Day 2 of my #100DaysOfCodewithAngelaYu journey with Python 💻 As a beginner, I spent the day exploring the fundamentals of programming and building my first small project — a Tip Calculator. Some of the key concepts I learned include: - Data types – understanding integers, floats, and strings. - Type errors, type checking, and type conversion – making sure inputs are valid and compatible for calculations. - Mathematical operations in Python – performing calculations and handling percentages. - Number manipulation and f-strings – formatting results neatly for the user. 𝐌𝐢𝐧𝐢 𝐏𝐫𝐨𝐣𝐞𝐜𝐭: Tip Calculator 💰 For my Day 2 project, I created a Tip Calculator in Python. This small program allows a user to: - Enter the total bill amount - Specify a tip percentage - Indicate how many people will split the bill The program then: - Calculates the tip based on the percentage - Adds it to the total bill - Divides the total by the number of people - Outputs the final amount per person, rounded to 2 decimal places using f-strings This project helped me see how these building blocks come together to create a working, interactive program. I’m excited to continue my journey and explore more Python projects, including interactive apps with Streamlit, in the coming days! 🚀 #Python #100DaysOfCode #LearningByDoing #CodingJourney #Streamlit

Excited to share my Python Task Management System project! This is a beginner-friendly learning project where I built a CLI-based task manager to: Add, update, and delete tasks ✅ View current tasks easily ✅ Practice Python lists, loops, conditions, and user input ✅ Every line of code is explained with comments to help beginners understand how it works. It’s a perfect first project to try out for anyone starting Python. Check out the full project on GitHub: [https://lnkd.in/dEGR--Ev] Best practices for beginners included: Clear variable naming Commenting every line for learning Simple menu-driven interface Error handling for user input. #Python #TaskManagement #Coding #Programming #GitHubProjects #BeginnerPython #LearningProject #CLIProject #CodeWithComments #WomenInTech #Python #TaskManagement #Coding #Programming #GitHubProjects #BeginnerPython #LearningProject #CLIProject #CodeWithComments #WomenInTech #TechProjects #DevCommunity #LearnPython #SoftwareDevelopment #ProjectBasedLearning #PythonProjects #CodeNewbie #TechLearning #BuildInPublic

Completed Advanced Python course This course will help you gain an understanding of Python's capabilities beyond basic syntax with a focus on widely accepted Pythonic constructs and procedures that will enable you to write reliable, optimized, and modular applications. This very hands-on course includes a deep dive into Pythonic data structures, exception handling, meta programming, regular expression, advanced file-handling, asynchronous programming, and more. At the completion of the course, you will also gain an understanding of unit testing in Python with lab-based practices designed to help you create and run unit test cases. Course objectives This course has 50% hands-on labs to 50% lecture ratio with engaging instruction, demos, group discussions, labs, and project work in which you’ll learn: • Enhancements to classes • Advanced Python metaprogramming concepts • Writing robust code using exception handling • Working with different data structures supported in Python • Search and replace text with regular expressions • Easy-to-use and easy-to-maintain modules and packages • Creating multithreaded and multi-process applications • Implementing and execute unit tests © Global Knowledge Training LLC  #Skillsoft #GlobalKnowledge #Python #AdvancedPython Skillsoft Global Knowledge @AdvancedPython Ali El-Sherif

🚀 Day 14 – Python Practice Project: CLI Student Record Manager Today I built a simple CLI Student Record Manager using Python to practice the core concepts I have been learning in my Python journey. This small project helped me combine several Python fundamentals to create a command-line application that can manage student records. 🔹 Program features: • Add a new student record • View all student records • Search for a student • Save records to a JSON file • Automatically load records when the program starts 🔹 Concepts I practiced: • Python data types – lists, dictionaries, and strings • Loops and conditional statements • Functions and Object-Oriented Programming (OOP) using classes • Exception handling using try/except • JSON parsing for saving and loading data • Building a CLI (Command Line Interface) application Working on this project helped me understand how multiple Python concepts work together to build a small but functional application. Continuing to strengthen my Python fundamentals by building small practical projects. #DataEngineering #Python #NewCareer #AI #SelfLearning

🐍 Master Python the Right Way — With Practical Programs When many people start learning Python, they focus mainly on syntax, tutorials, and theory. But the real progress happens when you practice, build programs, and solve problems on your own. That’s where true programming confidence comes from. 📘 What this Python practice collection includes ✔ Beginner → advanced Python programs with clear explanations ✔ Pattern-based exercises to strengthen fundamentals ✔ Logic-building problems that improve problem-solving skills 💡 The real benefit You don’t just learn how to write code. You start learning how to think like a programmer. And that skill applies to every programming language you learn later. 🎯 Perfect for • Preparing for technical interviews • Participating in coding challenges • Building real-world Python projects Once you start practicing consistently like this, your confidence in Python (and programming in general) improves dramatically. 💭 Fun question: What was your first Python program? For many developers, it’s the classic Hello World — simple, but the start of everything. If this helped, save or share it with someone learning Python. #Python #Programming #Coding #DataScience #InterviewPreparation #Learning #CareerGrowth #100DaysOfCode

