Recently, I started learning Regular Expressions (Regex) in Python, and it’s been really helpful when working with text. Before that, I used to write longer code to handle simple tasks. Now, I can do things much faster and in a cleaner way. Through this, I’ve learned how to: • Extract numbers, emails, and different patterns from text • Validate inputs like emails and passwords • Clean and organize raw data • Write shorter and more efficient code Here are a few simple examples, as shown in the image: Kulsoom Shoukat Ali CodeAcademy_om #Python #Regex #Programming #CodingJourney #DataScience #LearningJourney #Developer #NAFADH
Learning Regex in Python for Efficient Text Handling
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🔁 Python Revision – Lists & List Comprehension Continuing my Python fundamentals revision 🐍 In this session, I focused on: ✔️ Lists (creation, indexing, slicing) ✔️ List methods (append, remove, sort, etc.) ✔️ Iterating through lists ✔️ List Comprehension Practiced working with lists to store and manipulate data efficiently, and explored list comprehension for writing cleaner and more concise code. Documented my practice in a Python Notebook and shared it as a PDF to track my progress. Learning how to handle data in Python step by step 📊 #Python #Revision #Lists #ListComprehension #Programming #DataAnalytics #LearningJourney
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This is what real consistency looks like. Not chasing complex topics too early, but taking time to understand the fundamentals properly. From variables to strings, slicing, and now lists, this is how strong foundations are built. Many people overlook the basics, but this is where real confidence and skill come from. At Hempi, we believe growth is not about speed, but consistency. And this right here is a clear example of that. Keep going. It’s all adding up #LearningJourney #Python #MachineLearning #TechEducation #AIForAfrica #HEMPI
Nutrition & Dietetics Student | Aspiring Physician | Building Digital Skills | Passionate About Health, Nutrition & Preventive Medicine
I’m currently building consistency in my tech journey, and today I explored Lists in Python. At first glance, lists seem simple just a way to store multiple items. But learning how to organize, access, and modify data within a list made me realize how essential they are in programming. It’s interesting how one concept can open the door to so many possibilities working with multiple values, managing data efficiently, and writing cleaner, more flexible code. What stands out to me is this: the more I learn, the more I understand that the “basics” are not basic at all they are powerful tools. From figuring out installation, to understanding variables, strings, slicing, and now lists, I can clearly see my growth. Still learning. Still improving. Still showing up. #MachineLearning #Python #DataScience #TechJourney #BuildInPublic #LearningInPublic #HieliteAcademy #Hempi #PythonBasics #TechSkills
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#Day12 of learning Python 🐍 Today I learned about file handling in Python and how to work with files using different modes like read (r), write (w), and append (a). Also explored using the with statement (context manager) to handle files more safely and efficiently. Practiced tasks like counting words in a file, checking whether a specific word exists, and building a small function to verify if a password exists inside a file. Also revised how try–except–finally helps handle file-related errors like missing files. Working with files made me realize how Python programs can store and retrieve real data, which is an important step toward building practical applications. Day 12 complete — 88 days to go! 🚀 #Day12 #PythonLearning #FileHandling #PythonFiles #100DaysOfLearning #CodingJourney #SkillShikshya
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🚀 Python Trick That Confuses Beginners 🤯 Today in my Data Analysis class, a student asked: 👉 Why does this return True? a = "Dipak" b = "Dipak" print(a is b) And even more surprising: x = 100 y = 100 print(x is y) # True 💡 The answer lies in something called Interning ✔ Python reuses memory for: - Small integers (-5 to 256) - Some strings 👉 This makes Python faster and memory efficient. But here’s the twist: a = 1000 b = 1000 print(a is b) # False ⚠️ Lesson: - "==" → checks value - "is" → checks memory location Never use "is" for value comparison! 🔥 Python isn’t just simple… it’s smart. #Python #DataAnalysis #Coding #Programming #LearnPython
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📘 Today’s Learning: Python Data Types Today, I explored the fundamentals of Python Data Types under the guidance of Satish Dhawale Sir. Here’s a quick overview of what I learned: 🔹 Text Type – "str" (used for storing text) 🔹 Numeric Types – "int", "float", "complex" 🔹 Sequence Types – "list", "tuple", "range" 🔹 Mapping Type – "dict" (key-value pairs) 🔹 Set Types – "set", "frozenset" 🔹 Boolean Type – "bool" (True/False) 🔹 None Type – "None" Understanding data types is the first step toward writing efficient and error-free Python programs. Grateful for the clear explanation and guidance 🙏 💬 See and comment below — What was your first Python concept? #Python #Programming #LearningJourney #DataTypes #Coding #TechSkills #BeginnerProgrammer
