What We Are Learn On This Post
What you’ll learn: Generator A milestone for any serious python program
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In this course, you will understand the Generator in Python, including definition, examples, illustrations, use cases.
Requirements
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Python Installed, Jupyter Notebook, an understanding of data types, flow controls, and OOP in python
Python Generator | Yield Statement
In this course, you will get an experience of Generator in Python, including definition, examples, illustrations, use cases, and exercise with the solution. The solution is created with discussion to enhance concept building. By the end of this course, you will get a clear understanding of;
- Generator
- Yield Statement
- Syntax
- Use cases
- Simple to complex examples.
- Exercise with a solution
At the end of the course, you can access the Jupiter notebook code file.
- Anyone who is a beginner in Python Programming Language.
- Looking to build understanding from scratch of generators and yield in python with importance, definition, illustrations, and use cases
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 supported 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.
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