Python Operators: Understanding Arithmetic, Relational, and Logical Operations

Day 10 My Python Full Stack Training at Global Quest Technologies Continuing my Python learning journey, today’s session focused on deeper concepts of Python Lists and how memory works behind the scenes. Today’s session included: • Understanding identity (id) of objects in Python • Learning the concept of Cloning of Lists (creating an exact copy of a list) • Exploring methods to clone lists: Using Slice Operator ([:]) Using copy() method • Understanding Aliasing of Lists (assigning another reference to the same list) • Difference between Cloning vs Aliasing • Hands-on practice with list operations and outputs 💡 Key Takeaway: Cloning creates a new object with a different identity, whereas aliasing refers to the same object in memory. Understanding this helps avoid unexpected changes in data while coding. This session gave me a clear understanding of how Python handles data internally and improved my confidence in working with lists. Looking forward to learning more advanced concepts and improving my coding skills Thanks our CEO G.R NARENDRA REDDY sir and Global Quest Technologies Python #LearningJourney #DataStructures #PythonLists

Day 7 of my Python Full Stack Training at Global Quest Technologies As part of our continuous Python learning journey, today’s session focused on understanding Loops and Strings in Python in detail. We learned about different types of loops, including: • For loop – used to iterate over sequences like lists, tuples, and strings • While loop – executes a block of code as long as a condition is true • Nested loops – loops inside another loop We explored key concepts of loops: • Using range() function for iteration • Iterating through sequences like strings and lists • Controlling loops using break, continue, and pass • Writing simple programs using loops We also learned about Strings in Python: • Strings as a sequence of characters • String indexing and slicing • String operations and concatenation • Common string methods • Iterating through strings using loops I would like to thank Swamy Sir, our Python Trainer, for his excellent teaching and continuous support. Heartfelt thanks to CEO Narendra Reddy Sir for giving us this wonderful opportunity to learn and grow at Global Quest Technologies. G.R NARENDRA REDDY #Python #FullStack #PythonTraining #Loops #Strings #Programming #GlobalQuestTechnologies #LearningJourney #Coding #Bangalore

Day 5 of my Python Full Stack Training at Global Quest Technologies Continuing my Python learning journey, today’s session focused on understanding some fundamental programming concepts that are essential for writing Python programs effectively. Today's learning highlights: • Understanding Type Casting and how to convert one data type into another using built-in functions like "int()", "float()", "bool()", "complex()", and "str()" • Learning about different data types in Python such as "int", "float", "complex", "bool", "str", "list", "tuple", "set", "dict", "range", and "bytes" • Exploring how to check the data type of a variable using the "type()" function • Understanding Python keywords (reserved words) and their role in the programming language • Learning about Identifiers (variable names) and the rules for naming variables in Python • Understanding how Python uses indentation instead of braces to define code blocks • Writing our first simple program using the "print()" function to display messages This session strengthened my understanding of Python basics and how important these concepts are for building strong programming foundations. Excited to continue learning and improving my skills in Python Thanks for our CEO G.R NARENDRA REDDY sir and Global Quest Technologies #Python #LearningJourney #PythonProgramming #FullStackDevelopment

🚀 Day 7 of My Python Full Stack Development Journey Continuing my training at Global Quest Technologies, Yelahanka. Today’s session focused on loops and strings in Python, which are very important for writing efficient and structured programs. 📌 Concepts Covered 🔹 Loops in Python Learned about the two main types of loops in Python: for loop – used when we want to repeat a block of code for a specific number of times or over a sequence while loop – used when we want to repeat a block of code as long as a condition is true We also practiced examples using both for and while loops. 🔹 Strings Understood that a string is a sequence of characters used to store text in Python. 🔹 Multiline String Literals Learned how to write strings in multiple lines using triple quotes, which is useful for storing long text. 🔹 Accessing Individual Characters Using Index Explored how to access each character in a string using indexing. Example: In "Python" s[0] gives P s[1] gives y 🔹 Slice Operator Learned how to extract a part of a string using the slice operator. Example: For "Python" s[0:3] gives Pyt s[2:6] gives thon Today’s session helped me understand how loops reduce repetitive work and how strings can be accessed and manipulated in Python. Step by step, I’m building a stronger foundation in Python and moving forward in this learning journey. 💻 #Python #FullStackDevelopment #LearningJourney Global Quest Technologies #Programming G.R NARENDRA REDDY Global Quest Technologies

Day 11 My Python Full Stack Training at Global Quest Technologies Continuing my Python learning journey, today’s session focused on advanced operations on Lists and writing more efficient Python code. Today’s session included: • Using Concatenation Operator (+) on lists to combine multiple lists • Understanding Multiplication Operator (*) to repeat list elements • Exploring Membership Operators (in / not in) to check element presence • Learning about Nested Lists (lists inside lists) and accessing their elements • Introduction to List Comprehension for writing concise and powerful code Key Takeaway: List operations and comprehensions make Python code more efficient, readable, and powerful, especially when handling large data sets. This session enhanced my understanding of how to manipulate and optimize data using Python lists. Thanks for our CEO G.R NARENDRA REDDY sir and Global Quest Technologies #Python #LearningJourney #DataStructures #PythonLists

