Python Programming Refresher Tutorial

Today I explored one of the most powerful data structures in Python – Dictionaries 🐍 📌 Key Takeaways: 🔹 Dictionaries store data in key-value pairs 🔹 Keys are unique, but values can be duplicated 🔹 Easy data access using keys 🔹 Efficient for storing structured data 💡 Important Operations Covered: ✔️ Creating dictionaries using {} and dict() ✔️ Accessing values using keys and .get() ✔️ Removing elements using del, .pop(), .clear() ✔️ Understanding dictionary length using len() ✔️ Using .popitem() to remove the last inserted item 📊 Dictionaries are widely used in real-world applications like: ➡️ JSON data handling ➡️ APIs ➡️ Database-like structures Learning dictionaries strengthens the foundation for real-world Python development 💻 🔥 Consistency is the key — one step closer to mastering Python! Global Quest Technologies ✨ #GlobalQuestTechnologies #GQT #Python #PythonProgramming #100DaysOfCode #CodingJourney #LearnPython #DataStructures #Programming #Developer #CodingLife #TechLearning #SoftwareDevelopment #PythonBasics #CareerGrowth

🐍 Documenting my Python learnings for Data Engineering use cases I’ve been working on strengthening my Python understanding specifically from a Data Engineering perspective. To keep things structured, I’ve been documenting my learnings in a GitHub repository — focusing only on concepts and use-cases that are relevant for working with data. The idea was to build something that: • Organizes key Python concepts in one place • Connects them to practical data-related use cases • Serves as a quick reference while revising If you already have some familiarity with Python and want a concise, organized way to revisit important concepts in a data-focused context, feel free to check it out 👇 🔗https://lnkd.in/gYdG3R7V Open to feedback and suggestions 🙂 #Python #DataEngineering #LearningInPublic

Python Learning Journey Today I explored some core fundamentals that build a strong foundation in Python development: ◆ Installed VS Code and set up the Python environment ◆ Learned about different Python flavors: CPython (default implementation) Jython (Java integration) IronPython (.NET framework) PyPy (fast execution with JIT) Anaconda Python (data science ecosystem) RubyPython (experimental) ◆ Understood Python versions and compatibility ◆ Compared Java vs Python with real examples ◆ Practiced basic syntax like printing messages using print() Key concepts covered: Identifiers in Python Data Types & their types (int, float, list, tuple, dict, etc.) Typecasting Operators in Python eval() function Conditional statements (if, else, elif) Range data type and its variants Every day is a step closer to mastering Python. Consistency is the key! #Globalquesttechnologies #G R Narendra Reddy #Python #Coding Journey #Learning Python #VSCode #Programming #Developer #100DaysOfCode #TechSkills

Master Python Basics: Identifiers, Keywords & PEP 8 in One Video! Understanding Python fundamentals is the first step to becoming a strong developer 💡 In this video, I’ve explained: 🔹 Identifiers – Naming rules in Python (what is valid & invalid) 🔹 Keywords – Reserved words like if, for, True, None – Why they cannot be used as identifier 🔹 PEP 8 (Python Style Guide) – Write clean & readable code – Use snake_case for variables and functions – Use PascalCase for classes – Follow proper indentation (4 spaces) 💻 Writing code is easy… ✨ Writing clean and professional code is what makes you stand out! 🎥 Watch the full video here: 👉 https://lnkd.in/g8p_hcBV

💥 A mistake I made as a Python developer (and what it taught me) Early in my career, I wrote a script that worked perfectly… locally. But when deployed to production: ❌ It crashed ❌ Data got duplicated ❌ Logs were useless I realized I had ignored: Proper error handling Logging Edge cases 💡 What I do differently now: ✔️ Always write logs (not just print statements) ✔️ Handle failures gracefully ✔️ Test with real-world scenarios 📌 Lesson: Code that works ≠ Production-ready code #Python #BackendDevelopment #Learning #SoftwareEngineering

Learn Python Sets in this complete beginner-to-advanced tutorial and understand how sets are used in real-world automation 🚀 Python sets are powerful data structures used to store unique values without duplicates, making them essential for data...

Day 2/100 Series 🐍 What is Python? Python is a simple and powerful programming language used to build: 💻 Websites 📊 Data analysis 🤖 AI & automation 👉 Why learn Python? Easy for beginners High demand skill Used in real-world projects Data Types 🧠 Python Data Types (Basics) 👉 int → whole numbers (5) 👉 float → decimals (3.5) 👉 string → text ("hello") 👉 bool → True/False 💡 Every value has a type. Which one confuses you most? 👇

Python Practice – HackerRank Problem Solving Journey I recently solved some important beginner-friendly Python problems on HackerRank. These helped me strengthen my understanding of lists, loops, and data handling in Python 💻🐍 📌 Problems I worked on: 🔹 List Comprehensions https://lnkd.in/g-DrCutV 🔹 Nested Lists https://lnkd.in/gvpYrFsu 🔹 Finding the Percentage https://lnkd.in/g5agsNK2 🔹 Python Lists https://lnkd.in/gr-Yr6V5 💡 What I learned: Writing clean and efficient code using list comprehensions Working with nested data structures (lists inside lists) Handling dictionaries and calculations in Python Improving logical thinking for coding problems 📈 These challenges really helped me build confidence in Python fundamentals and problem-solving skills. #Python #HackerRank #Programming #CodingJourney #DataStructures #ProblemSolving #LearningByDoing #SoftwareDevelopment

Deep Dive into Python Dictionaries yesterday, I explored key concepts of Python Dictionaries and strengthened my understanding of how they work in real-world scenarios 💡 🔹 Adding data to an empty dictionary 🔹 Heterogeneous data for both keys and values 🔹 Accessing dictionary data using keys 🔹 Keys can be any immutable type 🔹 Duplicate keys are not allowed but values can be duplicated 🔹 Dictionary is mutable 🔹 Another representation of dictionary using dict() 🔹 Deleting elements from dictionary 📌 Key Insight: Dictionaries are one of the most flexible and powerful data structures in Python, making data handling efficient and dynamic. Consistency is the key — learning something new every day and moving one step closer to becoming a better developer 💻🔥 #Globalquesttechnologies #GR Narendra Reddy #Python #LearningJourney #100DaysOfCode #Programming #DataStructures #Coding #DeveloperJourney #PythonBasics