PYTHON PROGRAMMING

Course Overview

The Python Programming course at Careerpoint is designed to provide you with a solid foundation in Python, one of the most versatile and popular programming languages today. Whether you are a beginner or an experienced programmer looking to master Python, this course offers a comprehensive curriculum that covers everything from the basics to advanced topics, preparing you for a wide range of applications in data science, web development, automation, and more.

Course Curriculum

1. Introduction to Python

   • Overview of Python and its applications.
   • Setting up the Python development environment.
   • Writing your first Python program.
   • Understanding Python syntax and code structure.

2. Data Types and Variables

   • Exploring Python data types: integers, floats, strings, and booleans.
   • Working with variables and constants.
   • Understanding dynamic typing and type conversion.
   • Basic operations with numbers and strings.

3. Control Flow

   • Writing conditional statements (if, elif, else).
   • Using loops: for and while.
   • Understanding and using break, continue, and pass statements.
   • Implementing error handling with try, except, and finally.

4. Functions and Modules

   • Defining and calling functions in Python.
   • Working with parameters, arguments, and return values.
   • Understanding scope and lifetime of variables.
   • Using built-in Python functions and importing modules.
   • Creating and using your own modules.

5. Data Structures

   • Working with lists, tuples, and sets.
   • Understanding and manipulating dictionaries.
   • Implementing list comprehensions and generator expressions.
   • Sorting and searching data structures.
   • Introduction to collections module and its specialized data types.

6. File Handling

   • Reading and writing files in Python.
   • Working with different file formats (text, CSV, JSON).
   • Handling file exceptions and ensuring data integrity.
   • Implementing context managers for file operations.

7. Object-Oriented Programming (OOP)

   • Understanding the principles of OOP: classes and objects.
   • Defining classes, attributes, and methods.
   • Working with inheritance, polymorphism, and encapsulation.
   • Creating and using class methods, static methods, and properties.
   • Implementing special methods and operator overloading.

8. Working with Libraries and Frameworks

   • Introduction to Python libraries: NumPy, Pandas, Matplotlib.
   • Working with web frameworks like Flask or Django.
   • Understanding the use of virtual environments.
   • Installing and managing packages with pip.

9. Database Integration

   • Connecting Python applications to databases.
   • Working with SQLite and SQL databases.
   • Performing CRUD operations (Create, Read, Update, Delete).
   • Using ORMs (Object-Relational Mappers) like SQLAlchemy.
   • Ensuring data security and handling transactions.

10. Web Scraping and Automation

    • Introduction to web scraping with BeautifulSoup and Scrapy.
    • Automating tasks with Python scripts.
    • Working with APIs and parsing JSON data.
    • Implementing scheduling and automation with cron jobs or schedulers.

11. Data Analysis and Visualization

    • Introduction to data analysis with Pandas.
    • Working with large datasets and performing data cleaning.
    • Creating data visualizations with Matplotlib and Seaborn.
    • Implementing basic statistical analysis and data manipulation.
    • Introduction to machine learning concepts with Python.

12. Capstone Project

    • A hands-on project where you’ll apply Python to solve a real-world problem.
    • Develop a complete application, automation script, or data analysis tool.
    • Receive feedback from peers and instructors to refine your project.

Why Choose Careerpoint for Python Programming?

• Expert Instructors: Learn from professionals with deep knowledge and experience in Python programming.
• Hands-On Learning: Engage in practical projects that prepare you for real-world applications.
• Comprehensive Coverage: From basic syntax to advanced libraries, our course covers all aspects of Python.
• Flexible Learning Options: Choose between on-campus and online classes to suit your schedule.
• Career Support: Access our career services for help with job placements, resume building, and interview preparation.

Who Should Enroll?

• Aspiring Programmers: Individuals looking to start a career in programming.
• Data Analysts and Scientists: Professionals who want to leverage Python for data analysis and machine learning.
• Web Developers: Developers looking to enhance their skills with Python for backend development.
• Automation Engineers: Those interested in automating tasks and processes using Python scripts.

Course Duration

• Full-Time Track: 10 weeks of intensive training.
• Part-Time Track: 20 weeks for those needing a more flexible schedule.

How to Enroll

Ready to master Python and elevate your career? Enroll Now to secure your spot in our upcoming course. Limited seats available to ensure personalized attention.