Supriya Thoppana’s Post

🚀 Day 3 of hashtag #100DaysofCode - Python Full Stack Journey Continuing my 100 Days Python Full Stack Learning Challenge at hashtag #Codegnan with deeper foundational concepts today! 📌 Day 3 - Technical Learnings 🔹 operators and its types 🔹 conditional statements and its types 🔹 Syntax of conditional statements 🔹 program execution also done related to operators and conditional statements Exploring all these it improves my skills and confidence 📘 Aptitude Learning 🔹 Practice Session based on Lcm ,Hcf and divisibility 🔹 faster method for Lcm calculations Improving aptitude skills enhances logical thinking and problem solving speed, which are helpful for placement preparation. 🗣️ Soft Skills 🔹 Importance of Non verbal communication 🔹 Correct ✅ position and gesture in the time of interviews 🔹 Practice Non verbal communication 📈 Day by day Iam improving my skills and confidence it definately help me to express ideas clearly during presentations, interviews and group discussions Building technical skills, logical reasoning and Soft skills all abilities together to become a well-rounded professional GitHubRepository:https://lnkd.in/gCSP_Qn8 📈 Consistency over intensity! hashtag #100Daysofcode hashtag #python hashtag #fullstackdevelopment hashtag #LearningJourney hashtag #Day3 hashtag #Keeplearning hashtag #Aptitude hashtag #Softskills hashtag #Codegnan

🚀 120 Days Coding Challenge – Day 49 Completed. Today I continued learning OOPS concepts in Python and understood the usage of _ (single underscore) and __ (double underscore) in classes and the difference between them. 📘 Python Basics – Day 49 (Underscore Usage in OOPS) ✔ What I Learned Today 🔹 Single Underscore _ Used for protected variables and methods Indicates that the variable/method is intended for internal use It is a naming convention (not strict restriction) Example: class Student: def __init__(self): self._name = "Aravind" 🔹 Double Underscore __ Used for private variables and methods Implements name mangling to restrict direct access Used to protect data inside a class Example: class Student: def __init__(self): self.__age = 21 🔹 Special Methods Methods like __init__, __str__, etc. Used for special behaviors in Python classes Learning these concepts helped me understand data protection and encapsulation in Object-Oriented Programming. Codegnan || Pooja Chinthakayala || Saketh Kallepu || Uppugundla Sairam #Day49 #OOPS #Encapsulation #PythonBasics #DunderMethods #120DaysChallenge #Codegnan #Trainee #PythonFullStackDeveloper #LearningJourney #PythonDeveloper

Day 2 – Python Full Stack Training at Codegnan Today’s session was focused on Operators in Python, which are essential for performing different types of operations on variables and values in a program. Understanding operators helps in building logical conditions, performing calculations, and controlling the flow of programs effectively. 🔹 Key Concepts Learned: • Arithmetic Operators – +, -, *, /, %, //, ** • Comparison Operators – ==, !=, >, <, >=, <= • Logical Operators – and, or, not • Assignment Operators – =, +=, -=, *=, /= • Bitwise Operators – &, |, ^, ~, <<, >> • Membership Operators – in, not in • Identity Operators – is, is not These operators play a crucial role in writing efficient Python programs and implementing real-world logic in applications. Grateful for the continuous guidance from our mentors who make learning these concepts clear and practical. Saketh Kallepu Anand Kumar Buddarapu Uppugundla Sairam Pooja Chinthakayala #Python #Operators #PythonProgramming #FullStackDevelopment #Codegnan #LearningJourney #SoftwareDevelopment

