![🐍 Python and Numbers: The Definitive Guide for Social Researchers [Part 2 of 2]](https://images.squarespace-cdn.com/content/v1/67338986b9d79a68ac92b01e/1733418861076-COFKITO47CV04EXGGF73/python+numbers+%281%29.png)
🐍 Python and Numbers: The Definitive Guide for Social Researchers [Part 2 of 2]
Master Python's numerical operations for social research with this comprehensive guide. Learn essential data analysis techniques including professional number formatting, efficient calculations, and clear result presentation. Perfect for social researchers working with surveys, demographic analysis, and program evaluation.
This practical tutorial covers advanced Python operations, comparison techniques, and professional documentation standards. Each concept is explained through real social research examples, from processing survey responses to analyzing community programs. Ideal for researchers transitioning from manual to automated data analysis.
Key topics include:
• Advanced mathematical operations in Python
• Data comparison and evaluation techniques
• Professional number formatting
• Research code documentation
Save hours of manual work and improve your research quality with Python's powerful numerical tools.
![🧵 First Steps with Strings in Python: [Part 1 of 3] Quotes, Special Characters, and Basic Operations](https://images.squarespace-cdn.com/content/v1/67338986b9d79a68ac92b01e/1732324658747-42YHIDSH832HU2CZL9AS/strings+checho+2.png)
🧵 First Steps with Strings in Python: [Part 1 of 3] Quotes, Special Characters, and Basic Operations
Master Python string manipulation with this comprehensive beginner's guide. Learn essential string operations including quotes usage, special characters, and basic text manipulation techniques.
Perfect for beginners and intermediate developers looking to automate text processing tasks. This hands-on tutorial includes practical examples and exercises to help you understand string formatting, concatenation, and common string operations in Python.
Part 1 of our 3-part series covers everything from basic string creation to professional document formatting, with clear examples and step-by-step solutions.
Learn Python from Scratch: Your Learning Roadmap 🗺️
Learn Python programming from scratch with this comprehensive guide designed for social sector professionals transitioning from Excel.
This practical roadmap shows you how to automate data analysis tasks that typically take months in Excel, reducing them to minutes with Python. Through an 11-phase learning journey, from basic Python installation to advanced testing practices, you'll master essential programming concepts with real-world examples from social programs and NGOs.
Perfect for Excel users and non-programmers working with large datasets (200,000+ records), this guide demonstrates how to validate data, generate automated reports, and transform your daily workflow using Python.
Based on real experience in social impact measurement, each phase includes practical applications specifically designed for social researchers and program analysts.