python programming

This 48-hour immersive course takes you from the fundamentals of Python to advanced programming concepts. Through interactive lessons, hands-on exercises, and real-world projects, you’ll gain the skills needed to write efficient, scalable, and professional Python applications.

Module 1: Introduction to Python and Development Environment

• Understanding Python’s popularity and use cases
• Setting up Python (Installation, IDEs, and Virtual Environments)
• Writing and executing Python scripts
• Introduction to Jupyter Notebook and VS Code
• Working with Python packages and modules

Module 2: Python Fundamentals

• Python syntax, variables, and data types
• Operators (Arithmetic, Comparison, Logical, Assignment)
• Conditional statements (if, else, elif)
• Loops (for, while) and iteration techniques
• Best practices for writing clean, readable code

Module 3: Data Structures and Algorithms with Python 

• Lists, Tuples, and Dictionaries – when and how to use them
• Sets and Frozen Sets for optimized lookups
• String manipulation and formatting techniques
• Working with nested data structures
• Implementing common algorithms (Sorting, Searching)

Module 4: Functions and Object-Oriented Programming (OOP)

• Defining and calling functions
• Arguments, return values, and lambda functions
• Understanding Python’s scope and variable lifetime
• Introduction to Object-Oriented Programming (OOP)
• Classes, Objects, Inheritance, and Polymorphism
• Working with special methods (__init__, __str__)

Module 5: File Handling and Working with Data

• Reading and writing text and CSV files
• Handling JSON and XML data formats
• Managing files and directories using os and shutil
• Introduction to error handling with try-except-finally
• Logging and debugging techniques

Module 6: Working with Databases and APIs 

• Introduction to SQL and databases
• Connecting Python with MySQL and SQLite
• Executing CRUD operations (Create, Read, Update, Delete)
• Using APIs to fetch and send data
• Making HTTP requests with requests module
• Parsing and working with RESTful APIs

Module 7: Python for Data Analysis & Visualization

• Introduction to NumPy and Pandas for data manipulation
• Data wrangling and transformation techniques
• Creating visualizations using Matplotlib and Seaborn
• Working with time-series data
• Building simple analytical reports with Python

Module 8: Automation, Web Scraping, and Real-World Applications

• Automating tasks with Python scripts
• Web scraping using BeautifulSoup and Selenium
• Sending automated emails with Python
• Scheduling tasks with cron and schedule module
• Hands-on project: Automating data extraction and reporting

Module 9: Introduction to Python for Web Development 

• Overview of Flask and Django frameworks
• Creating a simple web application with Flask
• Understanding front-end and back-end integration
• Handling user input and form validation
• Deploying a Python web application

Module 10: Final Capstone Project & Certification 

• Applying all concepts in a real-world project
• Debugging and optimizing code for efficiency
• Code reviews and best practices
• Presenting your project and receiving feedback
• Certification of completion

By the end of this 48-hour Python Programming Course, participants will be able to:

• Master Python Fundamentals – Understand Python syntax, data types, control structures, and best practices for writing efficient code.
• Develop Problem-Solving Skills – Apply programming logic and algorithms to solve real-world challenges using Python.
• Work with Data Structures – Utilize lists, dictionaries, sets, and tuples for effective data management and manipulation.
• Implement Object-Oriented Programming (OOP) – Design and develop modular, reusable, and scalable applications using classes and objects.
• Handle Files and Databases – Read and write files, process structured data (JSON, CSV), and interact with SQL databases using Python.
• Interact with APIs and Web Services – Make HTTP requests, fetch data from APIs, and integrate external services into Python applications.
• Analyze and Visualize Data – Use Python libraries like NumPy, Pandas, Matplotlib, and Seaborn for data manipulation and visualization.
• Automate Tasks and Web Scraping – Write scripts to automate repetitive tasks and extract information from websites.
• Build Web Applications – Gain a basic understanding of Flask and Django to develop simple web applications.
• Work on Real-World Projects – Apply acquired skills in a final capstone project that simulates industry use cases.

This 48-hour Python Programming Course is designed for:

• Beginners in Programming – Individuals with little or no prior coding experience who want to start their journey in programming with Python.
• Aspiring Software Developers – Those looking to build a career in software development and gain hands-on coding experience.
• Data Analysts & Scientists – Professionals seeking to enhance their data analysis, visualization, and automation skills using Python.
• IT & Networking Professionals – Individuals looking to automate tasks, manage servers, or integrate Python into IT workflows.
• Business & Finance Professionals – Those interested in using Python for financial modeling, business intelligence, or process automation.
• Engineering & Scientific Researchers – Researchers and engineers who need Python for simulations, calculations, or data-driven applications.
• Web Developers & Automation Enthusiasts – Learners interested in building web applications, APIs, and automating repetitive tasks.

This course is ideal for students, working professionals, and career switchers looking to develop in-demand programming skills and apply Python in various domains.