What you’ll learn
- How to use Excel files with Python
- Read/Write Excel files with code
- Create charts from code
Description
Excel a widely available program belonging to the Microsoft Office software suite, used for creating and plotting spreadsheets. The format used by Excel is xls or xlsx. As office suite you can use Excel, LibreOffice, Google Sheets or any of the other office programs. The focus of this course is on Python with Excel, not on the office suite. This works on any platform including Apple Mac OS X, Microsoft Windows and Linux.
In this course you will learn how to use Python for reading and writing Excel 2010 xlsx/xlsm/xltx/xltm files. It allows to read and write the whole essense of Excel files without limitation. Reading Excel files (both .xlsx and the legacy .xls format); writing Excel files in both legacy .xls format or the new .xlsx format; reading cell values;
After completing this course you can create Excel files from code, read Excel files with Python, add images to your Excel file from code, create all kinds of charts and more.
This is an intermediate level course that teaches you how to work with Excel in Python (openpyxl). You should already know the basics of the Python programming language before starting this course.
You should use the latest Python version, version Python 3.9.5 is used in the course.
Who this course is for:
- Beginners Python developers curious about data science
How to Get this course FREE?
Get a 100% Discount On Udemy Paid Courses by clicking on the Apply Here Button. This Course coupon code is automatically added to the Apply Here Button.
Apply this Coupon: CAKEDAY (For 100% Discount)
For Latest Udemy Courses Coupon, Join Our Official Free Telegram Group : https://t.me/coursejoiner
Note: The udemy Courses Will be free for a Maximum of 1000 Learners can use the promo code AND Get this course 100% Free. After that, you will get this course at a discounted price. (Still, It’s a good deal for you to get this course at a discounted price).
External links may contain affiliate links, meaning we get a commission if you decide to make a purchase. Read our disclosure.