🚀 120 Days Coding Challenge – Day 53 Completed. I learned about Abstraction in Object-Oriented Programming (OOPS). 📘 Python Basics – Day 53 (Abstraction in OOPS) ✔ What I Learned Today 🔹 What is Abstraction? ➡️The process of handling complexity by hiding unneccessary information from user is called "Abstraction". ➡️If class contains one or more abstract methods then the class is called "Abstract class". ➡️If the method is declare without implementation it is called "abstract method". It helps in: Reducing complexity Improving code security Focusing only on required functionality 🔹 How Abstraction is Implemented in Python Using Abstract Classes Using abc module Using @abstractmethod decorator Example Practiced:- from abc import ABC,abstractmethod class A(ABC):   @abstractmethod   def method1(self):     pass   def method2(self):     print("method2 is implemented")   def method3(self):     pass class B(A):   def method1(self):     print("method1 is implemented")   def method3(self):     print("method3 is implemented") obj1=B() obj1.method1() obj1.method2() obj1.method3() Learning abstraction helped me understand how to design secure and structured programs by hiding unnecessary details. Codegnan || Pooja Chinthakayala || Saketh Kallepu || Uppugundla Sairam #Day53 #OOPS #Abstraction #PythonBasics #ObjectOrientedProgramming #120DaysChallenge #Codegnan #Trainee #PythonFullStackDeveloper #LearningJourney #PythonDeveloper

Every coding journey starts with strong fundamentals. 💻📚 Currently learning **Python** from **w3schools.com** and revising the basics by writing detailed notes. Understanding concepts like what Python is, where it is used, and why it’s considered one of the most beginner-friendly programming languages. From web development to software development and data handling, Python opens doors to many possibilities in tech. Taking time to build a clear foundation because strong basics lead to better coding skills. Learning step by step and enjoying the process of becoming a better programmer. 🚀 #Python #LearningToCode #CodingJourney #W3Schools #FutureDeveloper

🚀 Python Full Stack Journey | Day 3 Update Day 3 was dedicated to refining core programming concepts while developing a more logical, analytical, and confident way of thinking. With every session, the foundation is becoming clearer and stronger. 💻 Technical Learning * Understood how different operators influence program behavior * Applied arithmetic, relational, and logical operators to solve real-time problems * Learned how conditional statements control the execution of code * Built small logic-based programs to strengthen decision-making skills 🧠 Aptitude & Reasoning * Practiced number-based questions to improve numerical understanding * Took the first steps into LCM and HCF using methodical problem-solving techniques * Concentrated on increasing accuracy while maintaining problem-solving speed 🗣 Professional & Soft Skills * Recognized the role of body language and posture in confident communication * Engaged in activities aimed at improving spoken clarity * Worked on presenting thoughts in a more structured and effective manner Day 3 highlighted how logical coding, mathematical thinking, and communication skills grow together. Staying consistent and learning with intention. 🔗 GitHub:https://lnkd.in/gNX8cfiE #100DaysOfCoding #PythonFullStack #Day3 #LogicalThinking #SoftSkills #codegnan #ContinuousImprovement #LearningJourney #ProblemSolving #CareerGrowth

🚀 Day 1 — 100 Days of Code Challenge I am excited to officially begin my #100DaysOfCode journey. Today marks the first step toward strengthening my programming skills through consistent practice and hands-on learning. For Day 1, I worked on a beginner-friendly Python project called Band Name Generator. Although simple, this task focused on building a strong foundation in core programming concepts. 🔹 Objective: The main objective was to understand how user interaction works in Python by collecting inputs and processing them to generate meaningful output. 🔹 Implementation Details: • Took user input such as the city they grew up in and their pet’s name • Stored the inputs using variables • Applied string concatenation to combine the values • Displayed a creative band name as the final output 🔹 Key Learnings: ✅ Understanding the functionality of the input() function ✅ Working with variables and data handling ✅ String manipulation and formatting ✅ Writing clean, readable, and beginner-level Python code ✅ Importance of logic building in programming This first day reinforced an important lesson — every expert starts with the basics. I am looking forward to exploring more advanced concepts, improving problem-solving skills, and maintaining consistency throughout this 100-day journey. Consistency, discipline, and learning in public — let’s go! 💻✨ #Day1 #100DaysOfCode #Python #CodingJourney #LearningInPublic #Programming #DeveloperJourney

