DATA STRUCTURES AND ALGORITHMS > MISSION 1 > MEMORY AND UNICODE

Memory and Unicode

In the first module of our data structures and algorithms course, you will learn about memory and Unicode. In the first half of this module, you will learn how computers store values in memory and in the second half, you will learn about Unicode. Toward the end of this module, you'll use what you learned to analyze excerpts from CIA reports and find the most common terms for each year.

You will learn concepts such as binary values, how computers store files, ASCII characters, and much more. You will learn how to arithmetic using binary numbers such as addition and subtraction. You'll also become familiar with another numbering system known as hexadecimal (or base 16). You'll find out how you can use Python to convert numbers from hexadecimal to binary and vice versa.  

As you work through each concept, you’ll get to apply what you’ve learned from within your browser — there's no need to use your own machine to do the exercises. The Python environment inside of this course includes answer checking so you can ensure that you've fully mastered each concept before learning the next.

Objectives

  • Learn how computers store values and memory.
  • Learn about binary and hexadecimal systems.
  • How strings are represented in Unicode.

Mission Outline

1. Introduction
2. The Basics of Binary
3. Binary Addition
4. Converting Binary Values to Other Bases
5. Converting Characters to Binary
6. Introduction to Unicode
7. Strings with Unicode
8. The Bytes Data Type
9. Introduction to HexaDecimal
10. Hexadecimal Conversions
11. Hex to Binary
12. Bytes and Strings
13. Decode Bytes to Strings
14. Read in File Data
15. Convert to a dataframe
16. Clean up Sentences
17. Tokenize Statements
18. Filter the Tokens
19. Count the Tokens
20. Most Common Tokens
21. Finding the Most Common Tokens by Year
22. Takeaways

data-structures-algorithms

Course Info:

Intermediate

The median completion time for this course is 6.16 hours. ​View Details​​​

This course requires a premium subscription. This course includes five missions, and one guided project. It is the 26th course in the Data Scientist in Python path.

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