Milestones in Python 3.9 with exciting new features
What you'll learn
- In this course, you will get understanding of New Features in Python 3.9 programming as compared to Python 3.8 with demo in both environments.
Requirements
- Python 3.9 and 3.8 Installed, An understanding of data types, flow controls, OOP, decorators and generators in python.
Description
New Features in Python 3.9 In this course, you will have an understanding of some the exciting new features in Python 3.9
-Zone Information Module and what problem it solves.
-Annotations with its use.
-Python Merge and Update Dictionaries.
-Generics - creating float in Python list
-Remove Prefix and Suffix in Python
-Python Multiphase Initialization
You will definitely love this course because it is simple, easy and takes you levels ahead in python programming without even noticing :)
Who this course is for:
- Any one who is looking to get an idea of Python 3.9 features and how it is effective as compared to Python 3.8
Course content
- Preview01:16
- Preview11:09
- 11:11Annotations - Flexibility and meta data in python functions
- 07:32Merge and Update dictionaries in Python
- 05:33Float List in Python 3.9
- 06:38Remove Prefix and Remove Suffix Functions
- 06:07Multiphase initialization in Python 3.9
Instructor
![Kumail Raza](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 3.9 Instructor Rating
- 614 Reviews
- 68,519 Students
- 10 Courses
I am a BI Developer | Instructor | Facilitator graduate in Business Finance and Computer Science.
Certified in Statistics, Data Analytics, Machine Learning, and Visualization.
I have been supporting the data-driven decision, consulting, creating, implementing and automating Data Intelligence and Analytics Strategies while identifying KPIs in the process and how it affects the overall business strategy.
Blogger on Microsoft Power BI Community
Hands-on experience (Intermediate to advanced level) in using the following tools;
Business Intelligence | Analytics: Microsoft Azure Machine Learning Studio, Microsoft Power BI, Mode Analytics, Microsoft Excel / Google Spreadsheet, Python (Pandas, Openpyxl, matplotlib)
Database: SQL Server 2016 (ETL into Power BI), MYSQL
Project Management: Wrike, GetFlow, Jira.
Documentation: Confluence, Dropbox Paper, Dropbox. Adobe Acrobat PDF, Microsoft Word, and Microsoft Excel.
Diagram | Wireframe | Mockups: Balsamiq Mockups, Drawdotio, Microsoft Visio, Microsoft Excel, and Word Smart Art Graphic.
Analyzed CRM Applications: ZOHO CRM, Rethink Residential and Commercial (Built on Salesforce Platform), Podio, Plan plus, ConvergeEnterprise, dotloop, Microsoft Dynamics NAV.