Learn Python Fundamentals using Jupyter Notebook


Learn Python Fundamentals using Jupyter Notebook, Master Python Basics with Hands-On Practice in Jupyter Notebook.

Course Description

Welcome to “Learn Python with Jupyter Notebook,” a  course designed to introduce you to the powerful world of Python programming and the interactive capabilities of Jupyter Notebooks. Whether you are a complete beginner or someone looking to refresh your skills, this course will guide you step-by-step through the essentials of Python, using one of the most user-friendly and versatile tools available for coding and data analysis.

Why Python and Jupyter Notebook?

Python is a versatile, high-level programming language known for its readability and efficiency. It is widely used in various fields such as web development, data science, artificial intelligence, and automation. Jupyter Notebook, on the other hand, is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. Together, Python and Jupyter Notebook form a powerful combination that enhances learning and productivity, making it easier for you to visualize your work and iterate quickly.

Course Outline

  1. Introduction to Python and Jupyter Notebook
    • What is Python?
    • Overview of Jupyter Notebook
    • Setting up Python and Jupyter
    • Python Installation on Windows and macOS
    • Creating and managing virtual environments
    • Installing and starting Jupyter Notebook
    • Exploring the Jupyter Notebook server dashboard
  2. Python Basics
    • Python Expressions and Statements
    • Data Types and Type Casting
    • Variables and Operators
    • Conditional Statements
    • Loops (for and while)
    • Functions
  3. Data Structures in Python
    • Lists
    • Dictionaries

Learning Objectives

By the end of this course, you will be able to:

  1. Set up Python and Jupyter Notebook on your computer.
  2. Understand and write basic Python code.
  3. Use Jupyter Notebook for coding and data visualization.
  4. Work with Python’s core data types and data structures.
  5. Implement conditional statements, loops, and functions.

Who Should Enroll?

This course is ideal for:

  • Beginners: Those with no prior programming experience who want to start learning Python.
  • Students: High school or college students who need Python for their coursework or future career plans.
  • Professionals: Individuals from non-technical backgrounds aiming to gain programming skills for career advancement.
  • Hobbyists: Anyone interested in exploring programming as a new hobby.
  • Career Switchers: People looking to transition into tech roles needing a solid foundation in Python.
  • Data Enthusiasts: Aspiring data analysts or scientists wanting to use Python for data manipulation and analysis.

No Prerequisites Required

This course is designed to be accessible to everyone. There are no strict prerequisites, and you do not need any prior programming experience to get started. However, basic computer literacy, such as familiarity with installing software and navigating directories, will be helpful. You will need access to a computer with internet connectivity to install and configure the required software.

Enroll now and take the first step towards mastering Python and harnessing the power of Jupyter Notebook!

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