https://github.com/anaisateodoro/python-for-beginners

Python exercises from the Python-3 course in a video on YT
https://github.com/anaisateodoro/python-for-beginners

cursoemvideo-python gustavo-guanabara python-beginners

Last synced: 8 months ago
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Python exercises from the Python-3 course in a video on YT

• Host: GitHub
• URL: https://github.com/anaisateodoro/python-for-beginners
• Owner: anaisateodoro
• Created: 2024-01-06T04:18:19.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-01-10T03:12:04.000Z (over 1 year ago)
• Last Synced: 2025-01-05T22:27:45.397Z (9 months ago)
• Topics: cursoemvideo-python, gustavo-guanabara, python-beginners
• Language: Python
• Homepage:
• Size: 9.77 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md

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README

          
# Python Exercises from Python-3 Course in Video on YT

This repository contains a list of exercises I am practicing as part of the Python-3 course on YouTube by Gustavo Guanabara. These exercises are designed to help solidify my understanding of Python concepts and syntax.

1. Variables and Data Types

   - Assign values to variables and print them

   - Declare variables with different data types (int, float, string, boolean)

   - Convert data types using functions like `int()`, `float()`, and `str()`

   - Use the `type()` function to check the data type of a variable

2. Operators and Expressions

   - Use arithmetic operators (+, -, *, /, //) to perform calculations

   - Use comparison operators (==, !=, >, <, >=, <=) to compare values

   - Use logical operators (and, or, not) to create complex expressions

   - Use the `abs()` function to find the absolute value of a number

3. Control Flow Statements

   - Use if statements to execute code based on conditions

   - Use elif statements to provide additional conditions

   - Use else statements to execute code when no conditions are met

   - Use loops (for and while) to repeat code multiple times

4. Functions

   - Define functions with parameters and return values

   - Call functions and pass arguments

   - Use default parameter values

   - Use keyword arguments to pass arguments by name

5. Lists

   - Create lists with elements separated by commas

   - Access list elements using indexing

   - Modify list elements using indexing

   - Use slicing to extract a portion of a list

   - Use list methods like `append()`, `insert()`, `remove()`, and `sort()`

6. Tuples

   - Create tuples with elements separated by commas

   - Access tuple elements using indexing

   - Cannot modify tuple elements

   - Use tuple unpacking to assign multiple variables at once

7. Dictionaries

   - Create dictionaries with key-value pairs separated by colons

   - Access dictionary values using keys

   - Modify dictionary values using keys

   - Use dictionary methods like `keys()`, `values()`, and `items()`

8. File Input/Output

   - Open and close files using the `open()` function

   - Read file contents using the `read()` method

   - Write file contents using the `write()` method

   - Append file contents using the `append()` method

9. Exception Handling

   - Use try-except blocks to handle exceptions

   - Use the `try` block to execute code that may raise an exception

   - Use the `except` block to handle specific exceptions

   - Use the `finally` block to execute code regardless of whether an exception is raised

10. Modules and Packages

   - Import modules using the `import` statement

   - Use module functions and classes

   - Use the `__name__` variable to determine if a module is being run directly or imported

   - Create packages by creating a directory with an `__init__.py` file

These exercises cover a wide range of Python concepts and syntax, and I will continue to practice and refine my skills in these areas.

## Ide

- Idle;

- PyCharm -> [productive coding in PyCharm](https://youtu.be/OoxLZILN-uI);