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  4. Strings

Strings

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Note

In addition to the following readings there is also a section in the book that covers common Python string methods. You can find that section by clicking on the following link:

Python String Methods

  • Strings as Collections
  • Bracket Notation
Feb 20, 2024
LaunchCode

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    • 1. About LaunchCode Courses
      • 2. Our Approach to Learning Data Analysis
        • 3. Introduction to Data
          • 4. Introduction to Excel and Spreadsheets
            • 7. SQL Part 1: Introduction and Azure Data Studio
              • 8. SQL Part 2: String and Date Functions
                • 9. SQL Part 3: Joins
                  • 10. SQL Part 4: Subqueries, CTEs, UNION, INTERSECT, EXCEPT
                    • 11. SQL Part 5: Schemas and CRUD Operations
                      • 12. How Programs Work
                        • 13. How to Write and Run Code
                          • 14. Data and Variables
                            • 15. Making Decisions with Conditionals
                              • 16. Loops
                                • 17. Collections
                                  • Reading
                                    • 1. Strings
                                      • Strings as Collections
                                      • Bracket Notation
                                    • 2. Lists
                                      • 3. Dictionaries
                                        • 4. Tuples
                                      • Exercises: Collections
                                      • Studio: Strings and Lists
                                      • Next Steps
                                    • 18. Functions are at Your Beck and Call
                                      • 19. Exploratory Data Analysis with pandas
                                        • 20. Cleaning Data with Pandas
                                          • 21. Data Manipulation
                                            • 22. Data Visualization with Python
                                              • 23. Databases with Python and pandas
                                                • 24. Tableau Part 1: Intro to Visualization
                                                  • 25. Tableau Part 2: Data Preparation
                                                    • 26. Tableau Part 3: Calculations, Parameters and Relationships
                                                      • 27. Tableau Part 4: Stories and Dates
                                                        • GA: Graded Assignments
                                                          • INSTL. Installations
                                                            • Appx. Appendices

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