🐍📺 In this tutorial series you'll do a deep dive on how Python's to-string conversion using the __repr__ and __str__ "magic methods" works and how you can add implement them #python
How to implement __repr__ and __str__ in Python
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This is code Of Caption Generation (Inference) By Python. def generate_caption(photo, tokenizer, max_length): in_text = 'startseq' for _ in range(max_length): sequence = tokenizer.texts_to_sequences([in_text])[0] sequence = pad_sequences([sequence], maxlen=max_length) yhat = model.predict([photo, sequence], verbose=0) yhat = np.argmax(yhat) word = tokenizer.index_word.get(yhat) if word is None: break in_text += ' ' + word if word == 'endseq': break return in_text
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Python String Slicing 🐍 The most important rule for variable[start:stop]1: start: IS included2. stop: is NOT included3. 3 key patterns: variable[start:stop] ➔ Grabs a middle section. "HELLO PYTHON"[0:5] gives HELLO 4 variable[start:] ➔ Grabs from start to the end. "HELLO PYTHON"[6:] gives PYTHON 5 variable[:stop] ➔ Grabs from the beginning to stop. "HELLO PYTHON"[:5] gives HELLO 6 Bonus Tip: Use [start:stop:step] to "jump" #Python #Programming #PythonTips #Coding
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🚀 Big news for the Power Platform ecosystem! Microsoft just enabled Python execution directly within Power Platform — a massive leap for automation, analytics, and AI integration. 💡 Why it matters: For business users: This means you can now access advanced data transformation, AI, and visualization capabilities without leaving Power Apps or Power Automate. Think predictive analytics, natural language models, and data science workflows — all in one low-code environment. For developers: It bridges low-code and pro-code like never before. You can now reuse Python scripts, leverage existing libraries (Pandas, NumPy, OpenAI, etc.), and supercharge Power Platform solutions with real computation power. For organizations: Expect faster innovation, less dependency on external pipelines, and more value extracted from your data — directly within Microsoft’s governance and security layer. This is the convergence of low-code + pro-code + AI, and it’s going to reshape how we build and automate business solutions. 🔥 #PowerPlatform #Python #AI #Automation #DataScience #LowCode
Microsoft MVP | Helping teams go beyond low-code limits | Senior Software Engineer | Dynamics 365, Power Platform & Azure
we finally have real code, because #Python just became available inside #PowerPlatform and this a game changer… the new #Code #Interpreter feature just dropped, you can enable it in your environment, flip the switch in settings, and suddenly the instruction type shows a new #Code view, that’s the interpreter also output dropdowns now show documents and images, not just json or plain text... you can see the python generated from your prompt but unfortunately is not editable yet... but that’s the direction it seems to be going, and it will result in more deterministic outputs, less prompt magic you will be able to write clean and predictable logic... it can be used in #CopilotStudio as well, but i see most value in #PowerAutomate what’s the first thing you’d replace with python?
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7 Must-Know Dictionary Methods in Python: 1️⃣ get() — Safely access a key without KeyError. 2️⃣ update() — Merge or add key-value pair. 3️⃣ items() — Iterate over key-value pair. 4️⃣ setdefault() — Add a key only if it doesn’t exist. 5️⃣ pop() — Remove and return an item by key. 6️⃣ fromkeys() — Create a new dict from a list of keys. 7️⃣ popitem() — Remove the last inserted key-value pair. #Python #PythonProgramming #Coding #Developers #LearnPython
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Ever felt your Python code runs slow or gets messy? Chances are — you’re using the wrong data structure. This 10-second cheat sheet shows when to use Lists, Tuples, Sets, and Dictionaries 👇 Master this, and you’ll instantly write faster, cleaner, smarter code. #Python #DataScience #LearningEveryday #CodingTips #DataAnalytics #WomenInTech
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Ever felt your Python code runs slow or gets messy? Chances are — you’re using the wrong data structure. This 10-second cheat sheet shows when to use Lists, Tuples, Sets, and Dictionaries 👇 Master this, and you’ll instantly write faster, cleaner, smarter code. #Python #DataScience #LearningEveryday #CodingTips #DataAnalytics #WomenInTech
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💡 Python Tip — Even seasoned developers might overlook this! When dividing two integers in Python: print(6 / 4) # Output: 1.5 Python automatically converts the integers into floating-point numbers to give a precise decimal result. But what if you want an integer instead? You can type cast the result manually: print(int(6 / 4)) # Output: 1 This simply truncates the decimal — no rounding! 🔥 A cleaner and more Pythonic way: Use integer division with the // operator — it divides and converts in one step: print(6 // 4) # Output: 1 print(9 // 4) # Output: 2 print(-9 // 4) # Output: -3 # (Rounds down toward negative infinity!) Subtle details like these make your code both cleaner and more predictable. #Python #CodingTips #SoftwareDevelopment #LearningPython #Programming
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🐍 Day 2/30 — Comments in Python Today, I learned about comments in Python a simple but very important concept. Comments help us explain code, and Python completely ignores them during execution. ✔️ Single-line Comment # This is a comment print("Comments are ignored by Python") ✔️ Multi-line Comment """ This is a multi-line comment """ print("Learning comments!") 🧠 Tip: Use comments to explain logic, make code readable, and help others understand your program. #Python #Programming #LearnPython #PythonBasics #Scaler #CodingJourney #PythonForBeginners #30DaysOfCode #30DaysOfPythonjourney!
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