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Python Basics with Jupyter Notebook (2025 Edition)
Rating: 4.6 out of 5(7 ratings)
1,004 students

Python Basics with Jupyter Notebook (2025 Edition)

Course covers Python Expressions, Statements, Variables, Data Types, Operators, Conditional Statements, and Functions.
Created byGashaw Taye
Last updated 6/2025
English
English [Auto],

What you'll learn

  • The instructor serves as a guide and mentor for beginners learning to use Jupyter Notebook with Python.
  • This budget ensures a well-structured tutorial with effective resource management.
  • The Jupyter Notebook tutorial encounters several risks. Technical issues, such as software bugs and connectivity problems, can disrupt the learning experience.
  • The Jupyter Notebook with Python tutorial is designed to teach Python programming through an engaging and practical approach.

Course content

4 sections • 5 lectures • 1h 21m total length

  • Python Expressions10:09

    Compare high level and low level languages and explain compilers and interpreters. Introduce Python expressions in a Jupyter Notebook, covering arithmetic operations and string literals.

Requirements

  • To successfully participate in the Jupyter Notebook with Python tutorial, participants should meet certain requirements and prerequisites. A basic understanding of programming concepts is beneficial, although beginners are welcome. Participants should have Python installed on their computers, along with Jupyter Notebook, which can be easily set up via Anaconda or pip. Familiarity with data analysis concepts is helpful but not mandatory. Additionally, a reliable internet connection is essential for accessing online resources and collaborating during the course. Overall, a willingness to learn and engage with hands-on coding exercises will greatly enhance the tutorial experience.

Description

Are you interested in learning Python but don’t know where to start? This course is the perfect introduction for anyone who wants to build a strong foundation in Python programming. Designed with beginners in mind, this course covers all the essential concepts you need to begin your coding journey with confidence.

What you’ll learn:

  • The difference between expressions and statements, and how to use them

  • How to create and manage variables using best practices

  • Python’s main data types: integers, floats, strings, lists, tuples, sets, and dictionaries

  • Type casting for flexible data handling

  • Using operators for calculations, comparisons, and logic

  • Writing conditional statements (if-else) to control your code’s flow

  • Looping with for and while to automate tasks

  • Creating reusable functions for organized code

Course highlights:

  • Clear explanations: Each concept is broken down with step-by-step examples.

  • Hands-on practice: Apply what you learn right away with practical exercises.

  • Build confidence: Start with the basics and progress at your own pace.

Value for you:

  • Gain a strong foundation for advanced Python topics and real-world projects

  • Develop essential coding skills in a supportive, beginner-friendly environment

By the end, you’ll be ready to write your own Python programs and continue your learning journey.

Enroll now and unlock the power of Python!

Who this course is for:

  • This tutorial is designed for beginner developers who want to learn Python programming using Jupyter Notebook. It provides a hands-on approach to coding and data analysis, making it accessible and engaging for those new to programming.

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