Python and Jupyter Notebooks for beginners

Learn Python with Jupyter Notebook from scratch

4.25 (213 reviews)
Udemy
platform
English
language
Programming Languages
category
Python and Jupyter Notebooks for beginners
7,051
students
2.5 hours
content
Jun 2021
last update
$49.99
regular price

What you will learn

How to install Jupyter Notebook

How to run the Jupyter Notebook Server

Common Jupyter Commands

Jupyter Components

Notebook Dashboard

Explore Notebook Interface

Create Notebooks

Python Expressions

Python Statements

Python Variables

Python Data Types

Casting Data Types

Python Operators

Conditional Statements

Python Loops

Python Functions

Why take this course?

πŸŽ“ **Course Title:** Python and Jupyter Notebooks for Beginners πŸš€ **Course Headline:** **Unlock Your Potential with Python & Jupyter Notebook from Scratch!** πŸš€ --- πŸ” **Course Description:** Are you ready to embark on an exciting journey into the world of coding with **Python and Jupyter Notebooks for Beginners**? This comprehensive course is your stepping stone into the realm of programming, where you'll unlock the secrets of Pythonβ€”a language renowned for its simplicity and versatility. With Python, you can unleash your creativity and build everything from simple scripts to complex, data-driven applications. πŸ’‘ **Why Learn Python with Jupyter Notebook?** - **Versatility:** Dive into a wide array of programming areas such as game development, web application creation, or even desktop software design. - **Data Science Dominance:** Python is the go-to language for data scientists and analysts, enabling you to perform complex data analysis and visualization tasks. - **Interactive Learning:** Jupyter Notebook provides an interactive environment where you can write, execute, and share Python code easily. It's an excellent tool for experimentation and learning. πŸ“š **What You Will Learn:** - **The Fundamentals of Python:** Master the basics including data types, control structures, functions, classes, and exception handling. - **Navigating Jupyter Notebook:** Understand how to use this powerful tool to organize your code, visualize results with ease, and share your work with a community of learners and experts. - **Python Data Analysis Techniques:** Learn how to manipulate data and perform statistical analysis to uncover insights and make informed decisions. - **Practical Applications:** Apply your newfound knowledge by working on real-world projects that will solidify your understanding and build your portfolio. πŸ”‘ **Course Benefits:** - **Hands-On Learning:** Engage with the material through interactive coding exercises that will reinforce your learning experience. - **Real-World Examples:** Discover how Python is applied in various industries, including finance, healthcare, and technology, to solve complex problems. - **Supportive Community:** Join a vibrant community of learners who are eager to share knowledge and collaborate on projects. πŸŽ“ **By the End of This Course, You Will Be Able To:** - Write your first Python program with confidence. - Understand the power of Jupyter Notebook for data science tasks. - Create, execute, and manage your own code in a Jupyter environment. - Perform basic data manipulation and visualization using Python libraries. - Build a foundation to pursue advanced topics in Python and expand your coding horizons. πŸ“… **Enroll Now and Start Your Programming Adventure with Python and Jupyter Notebooks for Beginners!** 🎈 Whether you're aiming to transition into a career in tech or simply want to challenge your mind with a new skill, this course is the perfect entry point. Don't miss out on the opportunity to join the Python revolution and transform your approach to problem-solving. Sign up today and let's get started on this enlightening programming journey! 🐍✨

Our review

--- **Course Overview:** The course in question provides an introduction to Python programming with a focus on Jupyter Notebooks, which is a powerful tool for interactive computing. The course has been rated highly by recent reviewers, with an overall rating of 4.35 stars. The content and presentation are commended for their quality, but some users suggest that the pace could be faster for more experienced learners who prefer to skip through foundational material. **Pros:** - **Content Quality:** The course content is well-received, with clear and concise explanations that make Python concepts easy to understand for beginners. - **Practical Application:** The practical aspect of the course is highly appreciated, as learners get hands-on experience from early in the course, which allows them to apply what they learn immediately. - **Jupyter Notebook Instruction:** The course provides an easy-to-follow guide on setting up and accessing Jupyter, which is a valuable skill for any Python programmer. - **Flexibility in Learning:** Some users suggest dividing the more theoretical videos (5-8 & 10-12) into an "Overview Info" section to cater to different learning preferences, with some learners preferring practical exercises before delving into background theory. - **Teacher's Expertise:** The instructor is praised for their excellent job in teaching a niche but important programming interface. - **Ease of Learning:** The course structure and the way concepts are explained make the learning process easy to follow, with the content sticking in the learner's mind even after completion. - **Value as an Introduction:** Reviewers who were beginners found the course to be a great starting point for their Python learning journey, providing a solid foundation. **Cons:** - **Pacing for Advanced Users:** Some experienced learners felt that the pace of the presentation was too slow, especially for content they already understood, and suggested speeding up the videos (1.5x or 1.75x). - **Installation Guidance:** There were mixed reviews regarding the installation guide, with some users finding the instructions for installing Anaconda on a Mac unclear and requiring additional troubleshooting. - **Depth of Content:** A few reviewers expressed that while the course covered basic content, it was not deeply explanatory and seemed too "fluffy" for those with prior tech skills. - **Best Practices Clarification:** One user pointed out an instance where the instructor's explanation of using a multi-line string to show comments could be misleading, as it creates a string object rather than a comment. **General Feedback:** - The course is highly recommended for beginners and those new to Jupyter Notebooks, offering an excellent introduction to Python. - Some users who are more advanced in their knowledge of coding or Jupyter expressed that they would have preferred a course with more in-depth examples and explanations. - The overall sentiment is that the course is of great value, especially considering its potential as a starting point for those venturing into Python programming. **Conclusion:** This course appears to be an excellent resource for beginners looking to learn Python through Jupyter Notebooks. With its practical approach and clear explanations, it provides a strong foundation in Python. While some aspects could be improved, such as the pacing for more advanced users and the clarity of certain installation instructions, the course's overall effectiveness and positive reviews suggest it is a valuable educational tool for those starting their programming journey with Python.

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2718798
udemy ID
12/23/2019
course created date
12/24/2019
course indexed date
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