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Introduction to Python
YOUR PATHWAY TO SUCCESS
This intensive 5-day course provides a comprehensive and engaging introduction to the Python programming language, a powerhouse in data science, web development, automation, and more.
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Course Duration
5 Days
Enroll By
Every Week
Course Type
Online/ London
Course Details
This intensive 5-day course provides a comprehensive and engaging introduction to the Python programming language, a powerhouse in data science, web development, automation, and more. You’ll move beyond the basics and dive into practical coding right from day one. We’ll start with fundamental concepts like data types, variables, and operators, then quickly progress to mastering control flow, building your own functions, and understanding the elegance of object-oriented programming. You’ll learn how to write clean, efficient, and well-documented Python code, a skill highly valued in the industry. This isn’t just theory; you’ll be coding along with the instructor, tackling real-world problems, and building a portfolio of Python scripts you can be proud of.
This course goes beyond simple syntax. You’ll learn how to leverage Python’s rich ecosystem of libraries for tasks like data manipulation (using Pandas), numerical computation (using NumPy), and even basic data visualization. We’ll explore best practices for debugging your code, ensuring its reliability. By the end of this week, you won’t just know about Python; you’ll be able to use it. You’ll be ready to tackle more advanced Python topics and apply your skills to real-world projects, whether it’s automating tasks, analyzing data, or building simple web applications.
By the end of this course, learners will be able to:
- Confidently write Python code using fundamental programming constructs.
- Manipulate and process data using Python’s built-in data structures.
- Develop modular and reusable code using functions and modules.
- Apply object-oriented programming principles to design and implement Python programs.
- Effectively debug and troubleshoot Python code.
- Utilize popular Python libraries for data analysis and manipulation.
- Aspiring data scientists, analysts, and programmers.
- Individuals seeking to automate tasks and improve their workflow.
- Students and professionals looking to add Python to their skill set.
- Anyone curious about the power and versatility of Python.
Course Outline
5 days Course
- Python Fundamentals and Environment Setup:
- Introduction to Python: History, features, and use cases (data science, web development, scripting).
- Setting up your development environment: Installing Python, choosing an IDE (VS Code, PyCharm), and configuring your workspace.
- Python basics: Variables, data types (integers, floats, strings, booleans), operators (arithmetic, comparison, logical).
- Writing your first Python program: “Hello, World!” and other basic scripts.
- Hands-on exercises: Working with variables, operators, and basic input/output.
- Conditional statements: if, elif, else blocks and nested conditions.
- Looping constructs: for and while loops, loop control statements (break, continue, pass).
- Data structures: Lists, tuples, dictionaries, and sets – when to use each.
- List and dictionary comprehensions: Writing concise and efficient code.
- Hands-on exercises: Building programs with control flow and data structures.
- Functions and Modules:
- Defining and calling functions: Arguments, parameters, and return values.
- Scope and lifetime of variables: Local vs. global variables.
- Modular programming: Creating and importing modules.
- Introduction to Python’s standard library: Exploring useful modules.
- Hands-on exercises: Developing reusable functions and modules.
- Functions and Modules:
- Object-Oriented Programming (OOP) in Python:
- Introduction to OOP: Classes, objects, attributes, and methods.
- Encapsulation, inheritance, and polymorphism: Key OOP principles.
- Designing and implementing classes: Real-world examples.
- Hands-on exercises: Building programs using OOP concepts.
- Object-Oriented Programming (OOP) in Python:
- Working with Data and Files:
- File input/output: Reading and writing data to files (text and CSV).
- Introduction to the Pandas library: Data manipulation and analysis.
- Basic data visualization: Creating charts and graphs.
- Hands-on exercises: Working with real-world datasets and creating visualizations.
- Working with Data and Files:
