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

## Introduction to modules

The standard Python distribution comes with about 300 modules; many more are available, both commercial and free. Before writing code to solve problems in a given domain, it is a good idea to first check to see what is already available.

This chapter will explore the built-in  `math`, `statistics`, and `os` (operating system) packages.

## Math module

The math module (`import math`) includes a lot of functions that are not available by default. Here are some of them:

* `ceil(x)` : the smallest integer greater than or equal to `x`

* `floor(x)` : the largest integer smaller than or equal to `x`
* `comb(n, k)` : the number of possible subsets of size `k` from a set of `n` elements
* `perm(n, k)` : the number of possible ordered sequences of size `k`, where the elements are drawn without replacement from a set of `n` elements
* `factorial(n)` : the product of the first `n` positive integers
* `gcd(a, b)` : the greatest common divisor of the two arguments
* `log(x)`, `log2(x)`, `log10(x)`, `log(x, b)` : returns the logarithm of `x` to the base `e`, `2`, `10`, and `b`, respectively
* `exp(x)` : returns $e^x$	
* `sqrt(x)` : returns the square root of `x`
* The trigonometric functions: `sin(x)`, `cos(x)`, `tan(x)`, `asin(x)`, `acos(x)`, and `atan(x)`, where `x` is in radians.
* The hyperbolic functions: `sinh(x)`, `cosh(x)`, `tanh(x)`, `asinh(x)`, `acosh(x)`, and `atanh(x)`, where `x` is in radians.
* The conversion functions: `degrees(radians)` and `radians(degrees)`.

Here’s an example:

# Introduction to modules

The standard Python distribution comes with about 300 modules; many more are available, both commercial and free. Before writing code to solve problems in a given domain, it is a good idea to first check to see what is already available.

This chapter will explore the built-in  `math`, `statistics`, and `os` (operating system) packages.

# Math module

The math module (`import math`) includes a lot of functions that are not available by default. Here are some of them:

* `ceil(x)` : the smallest integer greater than or equal to `x`

* `floor(x)` : the largest integer smaller than or equal to `x`
* `comb(n, k)` : the number of possible subsets of size `k` from a set of `n` elements
* `perm(n, k)` : the number of possible ordered sequences of size `k`, where the elements are drawn without replacement from a set of `n` elements
* `factorial(n)` : the product of the first `n` positive integers
* `gcd(a, b)` : the greatest common divisor of the two arguments
* `log(x)`, `log2(x)`, `log10(x)`, `log(x, b)` : returns the logarithm of `x` to the base `e`, `2`, `10`, and `b`, respectively
* `exp(x)` : returns $e^x$	
* `sqrt(x)` : returns the square root of `x`
* The trigonometric functions: `sin(x)`, `cos(x)`, `tan(x)`, `asin(x)`, `acos(x)`, and `atan(x)`, where `x` is in radians.
* The hyperbolic functions: `sinh(x)`, `cosh(x)`, `tanh(x)`, `asinh(x)`, `acosh(x)`, and `atanh(x)`, where `x` is in radians.
* The conversion functions: `degrees(radians)` and `radians(degrees)`.

Here’s an example:

This section gives a brief introduction to some of the built-in packages in Python, including the math module. 

Built-in Modules

This section gives a brief introduction to some of the built-in packages in Python, including the math module.

Introduction

The Absolute Bare Minimum

Better Tools

Classes

Getting Fancy

Testing

Graphical User Interfaces

Modules

Appendix

I Guess We're Doing Python Now Exam

Built-in Modules

Introduction to modules

Math module