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🚀 Day 7 of Python Learning: Lists in Python Today I learned about Lists — one of the most useful data structures in Python for storing multiple values in a single variable. 🔹 What is a List? A list is a collection of items stored in a single variable. It can store different data types like numbers, strings, etc. 🔸 Creating a List my_list = [1, 2, 3, 4, 5] 🔸 Accessing Elements print(my_list[0]) # First element print(my_list[-1]) # Last element 🔸 Updating List my_list[1] = 10 🔸 Adding Elements my_list.append(6) 🔸 Removing Elements my_list.remove(3) 💡 Key Learning: Lists are mutable, which means we can change their values after creation. 🧪 Practice Task: ✔ Create a list of 5 numbers ✔ Add a new number ✔ Remove one number ✔ Print all elements using a loop 🎯 Interview Question: What is the difference between list and tuple in Python? Answer: "List is mutable (can be changed), while tuple is immutable (cannot be changed)." 📌 Day 7 done — building consistency step by step! #Python #Learning #CodingJourney #Day7 #Programming #SDET #100DaysOfCode Masai #dailylearning, #masaiverse
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Day 6/30 – Learning Pandas and Exception Handling in Python 📊 Today I learned about Pandas, a powerful Python library used for working with data. Pandas helps in organizing, analyzing, and manipulating data easily. I also learned about its main data structures like Series and DataFrame, which make handling large amounts of data much more efficient. Along with that, I learned about exception handling in Python. Exception handling helps us manage errors in a program so that it doesn’t crash unexpectedly. Using concepts like try, except, and finally, we can handle errors and make our programs more reliable. These concepts are helping me understand how Python can be used not just for programming, but also for data analysis and building robust applications. Excited to keep learning and exploring more every day. ✨ #Day6 #30DaysOfPosting #PythonLearning #Pandas #ExceptionHandling #CodingJourney #LearningJourney 🚀
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Python Learning Journey – Day 5 🚀 Loops are where logic starts to feel powerful. Today, I focused on applying for and while loops to solve real problems instead of just learning syntax. Here’s what I built: • Calculated sum of squares (1 to 5) • Created a countdown program using while loop • Printed multiplication tables using nested loops • Found sum of even numbers in a range • Calculated sum from 1 to n • Iterated through lists efficiently • Printed custom ranges (-10 to -1) • Generated cubes of numbers Each problem improved my understanding of iteration, control flow, and writing cleaner logic. Consistency matters more than speed. One step every day. Big thanks to VASU KUMAR PALANI and PythonLife for the continuous learning support. #Python #CodingJourney #LearnInPublic #PythonLoops #Programming #Consistency #TechSkills
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Python Learning Journey - Deep Dive into Core Concepts Continuing my Python journey, today I explored some powerful and practical concepts that strengthen problem-solving skills: ◆ Loops in Python - for loop & while loop ◆ Strings in Python Finding length using len() Accessing characters using index & slicing Exploring string methods & formatting ◆ Hands-on Practice Program to accept a string & find its reverse ◆ List Data Structure : Built-in functions: len(), index(), append(), insert(), remove(), clear(), sort() Understanding id() function Aliasing vs Cloning of lists Cloning using slicing & copy() ◆ Operators on Lists Multiplication & Concatenation Relational & Membership operators Advanced Concepts Nested Lists List Comprehension Complete List Data Structure Summary Learning Python is all about consistency, practice, and building logic step by step. #Globalquesttechnologies #GR Narendra Reddy #Python #Coding Journey #Learning Python #Programming #Developers #100DaysOfCode #TechSkills #PythonBasics
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🚀 Day 6 of Python Learning: Functions in Python Today I learned how to organize and reuse code using functions — a key concept for writing clean and efficient programs. 🔹 What is a Function? A function is a block of code that performs a specific task and can be reused whenever needed. 🔸 Creating a Function Example: def greet(): print("Hello, welcome to Python!") greet() 🔸 Function with Parameters Example: def greet(name): print("Hello", name) greet("Rohit") 🔸 Function with Return Value Example: def add(a, b): return a + b result = add(5, 3) print(result) 💡 Key Learning: Functions help reduce code repetition and make programs more structured and readable. 🧪 Practice Task: Create a function to check even or odd Create a function to add two numbers Create a function to find the square of a number 🎯 Interview Question: What is the difference between return and print in Python? Answer: "print displays output on the screen, while return sends the value back to the function caller." #Python #Learning #CodingJourney #Day6 #Programming #SDET Masai #dailylearning #masaiverse #SDET
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