Python Level 1 Course

Master Python programming fundamentals in 12 weeks (Ages 15+)

Python Level 1 Course

Embark on your programming journey with our comprehensive "Python Level 1 Course". Over twelve weeks (1 hour per week), you'll build a solid foundation in Python programming, understand core programming concepts, and develop practical skills through hands-on projects. This course is specifically designed for beginners aged 15+ with no prior coding experience. CerebraLabs is conducting this Python course with weekly one-hour sessions that combine lectures, demonstrations, and interactive coding exercises.

In this course, you will learn:
Understand programming fundamentals: variables, data types, operators, and control flow.
Create interactive programs: work with user input/output and build responsive applications.
Develop problem-solving skills: use conditional statements and loops for decision-making.
Write reusable code: create and use functions to organize your programs.
Work with data structures: master lists, tuples, and dictionaries for data management.
Extend Python's capabilities: utilize modules and libraries for advanced functionality.
Complete a personal project: apply your skills to create a Python application.

Benefits of Taking Our Course:
Age-Appropriate Learning: Content specifically designed for teenagers and young adults.
Weekly Progressive Structure: Build skills gradually with a well-paced curriculum.
Hands-On Experience: Learn by doing with coding exercises in every session.
Project-Based Learning: Apply concepts to create real, working programs.
Personalized Guidance: Receive individual feedback on your code and projects.
Foundation for Advanced Topics: Prepare for more complex programming concepts.

Who is this course for?
Teenagers (15+) interested in learning programming.
Young adults looking to develop coding skills.
Complete beginners with no prior programming experience.
Students considering computer science or related fields.

Start your programming journey with us today!

Enroll Now!

    Welcome & Course Overview:
  • Introduction to the course objectives
  • Applications and power of Python programming
  • Career paths using Python

    • Setting Up Your Development Environment:
  • Installing miniconda on your computer
  • Introduction to Visual Studio Code IDE
  • Writing your first "Hello, World!" program

    Variables and Data Types:
  • Understanding variables for storing data
  • Basic data types: integers, floats, strings, booleans
  • Variable naming conventions and best practices

    • Operators and Expressions:
  • Arithmetic operators for calculations
  • Comparison operators for conditional checks
  • Creating expressions with variables and operators

    User Input with input() Method:
  • Getting user input in Python programs
  • Converting input to appropriate data types
  • Creating interactive programs

    • Formatting Output with f-strings:
  • Using f-strings for clean output formatting
  • Combining variables and text in output
  • Creating personalized user experiences

    If Statements:
  • Using if statements for conditional execution
  • Writing conditions with comparison operators
  • Nested if statements for complex decisions

    • Else and Elif Statements:
  • Adding else clauses for alternative execution
  • Using elif for multiple conditions
  • Building complete decision trees in your programs

    While Loops:
  • Understanding loops for repetitive tasks
  • Using while loops with conditions
  • Avoiding infinite loops with proper control

    • For Loops:
  • Using for loops to iterate through sequences
  • Range function for numeric iterations
  • For-each style loops for data processing

    Defining Functions:
  • Creating reusable blocks of code with functions
  • Function parameters and return values
  • Writing functions for specific tasks

    • Function Calls and Scope:
  • Calling functions and passing arguments
  • Understanding local and global variables
  • Variable scope within functions

    • Using Built-in Functions:
  • Exploring Python's built-in functions
  • Using len(), max(), min(), abs(), and more
  • Simplifying code with built-in functions

    Creating and Accessing Lists:
  • Understanding lists as ordered collections
  • Creating lists with square brackets
  • Accessing elements using indexing

    • List Operations:
  • Adding, removing, and modifying list elements
  • Using list methods: append, insert, remove, pop
  • Sorting and reversing lists

    • Iterating through Lists:
  • Using for loops to process list elements
  • List comprehensions for concise operations
  • Finding elements in lists

    String Fundamentals:
  • Understanding strings as character sequences
  • String indexing and slicing techniques
  • Accessing substrings within strings

    • String Methods:
  • Using common string methods: upper(), lower(), split(), join()
  • Searching within strings using find() and index()
  • Replacing and modifying string content

    • String Formatting Techniques:
  • Advanced f-string formatting
  • Alternative formatting with .format() method
  • String concatenation and repetition

    Tuples - Immutable Lists:
  • Creating and using tuples
  • Understanding tuple immutability
  • When to use tuples vs. lists

    • Dictionaries - Key-Value Pairs:
  • Creating dictionaries with key-value pairs
  • Accessing, adding, and modifying dictionary elements
  • Dictionary methods and operations

    • Data Structures Recap:
  • Comparing lists, tuples, and dictionaries
  • Choosing the right data structure for different scenarios
  • Nested data structures for complex data

    Importing Modules:
  • Understanding modules for code organization
  • Different ways to import modules
  • Creating aliases for imported modules

    • Using Standard Library Modules:
  • Exploring the random module for generating random numbers
  • Using the math module for mathematical operations
  • Introduction to datetime for working with dates and times

    • Installing Third-Party Packages:
  • Introduction to pip package manager
  • Installing external libraries
  • Brief overview of popular Python packages

    Project Presentations and Review:
  • Student project presentations
  • Code review and feedback
  • Suggestions for improvement

    • Resources for Further Learning:
  • Online tutorials and learning platforms
  • Python documentation and references
  • Python communities and forums

    • Python for Daily Life:
  • Automating everyday tasks with Python
  • Building personal projects
  • Pathways to advanced Python topics

Course Details

  • Duration: 12 weeks
  • Schedule: Mon - Thurs
  • Age Group: 15+ years
  • Course Fee: PKR 4800
Python Programming Course

Key Features

  • Weekly live sessions
  • Hands-on coding exercises
  • Personal project development
  • Individual feedback
  • Certificate of completion