Gain insights into Python by exploring basic to advanced concepts, including loops, classes, and GUIs with Tkinter. Delve into testing and become a productive Python programmer.

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In this course, you will get a comprehensive overview of Python. You will start by laying the foundation and learning the introductory topics like operators, conditional statements, functions, loops, assignment statements, and more. You will then move onto more advanced topics such as classes and inheritance, iterators, list comprehensions, and dictionaries. Along with this, you will also get to explore the concept of testing and take a look at how GUI applications can be designed using Tkinter, Python's standard GUI library. 

By the time you're done, you'll be able to hit the ground running and be equipped with the tools that will allow you to be productive in Python.

Python 3: From Beginner to Advanced

## Problem statement

You have been provided with different `grades` lists which are all lists of dictionaries, containing the **name** of the student and the **grade percent** that they achieved. Here’s an example list:

```python
grades = [
   {"name": "Mary","percent": 90},
   {"name": "Don","percent": 55},
   {"name": "Bob","percent": 70},
   {"name": "Jim","percent": 85},
   {"name": "Meg","percent": 80},
   {"name": "Jil","percent": 75}
]
```

Therefore, your task is to write the `get_top()` function which takes in this `grades` list and then extracts only the students with `percent` values **greater** than or **equal** to `80%`. 

You need to use any of the functional programming built-in functions (`map`, `filter`, `reduce`) or **list comprehension** to complete this task. 

## Input

```python
grades = [
   {"name": "Mary","percent": 90},
   {"name": "Don","percent": 55},
   {"name": "Bob","percent": 70},
   {"name": "Jim","percent": 85},
   {"name": "Meg","percent": 80},
   {"name": "Jil","percent": 75}
]
```

## Output

```python
['Mary', 'Jim', 'Meg']
```

## Challenge

This problem has been designed for you to practice freely, so try to solve it on your own first. Take some time and think about the different concepts that we've explored in the course so far.

If you feel stuck, you can always check out the solution review provided in the next lesson.

Good luck!

# Problem statement

You have been provided with different `grades` lists which are all lists of dictionaries, containing the **name** of the student and the **grade percent** that they achieved. Here’s an example list:

```python
grades = [
   {"name": "Mary","percent": 90},
   {"name": "Don","percent": 55},
   {"name": "Bob","percent": 70},
   {"name": "Jim","percent": 85},
   {"name": "Meg","percent": 80},
   {"name": "Jil","percent": 75}
]
```

Therefore, your task is to write the `get_top()` function which takes in this `grades` list and then extracts only the students with `percent` values **greater** than or **equal** to `80%`. 

You need to use any of the functional programming built-in functions (`map`, `filter`, `reduce`) or **list comprehension** to complete this task. 

# Input

```python
grades = [
   {"name": "Mary","percent": 90},
   {"name": "Don","percent": 55},
   {"name": "Bob","percent": 70},
   {"name": "Jim","percent": 85},
   {"name": "Meg","percent": 80},
   {"name": "Jil","percent": 75}
]
```

# Output

```python
['Mary', 'Jim', 'Meg']
```

# Challenge

This problem has been designed for you to practice freely, so try to solve it on your own first. Take some time and think about the different concepts that we've explored in the course so far.

If you feel stuck, you can always check out the solution review provided in the next lesson.

Good luck!

Let’s try to extract the students with the highest scores from a collection of student records.

Introduction

The Absolute Bare Minimum

Better Tools

Classes

Getting Fancy

Testing

Graphical User Interfaces

Modules

Appendix

I Guess We're Doing Python Now Exam

Exercise: Extracting Toppers From a Student Record

Problem statement