Python __init__.py: Declare Packages and Simplify Imports

The 4 Core JSON Functions in Python - When to Use What? If you work with JSON in Python, these four functions are all you need. But knowing when to use which is key: 📌 Common Scenarios: I have bytes from Pub/Sub → json.loads(message_bytes.decode("utf-8")) I have a JSON string → json.loads(json_string) I have a dict and want a string → json.dumps(my_dict) I have a dict and want bytes → json.dumps(my_dict).encode("utf-8") I want to parse from a file/stream → json.load(file) I want to write JSON to a file/stream → json.dump(obj, file) 💡 Pro Tip: load/dump → for files or streams loads/dumps → for strings in memory #Python

📺🐍 Create Callable Instances With Python's .__call__() Learn Python callables: what "callable" means, how to use dunder call, and how to build callable objects with step-by-step examples https://lnkd.in/dcPrVFfS

🐍 The Zen of Python: a set of guiding principles for writing good Python code. What happens when you run `import this` in Python shell? You will see the Zen of Python, a set of simple but powerful principles that guide how good Python code should be written. It is not about syntax. It is about clarity, simplicity, and thoughtful design. If you believe, code should be easy to read and understand, then the Zen of Python is for you! #Python #ZenOfPython #CodeQuality #CleanCode #ProgrammingPrinciples #DeveloperTips

🚀 Python OOPS – Day 7 🔧 __init__() Method (Constructor in Python) The __init__() method is Python’s constructor, automatically executed when an object of a class is created. Its main purpose is to initialize instance attributes and prepare the object for use. In simple terms: ➡ Class = Blueprint ➡ Object = Actual instance ➡ Constructor = Sets initial values inside the object The method takes self as its first parameter, representing the specific instance being created. 📝 Key Highlights ✔ Called automatically during object creation ✔ Initializes attributes with default or custom values ✔ Makes objects ready for immediate use Example use cases: 🎯 student registration, 🎯 user account creation, 🎯 order processing—all require initialization at the moment of creation.

🚀 Python OOPS – Day 7 🔧 __init__() Method (Constructor in Python) The __init__() method is Python’s constructor, automatically executed when an object of a class is created. Its main purpose is to initialize instance attributes and prepare the object for use. In simple terms: ➡ Class = Blueprint ➡ Object = Actual instance ➡ Constructor = Sets initial values inside the object The method takes self as its first parameter, representing the specific instance being created. 📝 Key Highlights ✔ Called automatically during object creation ✔ Initializes attributes with default or custom values ✔ Makes objects ready for immediate use Example use cases: 🎯 student registration, 🎯 user account creation, 🎯 order processing—all require initialization at the moment of creation.

🐍📰 Custom Python Dictionaries: Inheriting From dict vs UserDict In this tutorial, you'll learn to create custom dictionary-like classes in Python by inheriting from the built-in dict class or by subclassing UserDict from the collections module #python

Most beginners write long Python code. Pros use loops. If you understand for, while, range(), and iteration — you can automate 80% of repetitive tasks. Python Loops = Real Power https://lnkd.in/d6rVtjf6

Python function that cleans a list in one line Sometimes your data is messy. Here is a small Python function i use to remove duplicates and empty values from a list - fast and clean

Finally on python. Import all Libraries Load your dataset Carry out exploratory data analysis and Check for null values (drop colums or replace them) Visualize your data and check correlations (depending on the algorithm you adopt) Declare X and Y values Split x and y into training or test set Train our data and fit them Make your predictions Test how accurate your prediction is Then Display your report If you are using Decision tree : Visualize your decision tree Create a list of feature and class names for better readability Plot your tree. Fun working with python. Full practise starts now Kaggle, here i come.

Python Daily Tip #1 Python uses indentation to define code blocks, not braces {}. This will raise an error: if x > 0: print("Positive") This works: if x > 0: print("Positive") Why? Indentation is part of Python’s syntax, not just a formatting convention. If you’re coming from Java or Kotlin, think of indentation as mandatory braces. If this was helpful, like the post and leave a comment. Follow for daily Python tips. #Python #AndroidDevelopers #JavaDevelopers #SoftwareEngineering #ProgrammingTips