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Class notes Cs50

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These notes provide an overview of Lecture 6 from CS50x 2024, introducing Python as a higher-level programming language. They cover essential concepts such as Python’s simplified syntax compared to C, object-oriented programming, loops, conditionals, and exceptions. The notes also include practical examples like image processing, face detection, and working with data structures like lists and dictionaries. Additionally, the lecture highlights Python’s use of libraries and command-line arguments, illustrating the language’s versatility and ease of use for both beginners and experienced programmers.

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Institution
Harvard College
Course
Cs50








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Uploaded on
September 18, 2024
File latest updated on
September 18, 2024
Number of pages
4
Written in
2024/2025
Type
Class notes
Professor(s)
David mallan
Contains
Week 6

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Python and Key Programming Concepts**

---
Python, a higher-level language designed for simplicity and efficiency. Python
builds on concepts learned in C but offers an easier syntax and automatic memory
management, making it ideal for quickly writing functional programs.

---

### Key Topics:

- **Python Introduction**:
- Unlike C, Python is interpreted, meaning you don’t need to compile your code
separately. Programs are executed directly in the Python interpreter.

- **Simplified Syntax**:
- Example: In C, you write:
```c
#include <stdio.h>
int main(void) {
printf("hello, world\n");
}
```
- In Python:
```python
print("hello, world")
```

- **Functions in Python**:
- Python makes functions easier to write and manage. For example:
```python
def check(word):
"""Returns True if word is in dictionary"""
return word.lower() in words
```

- **Working with Files**:
- Python simplifies file handling and memory management. For instance, to load a
dictionary:
```python
def load(dictionary):
with open(dictionary) as file:
words.update(file.read().splitlines())
return True
```

---

### Practical Examples:

- **Blurring an Image**:
- Using the PIL (Pillow) library, blurring an image is as simple as:
```python
from PIL import Image, ImageFilter
before = Image.open("bridge.bmp")
after = before.filter(ImageFilter.BoxBlur(1))
after.save("out.bmp")
```
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