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Python
Introduction to Python Programming
• Python is a high-level programming language known for its
simplicity and readability.
• It supports multiple programming paradigms such as
procedural, object-oriented, and functional programming.
• Python is widely used in web development, data analysis,
artificial intelligence, and scientific computing.
Variables in Python
• Variables are containers for storing data values in Python.
• A variable is created the moment you first assign a value to it.
• You can assign a value to a variable using the assignment
operator "=".
• Variables in Python are dynamically typed, meaning you don't
have to explicitly declare the data type.
• If you want to specify the data type of a variable, this can be done with
casting.
Data Types in Python
• Python has various built-in data types including integers, floats,
strings, lists, tuples, dictionaries, and sets.
• You can use the type() function to determine the data type of a
variable.
• Python also supports type conversion functions like int(), float(),
str(), list(), tuple(), set(), and dict().
Numeric Data Types in Python
• Numeric data types in Python include integers, floats etc
• Python supports arithmetic operations like addition,
subtraction, multiplication, division, and modulus on numeric
data types.
Strings in Python
• Strings are sequences of characters enclosed in single, double,
or triple quotes in Python.
• You can use multiline strings using three quotation marks.
• You can perform various operations on strings like
concatenation, slicing, formatting, and methods like upper(),
lower(), strip(), replace(), and join().
• Some other functionalities i.e.concatenation, escape characters
• You can access strings as arrays
Lists and Tuples in Python
• Lists and tuples are ordered collections of items in Python.
• Lists are mutable, while tuples are immutable.
• You can perform operations like indexing, slicing, appending,
inserting, and removing elements in lists and tuples.
Dictionaries and Sets in Python
• Dictionaries are unordered collections of key-value pairs in
Python.
• Sets are unordered collections of unique elements.
• Both dictionaries and sets are highly efficient for data retrieval
and manipulation operations.
Loops in Python
• Python supports two types of loops: for loop and while loop.
• The for loop is used for iterating over a sequence like lists,
tuples, strings, or dictionaries.
• The while loop is used for executing a block of code as long as a
specified condition is true.
Functions in Python
• Functions are blocks of reusable code that perform a specific
task.
• You can define functions using the def keyword followed by the
function name and parameters.
• Python functions can return a value using the return statement
and can have default arguments and keyword arguments.
Conclusion
• Python programming offers a wide range of features and
functionalities for developing various applications.
• Understanding variables, data types, loops, and functions is
crucial for mastering Python programming.
• Continuous practice and exploration of Python's vast ecosystem
will enhance your programming skills and problem-solving
abilities.

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Introduction to Python Programming for beginners

  • 2. Introduction to Python Programming • Python is a high-level programming language known for its simplicity and readability. • It supports multiple programming paradigms such as procedural, object-oriented, and functional programming. • Python is widely used in web development, data analysis, artificial intelligence, and scientific computing.
  • 3. Variables in Python • Variables are containers for storing data values in Python. • A variable is created the moment you first assign a value to it. • You can assign a value to a variable using the assignment operator "=". • Variables in Python are dynamically typed, meaning you don't have to explicitly declare the data type. • If you want to specify the data type of a variable, this can be done with casting.
  • 4. Data Types in Python • Python has various built-in data types including integers, floats, strings, lists, tuples, dictionaries, and sets. • You can use the type() function to determine the data type of a variable. • Python also supports type conversion functions like int(), float(), str(), list(), tuple(), set(), and dict().
  • 5. Numeric Data Types in Python • Numeric data types in Python include integers, floats etc • Python supports arithmetic operations like addition, subtraction, multiplication, division, and modulus on numeric data types.
  • 6. Strings in Python • Strings are sequences of characters enclosed in single, double, or triple quotes in Python. • You can use multiline strings using three quotation marks. • You can perform various operations on strings like concatenation, slicing, formatting, and methods like upper(), lower(), strip(), replace(), and join(). • Some other functionalities i.e.concatenation, escape characters • You can access strings as arrays
  • 7. Lists and Tuples in Python • Lists and tuples are ordered collections of items in Python. • Lists are mutable, while tuples are immutable. • You can perform operations like indexing, slicing, appending, inserting, and removing elements in lists and tuples.
  • 8. Dictionaries and Sets in Python • Dictionaries are unordered collections of key-value pairs in Python. • Sets are unordered collections of unique elements. • Both dictionaries and sets are highly efficient for data retrieval and manipulation operations.
  • 9. Loops in Python • Python supports two types of loops: for loop and while loop. • The for loop is used for iterating over a sequence like lists, tuples, strings, or dictionaries. • The while loop is used for executing a block of code as long as a specified condition is true.
  • 10. Functions in Python • Functions are blocks of reusable code that perform a specific task. • You can define functions using the def keyword followed by the function name and parameters. • Python functions can return a value using the return statement and can have default arguments and keyword arguments.
  • 11. Conclusion • Python programming offers a wide range of features and functionalities for developing various applications. • Understanding variables, data types, loops, and functions is crucial for mastering Python programming. • Continuous practice and exploration of Python's vast ecosystem will enhance your programming skills and problem-solving abilities.

Editor's Notes

  • #6: Last element wont be included when slicing strings