Comparing Dates and Times in Python

🚀 Formatting Dates and Times (strftime) (Python) The `strftime()` method is used to format date and time objects into strings. It takes a format string as an argument, which specifies how the date and time should be represented. Different format codes are available to represent various components of the date and time. This is crucial for presenting dates and times in a user-friendly or application-specific format. #Python #PythonDev #DataScience #WebDev #professional #career #development

🚀 Scope of Variables (Python) The scope of a variable determines where it can be accessed in the code. Variables defined inside a function have local scope and are only accessible within that function. Variables defined outside any function have global scope and can be accessed from anywhere in the program. Python uses the LEGB rule (Local, Enclosing, Global, Built-in) to resolve variable names. #Python #PythonDev #DataScience #WebDev #professional #career #development

🚀 Function Arguments and Parameters (Python) Parameters are placeholders for values that a function expects to receive when called. Arguments are the actual values passed to the function during a call. Python supports positional arguments, where the order matters, and keyword arguments, where the argument is explicitly associated with a parameter name using `name=value`. Default parameter values can be specified in the function definition, allowing the function to be called without providing a value for that parameter. #Python #PythonDev #DataScience #WebDev #professional #career #development

What is a 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗼𝗿 in Python? This is one of the most asked questions in interviews, and it’s understandable why. A generator is a concept introduced in Python as an alternative to arrays, mainly to save memory usage. It’s what allows a function to produce values lazily, one at a time. In most assumptions, the keyword yield belongs to generators, and it is what makes them what they are. But that’s not entirely correct. A generator is a subclass of an iterator, and any iterator can be considered iterable. While all generators are iterators, not all iterators are generators. What makes a generator special compared to a regular iterator is its 𝘀𝗲𝗻𝗱, 𝘁𝗵𝗿𝗼𝘄 and 𝗰𝗹𝗼𝘀𝗲 methods. Now you’ve learned about Python generators in a true sense! The image below depicts client/server analogy build over generator. #Programming #Python #Iterators #Generator #Blasquared #Rarblack 𝘋𝘪𝘴𝘤𝘭𝘢𝘪𝘮𝘦𝘳: 𝘛𝘩𝘪𝘴 𝘱𝘰𝘴𝘵 𝘸𝘢𝘴 𝘸𝘳𝘪𝘵𝘵𝘦𝘯 𝘸𝘪𝘵𝘩𝘰𝘶𝘵 𝘳𝘦𝘭𝘪𝘢𝘯𝘤𝘦 𝘰𝘯 𝘈𝘐.

Two lines of Python. Same result. Very different design. A method and a property can look almost interchangeable, but they communicate very different things about your code: cost, safety, and intent. Get that choice wrong, and you end up hiding work, I/O, or even async behavior behind what looks like a simple attribute access. In today’s video, I walk through clear, practical guidelines for deciding when something should be a property and when it should be a method. I’ll look at derived state, setters, Protocols, and why async properties are usually a design smell, even though Python technically allows them. 👉 Watch the full breakdown here: https://lnkd.in/eyXC6xyM. #python #softwaredesign #cleancode #objectoriented #apiDesign #developers

🚀 Closures (Python) A closure is a function object that remembers values in enclosing scopes even if they are not present in memory. This is achieved when a function is defined inside another function, and the inner function references variables from the outer function's scope. The inner function 'closes over' these variables, retaining access to them even after the outer function has finished executing. Closures are used for data hiding and creating stateful functions. #Python #PythonDev #DataScience #WebDev #professional #career #development

Two lines of Python. Same result. Very different design. A method and a property can look almost interchangeable, but they communicate very different things about your code: cost, safety, and intent. Get that choice wrong, and you end up hiding work, I/O, or even async behavior behind what looks like a simple attribute access. In today’s video, I walk through clear, practical guidelines for deciding when something should be a property and when it should be a method. I’ll look at derived state, setters, Protocols, and why async properties are usually a design smell, even though Python technically allows them. 👉 Watch the full breakdown here: https://lnkd.in/eTHn7Rks. #python #softwaredesign #cleancode #objectoriented #apiDesign #developers

📌Python Sets – Difference Today, I explored the Difference operation in Python sets. What is Difference? It returns a new set containing only the elements from the first set that are not present in the second set. ✅ Using difference() method ✅ Using - operator (shortcut method) ✅ Result contains unique values only 🧩 Example: set3 = set1.difference(set2) # or set3 = set1 - set2 🔎 Important Note: 🔹Order does not matter in sets. 🔹The result depends on which set comes first. 🔹set1 - set2 is different from set2 - set1 Understanding Difference helps in filtering and comparing datasets effectively 🚀 #Python #PythonSets #DataAnalytics #LearningJourney #CodingPractice #Upskilling

📌 Python Sets – Add & Update Methods I practiced how to add new elements to a set using add() and update() methods. ✅ add() → Adds one single element to a set ✅ update() → Adds multiple elements from another set (or iterable) 🧩 Example: # Add one item myset.add("Grapes") # Add multiple items set1.update(set2) #Python #LearningPython #DataAnalytics #PythonSets #CodingJourney #Upskilling

🚀 The 'pass' Statement: A Placeholder (Python) The 'pass' statement is a null operation; nothing happens when it is executed. It is used as a placeholder where a statement is syntactically required but no action needs to be taken. This is useful for creating empty function bodies, incomplete classes, or branches of conditional statements that will be implemented later. It prevents syntax errors and allows you to structure your code before filling in the details. #Python #PythonDev #DataScience #WebDev #professional #career #development