Course Outline
Introduction
Overview of Python Packages for Excel
- pandas
- openpyxl
- xlsxwriter
- xlrd
- xlwt
- xlutils
- pyexcel
Installing the Python Packages for Excel
Preparing Your Spreadsheet and Data
- Performing Quality Check
- Best Practices for Spreadsheet Data
Preparing Your Workspace
Importing Your Excel Files and Loading Your Data Using pandas
Writing Data, Formatting Information, and Modifying Charts in Excel
- Using openpyxl
- Using xlsxwriter
- Using xlwt
- Using pyexcel
Reading and Formatting Data from Older Excel Files
- Using openpyxl
- Using xlrd
- Using pyexcel
Implementing Final Check of Your Data
Calling Python Functions from Excel
Create User Defined Functions with Python and Excel
Troubleshooting
Summary and Conclusion
Requirements
- Python programming experience
- Basic experience or familiarity with Excel
Audience
- Developers
- Programmers
Testimonials (4)
Knowledge, expertise, interaction with others, willingness to help even with minor issues, ability to engage the audience.
Michal
Course - Python for Excel
Machine Translated
What I liked the most was that the training was tailored to our needs and level of knowledge, the trainer shared her experiences and solutions. Discussing common mistakes and what to pay attention to during error analysis will certainly be very useful. The training wasn't too formal or rigid; we could have a bit of fun, which made the atmosphere relaxed and open—there was no fear of asking questions. I would definitely recommend this training to others.
Wioletta Dankow
Course - Python for Excel
Machine Translated
Learning new things, the vast knowledge of the trainer. Contact and the ability to explain complex issues.
Aleksander
Course - Python for Excel
Machine Translated
Practical applications and tailoring the training to individual needs. Answering questions.
Mateusz
Course - Python for Excel
Machine Translated