Laboratory 1: First Steps...


Notice the code cell below!

From this notebook forward please include and run the script in the cell, it will help in debugging a notebook.

Also, from now on, please make sure that you have the following markdown cell, filled with your own information, on top of your notebooks:

Full name:

R#:

Title of the notebook:

Date:

Now, let's get to work!


Variables

Variables are names given to data that we want to store and manipulate in programs. A variable has a name and a value. The value representation depends on what type of object the variable represents. The utility of variables comes in when we have a structure that is universal, but values of variables within the structure will change - otherwise it would be simple enough to just hardwire the arithmetic.

Suppose we want to store the time of concentration for some hydrologic calculation. To do so, we can name a variable TimeOfConcentration, and then assign a value to the variable, for instance:

After this assignment statement the variable is created in the program and has a value of 0.0. The use of a decimal point in the initial assignment establishes the variable as a float (a real variable is called a floating point representation -- or just a float).

Naming Rules

Variable names in Python can only contain letters (a - z, A - Z), numerals (0 - 9), or underscores. The first character cannot be a number, otherwise there is considerable freedom in naming. The names can be reasonably long. runTime, run_Time, _run_Time2, _2runTime are all valid names, but 2runTime is not valid, and will create an error when you try to use it.

There are some reserved words that cannot be used as variable names because they have preassigned meaning in Parseltongue. These words include print, input, if, while, and for. There are several more; the interpreter won't allow you to use these names as variables and will issue an error message when you attempt to run a program with such words used as variables.

Operators

The = sign used in the variable definition is called an assignment operator (or assignment sign). The symbol means that the expression to the right of the symbol is to be evaluated and the result placed into the variable on the left side of the symbol. The "operation" is assignment, the "=" symbol is the operator name.

Consider the script below:

So look at what happened. When we assigned values to the variables named x and y, they started life as 5 and 10. We then wrote those values to the console, and the program returned 5 and 10. Then we assigned y to x which took the value in y and replaced the value that was in x with this value. We then wrote the contents again, and both variables have the value 10.

What's it with # ?

Comments are added by writing a hashtag symbol (#) followed by any text of your choice. Any text that follows the hashtag symbol on the same line is ignored by the Python interpreter.


Arithmetic Operators

In addition to assignment we can also perform arithmetic operations on variables. The fundamental arithmetic operators are:

Symbol Meaning Example
= Assignment x=3 Assigns value of 3 to x.
+ Addition x+y Adds values in x and y.
- Subtraction x-y Subtracts values in y from x.
$*$ Multiplication x*y Multiplies values in x and y.
/ Division x/y Divides value in x by value in y.
// Floor division x//y Divide x by y, truncate result to whole number.
% Modulus x%y Returns remainder when x is divided by y.
$**$ Exponentation x$**$y Raises value in x by value in y. ( e.g. xy)
+= Additive assignment x+=2 Equivalent to x = x+2.
-= Subtractive assignment x-=2 Equivalent to x = x-2.
*= Multiplicative assignment x*=3 Equivalent to x = x*3.
/= Divide assignment x/3 Equivalent to x = x/3.

Run the script in the next cell for some illustrative results

Data Type

In the computer data are all binary digits (actually 0 and +5 volts). At a higher level of abstraction data are typed into integers, real, or alphanumeric representation. The type affects the kind of arithmetic operations that are allowed (as well as the kind of arithmetic - integer versus real arithmetic; lexicographical ordering of alphanumeric , etc.) In scientific programming, a common (and really difficult to detect) source of slight inaccuracies (that tend to snowball as the program runs) is mixed mode arithmetic required because two numeric values are of different types (integer and real).

Learn more from the textbook

https://www.inferentialthinking.com/chapters/04/Data_Types.html

Here we present a quick summary

Integer

Integers are numbers without any fractional portion (nothing after the decimal point { which is not used in integers). Numbers like -3, -2, -1, 0, 1, 2, 200 are integers. A number like 1.1 is not an integer, and 1.0 is also not an integer (the presence of the decimal point makes the number a real).

To declare an integer in Python, just assign the variable name to an integer for example

MyPhoneNumber = 14158576309

Real (Float)

A real or float is a number that has (or can have) a fractional portion - the number has decimal parts. The numbers 3.14159, -0.001, 11.11, 1., are all floats. The last one is especially tricky, if you don't notice the decimal point you might think it is an integer but the inclusion of the decimal point in Python tells the program that the value is to be treated as a float. To declare a float in Python, just assign the variable name to a float for example

MyMassInKilos = 74.8427

String(Alphanumeric)

A string is a data type that is treated as text elements. The usual letters are strings, but numbers can be included. The numbers in a string are simply characters and cannot be directly used in arithmetic. There are some kinds of arithmetic that can be performed on strings but generally we process string variables to capture the text nature of their contents. To declare a string in Python, just assign the variable name to a string value - the trick is the value is enclosed in quotes. The quotes are delimiters that tell the program that the characters between the quotes are characters and are to be treated as literal representation.

For example

MyName = 'Theodore'
MyCatName = "Dusty"
DustyMassInKilos = "7.48427"

are all string variables. The last assignment is made a string on purpose. String variables can be combined using an operation called concatenation. The symbol for concatenation is the plus symbol +.

Strings can also be converted to all upper case using the upper() function. The syntax for the upper() function is 'string to be upper case'.upper(). Notice the "dot" in the syntax. The operation passes everything to the left of the dot to the function which then operates on that content and returns the result all upper case (or an error if the input stream is not a string).

Strings can be formatted using the % operator or the format() function. The concepts will be introduced later on as needed in the workbook, you can Google search for examples of how to do such formatting.

Changing Types

A variable type can be changed. This activity is called type casting. Three functions allow type casting: int(), float(), and str(). The function names indicate the result of using the function, hence int() returns an integer, float() returns a oat, and str() returns a string.

There is also the useful function type() which returns the type of variable.

The easiest way to understand is to see an example.

Expressions


Expressions are the "algebraic" constructions that are evaluated and then placed into a variable. Consider

x1 = 7 + 3 * 6 / 2 - 1

The expression is evaluated from the left to right and in words is

Into the object named x1 place the result of:

integer 7 + (integer 6 divide by integer 2 = float 3 * integer 3 = float 9 - integer 1 = float 8) = float 15

The division operation by default produces a float result unless forced otherwise. The result is the variable x1 is a float with a value of 15.0

Example: Simple Input/Output

Get two floating point numbers via the input() function and store them under the variable names float1 and float2. Then, compare them, and try a few operations on them!

float1 = input("Please enter float1: ")
float1 = float(float1) 
...

Print float1 and float2 to the output screen.

print("float1:", float1)
...

Then check whether float1 is greater than or equal to float2.


Here are some great reads on this topic:

Here are some great videos on these topics:


Exercise: Integer or Float?

Think of a few cases where one might need to convert a float into an integer.

* Make sure to cite any resources that you may use.