Python Loops and Strings at Global Quest Technologies

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 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 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 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

🚀 Master Advanced Python & Prove Your Expertise! Ready to move beyond the basics and become a confident Python developer? The StudySection Advanced Python Certification Exam is designed to validate your real-world programming knowledge and help you stand out in today’s competitive tech industry. 💡 Why Choose the Advanced Python Certification? ✔ Validate your advanced Python programming skills ✔ Strengthen your understanding of OOP, modules, and frameworks ✔ Enhance your coding confidence for real-world projects 📚 Take the next step in your programming journey and showcase your expertise with confidence. 👉 Start your certification journey today: https://lnkd.in/dhE2iY9m #StudySection #PythonCertification #AdvancedPython #PythonDeveloper #ProgrammingSkills #SoftwareDevelopment #OnlineCertification #TechCareers #LearnPython #PythonProgramming #CareerGrowth #CodingSkills #Technology #OnlineLearning Varun Chopra Meenakshi Arora Karanpreet Kaur Vikas Sharma

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 9 of My Python Full Stack Development Journey Continuing my training at Global Quest Technologies, Yelahanka. Today’s session focused on the list data type in Python, which is one of the most commonly used data structures. 📌 Concepts Covered 🔹 List Data Type A list is a collection of elements that can store multiple values in a single variable. Lists are ordered and mutable, which means we can modify them. 🔹 Accessing Elements using Slice Operator Learned how to access a range of elements from a list using slicing. 🔹 Traversing List Elements Understood how to iterate through list elements using loops. 🔹 Built-in Functions and Methods in List len() → returns the number of elements in the list count() → returns the number of occurrences of a specific element index() → returns the position of a specific element append() → adds an element at the end insert() → adds an element at a specific position extend() → adds multiple elements to the list Today’s session helped me understand how to store, access, and manipulate multiple values efficiently using lists. Building my Python fundamentals step by step. 💻 #Python #FullStackDevelopment #LearningJourney Global Quest Technologies G.R NARENDRA REDDY #Programming

🚀 Day 8 of my Python Full Stack Journey Continuing my training at Global Quest Technologies, today’s session focused on string operations and formatting in Python, which play a key role in handling and processing text data. Key learnings: 🔹 String Slicing • Explored how to extract parts of a string using the slicing operator "[:]" • Practiced using start index, end index, and step values • Gained clarity on retrieving specific portions using different index combinations 🔹 String Methods Worked with important built-in methods such as: • "strip()" • "split()" • "join()" • "replace()" • "upper()" and "lower()" • "swapcase()" • "title()" and "capitalize()" • "startswith()" and "endswith()" 🔹 String Formatting • Learned to use curly braces "{}" for formatting strings, making outputs cleaner and more dynamic This session helped me strengthen my understanding of string handling and improved my ability to write more structured Python programs. 🙏 Thankful to G.R NARENDRA REDDY Sir and Global Quest Technologies for their continuous support and guidance. #Python #FullStack #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