Transfer Learning with Python Models

Learn how to use Python for machine learning with our ultimate guide, covering best practices, tips, and tricks for leveraging Python's power in machine learning applications https://lnkd.in/g2SeJ7nn #PythonForMachineLearning Read the full article https://lnkd.in/g2SeJ7nn

ℙ𝕪𝕥𝕙𝕠𝕟 𝕊𝕥𝕣𝕚𝕟𝕘 𝕊𝕝𝕚𝕔𝕚𝕟𝕘 𝔻𝕣𝕪 ℝ𝕦𝕟 🐍 When working with Python, understanding how strings are manipulated is key. Many beginners get confused by how slicing ranges work—specifically the "start" and "stop" parameters. Can you perform a dry run of this code? #PythonProgramming #CodingChallenge #PythonDevelopers #LearnToCode #DataScience #SoftwareEngineering #PythonTips #CodingQuiz #TechCommunity #DryRun #ProgrammingLife #LinkedInLearning

Day 11/30 – Python 🐍 Today I learned about inheritance and how classes can reuse and extend functionality. Tried a few examples and understood how it helps in writing cleaner and scalable code. Concepts getting deeper 🔍 #Day11 #Python #CodingJourney #LearningInPublic

Task 4: Fibonacci Sequence Math meets Code! 🧮 For Level 2 Task 4 with @Cognifyz Technologies, I worked on the classic Fibonacci Sequence. I wrote a Python function that generates the Fibonacci sequence up to a given number of terms requested by the user. Watch the code execution below! 👇 #cognifyztechnologies #cognifyz #cognifyztech #Python #Algorithms

Answer time✅ Two tiny mistakes changed everything: the indentation and the range. Save this if you are learning Python! #WorldQuantumDay #STEMChallenge #DebugTheCode #PythonForKids #CodingForKids

Today I practiced types of arguments in Python functions with small examples. I learned how Python allows us to pass values to functions in different ways: Positional Arguments – where order matters Default Arguments – where parameters have default values Keyword Arguments – where we use parameter names while passing values I also practiced a small program to find the sum of even numbers from a mixed list using a function. Understanding these argument types helps in writing flexible and reusable functions. Every small concept makes coding more clear step by step #Python #LearningJourney #Functions #CodingPractice

Understanding the difference between Lists and Tuples in Python is more than just syntax — it's about writing efficient, intentional code. Our recent blog breaks down the key differences with practical examples. A great read for anyone building their Python foundation. 🚀 𝐋𝐢𝐬𝐭 𝐯𝐬 𝐓𝐮𝐩𝐥𝐞 𝐢𝐧 𝐏𝐲𝐭𝐡𝐨𝐧: 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐊𝐞𝐲 𝐃𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬 https://lnkd.in/gAFNthW5 #Python #DataScience #MachineLearning

Most people don’t struggle with Python, they struggle with using it on real data. That’s exactly what this course fixes. In Data Analysis Using Python, you don’t just learn syntax, you actually work with data, clean it, analyze it, and build logic that makes sense. Step by step, from basics to real workflows. If you’ve been stuck watching tutorials without real progress, this is where things start to click. #python #logicstack #dataanalysis #Coding #MachineLearning #datascience #programmers #newera #codingchallenge

🚀 Day 2 — Python Journey Continuing with Python, today I focused on integer operations. 📌 What I learned: - Integer declaration - Addition, subtraction, multiplication - Division and modulus (remainder) - Power operation - Operator precedence (which operation runs first) 💡 What stood out: Understanding operator precedence is really important — the same expression can give different results if you don’t know the order of execution. Also, modulus (%) is more useful than it looks (especially for problems and logic building). Trying to stay consistent and build strong basics step by step. #Day2 #Python #CodingJourney #Consistency #LearnInPublic

Good news for Python developers: Python on z/OS is the same as "normal" (sorry about the joke) Python! Fantastic presentation by Steven Pitman yesterday at GS-UK virtual conference: "Modernising Applications with Python and Containers." #IBMz #GSUK #Python