Learning Python with Mobile App Resources Needed

“I’ll start learning Python tomorrow…” → said every beginner… for the past 6 months. Starting is easy. Sticking with it? That’s where most people quit. Not because Python is hard but because the path is confusing, overwhelming, and all over the place. This Python Masterclass is built for beginners who want clarity, not chaos: - A simple, step-by-step roadmap (no more “what should I learn next?”) - Learn by doing real projects, not just watching tutorials - 1:1 guidance to turn your learning into actual career direction 👉 Your “Day 1” starts here: https://lnkd.in/eEQmw7cT

1/6: Foundations of Data Analysis with Python I’ve just wrapped up the first course in a 6-part series focused on Data Analysis with Python on Coursera. While "Hello Python" starts with the basics, getting the core logic and syntax right is a necessary step before moving into the more complex analytical work. It’s been a great way to supplement my current BTech studies and start building a specialized toolkit early on. Moving forward, I’ll be diving into the next five courses to cover data manipulation and visualization. Looking forward to seeing how these skills translate into more advanced projects. Verify here: https://lnkd.in/gGawfpXa

Struggling with inheritance in Python? Here’s a quick breakdown: • Inheritance → Reusing code from another class • Parent class → Base class • Child class → Derived class • "super()" → Access parent class methods Why use it? ✔️ Reduces code duplication ✔️ Makes code cleaner ✔️ Improves scalability Save this if you’re learning Python. What topic are you currently learning?

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

Expectation: “I’ll learn Python in 7 days 🚀” Reality: Day 1: Installed Python Day 2: Watched tutorials Day 3: Printed “Hello World” Day 4: Took a break Day 5: Googling errors Day 6: Still Googling Day 7: Confidence = 0 😭 Initially, I thought I’ll just continue with SQL + Snowflake. But then I realized… 👉 Learning Python is like learning a new language Except the machine is VERY strict 😅 Still learning… still struggling… but not giving up 💪 Started with "Barra Python Course"— good for beginners! 💬 Anyone else on Day 7 since 2 months? 😆

🚀 **Day 12 of My Python Learning Journey** Today, I learned about **Reading and Cleaning CSV Files** in Python, which is an important step in data analysis. This learning is part of a **Skill Course**, guided by **Mr. Satish Dhawale**. The concepts were explained with practical examples. 🔹 Key Takeaways: * Reading CSV files using Python * Understanding datasets structure * Handling missing values * Removing duplicates and unwanted data * Basic data cleaning techniques Moving one step closer to real-world data analysis and improving my practical skills. #Python #LearningJourney #Programming #SkillCourse #Day12 #Coding #DataAnalytics #DataCleaning

I started learning Python thinking it would be straightforward.😄 And it is, until you try to do it properly. Readable functions. Clear naming conventions. Structured logic. Useful documentation. At some point, you realize that clean code is not about impressing others. It is about respecting the next person who reads your work. Sometimes, that next person is you two weeks later.

#Day11 of learning Python 🐍 Today I learned about data comprehensions in Python, including list comprehension, dictionary comprehension, and set comprehension. Practiced creating lists of even and odd numbers, filtering names based on conditions, generating dictionaries from strings and lists, and even identifying prime numbers using comprehension logic. It was interesting to see how comprehensions make code more concise, readable, and efficient compared to traditional loops. Understanding comprehensions feels like a big step toward writing cleaner and more Pythonic code. Day 11 complete — 89 days to go! 🚀 #Day11 #PythonLearning #ListComprehension #DictionaryComprehension #SetComprehension #100DaysOfLearning #CodingJourney #SkillShikshya

🚀 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

Day 7 of my Python learning journey 🐍 Today I started learning functions in Python, which is one of the most important concepts in programming and a key step toward becoming a better developer. Functions help us write reusable and organized code. Instead of repeating the same code again and again, we can define a function and use it whenever needed. Today I learned the basic syntax of functions and why we should use them. I also explored positional arguments and keyword arguments. In positional arguments, values are passed based on their position. In keyword arguments, values are passed using a key-value format, which makes the code more clear and readable. This was a very important step in understanding how real programs are structured. My work is here: https://lnkd.in/gGsjWtee #Python #100DaysOfCode #LearningInPublic #Django #MachineLearning 🚀