Python Fundamentals at Global Quest Technologies

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 6 My Python Full Stack Training at Global Quest Technologies Continuing my Python learning journey, today’s session was focused on understanding operators in Python and how they are used to perform different types of operations in programs. Today’s session included: • Introduction to different types of operators in Python • Arithmetic operators (+, -, *, /, %, //, **) • Relational (comparison) operators (==, !=, >, <, >=, <=) • Logical operators (and, or, not) • Bitwise operators (&, |, ^, <<, >>) • Assignment operators (=, +=, -=, *=, etc.) • Identity operators (is, is not) • Membership operators (in, not in) • Understanding operator behavior with examples • Basic use of eval() function for evaluating expressions This session helped me understand how Python handles operations and how different operators are used in real-time programming scenarios. Looking forward to applying these concepts in coding practice and improving my problem-solving skills in Python. Thanks for our CEO G.R NARENDRA REDDY sir and Global Quest Technologies #Python #PythonOperators

💻 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 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 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

📚 Continuing my Python learning journey Today I focused on understanding lists in Python and explored their features, functions, and practical usage. Key concepts I learned and practiced: ----------------------------------------------------------- ● List basics & features – understanding the list data type and its flexibility ● Built-in functions – using len() and the list() constructor ● Creating lists – from strings, tuples, range(), and creating empty lists ● Type validation – using type() to check data types ●Accessing elements – using index, negative indexing, and slicing (range of indexes) ● Checking existence – verifying if an item exists in a list ● Modifying lists – changing single and multiple items ● Replacing items – updating with more or fewer elements ● Inserting items – adding elements without replacing existing ones using insert() Understanding how flexible lists are makes it clear why they are one of the most widely used data structures in Python. Step by step, I’m building a stronger foundation in Python programming and problem-solving. 🚀 #Python #Programming #LearningJourney #ComputerScience #Coding

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

How Long Does It Take to Learn Python Programming Language? How long does it take to learn python programming language? Honestly, this is the question every beginner asks before starting. And the real answer is it depends. It depends on how much time you give how consistently you practice and what you actually want to do with Python. If you just want to understand the basics like variables, loops and functions you can learn that in a few weeks. With daily practice many people get comfortable with Python in about 1 to 3 months. But if your goal is to build real projects like automation scripts, websites or even AI based apps then it will take more time usually 6 months or more to feel confident. One common mistake people make is watching too many tutorials and not practicing enough. Watching videos feels easy but real learning starts when you try things on your own, make mistakes and fix them. That’s where you actually grow. Python is a powerful language because it can be used in so many fields like cybersecurity, data science and artificial intelligence. So instead of worrying too much about how long it will take focus on what you want to build and start working towards it.At the end of the day learning Python is not about speed its about consistency. Just start keep practicing and don’t give up. Python is easy to learn but the real magic happens when you start building with it. #Python #LearnPython #PythonProgramming #Coding #Programming #CodeNewbie #PythonForBeginners #LearnCoding #TechSkills #DeveloperLife #CodingJourney #ProgrammingLife #SoftwareDevelopment

Python Programming – Notes for Beginners When learning Python or DSA, it’s easy to get stuck in long tutorials and feel overwhelmed. Simple, structured notes like this can really help to: • Quickly revise important concepts. • Build clarity in fundamentals. • Stay focused without distractions. From my experience: - Revisiting the same resource after a few days helps in understanding things much deeper. But also remember: - Notes give direction, - real learning happens when you practice. If you missed this earlier, this PDF is simple, beginner-friendly, and great for strengthening basics. Full credit to the original creator — Himani Saini 🙌 Comment below, How do you usually revise concepts — notes, practice, or both? I regularly share Python and DSA learnings here. #Programming #DSA #Python #Coding #LearnToCode #TechLearning #SoftwareEngineering #PythonDeveloper