Python Operators: A Beginner's Guide

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

Starting your coding journey with Python..? 🐍💻 I’m sharing my complete Python handwritten notes covering everything from basics to important advanced concepts — perfect for beginners, students, and placement preparation. 💡 Inside these notes: 🔹 Python Basics & Syntax 🔹 Data Types & Operators 🔹 Conditional Statements & Loops 🔹 Functions & Recursion 🔹 Lists, Tuples, Sets & Dictionaries 🔹 OOPS in Python 🔹 File & Exception Handling 🔹 Important Interview Questions 🔹 Clean handwriting & quick revision points These notes focus on strong fundamentals, practical understanding, and easy revision 🚀🔥 All Credit goes to the original creator of the material. 📩 Comment "Python" or DM me to get the notes. DM for Collaboration. If you find this helpful, feel free to Repost & Follow Shivanshu Pratap singh for more tech learning content 👨💻 #Python #HandwrittenNotes #Programming #CodingJourney #Placements #DeveloperJourney

Starting your coding journey with Python..? 🐍💻 I’m sharing my complete Python handwritten notes covering everything from basics to important advanced concepts — perfect for beginners, students, and placement preparation. 💡 Inside these notes: 🔹 Python Basics & Syntax 🔹 Data Types & Operators 🔹 Conditional Statements & Loops 🔹 Functions & Recursion 🔹 Lists, Tuples, Sets & Dictionaries 🔹 OOPS in Python 🔹 File & Exception Handling 🔹 Important Interview Questions 🔹 Clean handwriting & quick revision points These notes focus on strong fundamentals, practical understanding, and easy revision 🚀🔥 All Credit goes to the original creator of the material. 📩 Comment "Python" or DM me to get the notes. DM for Collaboration. If you find this helpful, feel free to Repost & Follow Shivanshu Pratap singh for more tech learning content 👨💻 #Python #HandwrittenNotes #Programming #CodingJourney #Placements #DeveloperJourney

AI tools have transformed fields like software development and data science, and yes, in many cases, they'll write Python for you. But knowing what's actually happening under the hood still matters! Next month, I'm teaching TECH 19: A Practical Introduction to Python through Stanford Continuing Studies. It's an eight-week course designed for professionals who want a solid foundation in one of the world's most widely used programming languages. We'll cover the basics of Python and explore how to build useful tools, leverage powerful packages, and debug code, so you can work confidently alongside the AI tools rather than just depend on them. Enrollment is open now. If you've been meaning to finally understand Python, this is a great place to start! 🔗 https://lnkd.in/eTxm3CyB #Python #ContinuingEducation #DataScience #ProfessionalDevelopment

🚀 #Day13 of Python Learning Trainer: Manivardhan Jakka Today, I explored Tuples in Python 🐍 Tuples are one of the most important data structures in Python. They are: ✅ Ordered ✅ Immutable (cannot be changed after creation) ✅ Allow duplicate values 📌 Why Tuples are Important? Used to store fixed data Faster than lists Useful for returning multiple values from functions Protects data from accidental modification 🧠 Simple Example: # Creating a tuple numbers = (10, 20, 30, 40) print(numbers) print(type(numbers)) # Accessing elements print(numbers[1]) # Tuple with different data types student = ("Vishnu", 22, "Python") print(student) 💡 Key Learning: Since tuples are immutable, we cannot update, add, or remove elements once created. Consistency is building confidence 💪 One concept at a time, growing stronger every day 🚀 Program: 10000 Coders #Python #PythonLearning #CodingJourney #100DaysOfCode #Programmers #TechSkills #Learning #Developers #DataStructures

🐍 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

📘 Python Learning Series – Day 5 🐍 Continuing my Python learning journey, today I explored If-Else Statements in Python. 🔹 What are If-Else Statements? If-Else statements are used to execute different blocks of code based on conditions. They help programs make decisions. 🔹 Basic Syntax age = 18 if age >= 18: print("You are an adult.") else: print("You are a minor.") 🔹 Output You are an adult. 🔹 How it Works ✔ Python checks if the condition is True or False ✔ If the condition is True, the "if" block executes ✔ If the condition is False, the "else" block executes If-Else statements are very important because they allow programs to make decisions and perform different actions based on conditions. 📅 Next Post: Day 6 – Python Loops Follow along as I continue sharing daily Python learning notes 🚀 #Python #PythonLearning #CodingJourney #LearnPython #Programming #Developers

🔥 50 Python Pattern Programs – Build Logic Like a Pro! 🐍✨Pattern programs are the best way to strengthen logic, master loops, and gain confidence in Python coding 💻🚀This PDF of 50 Python Pattern Programs is specially designed for beginners and students who want to improve their problem-solving skills step by step 📘📌 What’s inside the PDF? ⭐ Star Pattern Programs 🔢 Number Pattern Programs 🔡 Alphabet Pattern Programs 🔁 Nested loop-based patterns 🎯 Exam & interview-oriented questions ✨ Perfect for: ✔ Python beginners ✔ College students (CSE / IT) ✔ Coding practice & logic building ✔ Interview and exam preparation 🚀 Practice daily. Think logically. Code confidently. 👉 Like ❤️ | Share 🔁 | Comment 💬 | #Python #PythonPatterns #50PythonPrograms #LearnPython #CodingPractice #Programming #LogicBuilding #CSStudents #ITStudentshashtag #CodeDaily #PythonLearning

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.

Python List Methods Every Beginner Should Know Start learning Python step by step https://lnkd.in/deqpUNgX Recommended courses Python for Everybody https://lnkd.in/dw3T2MpH CS50’s Introduction to Programming with Python https://lnkd.in/dkK-X9Vx Important Python list methods append() Adds a new item to the end of the list Example numbers = [1,2,3] numbers.append(4) clear() Removes all elements from the list Example numbers.clear() copy() Creates a shallow copy of the list Example new_list = numbers.copy() count() Counts how many times a value appears Example numbers.count(2) index() Returns the position of the first matching value Example numbers.index(3) insert() Inserts a value at a specific position Example numbers.insert(1, 10) pop() Removes and returns an item Example numbers.pop(2) remove() Removes the first occurrence of a value Example numbers.remove(3) reverse() Reverses the order of elements in the list Example numbers.reverse() Understanding list methods helps you write cleaner and faster Python code. #Python #Programming #LearnPython #Coding #ProgrammingValley