While learning Python, I experimented with a simple but interesting project: a random password generator. The original version I found (from freeCodeCamp) uses a very compact and elegant Python approach: password = "".join(random.choice(all_chars) for _ in range(length)) It’s concise and very “Pythonic”. here the link of the original version: https://lnkd.in/eZvBM2au To better understand the logic, I first implemented a simpler version using a loop: password = "" for i in range(length):     password += random.choice(all_chars) Both solutions generate a random password, but they highlight an important lesson when learning to code: 👉 Sometimes a simpler and more explicit approach helps you understand the logic before moving to more elegant patterns. After that, I added a few small improvements to personalize the program: • a short introduction message for the user • a small delay using time.sleep() to make the interaction more natural • formatted output using Python f-strings It's a small project, but it’s a great way to practice combining: •functions •loops •random generation •Python modules like string and random Learning programming is often about exploring different ways to solve the same problem. #Python #LearningToCode #Programming #ContinuousLearning

Here are easy tips to learn Python quickly 🐍 1. Start with Basics Learn basic concepts first: Variables Data types (int, float, string) Input and output Operators 2. Practice Daily Write small Python programs every day like: Add two numbers Find even or odd number Simple calculator 3. Understand Syntax Python syntax is simple. Focus on: if-else conditions for loop while loop 4. Learn by Writing Code Do not only read. Type and run code yourself. Example: name = input("Enter your name: ") print("Hello", name) 5. Use Online Platforms Practice coding on platforms like: HackerRank LeetCode ECL365 YOUTUBE Channel 6. Build Small Projects After basics, create simple projects: Number guessing game Calculator Student marks program 7. Watch Tutorials and Repeat Watch Python tutorials and write the same code yourself. 8. Learn Libraries Slowly After basics, start learning libraries like: NumPy Pandas TensorFlow 9. Read Errors Carefully Errors help you learn. Always read the error message and fix it.

I teach a lot of Python courses. And I don't use slides. Instead, every course is in its own Git repository and uv project. During each class sessions, I live-code into a Jupyter or Marimo notebook. Setting this all up isn't a lot of work. It used to require a few minutes for each class, and some minimal thought and planning. At some point, I decided to automate process with some Python. (I mean, I'm a programmer, right?) After automating the setup, I realized that there were a bunch of other things I could automate, too. The result? My course-setup package, now available on PyPI. It has gotten a lot of love, attention, and improvement in the last few days, thanks in no small part to Claude Code. If you teach Python, then this might be useful to you. And if so, then please let me know what additional features you might want! Check it out: https://lnkd.in/dZJSJXDK

Most Python beginners don't know this exists — and most seniors actively avoid it. Python allows multiple statements on a single line using a semicolon. x = 5; y = 10; z = x + y; print(z) This executes exactly the same as: x = 5 y = 10 z = x + y print(z) The semicolon simply tells the interpreter: "one statement ended, another begins." It works. It's valid Python. But you almost never see it in professional codebases — because readability always wins. Clean, separated lines are easier to debug, easier to review, and easier for the next person (or future you) to understand. I've been revisiting core Python concepts lately, and it's surprising how many small details get glossed over when you're first learning. The fundamentals always have more depth than they first appear. What's a small Python detail that caught you off guard when you first learned it? Drop it in the comments 👇 #Python #Programming #Coding #SoftwareDevelopment #Learning

Most people don’t forget Python They forget it because they stop using it. That was my problem. I came back to coding and realized something frustrating: I understood the concepts… but I couldn’t remember the syntax clearly. So instead of just relearning randomly, I did something different. I built a complete Python A–Z repository — not just to learn, but to never forget again. What makes this different? This is NOT just notes. This is a structured, practical guide designed to: 1. Help you quickly recall Python syntax after a break 2. Give you clear explanations with examples 3. Take you from basics to advanced step by step 4. Be your go-to reference anytime you feel lost What’s inside? 1. Python Fundamentals 2. Control Flow 3. Loops 4. Data Structures 5. Functions 6. Object-Oriented Programming (OOP) 7. File Handling  8. Error Handling 9. Modules & Packages 10. Advanced Python (Decorators, Generators, etc) Why I’m sharing this: Because I know many people struggle with the same thing: You learn… you stop… you forget… you start again. This is built to break that cycle. GitHub Repository: https://lnkd.in/dUSyqH2h What’s next? 1. More projects. 2. More practical content. 3. More real-world applications. I’ll keep sharing everything I build along the way. If you're learning Python or working on improving your skills, follow me I’ll be sharing practical content that actually helps. And tell me: What’s the hardest thing for you in Python right now? #Python #Programming #AI #MachineLearning #DataScience #SelfLearning