Day 9 – Python Full Stack Training at Codegnan Today’s session focused on List Comprehension in Python and implementing it to solve problems like finding the sum of squares efficiently. List comprehension provides a concise and powerful way to create lists and perform operations in a single line, making code more readable and optimized. 🔹 Key Concepts Learned: • Introduction to List Comprehension • Syntax and structure of list comprehension • Creating lists using single-line expressions • Writing programs to generate squares of numbers • Calculating the sum of squares using list comprehension • Comparing traditional loops vs list comprehension for efficiency 🔹 Example: numbers = [1, 2, 3, 4, 5] squares = [x**2 for x in numbers] sum_of_squares = sum(squares) print("Squares:", squares) print("Sum of Squares:", sum_of_squares) This approach makes code cleaner, faster, and more efficient, which is very useful in real-world Python applications. Grateful for the continuous guidance and support from our mentors throughout this learning journey. Saketh Kallepu Anand Kumar Buddarapu Uppugundla Sairam Pooja Chinthakayala #Python #ListComprehension #PythonProgramming #FullStackDevelopment #Codegnan #LearningJourney #SoftwareDevelopment

Day 7 – Python Full Stack Training at Codegnan Today’s session focused on Tuples and Sets in Python, two important data structures used to store and manage collections of data. Understanding when and how to use these data structures helps in writing more efficient and structured Python programs. 🔹 Key Concepts Learned: Tuples • Introduction to tuples • Creating tuples in Python • Accessing elements using indexing • Understanding immutability (tuples cannot be modified after creation) • Practical use cases of tuples in programming Sets • Introduction to sets • Creating sets in Python • Understanding that sets store unique elements • Basic set operations such as adding and removing elements • Importance of sets for handling duplicate-free data Learning these concepts helps developers choose the right data structure for different programming scenarios. Grateful for the continuous guidance and support from our mentors throughout this learning journey. Saketh Kallepu Anand Kumar Buddarapu Uppugundla Sairam Pooja Chinthakayala #Python #Tuples #Sets #PythonProgramming #FullStackDevelopment #Codegnan #LearningJourney #SoftwareDevelopment

Day 7 – Python Full Stack Training at Codegnan Today’s session focused on Dictionaries in Python, an important data structure used to store data in key–value pairs. Dictionaries are very powerful when it comes to organizing and retrieving data efficiently, especially in real-world applications where structured information needs to be stored. 🔹 Key Concepts Learned: • Introduction to Dictionaries • Creating dictionaries using key–value pairs • Accessing values using keys • Adding and updating elements in a dictionary • Removing elements using dictionary methods • Understanding commonly used methods like keys(), values(), and items() Dictionaries are widely used in Python applications for data organization, fast lookup, and structured data management. Grateful for the continuous guidance and support from our mentors throughout this learning journey. @Saketh Kallepu @Anand Kumar Buddarapu @Uppugundla sairam @Pooja chinthakayala #Python #Dictionary #PythonProgramming #FullStackDevelopment #Codegnan #LearningJourney #SoftwareDevelopment

Day 6 – Python Full Stack Training at Codegnan Today’s session focused on Sequence Operations in Python, which are essential for working with ordered collections of data such as strings, lists, and tuples. Sequence operations help developers access, manipulate, and analyze data efficiently within these data structures. 🔹 Key Concepts Learned: • Indexing – Accessing elements using their position • Slicing – Extracting a portion of a sequence • Concatenation – Combining two sequences using + • Repetition – Repeating sequence elements using * • Membership Operations – Using in and not in to check elements • Length Function – Using len() to find the number of elements Understanding sequence operations is very important for handling and processing data effectively in Python programs. Grateful for the continuous guidance and support from our mentors throughout this learning journey. Saketh Kallepu Anand Kumar Buddarapu Uppugundla Sairam Pooja Chinthakayala #Python #SequenceOperations #PythonProgramming #FullStackDevelopment #Codegnan #LearningJourney #SoftwareDevelopment

