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Python Programming for Beginners and Advanced

Participants will develop a strong understanding of Object-Oriented Programming (OOP) principles.

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Certificate :

After Completion

Start Date :

10-Jan-2025

Duration :

30 Days

Course fee :

$150

COURSE DESCRIPTION:

  1. By the conclusion of this course, participants will acquire a solid grasp of Object-Oriented Programming (OOP) principles, including the ability to articulate the four foundational pillars: encapsulation, inheritance, polymorphism, and abstraction.

  2. They will be able to distinguish between procedural and object-oriented programming methodologies. Additionally, students will gain expertise in Object-Oriented Design, enabling them to create classes and objects with defined attributes and methods, as well as utilize UML diagrams for visual representation of their designs.

  3. Furthermore, they will develop proficiency in Java and C++, encompassing the skills to write, compile, and debug programs using Integrated Development Environments (IDEs) such as IntelliJ IDEA, Eclipse, or Visual Studio.

  4. Core OOP concepts will be implemented through the creation and utilization of constructors, destructors, and methods, alongside the establishment of inheritance hierarchies and comprehension of method overriding.

  5. Students will also learn to leverage abstract classes and interfaces for reusable code structures.

  6. Advanced OOP features will be addressed, including effective exception and error handling, the implementation of polymorphism through function overloading and overriding, and the use of operator overloading in C++ and lambda expressions in Java.

CERTIFICATION:

  1. Upon finishing the program, students will receive a Certificate of Completion in Python Programming.

  2. To be eligible for this certification, participants are required to complete all module assignments and projects, achieve a minimum score of 60% on weekly quizzes, midterm, and final exams, and submit a final capstone project that highlights their proficiency in Python programming.

  3. This certification will reflect a solid understanding of Python, equipping students for careers in software development, data analysis, artificial intelligence, and automation.

LEARNING OUTCOMES:

By the conclusion of the course, participants will possess the skills to:

  1. Beginners Level
    Gain a foundational understanding of Python, including the ability to write and execute scripts, comprehend syntax, variables, and data types. They will master control flow and functions by utilizing conditional statements, loops, and error handling, while also learning to write reusable code through functions and lambda expressions. Participants will effectively work with data structures such as lists, tuples, sets, and dictionaries, applying list comprehensions and advanced iteration techniques. Additionally, they will develop basic file handling skills, enabling them to read from and write to text files while managing exceptions during these operations.

  2. Advanced Level
    Students will implement object-oriented programming by designing classes and objects, and applying principles such as inheritance, polymorphism, and encapsulation. They will handle advanced file operations, working with formats like CSV, JSON, and XML, and implementing serialization and deserialization using Python’s pickle module. Proficiency in Python libraries will be developed, utilizing NumPy for numerical computations, Pandas for data manipulation and analysis, and generating visualizations with Matplotlib and Seaborn. Participants will explore regular expressions for pattern matching and text processing, automate repetitive tasks with Python scripts, and utilize the os and shutil modules for system operations. They will also understand web and database interactions by creating web scrapers with Beautiful Soup and requests, and interacting with SQL databases using Python’s SQLite library.

  3. Capstone Project
    Students will design and implement a comprehensive real-world application that integrates all the concepts learned throughout the course. Examples of such projects may include conducting data analysis on a large dataset with visualizations, developing a web scraper to collect and store data in a database, or automating a workflow through Python scripts.

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Course Curriculum

Introduction to Python
  1. Overview of Python: Features and applications
  2. Setting up the Python environment (IDLE, VS Code, PyCharm)
  3. Writing your first Python program
  4. Basic syntax, keywords, and indentation rules
Python Basics
  1. Variables and data types
  2. Input and output operations
  3. Operators: Arithmetic, comparison, logical, and bitwise
  4. Python strings: Slicing, concatenation, and formatting
Control Flow in Python
  1. Decision-making: if, elif, and else statements
  2. Looping constructs: for and while loops
  3. break, continue, and pass statements
  4. Using list comprehensions for concise loops
Python Data Structures
  1. Lists, tuples, and sets
  2. Dictionaries: Key-value pairs and operations
  3. Working with nested data structures
  4. Iterators and generators
Functions and Modules
  1. Defining and calling functions
  2. Function arguments: Positional, keyword, and default
  3. Importing and using modules
  4. Creating your own modules
File Handling
  1. Reading and writing files (text and binary)
  2. Using with statements for file management
  3. Handling file exceptions
  4. CSV file operations
Object-Oriented Programming (OOP)
  1. Classes and objects
  2. Inheritance, polymorphism, and encapsulation
  3. Magic methods and operator overloading
  4. Class methods and static methods
Error and Exception Handling
  1. Try, except, finally blocks
  2. Raising custom exceptions
  3. Logging errors using the logging module
  4. Debugging tools and techniques

Training Features

Hands-On Coding Exercises

Solve challenges and quizzes to reinforce key concepts.

Project-Based Learning

Build beginner and advanced projects like calculators, web apps, and data analysis pipelines.

Comprehensive Library Exposure

Work with popular Python libraries such as NumPy, Pandas, and Django.

Interactive Debugging Sessions

Learn how to debug Python applications effectively.

Certification Upon Completion

Receive a course completion certificate recognized in the industry.

Portfolio Development

Showcase your skills through real-world projects.

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