R Language vs Python for Data Analysis

Python Notes for Beginners (Useful Resource) While exploring Python content on LinkedIn, I came across these notes by Roshani Kumari. They are simple, structured, and easy to follow — especially for beginners. These can help with: • Understanding basic concepts. • Quick revision. • Building a strong foundation. One thing I’ve realized: - Notes can guide you, - but real learning happens when you write code and practice consistently. Still, this is a helpful resource, so sharing it here. Full credit to the original creator. 💬 How are you learning Python — notes, videos, or hands-on practice? 📌 I share simple Python and backend learnings here. #Python #LearnPython #Programming #Coding #PythonDeveloper #SoftwareEngineer

🤭 Python Learning Update — Arithmetic Operators Today I practiced a simple Python exercise to understand basic arithmetic operations. Think of it like teaching a small calculator what to do with two numbers. In the program I used two numbers: a = 10 b = 3 Then I explored different operations Python can perform. 📚 What this small program teaches: • Addition → "a + b" • Subtraction → "a - b" • Multiplication → "a * b" • Division → "a / b" • Floor Division → "a // b" (gives whole number only) • Modulus → "a % b" (gives the remainder) • Power → "a ** b" (raises a number to a power) 🧠 Simple way to think about it: If Python were a 5-year-old learning math, this program is teaching it how to: ➕ add ➖ subtract ✖ multiply ➗ divide 🔁 find remainder ⬆ calculate powers Small steps like this help build strong fundamentals in programming. #Python #LearningPython #CodingJourney #ProgrammingBasics #BeginnerProgrammer

Day 3 of 20 Learning Challenge 🎉🖥 Variables, data types, and the building blocks of logic. 🧱💻 Day 3 and I am still showing up. Some days it feels hard. The concepts feel heavy, the screen feels too bright, and the brain feels too tired. But I showed up anyway. Today's focus was on Python variables, data types, and operators. I learned that in Python, everything is an object: strings, integers, lists, and dictionaries all carry their own properties and behaviors. I wrote small programs to practice each concept and was amazed at how quickly Python reads almost like English. I also started building a habit log to track what I learn daily. If you cannot measure it, you cannot improve it. 💡 Data is the foundation. If you understand how Python handles data, you understand Python. Africa Agility Foundation #Python #DataTypes #LearningJourney #BackendDevelopment #SoftwareDevelopment #CodeNewbie #Git20dayschallange #Day3

Widely used across the technology landscape, Python is one of the most in-demand programming languages, known for its relatively simple syntax and well-supported community.  The next offering of Python I, one of WatSPEED's most popular courses, begins on May 4, 2026. This course will help you develop a valuable skill set that can be applied in fields such as web development, data science, artificial intelligence, machine learning, automation, and more. Python I requires no previous coding experience and you can learn at your own pace.  What will you learn:  - Coding using basic syntax in Python   - Solving introductory programming problems in Python  - Debugging code and handle errors  - Documenting your code  Early bird discount: Register for Python I by April 6 to save 10%. Use the code EARLY10 at checkout. https://lnkd.in/e_rADrEu #Python #Coding

EXCEL LESSON LEARNED FROM SUM Small Steps Add Up in Excel In Excel, the SUM function adds numbers together to give a total. One cell alone doesn’t feel like much. But when you combine them, the total grows. The same is true in life and in learning Python. Each line of code I write today may seem small. Each bug I fix. Each new function I understand. Alone, it feels insignificant. But over time, these small steps add up just like SUM. Python reminds me: 1. Learning is a process, not a single moment 2. Consistency matters more than perfection 3. Progress is built one step at a time Every small effort today compounds into real skills tomorrow. Excel taught me the principle. Python lets me live it. Keep adding. Keep coding. Keep growing. #ExcelLessons #SUMFunction #PythonJourney #LearningInPublic #GrowthMindset #SmallStepsBigImpact #KeepLearning.

🚀 Day 27/100 – Learning Python Basics Today, I focused on strengthening my foundation in Python Programming 🐍. I explored: ✅ Introduction to Python & its real-world applications ✅ Basic concepts like input/output, tokens, and data types ✅ Different types of operators (arithmetic, logical, relational) ✅ Conditional statements (if, else, elif) ✅ Looping concepts (for loop, while loop) One key learning: Python is simple, powerful, and widely used in fields like Data Analysis, Machine Learning, and Web Development 💡 What I liked most: Python syntax is very easy and similar to English, which makes it beginner-friendly. 🎯 My goal: To master Python step by step and apply it in Data Analysis projects. #Day26 #Python #LearningJourney #DataAnalytics #BCA #Consistency #100DaysOfCode

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

🚀 Python Basics to Advanced Learning Series – Day 4 Today’s session was very practical and helped me understand how Python works with real user inputs and decision-making. What I learned today: • How to accept input from users dynamically using "input()" • Understanding how to convert input values into required data types • Learning the eval() function and how it evaluates expressions dynamically • How to use conditional statements like "if", "if-else", and "if-elif-else" for decision making • Writing simple programs based on conditions • Understanding the range() function and how it works in loops • Exploring different variations of range() like "range(start, stop)" and "range(start, stop, step)" This session gave me a clear understanding of how programs interact with users and how logic is applied step by step. I’m currently learning this as part of my Python Basics to Advanced Learning Series at Global Quest Technologies, and the journey is getting more interesting day by day. Excited to continue learning and building more logical programs 🚀 #Python #PythonProgramming #LearningJourney #Coding #Programming #SoftwareDevelopment #ProblemSolving #TechLearning #GlobalQuestTechnologies

🚀 Exploring Data with Pandas – Practical Learning in Action! Today I worked on a hands-on project using Pandas where I built a simple interactive system to: ✔️ Explore dataset columns ✔️ Replace specific keywords in a column ✔️ Rename column names ✔️ Count occurrences of a keyword This small project helped me better understand how to manipulate and analyze data efficiently using Python. Writing logic for user input and applying operations dynamically on a dataset was a great learning experience. Grateful to my institute and respected instructor for continuous guidance and support throughout this journey 🙌 YouExcel Training Muhammad Rafay Shaikh #Python #Pandas #DataAnalysis #LearningJourney #DataScience #Programming #Students #Growth

Day 6 of 20 Learning Challenge 🎉🖥 Lists, tuples, and dictionaries are Python's power trio. 🗂️📋 Six days in and I now understand why Python is the world's most popular programming language; it is powerful yet readable. Today I dove deep into Python data structures: lists, tuples, dictionaries, and sets. I learned when to use each one and why it matters. Lists for ordered, mutable data. Tuples for fixed, protected data. Dictionaries for key-value relationships. Sets for unique collections. I built a small contact book program using dictionaries storing names, phone numbers, and emails. Something clicked today. I stopped seeing code as abstract symbols and started seeing it as a blueprint for real-world solutions. 💡 Choose your data structure wisely. The right container makes all the difference. #Python #DataStructures #LearningJourney #WomenInTech #BackendDevelopment #Django #CodeNewbie #Git20DaysChallenge #AfricaAgility #AgitCohort9