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 – Python Full Stack Training at Codegnan Today’s session focused on exploring more String Methods in Python, which are very useful for processing, formatting, and analyzing text data in applications. String manipulation is a fundamental skill in programming, especially when working with user inputs, data cleaning, and text-based operations. 🔹 Key Concepts Learned: • capitalize() – Converts the first character of a string to uppercase • title() – Converts the first character of each word to uppercase • replace() – Replaces a specific part of a string with another value • count() – Counts how many times a substring appears • startswith() – Checks if a string starts with a specific value • endswith() – Checks if a string ends with a specific value These methods help developers efficiently modify, check, and analyze text data, which is commonly required in real-world Python applications. Grateful for the continuous guidance and support from our mentors. Saketh Kallepu Anand Kumar Buddarapu Uppugundla Sairam Pooja Chinthakayala #Python #StringMethods #PythonProgramming #FullStackDevelopment #Codegnan #LearningJourney #SoftwareDevelopment

Day 8 – Python Full Stack Training at Codegnan Today’s session focused on Loops in Python, a fundamental concept that allows us to execute a block of code repeatedly based on a condition. Loops are very important in programming because they help automate repetitive tasks and make programs more efficient. 🔹 Key Concepts Learned: • Introduction to Loops in Python • for loop – Iterating over sequences like lists, strings, and ranges • while loop – Executing code repeatedly while a condition is true • Using range() function with loops • Controlling loops using break and continue statements • Writing practical programs using loops Understanding loops helps in building efficient programs and solving complex problems by reducing repetitive code. Grateful for the continuous guidance and support from our mentors throughout this learning journey. Saketh Kallepu Anand Kumar Buddarapu Uppugundla Sairam Pooja Chinthakayala #Python #Loops #PythonProgramming #FullStackDevelopment #Codegnan #LearningJourney #SoftwareDevelopment

Day 6 of My Python Full Stack Development Journey Continuing my training at Global Quest Technologies, Yelahanka. Today’s session focused on key Python concepts that help in writing logical and interactive programs. 📌 Topics Covered 🔹 Operators Learned about different types of operators in Python, including arithmetic, relational, logical, and assignment operators. These are essential for performing calculations, comparing values, and forming conditions in programs. 🔹 User Input Understood how to take input from users using the input() function, which makes programs interactive and user-friendly. 🔹 eval() Function Explored how the eval() function evaluates user input as a Python expression, allowing dynamic execution of inputs. 🔹 Types of if Conditions Learned decision-making statements such as if, if-else, and if-elif-else, which help programs respond based on different conditions. 🔹 Types of range() Function Studied different ways to use the range() function: • range(stop) • range(start, stop) • range(start, stop, step) Today’s concepts helped me understand how to make Python programs more logical and interactive. Step by step, I’m building confidence in Python and enjoying the learning journey. 💻 #Python #FullStackDevelopment #Learning #Programming #CodingJourney G.R NARENDRA REDDY Global Quest Technologies

🚀 Day 3 of my Python Full Stack Training at Global Quest Technologies As part of our Python learning journey in the Python Full Stack program, today's session focused on understanding Python in more detail. We learned about the key features of Python, including: • Simple and easy to learn • Open-source • Platform independent and portable • Dynamically typed • Interpreted language • Extensible and embeddable • Extensive standard libraries We also explored: • Where to develop Python programs • Popular Python Integrated Development Environments (IDEs) • Step-by-step Python installation • How to open and use IDLE (Integrated Development and Learning Environment) to write and run Python programs It was a very informative session that helped us understand the basics required to start coding in Python. Looking forward to practicing more and improving my Python skills as part of my Data Analytics training journey. G.R NARENDRA REDDY sir Global Quest Technologies #Python #LearningJourney #GlobalQuestTechnologies #Programming

💻 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