What you'll get
- 14+ Hours
- 2 Courses
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
Synopsis
- Introduces learners to the fundamentals of IPython and Jupyter Notebook, including their purpose, interface, and practical applications in areas such as cloud workflows, parallel processing, data visualization, and more.
- Offers one-year full access to all course materials for flexible and continuous learning.
- Open to anyone eager to build expertise in IPython/Jupyter Notebook and aiming to establish or advance a career in web development.
- Recommends basic familiarity with programming and web development to ensure smooth progression through the course content.
- Provides Certificates of Completion for both included courses, along with hands-on project work to strengthen practical skills.
- Grants verifiable digital certificates, each with a unique link suitable for adding to résumés or LinkedIn profiles.
- Delivered as a self-paced video training program, allowing learners to study at their own convenience.
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Jupyter-IPython Notebook Training - Beginners | 6h 05m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Jupyter-IPython Notebook Training - Advanced | 7h 5m | ✔ | View Curriculum |
Description
IPython and Jupyter together create a powerful development environment designed to streamline application building. IPython functions as an interactive shell that supports multiple programming languages, making coding more intuitive and user-friendly. Jupyter extends this capability by offering a versatile workspace ideal for executing complex computations, visualizing data through rich graphical outputs, and managing a wide range of development tasks.
This environment is widely adopted for building enterprise-level applications due to its ready-to-use features, which significantly reduce manual coding effort. Although the tools may appear sophisticated at first, they deliver exceptional efficiency, enabling developers to produce high-quality results more quickly. In fast-paced development models such as Agile, where rapid delivery is essential, IPython and Jupyter are invaluable assets, helping teams boost productivity and maintain consistent performance.
Sample Certificate
Requirements
- Learners should have a basic understanding of Python fundamentals, as the tool relies heavily on Python-based workflows.
- Prior hands-on experience with Python will make the learning process smoother, though beginners are encouraged to review Python essentials before starting the course.
- Participants should be open to exploring new tools and technologies, as effective use of Jupyter Notebook requires adaptability and a willingness to experiment with its various features.
- A flexible mindset is essential, as switching from familiar tools to new environments like IPython/Jupyter can initially feel challenging but ultimately enhances skill development.
Target Audience
- Professionals aiming to upgrade their technical skills or shift into Python-based development.
- Python users who want to integrate IPython and Jupyter Notebook into their workflow for better efficiency.
- Advanced students looking to strengthen project development and stand out academically.
- Trainers seeking to expand their teaching portfolio with in-demand tools like Jupyter Notebook.
