Working with JSON in Python

🚀 Python Practice – Lambda Functions, Map & Filter Continuing my Python learning journey with more practical concepts 🐍 In this session, I explored: ✔️ Lambda Functions (anonymous functions) ✔️ Map() for transforming data ✔️ Filter() for selecting data ✔️ Using lambda with map & filter Practiced writing concise and efficient code using lambda functions and applied them with map() and filter() to work with lists and datasets. These concepts are helping me understand how to process and transform data more effectively 📊 A big thanks to Krish Naik for his amazing teaching and clear explanations 🙌 Documented all my practice in a Jupyter Notebook and shared it as a PDF to track my progress. Learning how to write cleaner and more optimized code step by step 💡 Next: Import Modules and Packages in Python 🚀 #Python #Lambda #Map #Filter #DataAnalytics #LearningJourney #Coding #KrishNaik

🐍 Python Learning – Day 19 💻 Command Line Arguments in Python Today I learned how to take input from the command line using Python. This is useful when running scripts with different inputs. 📌 Example:- import sys print("Script name:", sys.argv[0]) print("Argument:", sys.argv[1]) 📌 What I learned:- • sys.argv is used to access command line arguments • argv[0] is the script name • Useful for automation and scripting This is commonly used in real-world scripts and DevOps tasks. ___Learning step by step___🚀 #Python #DevOpsJourney #Automation #Programming #LearningInPublic

One Skill That Changed My Perspective on Data — Python Before learning Python, data analysis felt limited. After learning Python, it felt limitless. Why? 🔹 You’re not restricted by tool limitations 🔹 You can customize your analysis 🔹 You can work with any type of data 🔹 You can connect data from multiple sources It’s like moving from a calculator to a full-fledged system. 💡 Key realization: Tools don’t make analysts powerful — flexibility does. And Python gives that flexibility. #Python #DataAnalytics #LearningJourney #Upskill #BusinessAnalytics #Growth

*Day 26 of my python learning journey* Today I learned about Getter, Setter, and 3 types of methods in Python OOP. *Getter & Setter methods:* Getters are used to access private data safely → `get_name()` Setters are used to update private data with validation → `set_age()` They help protect data and add control over how variables are read or changed. *3 Types of Methods in Python:* 1. *Instance method* → Uses `self`, works with object data. Called by objects. 2. *Class method* → Uses `@classmethod` and `cls`, works with class variables. Called by class. 3. *Static method* → Uses `@staticmethod`, doesn’t use `self` or `cls`. Like a normal function inside class. One more step toward writing clean, secure OOP code. Special thanks to the CEO G.R NARENDRA REDDY Sir for constant guidance and motivation. #Python #OOP #GetterSetter #LearningJourney #Programming

🐍📺 In Python, collections of text are called strings. In this course, you'll learn about this fundamental data type and the string methods you can use to manipulate strings #python

🚀 Python Basics – Boolean Data Type Today, I practiced working with the bool() function in Python. Booleans are a fundamental data type used to represent truth values — either True or False. 💻 Example Code: # Demonstrating the use of the bool() function boy = True print(boy) boys = False print(boys) print(bool(0)) print(bool(1)) 📌 Key Points: True and False are Boolean values. The bool() function can convert other types into Boolean: 0 → False 1 (or any non-zero number) → True Understanding Booleans is crucial for conditions, loops, and logic in Python programming. Step by step, growing my Python skills! 💻🐍 #Python #Programming #DataTypes #Bool #CodingJourney #Learning #PythonBasics #BeginnerFriendly

🚀 Excited to share one of my Python projects! I built a login/signup system using dictionaries to store and check user credentials. Key learning points: Storing user data in dictionaries Validating login credentials Handling different user actions (login vs signup) Check it out on GitHub: https://lnkd.in/ej33hy2C #Python #Coding #LearningPython #GitHubProjects #BeginnerProjects

🚀 Python Developer Journey – Day 3 Day 3 of my Python learning journey, and today I explored Python Data Types. 📚 Topics covered: • Built-in Data Types in Python • Text Type (str) • Numeric Types (int, float, complex) • Sequence Types (list, tuple, range) • Mapping Type (dict) • Set Types (set, frozenset) • Boolean Type (bool) • Getting Data Type using type() • Setting Specific Data Types Understanding data types is essential for writing efficient and structured programs. Learning step by step and staying consistent 💪 #Python #PythonLearning #CodingJourney #Developer #100DaysOfCode

Unlock the power of APIs and master regular expressions in Python! In this lecture, you'll learn how to make API requests to fetch data from the web, handle JSON responses, and use Python's requests library. We'll also dive into regular expressions (regex) to efficiently search, match, and manipulate text data. Perfect for beginners and those looking to enhance their data processing skills. #Python #API #Regex #DataScience #Programming #Tutorial https://lnkd.in/gCZQdtnb

Master these 3 essential Python string programs that every developer should know! 🔥 ✅ Anagram Checker   ✅ Pangram Checker   ✅ Unique Words Checker  These short and elegant programs demonstrate core Python concepts like sorting, sets, and string manipulation. Which one is your favorite?   Would you use any of these in your projects? Save this post for quick reference and tag a friend who is learning Python! Follow Ultra Pythonic for more clean, practical Python code and learning resources. #Python #LearnPython #Coding #Programming #PythonProgramming