Random in #Python : Making Your Code Think Differently Every Time Random is built-in python module that helps your program generate unpredictable values. It allows your code to behave differently every time it runs, just like real life. Without random --> static output With random --> dynamic, realistic programs randint is a function that returns a random whole number within a given range. ==========> import random random_integer = random.randint(1, 10) print(random_integer) ============================> #Python #PythonBeginners #PythonTips #PythonLearning
Python Random Module for Dynamic Output
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THE RIGHT MENTAL MODEL TO HAVE: Know what is possible with these data types and check them up based on what you want to achieve 1. Starting with variables: Making all of your variable names very descriptive for optimal readability because others may have to read your code. 2. Strings, its methods and python functions that can be used on them 3. How strings can be formatted Next is going to be working with numbers #python
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In order to make out put of multiple outputs at same time of what type of topic in both python and sql scenario #PYTHON topics to use ->Multiple variables ->Tuples ->Lists / Dictionaries ->Formatted output (f-strings / print with commas) #Sql topics to use ->SELECT multiple columns ->Aggregate functions together ->Subqueries ->JOINs
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Day 18 of 100 Days of Python — for Loop Today, I practiced the for loop in Python. The for loop is used to execute a block of code repeatedly over a sequence such as a list, string, or range. Key Points — for Loop in Python 1) Iteration over sequences Executes code once for each element in a sequence. 2) Works with range() Commonly used to repeat actions a fixed number of times. 3) Suitable for collections Used with lists, tuples, sets, dictionaries, and strings. 4) Clean and readable syntax Helps write structured and predictable loops. Key Takeaway: The for loop simplifies repetitive tasks and makes iteration easy to manage. #100DaysOfPython #PythonBasics #LearningJourney #ForLoop #ControlFlow #LearnInPublic
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A simple binary clock in Python that displays the current time using emojis: 🟩 for 1 and 🟥 for 0. Ideal for learning about binaries visually! https://lnkd.in/ewiFEPUv #Python #PythonProyect
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👀 Watchout when you name your files❗❗❗ Some examples of names that you NEVER should use for your .py files. Why? Those are standard module names in Python! When you try to run your program, Python will have a conflict because it sees that you have a file in your project with the same name as some built-in library or a file in a virtual environment. #python #virtualenvironment #ai #Python #py
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#rust #python #molar MolAR 1.1 is out with (once again) rewritten internals of the Python bindings and improved selection parser. If you want to try it out be aware that the bindings may have some rough edges and may unintentionally eat your hamster :) https://lnkd.in/dfu6-9N8
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HOW TO REVERSE THE PROBLEM IN PYTHON # Manual reversal with a loop original = "Python" reversed_str = "" for char in original: reversed_str = char + reversed_str print(reversed_str) OUTPUT : nohtyP
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Python’s 'if' Statement seems simple, but 'if' in Python has quirks—and knowing how it really works separates script kiddies from serious devs. This post covers syntax, indentation drama, chained conditions, and more. Get your logic straight and write code that flows. #Python #CodeSmart #ConditionalLogic #LearnToCode #RheinwerkComputingBlog Dive into the details: https://hubs.la/Q03_jXm70
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Day 20 of 100 Days of Python — break / continue / pass Today, I practiced break, continue, and pass in Python. These statements control the flow of loops and decide when a loop should stop, skip, or do nothing. Key Points — Loop Control Statements 1) break Immediately stops the loop when a condition is met. 2) continue Skips the current iteration and moves to the next one. 3) pass Acts as a placeholder when no action is required. Key Takeaway: break stops, continue skips, and pass does nothing — but each has a specific purpose. #100DaysOfPython #PythonBasics #LearningJourney #BreakContinuePass #ControlFlow #LearnInPublic
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Ever wondered how to parametrize exception testing in PyTest? Here's a simple pattern using `parametrize` and `nullcontext` that keeps tests clean and readable. https://lnkd.in/dyVkSeJR #PyTest #Python #TDD
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