Python Program
Unlock the power of Python with this comprehensive programming course tailored to take you from foundational concepts to advanced applications. Designed with a strong emphasis on hands-on coding, real-world projects, and practical development skills, this course equips learners to confidently tackle software challenges and data-driven tasks in modern environments.
Who Should Enroll?
This course is ideal for:
- Beginners with no prior coding experience who want a solid Python foundation.
- Aspiring developers looking to deepen their software development skills.
- Data enthusiasts aiming to automate workflows or manage structured data.
- Students or professionals preparing for technical roles that require strong Python proficiency.
What You’ll Learn
Progress through 20 structured modules covering everything from Python basics to advanced programming paradigms:
- Python Fundamentals: Setup, syntax, and running programs
- Core Concepts: Variables, data types, arithmetic, and logical operations
- Data Structures: Master lists, tuples, dictionaries, and nested structures
- Control Flow: Conditional statements, loops, and exception handling
- Functions & Modules: From basic functions to lambda, *args/**kwargs, and reusable modules
- Object-Oriented & Functional Programming: Dive into classes, inheritance, decorators, and functional techniques like map(), filter(), and reduce()
- Advanced Constructs: Comprehensions, recursion, and custom iterators
- Real-World Coding Projects to consolidate skills in practical contexts
Learning Outcomes
By the end of this course, you will be able to:
- Build and run Python applications using modern IDEs.
- Create robust programs using functions, conditionals, and loops.
- Implement structured data handling through Python’s core data structures.
- Automate file operations and manipulate date/time data.
- Apply object-oriented and functional programming principles effectively.
- Design, test, and deploy real-world Python solutions with confidence.
Real-World Projects Include
Apply your skills with guided, real-life applications:
1.Web Scraping Tool
- Extract and clean data using requests and BeautifulSoup.
- Export structured information into CSV or JSON files.
2.GUI Calculator Using Tkinter
- Build an interactive graphical calculator.
- Use event-driven logic to handle user inputs and display real-time results.
3.File Automation Script
- Organize, rename, and compress files automatically.
- Streamline routine file management tasks with Python scripts.
Course Curriculum
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Overview of Python Programming Language
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Setting up the Development Environment
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Introduction to IDEs (Integrated Development Environments)
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Writing and Running Python Programs
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What is a Variable?
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Variable Assignment and Types
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Naming Rules and Conventions
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Dynamic Typing in Python
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Primitive Data Types: Integer, Float, String, Boolean
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Type Conversion
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Lists, Tuples, and Dictionaries as Data Types
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Basic Arithmetic Operators (+, -, *, /, %, **, //)
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Operator Precedence
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Working with Floats and Integers
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Importing and Using the math Module
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Mathematical Functions: sqrt(), ceil(), floor(), pow(), etc.
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Working with Constants: pi, e
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The datetime Module: date, time, datetime classes
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Creating and manipulating date and time objects
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Formatting dates and times (strftime, strptime)
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Time zones and time deltas
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List
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Creating and Accessing Lists
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List Operations: Append, Remove, Insert, Pop, etc.
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Slicing and Indexing
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Nested Lists
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Tuple
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Defining and Using Tuples
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Tuple Operations
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Immutable vs Mutable Data Types
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Tuple Unpacking
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Dictionary
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Creating Dictionaries
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Accessing and Modifying Dictionary Values
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Dictionary Operations: get(), keys(), values(), items()
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Iterating through Dictionaries
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Conditional Statements: if, elif, else
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Comparison Operators: ==, !=, >, <,>=, <=
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Nested Conditions
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Logical Operators: and, or, not
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Combining Conditions with Logical Operators
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Truth Tables
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for Loop
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while Loop
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break, continue, and else in Loops
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Nested Loops
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Introduction to Exceptions
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try, except, else, and finally Blocks
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Raising Exceptions with raise
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Common Python Exceptions: IndexError, ValueError, KeyError, etc.
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Handling Multiple Exceptions
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Opening and Closing Files
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Reading Files: read(), readlines()
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Writing to Files: write(), writelines()
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Working with File Paths
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Handling File Not Found Errors
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Defining Functions: def Keyword
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Function Arguments and Return Values
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Positional vs Keyword Arguments
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Default Arguments and Variable-Length Arguments (*args, **kwargs)
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Lambda Functions
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Recursion
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Importing Modules
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Standard Library Modules: os, sys, math, random, etc.
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Creating Custom Modules
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Module Aliases with as
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Introduction to OOP Concepts
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Classes and Objects
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Defining a Class
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Instance Variables and Methods
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__init__ Method (Constructor)
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Inheritance: Inheriting from a Parent Class
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Method Overriding
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Polymorphism
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Encapsulation and Abstraction
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Working with self
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map(): Applying functions to a sequence
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filter(): Filtering sequences based on conditions
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zip(): Combining multiple sequences into a tuple-based sequence
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reduce(): Applying a function cumulatively to a sequence to reduce it to a single value
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Understanding Recursion and Base Cases
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Writing Recursive Functions
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Advantages and Limitations of Recursion
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Examples of Recursive Functions (Factorial, Fibonacci, etc.)
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List Comprehensions: Creating lists using a single line of code
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Dictionary Comprehensions: Creating dictionaries with a concise syntax
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Set Comprehensions: Creating sets using comprehensions
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Nested Comprehensions
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Introduction to Decorators
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Creating and Using Simple Decorators
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Function Wrapping with Decorators
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Using Built-in Decorators: @staticmethod, @classmethod, @property
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Chaining Decorators
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What are Iterators?
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The iter() Function
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The next() Function
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Creating Custom Iterators
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Understanding the Iteration Protocol
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Generator Functions and yield
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Project 1: Web Scraping
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Introduction to Web Scraping
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Using requests and BeautifulSoup libraries
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Scraping data from websites (e.g., articles, tables, product listings)
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Parsing and cleaning scraped data
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Saving scraped data into a CSV or JSON file
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Project 2: GUI Calculator Using Tkinter
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Introduction to GUI Programming with Tkinter
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Creating a Simple Calculator GUI
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Buttons for numbers and operations
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Displaying results on the window
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Handling button clicks and calculations
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Customizing the appearance with Tkinter widgets
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Creating event-driven applications
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Project 3: File Automation Script
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Automating File Organization
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Moving files based on extensions (e.g., move images, text files)
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Renaming files in bulk
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File compression and extraction
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Reading and writing to multiple files
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Using os and shutil for file system operations
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Automating backups or routine file management tasks
Jonathan Campbell
- 72 Videos
- 102 Lectures
- Exp. 4 Year
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