Python Learning
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Python learning resources Beginner to advanced Python guides, cheatsheets, books and projects. For data science, backend and automation. Join π https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist
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Python Basics
πΉ Variables = Store data for use in a program
x = 1 print(x) # Output: 1πΉ Data Types = Classification of data (Boolean, String, Number)
number = 10 if number > 0: print("The number is true") # Output: trueπΉ Operators = Symbols for performing operations (+, -, *, /, %, etc.)
print(1 + 2) # Output: 3 print(2 - 1) # Output: 1πΉ Control Statements = Manage program execution flow β Conditional Statements β "if-then" logic
score = 85 if score >= 90: print("Excellent") elif score >= 75: print("Good job") else: print("Keep trying")β Loop Statements β Repeat actions (for, while loops)
count = 1 while count <= 5: print(count) count += 1πΉ Functions = Reusable blocks of code
def my_function(): print("Hello from a function") my_function() # Output: Hello from a function
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π Introduction to Programming with Python
πΉ Software = Instructions for hardware
πΉ Programming = Writing instructions to create software
πΉ Code = The instructions written to build software
πΉ Syntax = The grammar of a programming language
π‘ Why Python? Python is beginner-friendly, powerful, and requires minimal code compared to other languages. Example: Printing "Hello World" is simpler in Python than in Java!
β‘ Compiler vs. Interpreter
πΉ Compiler (C, C++) β Translates entire code at once β Faster execution
πΉ Interpreter (Python, Java) β Executes code line by line β Easier debugging
π₯ Key Concepts
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Source Code = Human-readable instructions
β
Processor = The brain of a computer
β
Bytecode = Intermediate code generated after compilation
π Pros & Cons
βοΈ Compilers = Faster execution, better security, debugging tools
β Compilers = Slower compilation, catches only syntax/semantic errors
βοΈ Interpreters = Easy debugging, efficient memory usage
β Interpreters = Slower execution
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