Optimize Python Code with Memory Profiler

🚀Day 5- Variables and Initialisation of multiple variables. ✨In Python, a variable is a name used to store data. You create a variable by assigning a value using the = operator. ✨Python also allows multiple variable initialization in a single line, which makes code shorter and cleaner. Variables store values, and multiple assignment helps initialize several variables efficiently in one step. #Python #PythonProgramming #LearnPython #VariablesInPython #ProgrammingBasics #CodeNewbie #TechLearning #StudentDeveloper #LearningInPublic #Upskilling #DataScience

Operators are the building blocks of every Python program. Here are all 7 types you NEED to know: Arithmetic — Perform basic mathematical calculations on numbers. Relational — Compare two values and return True or False. Logical — Combine multiple conditions using Boolean logic. Bitwise — Work directly on binary (bit-level) representations of integers. Assignment — Assign values to variables, with shortcuts for updating them. Membership — Check whether a value exists within a sequence. Identity — Check if two variables point to the same object in memory.Level up your Python skills with these essential operators! #Python #Coding #Programming#operators

Single-threaded scripts are too slow. Python's `multiprocessing` or `asyncio` is mandatory for large datasets. Scraping 1 URL = 1 second. Scraping 10,000 URLs sequentially = 3 hours. Scraping 10,000 URLs with 10 workers = 18 minutes. Learn concurrency. Asyncio or Threading? What do you use? #python #performance #coding #scaling

Python programs become more powerful when they can interact with users. Using input() and print(), we can create simple interactive programs.

7 Python tricks that may help make the most of the standalone XGBoost library, particularly in terms of seeking more accurate predictive models. https://lnkd.in/eDqvR74a

One thing I found really interesting about Python is how threading actually works. A lot of people assume threads automatically mean parallel execution — but in CPython there’s something called the GIL, which basically means only one thread runs Python code at a time. So threading is still great when your program is mostly waiting (network, APIs, database calls…), but for heavy CPU work you usually need multiprocessing or native libraries. Understanding this honestly cleared up a lot of confusion for me about Python performance. #Python #Backend #Concurrency

📌 Python Assignment Operators Assignment operators are used to assign values to variables and update them easily. Example: • x = 5 → Assigns value 5 to the variable x • x += 100 → Adds 100 to x and stores the result in x • x %= 5 → Finds the remainder when x is divided by 5 and updates x These operators help write cleaner and shorter code while performing operations on variables. #Python #PythonProgramming #LearnPython #CodingJourney #ProgrammingBasics #DataAnalytics 🚀

🚀 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

Day 50 – Updating Dictionary Values in Python: Day 50 focused on updating dictionaries dynamically in Python. This task demonstrated how to access existing data, add new key–value pairs, and allow users to update values through input. It also included checking whether a key exists before modifying it, reinforcing safe data handling and practical dictionary operations. GitHub Code: https://lnkd.in/g3dC3DAG #Day50 #100DaysOfCode #Python #Dictionaries #DataStructures #UserInput #LogicBuilding #DailyCoding #Consistency