Python Training Foundations Week: Python Syntax and Basics

I’ve been actively working with AI-powered coding tools, but I realized something: Without strong fundamentals, you’re just prompting — not building. (It made me lazy) So I went back and completed Programming for Everybody (Getting Started with Python) on Coursera. This wasn’t about starting from zero. It was about fixing the base. What I reinforced: 1. The basics of the Python programming language 2. Using variables to store, retrieve, and calculate information 3.Core programming concepts like functions and loops What actually changed: I understand how code works, not just what to prompt I can break problems into logic instead of guessing outputs I’m more confident building things from scratch Next: → Moving into Python Data Structures → Building alongside learning I also share my daily progress and learnings on X: https://x.com/idharma_10 Follow along if you’re building in public. #Python #AICoding #BuildInPublic #Developers #Coursera

⚠️ A common mistake I see beginners make While learning Python and Data Science, many beginners focus too much on writing code quickly. But often, the real issue is not the code — it’s the lack of understanding of the problem itself. I’ve seen students struggle not because they can’t code, but because they: • don’t break the problem into smaller steps • skip thinking before coding • try to memorise instead of understanding Once they slow down and focus on the logic, everything becomes much clearer. A good reminder that in programming, thinking matters more than typing. #Python #DataScience #Programming #LearningToCode #Teaching

Today’s Learning 🚀 I’m excited to share that today I learned  Python Automation Using AI as part of my learning journey through the @Skill Course under the guidance of @Satish Dhawale Sir. To support fellow learners, I’ve also created concise notes on these topics, and I’m happy to share them with my LinkedIn community. If you’re just starting your Python journey or revising the fundamentals, these notes can be a helpful resource for you. Let’s continue to grow together in the world of Data Analysis and Python Programming! 💬 Comment “Notes” if you’d like me to share them. #DataAnalysis #Python #TypeCasting #LearningJourney #PythonBasics #PytonInExcel.

Today’s Learning 🚀 I’m excited to share that today I learned AI-Enabled Python for Data Analysis as part of my learning journey through the @Skill Course under the guidance of @Satish Dhawale Sir. To support fellow learners, I’ve also created concise notes on these topics, and I’m happy to share them with my LinkedIn community. If you’re just starting your Python journey or revising the fundamentals, these notes can be a helpful resource for you. Let’s continue to grow together in the world of Data Analysis and Python Programming! 💬 Comment “Notes” if you’d like me to share them. #DataAnalysis #Python #TypeCasting #LearningJourney #PythonBasics #PytonInExcel.

Bridging the gap between theory and real-world skills. Medicaps University hosted a 5-Day Offline Python Bootcamp, designed by an IBM Subject Matter Expert (SME), focused on building strong Python fundamentals and hands-on project experience. From core concepts to practical implementation, the bootcamp empowered students to develop resume-ready skills and strengthen their foundation for advanced AI learning and career opportunities. A step forward in turning knowledge into capability. #MedicapsUniversity #Python #ArtificialIntelligence

Today’s Learning 🚀 I’m excited to share that today I learned  AI-Generated Pandas Pipeline and Automation Using Python as part of my learning journey through the @Skill Course under the guidance of @Satish Dhawale Sir. To support fellow learners, I’ve also created concise notes on these topics, and I’m happy to share them with my LinkedIn community. If you’re just starting your Python journey or revising the fundamentals, these notes can be a helpful resource for you. Let’s continue to grow together in the world of Data Analysis and Python Programming! 💬 Comment “Notes” if you’d like me to share them. #DataAnalysis #Python #TypeCasting #LearningJourney #PythonBasics #PytonInExcel.

📚 Planning to teach a course on Python programming for data science? Let us save you time. BioNT has developed freely reusable, FAIR-compliant training materials for "From Zero to Hero with Python" — purpose-built for Python instructors and data science educators who want to deliver engaging beginner Python training using Jupyter Notebooks, Pandas and Matplotlib. ♻️ What's included: Modular lesson plans covering variables, data types, loops, functions, Pandas, and Matplotlib — all freely reusable under open licences. ✔️ Built on evidence-based teaching practices (Carpentries, CodeRefinery, FAIRsFAIR). ✔️ Ready to deliver: no need to build from scratch. 💬 Would you like to use it? Tell us in the comment and get in touch! 👉 Access the materials here: https://lnkd.in/dsMrteTi #TrainTheTrainer #PythonEducation #Python #freetraining #OpenEducation #DataScience #BioNT #carpentries #corerefinery #FAIRsFAIR

Today’s Learning 🚀 I’m excited to share that today I learned  GUI Based Automation Using AI with Python   as part of my learning journey through the @Skill Course under the guidance of @Satish Dhawale Sir. To support fellow learners, I’ve also created concise notes on these topics, and I’m happy to share them with my LinkedIn community. If you’re just starting your Python journey or revising the fundamentals, these notes can be a helpful resource for you. Let’s continue to grow together in the world of Data Analysis and Python Programming! 💬 Comment “Notes” if you’d like me to share them. #DataAnalysis #Python #TypeCasting #LearningJourney #PythonBasics #PytonInExcel.

Python Training: Week 2 Completed – Building the Logic Behind Intelligent Systems In this week’s session of our Python Training for Machine Learning, we moved beyond syntax and into what truly powers real-world applications — decision-making and control flow. We explored how programs think, decide, and repeat actions intelligently using: Conditional statements (if, elif, else) Logical operators (and, or, not) Iterative constructs (for, while loops) What made this session impactful was not just writing code — but understanding how business rules are translated into executable logic. From evaluating eligibility conditions to simulating real-world workflows like order prioritization and automation, students began to see how: Simple conditions can drive complex systems Loops enable scalability across massive datasets Clean logic leads to reliable and efficient solutions We also focused on common pitfalls: Infinite loops Incorrect condition sequencing Indentation errors that break logic The goal this week was clear: Move from “writing code” to “designing logic.” The engagement, curiosity, and problem-solving mindset shown by the students truly stood out. This is where programming starts becoming powerful. Looking forward to Week 3 as we continue building towards data-driven and intelligent applications. #Python #MachineLearning #Programming #ControlFlow #DataAnalytics #STEM #HigherEducation #AI #LearningJourney

Today’s Learning 🚀 I’m excited to share that today I learned Python File Handling as part of my learning journey through the @Skill Course under the guidance of @Satish Dhawale Sir. To support fellow learners, I’ve also created concise notes on these topics, and I’m happy to share them with my LinkedIn community. If you’re just starting your Python journey or revising the fundamentals, these notes can be a helpful resource for you. Let’s continue to grow together in the world of Data Analysis and Python Programming! 💬 Comment “Notes” if you’d like me to share them. #DataAnalysis #Python #TypeCasting #LearningJourney #PythonBasics #PytonInExcel.