Day 8 My Python Full Stack Training at Global Quest Technologies As part of my continuous learning journey, today’s session focused on String Methods and String Operations in Python. We learned how to manipulate strings using different built-in methods and slicing techniques. Topics covered today: • strip() method – removes spaces from left and right side of string • split() method – splits the string into parts • join() method – combines list elements into string • replace() method – replaces old value with new value • upper() and lower() – convert string case • swapcase() – converts lowercase to uppercase and vice versa • title() – converts first letter of every word into capital • capitalize() – converts first letter of first word into capital • startswith() and endswith() – checks starting and ending characters • String formatting using {} and format() method • Slice operator [ : ] – used to extract part of string • Index, start, end, and step values in slicing Thanks for our CEO G.R NARENDRA REDDY sir and Global Quest Technologies #Python #FullStack #PythonTraining #GlobalQuestTechnologies #StringMethods

Day 10 of My Core Python Development Journey Continuing my training at Global Quest Technologies, Yelahanka. Today’s session focused on advanced list operations and memory concepts in Python, which are essential for efficient data handling. 📌 Topics Covered 🔹 remove() Function Learned how to remove a specific element from a list using remove(). It deletes the first matching value from the list. 🔹 pop() Function Understood how pop() removes and returns an element based on index. If no index is given, it removes the last element. 🔹 clear() Function Learned how to delete all elements from a list using clear(), making the list empty. 🔹 reverse() Function Explored how to reverse the order of elements in a list using reverse(). 🔹 sort() Function Learned how to sort elements in a list using sort() in ascending order by default. 🔹 Descending Order Sorting Understood how to sort a list in descending order using sort(reverse=True). 🔹 id() Function Learned about the id() function, which returns the memory address of an object, helping to understand how Python stores data. 🔹 Aliasing of Lists Explored aliasing, where two variables refer to the same list object. Any changes made using one variable will reflect in the other. 🔹 Cloning of Lists Learned how to create a copy of a list (cloning) so that changes in one list do not affect the other. Methods include slicing and using copy(). Today’s session helped me understand how to efficiently manage and manipulate lists along with memory concepts in Python. Step by step, I’m improving my problem-solving skills and becoming more confident in coding. 💻 G.R NARENDRA REDDY Global Quest Technologies #Python #FullStackDevelopment #LearningJourney #Programming #Coding

💻 Day 9 – Python Full Stack Trainee Learning Journey Today I explored lists, nested lists, and string manipulations in Python. Here’s what I learned: Lists are used to store multiple items in a single variable. They are mutable, which means we can change their content after creation. Lists can contain different data types, including other lists (nested lists), which helps in storing complex data. Common list methods I practiced today: .append() → adds a single item at the end .extend() → adds multiple items or characters individually .remove() → deletes a specific element .pop() → removes an element by index or the last element I also practiced splitting strings, which is useful for handling structured input like time or CSV data. Understanding indexes in lists and nested lists is important to access the exact data we need. Small, consistent steps every day make Python learning easier and more practical. GitHub: https://lnkd.in/giyEbqTH #Python #100DaysOfCode #LearnPython #CodingJourney #ProgrammingBasics #Day9 #codegnan

Day 9 My Python Full Stack Journey Continuing my learning at Global Quest Technologies, today’s session focused on the List data structure in Python, which is used to store multiple items in a single variable. Topics covered: 🔹 Introduction to Lists • Lists are used to represent multiple objects as a single entity • Learned how to create lists using [] (list literals) and the list() function 🔹 Key Features of Lists • Supports heterogeneous elements (different data types) • Duplicates are allowed • Order of insertion is preserved • Supports both positive and negative indexing • Lists are mutable (can be modified after creation) 🔹 Accessing List Elements • Accessed elements using indexing • Extracted portions using the slice operator 🔹 Traversing Lists • Learned how to iterate through list elements using loops • Practiced examples for better understanding 🔹 Important List Methods • "len()" • "count()" • "index()" • "append()" • "insert()" • "extend()" This session helped me understand how to work with collections of data efficiently and perform various operations on lists. #Python #FullStack #LearningJourney #lists

🚀 Python Basics to Advanced Learning Series – Day 8 I’m continuing my Python learning journey at Global Quest Technologies, and today’s session helped me go deeper into how lists work internally. What I learned today: • Revised and practiced all built-in functions used with lists • Understood the id() function and how it shows the memory location of an object • Learned about aliasing in lists (when two variables refer to the same list) • Understood how changes in one variable affect the other due to shared reference • Learned cloning of lists to create a separate copy • Two ways to clone a list: Using slice operator ([:]) Using copy() method This session helped me clearly understand the difference between reference (aliasing) and independent copies (cloning). It also improved my understanding of how Python manages data in memory. Practicing these concepts gave me more clarity on writing efficient and bug-free code. I’m learning step by step at Global Quest Technologies, and every day I’m gaining better understanding and confidence in Python. Excited to continue this journey 🚀 #Python #PythonProgramming #LearningJourney #Coding #DataStructures #Lists #ProblemSolving #SoftwareDevelopment #TechLearning #Developers #GlobalQuestTechnologies #GQT