🚀 Day 5 — 100 Days of Code Challenge I am pleased to share my progress on Day 5 of the #100DaysOfCode challenge. With each day, I am strengthening my Python fundamentals through consistent practice and hands-on implementation of core programming concepts. For today’s task, I focused on implementing loop-based logic, an essential concept used to automate repetitive operations and improve program efficiency. 🔹 Objective: The primary objective of this program was to understand how iteration works in Python and how loops can be applied to execute a set of instructions multiple times based on defined conditions. 🔹 Implementation Details: • Collected user input for processing within the program • Applied loop constructs such as for and while to perform repeated operations • Implemented logical conditions to control the execution flow • Generated outputs based on iterative processing 🔹 Key Learnings: ✅ Clear understanding of loop structures and iteration ✅ Importance of automation in programming ✅ Improved logical thinking and problem-solving ability ✅ Writing clean, structured, and maintainable code ✅ Strengthening confidence in Python fundamentals 🔹 Key Takeaway: Learning how to use loops effectively is a crucial milestone, as it enables developers to handle repetitive tasks efficiently and build scalable solutions. I am excited to continue this journey of continuous learning, discipline, and growth as I progress through the challenge. #Day5 #100DaysOfCode #Python #CodingJourney #LearningInPublic #Programming #DeveloperJourney

🚀 Day 2 — 100 Days of Code Challenge Continuing my #100DaysOfCode journey with another step toward strengthening my Python fundamentals. Consistency is key, and each day brings new learning opportunities. For Day 2, I worked on a Python project focused on Tip Calculator, which helps calculate how much each person should pay when splitting a bill, including the tip percentage. 🔹 Objective: The main objective of this task was to improve my understanding of user input, mathematical operations, and data type conversion in Python while building a practical real-world application. 🔹 Implementation Details: • Collected user inputs such as total bill amount, tip percentage, and number of people • Applied arithmetic calculations to determine the final amount per person • Used type casting to convert input values into appropriate data types • Displayed the calculated result in a clear and formatted output 🔹 Key Learnings: ✅ Working with numeric data types and type conversion ✅ Performing arithmetic operations in Python ✅ Understanding user interaction in command-line programs ✅ Improving logical thinking and problem-solving skills ✅ Writing clean and structured beginner-friendly code This project helped me understand how programming concepts can be applied to solve everyday problems. Step by step, I am building confidence and improving my coding skills. Looking forward to learning more and growing consistently throughout this journey. 💻✨ #Day2 #100DaysOfCode #Python #CodingJourney #LearningInPublic #Programming #DeveloperJourney

🚀 Day 6 — 100 Days of Code Challenge I am excited to share my progress on Day 6 of the #100DaysOfCode challenge. Today’s learning focused on strengthening my understanding of loops, lists, and the range function in Python — key concepts that help in handling collections of data efficiently and automating repetitive operations. 🔹 Objective: The main objective was to learn how to iterate through data structures using loops and apply the range() function to control iterations effectively while building logical solutions. 🔹 Implementation Details: • Worked with lists to store and manage multiple values • Used for loops to iterate through list elements • Applied the range() function to generate sequences for iteration • Implemented logic to process data step-by-step using loops • Displayed results in a structured and readable format 🔹 Key Learnings: ✅ Understanding how loops interact with lists ✅ Practical use of the range() function in iteration ✅ Improved problem-solving using structured logic ✅ Writing cleaner and more efficient Python code ✅ Strengthening programming fundamentals through hands-on practice 🔹 Key Takeaway: Mastering loops with lists and range is essential because it forms the foundation for solving complex programming problems, data processing, and algorithm development. Consistent learning and daily practice are helping me build confidence and move closer to my goal of becoming a skilled developer. #Day6 #100DaysOfCode #Python #CodingJourney #LearningInPublic #Programming #DeveloperJourney