learning #Developers #Programming #CareerGrowth
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🚀 Exciting News! New Course Coming Soon 🚀 I’m thrilled to announce that I’ll be launching a brand-new course: "Python for Beginners: Learn Python Programming from Scratch" 🐍 This course is designed especially for beginners who want to start their journey in programming with a strong foundation. 💡 What you’ll learn: • Core Python concepts from scratch • Variables, data types & user input • Real-world examples & hands-on practice • Step-by-step guidance to build confidence Whether you're a student, a career switcher, or someone curious about coding — this course is for you. 📅 Stay tuned for the official release — it’s coming very soon! If you're interested, drop a 👍 or comment below, and I’ll share early access details! #Python #Programming #LearnToCode #SoftwareTesting #Automation #Beginners #UdemyCourse
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Small daily improvements lead to massive long-term success. Success in Programming Doesn’t Come from Watching — It Comes from Practicing! I’m excited to share 201 Python Programming Exercises designed to help learners move from understanding concepts to truly mastering them. 💡 Every expert was once a beginner who refused to give up. This collection includes: ✔ 201 Hands-on Exercises ✔ 12 Structured Modules ✔ Beginner to Advanced Level ✔ Real Practice Scenarios ✔ Clear Solutions for Self-Check From data types and loops to functions, classes, file handling, and regular expressions, this guide is built to strengthen your logic, consistency, and coding confidence. 🚀 Remember One problem solved today is one step closer to becoming a better developer tomorrow. If you're serious about improving your Python skills, start practicing today. Discipline beats motivation — but motivation gets you started. 💪 Let’s grow, learn, and build together! #Python #PythonProgramming #LearnPython #Programming #Coding #SoftwareDevelopment #DeveloperLife #100DaysOfCode #TechSkills #ContinuousLearning #SkillDevelopment #GrowthMindset #CareerGrowth #PracticeMakesPerfect #KeepLearning
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🚀 Day 14 of Python Learning: Object-Oriented Programming (OOP) in Python Today I learned the basics of Object-Oriented Programming in Python. OOP helps organize code using classes and objects, making programs reusable and scalable. 🔹 What is OOP? OOP is a programming approach where we model real-world entities as objects with data and behavior. 🔸 What is a Class? A class is a blueprint for creating objects. Example: class Student: name = "Rohit" 🔸 What is an Object? An object is an instance of a class. Example: s1 = Student() print(s1.name) 🔸 Using Constructor (init) class Student: def init(self, name, age): self.name = name self.age = age s1 = Student("Rohit", 22) print(s1.name) 🔸 Method Example class Student: def greet(self): print("Hello Student") 💡 Key Learning: Classes define structure, while objects use that structure with real values. 🧪 Practice Task: ✔ Create a Car class ✔ Add brand and model using constructor ✔ Create object and print values ✔ Add one method to display details 🎯 Interview Question: What is the difference between class and object in Python? Answer: A class is a blueprint, while an object is a real instance created from that blueprint. 📌 Day 14 completed — stepping into advanced Python concepts! #Python #Learning #CodingJourney #Day14 #Programming #SDET #100DaysOfCode Masai #dailylearning #masaiverse
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