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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
14 Hours
Testimonials (5)
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
Ian - Archeoworks Inc.
Course - ArcGIS Fundamentals
All the topics which he covered including examples. And also explained how they are helpful in our daily job.
madduri madduri - Boskalis Singapore Pte Ltd
Course - QGIS for Geographic Information System
Saya menyukai gaya Pablo, fakta bahwa ia mencakup banyak subjek mulai dari desain laporan, penyesuaian dengan html hingga penerapan algoritma ML sederhana. Go informasi / latihan teoretis yang seimbang. Pablo benar-benar membahas semua topik yang saya minati dan memberikan jawaban komprehensif atas pertanyaan saya.
Cristian Tudose - SC Automobile Dacia SA
Course - Advanced Data Analysis with TIBCO Spotfire
Machine Translated
Actual application of spotfire and all basic functions.
Michael Capili - STMicroelectronics, Inc.
Course - Introduction to Spotfire
The thing I liked the most about the training was the organization and the location
