Python List Operations and Memory Concepts at Global Quest Technologies

Day 21 – Python Full Stack Journey 📍 At Global Quest Technologies Today’s session focused on advanced function concepts and introduction to Object-Oriented Programming (OOP) in Python. 📌 Topics Covered 🔹 Function Aliasing • Learned how one function can be assigned to another variable • Multiple references can point to the same function 🔹 Nested Functions • Functions defined inside another function • Helps in better structure and encapsulation 🔹 Generating Random Numbers • Used Python’s random module to generate random values • Useful for simulations and real-time applications 🔹 Method Overloading • Understood concept of using same method name with different parameters • Learned Python handles it differently using default arguments 🔹 Object-Oriented Programming (OOP) • Introduction to OOP concept • Focus on organizing code using objects and classes 🔹 What is Object-Oriented Programming? • A programming paradigm based on objects • Helps in code reusability, modularity, and scalability 🔹 What is a Class? • A blueprint for creating objects • Defines properties (variables) and behaviors (methods) 💡 Today’s learning helped me understand how to structure programs using functions and OOP concepts for better development practices. Step by step, I’m becoming more confident in Python and software development. 💻 #Day21 #PythonJourney #FullStackDevelopment #PythonLearning #CodingLife G.R NARENDRA REDDY Global Quest Technologies

🚀 Day 11 of My Python Full Stack Development Journey Continuing my learning at Global Quest Technologies, Yelahanka, today’s session focused on advancing my understanding of Python Lists and their powerful operations. 📌 Concepts Covered 🔹 List Operations Concatenation (+) and Multiplication (*) Comparison Operators (==, !=) Relational Operators (>, >=, <, <=) Membership Operators (in, not in) 🔹 Nested Lists Learned how lists can contain other lists and how to access elements within them. 🔹 List Comprehension Explored a concise and efficient way to create lists using simple and readable syntax. 📌 Key Takeaways Lists are dynamic (can grow or shrink) Order is preserved Duplicates are allowed Supports both positive and negative indexing Lists are mutable Can store heterogeneous data types This session helped me strengthen my understanding of how flexible and powerful lists are in Python. Consistently building my programming fundamentals step by step. 💻 #Python #FullStackDevelopment #LearningJourney Global Quest Technologies G.R NARENDRA REDDY #Programming #Coding

Day 20 – Python Full Stack Journey 📍 At Global Quest Technologies Today’s session focused on Lambda Functions in Python and their real-time usage with built-in functions. 📌 Topics Covered 🔹 Lambda Functions • Learned anonymous (inline) functions using lambda • Useful for short, one-line operations 🔹 Functions Accepting Lambda Functions • filter() – Filters elements based on condition • map() – Applies function to each element • reduce() – Performs cumulative computation 🔹 Practiced Programs • Implemented multiple examples using filter(), map(), and reduce() • Understood real-time use cases and efficiency 💡 These concepts helped me write more concise and optimized Python code. Step by step, I’m improving my problem-solving skills and coding efficiency. 💻 #Day20 #PythonJourney #FullStackDevelopment #PythonLearning #CodingLife G.R NARENDRA REDDY Global Quest Technologies

🚀 Day 14 of My Python Full Stack Development Journey Continuing my training at Global Quest Technologies, Yelahanka. Today’s session focused on Sets in Python and performing various operations on sets, along with solving practical programs. 📌 Topics Covered 🔹 Mathematical Operations on Sets Learned different operations that can be performed on sets: • Union (|) – combines elements from both sets • Intersection (&) – common elements • Difference (-) – elements present in one set but not in another • Symmetric Difference (^) – elements present in either set but not both 🔹 Union vs Intersection Understood the difference: • Union gives all unique elements from both sets • Intersection gives only common elements between sets 🔹 Set Comprehension Learned how to create sets using a concise syntax similar to list comprehension. Today’s session helped me understand how to efficiently work with sets and perform mathematical operations in Python. Step by step, I’m improving my problem-solving skills and gaining confidence in coding. 💻 #Python #FullStackDevelopment #LearningJourney #Programming #Coding G.R NARENDRA REDDY Global Quest Technologies

