Python with statement and context managers

🐍📺 Using OrderedDict in Python [Video] In this video course, you'll learn Python's OrderedDict and how to use it in your code. You'll also learn the main differences between regular dictionaries and ordered dictionaries. #python

🐍📺 YAML: Python's Missing Battery [Video] In this video course, you'll learn to work with YAML in Python. You'll also learn of the available libraries, their strengths and weaknesses, and the advanced and potentially dangerous features of YAML #python

🐍📺 In this video course, you'll learn to provide multiple constructors in your classes. You'll also learn techniques like checking argument types, using default argument values, and more. #python

💥 Day 39 of My 70-Day Python Learning Challenge 💥 Continuing with exception handling in Python, I explored the 'else' and 'finally' exception code used alongside 'try' and 'except'. I learned that: -try runs the code that might cause an error -except handles the error if it occurs -else executes only when no error occurs in the try block -finally runs no matter what happens Using these codes doesn't necessarily stop the program from running. It also makes programs more reliable and easier to manage. #70dayschallenge #python #exceptionhandling

🐍📺 One of the most useful data structures in Python is the dictionary. In this video course, you’ll learn what a dictionary is, how dictionaries differ from lists and tuples, and how to define and use dictionaries in your own code #python

-> How Python Manages Memory Automatically – Garbage Collection While exploring Python internals, I learned something interesting about how Python handles memory. Python uses a mechanism called Garbage Collection to automatically remove objects that are no longer being used by the program. This helps prevent memory leaks and keeps applications efficient. Python mainly manages this using two techniques: 🔹 Reference Counting – Each object keeps track of how many variables reference it. When the reference count becomes 0, Python deletes that object from memory. 🔹 Generational Garbage Collection – This handles circular references, where objects reference each other and cannot be cleaned by reference counting alone. This automatic memory management is one of the reasons why developers can focus more on logic and less on manual memory handling when working with Python. Always fascinating to learn what happens behind the scenes in Python. #Python #PythonInternals #GarbageCollection #BackendDevelopment #LearnInPublic

🐍📺 In this Python Basics video course, you'll learn how to create user-defined functions that you can execute several times throughout your code. You'll also try your hand at repeating code with for and while loops. #python

Immutability in Python In Python, the difference between list and tuple is not just syntax. It’s about control over data. list → mutable tuple → immutable Why it matters: - predictable behavior - fewer side effects - can be used as dict keys If data shouldn’t change make it immutable.

🐍📺Check if a Python String Contains a Substring [Video] In this video course, you'll learn to check whether a string contains a substring. You'll also learn about idiomatic ways to inspect a substring further and search for substrings in pandas #python

Have you ever wondered what's inside the QR code? Here's a simple description in a single picture. If you want details, check the underlying link, it leads to a qr-verbose Python package which was used to generate this QR, it also have some other modes which are made specifically for educational purposes! https://lnkd.in/dmS6uRmz