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What is Python?

What can Python do?

(i) Python can be used on a server to create web applications.
(ii) Python can be used alongside software to create workflows.
(iii) Python can connect to database systems. It can also read and modify files.
(iV) Python can be used to handle big data and perform complex mathematics.
(v) Python can be used for rapid prototyping, or for production-ready software development.

Python Syntax compared to other programming languages

(i) Python was designed for readability, and has some similarities to the English language with influence from mathematics.
(ii) Python uses new lines to complete a command, as opposed to other programming languages which often use semicolons or parentheses.
(iii)Python relies on indentation, using whitespace, to define scope; such as the scope of loops, functions and classes. Other programming languages often use curly-brackets for this purpose.

Example

print("Hello, World!")

Python Variables

Variable is a name that is used to refer to memory location. Python variable is also known as an identifier and used to hold value. In Python, we don't need to specify the type of variable because Python is a infer language and smart enough to get variable type. Variable names can be a group of both the letters and digits, but they have to begin with a letter or an underscore. It is recommended to use lowercase letters for the variable name. Rahul and rahul both are two different variables.

Identifier Naming

Variables are the example of identifiers. An Identifier is used to identify the literals used in the program. The rules to name an identifier are given below.

1>. The first character of the variable must be an alphabet or underscore ( _ ).
2>. All the characters except the first character may be an alphabet of lower-case(a-z), upper-case (A-Z), underscore, or digit (0-9).
3>. Identifier name must not contain any white-space, or special character (!, @, #, %, ^, &, *).
4>. Identifier name must not be similar to any keyword defined in the language.
5>. Identifier names are case sensitive; for example, my name, and MyName is not the same.
6>. Examples of valid identifiers: a123, _n, n_9, etc.
7>. Examples of invalid identifiers: 1a, n%4, n 9, etc.

Machine Learning

Machine Learning is making the computer learn from studying data and statistics. Machine Learning is a step into the direction of artificial intelligence (AI). Machine Learning is a program that analyses data and learns to predict the outcome.

Where To Start?

Machine learning wikipediaclick here

In this tutorial we will go back to mathematics and study statistics, and how to calculate important numbers based on data sets. We will also learn how to use various Python modules to get the answers we need. And we will learn how to make functions that are able to predict the outcome based on what we have learned.

Data Set

In the mind of a computer, a data set is any collection of data. It can be anything from an array to a complete database. Example of an array: [99,86,87,88,111,86,103,87,94,78,77,85,86] Example of a database:

Mean, Median, and Mode

Jacob

What can we learn from looking at a group of numbers?
In Machine Learning (and in mathematics) there are often three values that interests us:
Mean - The average value
Median - The mid point value
Mode - The most common value
Example: We have registered the speed of 13 cars:
speed = [99,86,87,88,111,86,103,87,94,78,77,85,86]
What is the average, the middle, or the most common speed value?
Mean
The mean value is the average value.
To calculate the mean, find the sum of all values, and divide the sum by the number of values:
(99+86+87+88+111+86+103+87+94+78+77+85+86) / 13 = 89.77
The NumPy module has a method for this. Learn about the NumPy module in our NumPy Tutorial.
Example
Use the NumPy mean() method to find the average speed:
import numpy
speed = [99,86,87,88,111,86,103,87,94,78,77,85,86]
x = numpy.mean(speed)
print(x)

What is Standard Deviation?

Standard deviation is a number that describes how spread out the values are.
A low standard deviation means that most of the numbers are close to the mean (average) value.
A high standard deviation means that the values are spread out over a wider range.
Example: This time we have registered the speed of 7 cars:

• speed = [86,87,88,86,87,85,86]
• The standard deviation is:
• 0.9