uLektz Skills

Learning Path

Non-Linear: Random Order

About the Course

Course Objectives

A Python course aims to:

Equip students with the ability to write efficient and effective Python code.
Introduce fundamental programming concepts and problem-solving techniques.
Develop an understanding of Python's standard libraries and frameworks.
Provide hands-on experience through projects and practical applications.

Learning Objectives

By the end of the course, students will be able to:

Understand Python syntax and semantics.
Write and debug Python programs.
Utilize Python for data manipulation and analysis.
Implement object-oriented programming concepts in Python.
Use Python libraries for web development, data science, and automation.

Skills Development

The course enhances various skills, including:

Programming Proficiency: Writing clean and efficient code.
Problem-Solving: Developing logical thinking and troubleshooting abilities.
Data Handling: Manipulating and analyzing data using Python libraries.
Web Development: Building web applications with frameworks like Django and Flask.
Automation: Automating tasks and workflows with Python.
Machine Learning: Using Python libraries like TensorFlow and Scikit-learn for AI and machine learning projects.

Career Path

Knowledge of Python opens up numerous career opportunities, such as:

Software Developer: Building applications and software solutions.
Data Scientist: Analyzing and interpreting complex data sets.
Machine Learning Engineer: Developing and deploying machine learning models.
Web Developer: Creating dynamic and interactive websites.
Automation Engineer: Designing and implementing automated solutions.
DevOps Engineer: Managing and automating infrastructure using Python scripts.

Course Study Materials

Introduction to Python and Setup

Overview of Python and its applications
Installing Python and setting up the development
Using Python interactive shell and IDEs
For Reference: Basics of Python Duration:
For Reference: Installing Python Duration:
For Reference: Real applications of Python Duration:
Unit 1 Test 5 Questions

Python Basics

Variables and data types
Basic operators and expressions
Input and output operations
Comments and code formatting
For Reference: variables and data types Duration:
For Reference: Arithmetric Operators Duration:
For reference: Comments in Python Duration:
Unit 2 Test 5 Questions

Control Structures

Conditional statements
Loops
Break, continue, and pass statements
List comprehension
For reference: The if-elif-else Statement in Python Duration:
For Reference: Break, continue, and pass statements in Python Duration:
For Reference: List Comprehension in Python Duration:
Unit 3 Test 5 Questions

Functions and Modules

Defining and calling functions
Function arguments and return values
Lambda functions
Creating and importing modules
For Reference: defining and calling functions Duration:
For Reference: Functions and arguments in Python Duration:
For Reference: Lambda Functions in Python Duration:
Unit 4 Test 5 Questions

Data Structures

Lists and list operations
Tuples and sets
Dictionaries and their methods
Strings and string manipulation
For Reference: Python string manipulation Duration:
For Reference: Tuples and sets in Python Duration:
For Reference: Lists in Python Duration:
Unit 5 5 Questions

File Handling and Exception

Reading from and writing to files
Working with CSV and JSON files
Try-except blocks for error handling
Raising and handling exceptions
For Reference: Reading and Writing Files Duration:
For Reference: CSV and JSON files in python Duration:
For Reference: Raising and Handling Duration:
Unit 6 5 Questions

Object-Oriented

Classes and objects
Inheritance and polymorphism
Encapsulation and abstraction
Magic methods and operator overloading
For Reference: Inheritance and Python Duration:
For Reference: Encapsulation Duration:
For Reference: Magic Methods and Operator Overloading Duration:
Unit7 5 Questions

Working With Python

Introduction to pip and package management
Overview of standard library modules
Working with date and time
Regular expressions with re module
For Reference: Pip - An in-depth look at the package Duration:
For Reference: Working with Date and time in Python Duration:
For Reference: Regular expressions with re module Duration:
Unit 8 test 5 Questions

Python for Data

Introduction to NumPy for numerical computing
Pandas for data analysis
Basic data visualization with Matplotlib
For Reference: Numpy Methods in Python Duration:
For Reference: Data Analytics with Python Duration:
For Reference: Basic Data Visualization Duration:
Unit 9 test 5 Questions

Python for Web Development Basics

Introduction to web frameworks
Creating a simple web application
Handling HTTP requests and responses
For Reference: Python Web Programming Duration:
For Reference: Python Data Inserting Duration:
For Reference: Python Web Limit Update Duration:
Unit 10 Test 5 Questions

Python for Automation and Scripting

Writing scripts for system administration tasks
Automating file operations
Web scraping basics with Beautiful Soup
For Reference: Python Scripting for Automation Duration:
For Reference: File and Folder Operations automation Duration:
For Reference: Web Scraping Using BeautifulSoup Duration:
Unit 11 5 Questions

Best Practices and Code Optimization

PEP 8 style guide
Code organization and documentation
Performance optimization techniques
Debugging tools and techniques
For Reference: The Prettiest Way to View the PEP 8 Duration:
For Reference: Python performance with multiprocessing Duration:
For Reference: Debugging and Testing Techniques in Python using PDB Duration:
Unit 12 5 Questions

Version Control With Git

Basic Git commands
Creating and managing repositories
Collaborating with others using Git
For Reference: Git Pycharm Duration:
For Reference: How Git works Duration:
Unit 13 5 Questions

Introduction to Testing in Python

Unit testing with unittest framework
Writing and running test case
Test-driven development concepts
For Reference: Unit Testing Your Code Duration:
Unit 14 5 Questions

Final Assessment

Final Assessment 15 Questions

The certificate issued for the Course will have

Student's Name
Photograph
Course Title
Certificate Number
Date of Course Completion
Name(s) and Logo(s) of the Certifying Bodies

Only the e-certificate will be made available. No Hard copies. The certificates issued by Odisha State Open University, Sambalpur. can be e-verifiable at www.ulektzskills.com/verify.

Students will be assessed both at the end of each module and at the end of the Course.
Students scoring a minimum of 50% in the assessments are considered for Certifications