Python Conditional Statements: if, elif, else

🚀 The `__all__` Variable in Modules and Packages (Python) The `__all__` variable is a list of strings defining the public names of a module or package. When `from module import *` is used, only the names listed in `__all__` are imported. If `__all__` is not defined, all names that do not begin with an underscore are imported. It provides explicit control over the module's public API. Learn more on our website: https://techielearns.com #Python #PythonDev #DataScience #WebDev #professional #career #development

 Why Python remembers things after a function is done (code screenshot below) db_connector has finished execution. Its stack frame is gone. Yet connect still remembers host and port. That preserved state is a closure — created automatically when an inner function captures outer scope. You don’t “use closures” explicitly. You design around them. Why this matters: • avoids globals   • keeps config scoped   • cleaner APIs   • safer state Closures aren’t a trick. They’re how Python naturally models state + behavior. Once you notice this, patterns such as DB clients, API wrappers, and rate limiters become obvious. #Python   #SoftwareEngineering   #BackendDevelopment  

🚀 Control Flow: If Statements (Python) If statements are used to execute different blocks of code based on a condition. The basic syntax is `if condition:`. You can also use `elif` (else if) to check multiple conditions. The `else` block is executed if none of the conditions are true. Proper indentation is crucial for defining the scope of the blocks. #Python #PythonDev #DataScience #WebDev #professional #career #development

🚀 Collections Module: Deque for Efficient Queues (Python) The `collections` module provides specialized container data types, including `deque` (double-ended queue). `deque` is more efficient than using lists for implementing queues because it supports fast appends and pops from both ends. This makes it suitable for scenarios where you need to add and remove elements from both the front and the back of a queue. It avoids the O(n) time complexity associated with inserting or deleting elements at the beginning of a list. Learn more on our website: https://techielearns.com #Python #PythonDev #DataScience #WebDev #professional #career #development

🚀 Understanding Query & Path Parameters in FastAPI | Weblearns In API development, handling URL parameters correctly is one of the most important concepts. In our latest Weblearns tutorial, we explained Query Parameters and Path Parameters in FastAPI with practical examples. 🔹 How Path Parameters work in dynamic routes 🔹 How to use Query Parameters with default & optional values 🔹 Type validation using Python type hints 🔹 Building clean and RESTful APIs FastAPI makes backend development faster, cleaner, and more efficient with automatic validation and interactive documentation. If you're learning Python backend development or building REST APIs, this concept is a must-know. Watch the full tutorial and level up your FastAPI skills. https://lnkd.in/dTHYyc-4 #FastAPI #Python #BackendDevelopment #RESTAPI #APIDevelopment #WebDevelopment #PythonDeveloper #AsyncPython #SwaggerUI #Weblearns

Your #Python function takes a filename and **kwargs. But this raises an error, since "filename" is passed twice: myfunc('outfile.txt', filename='abcd', x=100) Solution: Set filename to be positional only: def myfunc(filename, /, **kwargs): Now *any* keyword argument works!

Have you ever written a perfectly “correct” Python function… that still feels slow and clumsy? Not because the logic is bad, but because it keeps doing expensive work over and over again: • re-reading files • re-parsing data • recomputing values that never change In today’s video, I walk through 10 Python features hiding in the standard library that make your code faster, clearer, and easier to reason about. Things like caching expensive operations, expressing intent more clearly, managing resources safely, and writing logic that scales without turning into spaghetti. 👉 Watch the video here: https://lnkd.in/eXcxPAQe #Python #PythonTips #ArjanCodes #CleanCode #SoftwareDesign #Pythonic

🚀 The `__name__` Variable (Python) Every Python module has a built-in variable named `__name__`. When a module is run directly, `__name__` is set to `"__main__"`. When a module is imported, `__name__` is set to the module's name. This allows you to write code that executes only when the module is run as a script, not when it's imported. Learn more on our website: https://techielearns.com #Python #PythonDev #DataScience #WebDev #professional #career #development

Recently, I explored how APIs work in Python, and understanding the full flow made things much clearer. From a client sending a request, to the backend handling validation, processing logic, interacting with data, and finally sending back a JSON response — everything fits together like a pipeline. Seeing the process visually helped me understand why APIs are so important in real-world applications like web platforms and ML systems. Still learning, still improving — but concepts like this make backend development feel less confusing and more exciting. #Python #API #BackendDevelopment #LearningInPublic #StudentDeveloper #TechJourney

Have you ever written a perfectly “correct” Python function… that still feels slow and clumsy? Not because the logic is bad, but because it keeps doing expensive work over and over again: • re-reading files • re-parsing data • recomputing values that never change In today’s video, I walk through 10 Python features hiding in the standard library that make your code faster, clearer, and easier to reason about. Things like caching expensive operations, expressing intent more clearly, managing resources safely, and writing logic that scales without turning into spaghetti. 👉 Watch the video here: https://lnkd.in/ePuhn3VB #Python #PythonTips #ArjanCodes #CleanCode #SoftwareDesign #Pythonic