Python Full Stack Journey – Day 18 to Day 2At Global Quest Technologies 📌 Days 18 & 19 – Functions in Python 🔹 Types of Functions • Standard Function • Function Returning Multiple Values • Default Arguments • Variable Length Arguments 🔹 Parameters • Actual Parameters – Values passed • Formal Parameters – Defined in function 🔹 Variable Length Arguments • *args (Non-keyworded) • **kwargs (Keyworded) 🔹 Function Module & Library • Reusability • Importing modules 🔹 Variables • Local Variables • Global Variables 📌 Day 20 – Lambda Functions 🔹 Lambda Functions • Anonymous, one-line functions 🔹 Functions Using Lambda • filter() – Condition-based filtering • map() – Applies function to elements • reduce() – Performs cumulative operations 🔹 Practice • Implemented real-time examples using all three 📌 Day 21 – Advanced Concepts & OOP 🔹 Function Aliasing • One function assigned to another variable 🔹 Nested Functions • Function inside another function 🔹 Random Module • Generating random values 🔹 Method Overloading • Same method with different parameters 🔹 Object-Oriented Programming (OOP) • Concept based on objects 🔹 Class • Blueprint for creating objects • Contains properties & methods 💡 These days helped me understand functions deeply, optimize code using lambda, and start OOP concepts. Thankyou G.R NARENDRA REDDY Sir and Global Quest Technologies for their continuous support and motivation. #Day18 #Day19 #Day20 #Day21 #PythonJourney #FullStackDevelopment #PythonLearning #CodingLife #GlobalQuestTechnologies

Day 24 – Python Full Stack Development Journey 📍 At Global Quest Technologies Today’s session focused on advanced class concepts in Python, including variables, methods, and structured programming practices. 📌 Topics Covered 🔹 Static Variables in Python • Learned different places where static variables can be declared • Accessed using both class name and object • Useful for sharing common data across all objects 🔹 Types of Methods in Python • Instance Methods • Class Methods • Static Methods 🔹 Setter and Getter Methods • Used to set and access values of variables • Helps in data encapsulation and control 🔹 Inner Classes • Class defined inside another class • Used to logically group related classes 🔹 Practical Programs • Declared and accessed static variables in different ways • Implemented setter and getter methods • Demonstrated instance, class, and static methods • Created inner classes and accessed their members 💡 Today’s learning helped me understand how to organize code efficiently using classes, methods, and variables in Python. Step by step, I’m building strong OOP concepts and improving my coding skills. 💻 #Day24 #PythonJourney #FullStackDevelopment #PythonLearning #OOP #CodingLife #GQT #SoftwareDevelopment #Softwareindustry G.R NARENDRA REDDY Global Quest Technologies

🚀 Continuing My Python Learning Journey at Global Quest Technologies I’m excited to share the next phase of my Python practice, where I focused on functions, recursion, and advanced data structures. This set of programs helped me deepen my understanding of how Python works beyond the basics. 📌 Key areas I explored: 🔹 Functions: Writing reusable logic for tasks like prime checking, factorial, Fibonacci, string operations 🔹 Recursion: Solving problems like factorial, Fibonacci series, GCD, LCM, string reversal, and more 🔹 Data Structures: Working with tuples, sets, and dictionaries for efficient data handling 🔹 Set Operations: Union, intersection, difference, and subset checks 🔹 Dictionary Operations: Creating, updating, merging, and analyzing data 🔹 Iteration Techniques: Using both for and while loops effectively 🔹 String & Collection Handling: Word count, largest/smallest elements, conversions between data types 💡 This phase strengthened my understanding of problem decomposition, recursion logic, and efficient data handling techniques in Python. 📈 Step by step, building a strong foundation towards advanced Python concepts and real-world applications! #Python #CodingJourney #Programming #Recursion #DataStructures #Learning #PythonDeveloper

Day 8|#60Daysplacementsprintchallenge Today I learned about the if condition in Python. The if statement is used to make decisions in a program. It checks whether a condition is true or false. If the condition is true, the program runs the code inside the if block. If it is false, the program skips that part. Dhee Coding LabProdhee Technologies

Day 23 My Python Full Stack Development Journey At Global Quest Technologies Today's session focused on understanding constructors, methods, and variables in Python, which are essential for writing structured and efficient programs. Topics Covered Difference Between Constructor and Normal Method Constructor (_init_) is automatically executed when an object is created Used to initialize object data Normal methods are user-defined and called explicitly Used to perform operations or define behavior Types of Variables in Python Instance Variables Local Variables Global Variables Instance Variable Defined inside a class using self Specific to each object Used to store object-related data Today's concepts helped me understand how Python manages data within classes and how constructors and variables play a key role in OOP. Thanks for our CEO G.R NARENDRA REDDY sir and Global Quest Technologies

Google definitely has a better human interface than Microsoft. They not only presented their proposals but also showed a demo of Python coding, which made it very easy to understand.