Basic Python Course For Beginners

Basic Python Course Outline For Beginners 

1. Introduction to Python 

Python Programming for Beginners:

• Objective: Understand what Python is and set up the development environment.
• Topics:
  • Overview of Python
  • Installing Python and setting up an IDE (e.g. VSCode)
  • Writing and running your first Python script
• Example Exercise:

Write a simple script to print “Hello, World!” and run it.

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First Best Python Program for Beginners:

Python Programming for Beginners:

2. Variables and Data Types

• Objective: Video Content about Python’s data types and how to use variables.
• Topics:
  • Data types: integers, floats, strings, booleans
  • Variable assignment
  • Type conversion (video Content:)
• Example Exercise:

Create variables of different data types and print their values and types.

Read More Detailed Articles:

Data types in Python:

String Data Types In Python:

3. Basic Operators

• Objective: Understand how to perform operations on variables.
• Topics:
  • Arithmetic operators: +, -, *, /, %, //, **
  • Comparison operators: ==, !=, >, <, >=, <=
  • Logical operators: and, or, not
• Example Exercise:
  • Perform arithmetic operations and comparisons with different operators and print the results.

Operators In Python Playlist Complete Guide:

4. Control Flow

• Objective: Learn to control the flow of a program using conditionals and loops.
• Topics:
  • Conditional statements: if, elif, else
  • Loops: for loops, while loops
  • Loop control: break, continue
• Example Exercise:
  • Write a program that uses a loop to print numbers from 1 to 10 and prints a message if a number is even or odd.

5. Functions

• Objective: Understand how to define and use functions in Python.
• Topics:
  • Defining functions with def
  • Function parameters and return values
  • Scope and lifetime of variables
• Example Exercise:
  • Write a function that takes two numbers as parameters and returns their sum. Use this function in a program to add numbers provided by the user.

6. Lists and Tuples

• Objective: Work with Python’s built-in data structures for storing collections of data.
• Topics:
  • Creating and accessing lists and tuples
  • List and tuple methods (e.g., append(), remove(), sort())
  • List comprehensions
• Example Exercise:
  • Create a list of your favorite fruits and perform various operations like adding and removing items. Also, create a tuple of numbers and access its elements.

7. Dictionaries and Sets

• Objective: Learn how to use dictionaries and sets for data storage and manipulation.
• Topics:
  • Creating and accessing dictionaries and sets
  • Dictionary methods (e.g., keys(), values(), items())
  • Set operations (e.g., union, intersection, difference)
• Example Exercise:
  • Write a program using a dictionary to store student names and grades. Implement functionality to add a new student, update grades, and display all students and grades.

8. File Handling

• Objective: Understand how to read from and write to files in Python.
• Topics:
  • Reading from files
  • Writing to files
  • Working with file paths
• Example Exercise:
  • Write a program that reads a text file and counts the number of words. Then, write another program that writes a list of strings to a file.

9. Error Handling

• Objective: Learn to handle errors and exceptions in Python.
• Topics:
  • Using try, except, finally
  • Handling specific exceptions
  • Raising exceptions
• Example Exercise:
  • Write a program that prompts the user to enter a number and handles any errors that occur if the input is not a valid number.

10. Introduction to Modules and Libraries

• Objective: Get familiar with using external libraries and modules.
• Topics:
  • Importing standard libraries (e.g., math, datetime)
  • Using third-party libraries (e.g., requests, numpy)
  • Understanding the pip package manager
• Example Exercise:
  • Use the math library to perform advanced mathematical calculations and the datetime library to display the current date and time.
    

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