Unlike block-level HTML tags, Markdown syntax processed within span-level tags. Automatic Escaping for Special Characters. In this video, we show how to use Python to convert markdown to HTML and add Python syntax highlighting. The video was inspired by a blog post.
In this tutorial we'll learn basic syntax and data types of Python programming language. Compared to other programming languages, Python syntax is very simple.
Comments in Python
Comment is text that is not evaluated by Python interpreter. Comments are needed to explain the code. Like when you have some complex part, you write description for yourself or other coders. Yes, you need to write comments for yourself. When you will read your code in couple months you will not remember why you write the code in such way.
Python comments are marked with # symbol. All text after # and till the end of line is considered as a comment by Python interpreter:
As you can see, you can write comments on lines with the code. On second string only expression 2 + 1 is evaluated. Python interpreter will ignore everything after #.
Besides of #, there is a special construct in Python which is used for commenting - doc string. They are used for describing modules, classes, functions. We will learn all these things in next tutorials. Doc string is indicated by three double quotes: '' doc string '':
Indentation and blocks of code in Python
Python uses indentation to denote blocks of code. Loops, conditions, functions, class definitions, all of it should be indented by the same amount of white spaces or tabs).
Each next level is indented more. One block of code should be indented by the same amount of spaces. Also pay attentions to colons. Colon in Python means: there will be block of code on next line.
It's common practice to use 4 white spaces for indentation of code. I prefer to use 2, and I always set up editor to convert tabs to 2 spaces. You'll see that a lot in attachment source files of next tutorials.
Primitive built-in data types of Python language
We will discuss several basic data types in Python below. But Python additionally has more complex types, though this is subject of another tutorial.
Python allows to use different numbers:
Python allows next math operations: + (sum), - (difference), * (multiplication), / (division). For powering ** is used: 2**3 equals 8. Also, there is additional operation - remainder of division %:
I.e. % divides number, and returns remainder without integer part.
In Python we can change the type of the number. Special functions are used for this: int (from integer), float, complex. It's easy to use these constructs:
These functions allows to indicate obviously what number we want to get. For example, we have some mathematical expression, and we need only integer part of the result.
Such explicit type pointing is called 'type casting'.
Boolean values in Python: True and False
There are two keywords in Python: True and False, they starts with capitalized letter. If you write them with lower-case first letter, interpreter will show you the error. These two values are called Boolean.
We can cast any value to boolean type with bool function:
Next values are False in Python:
Any other value that you pass to bool will be evaluated as True. Boolean values are needed when we need to check some condition.
Checking for truth
Very often we need to answer to the question: 'Is this expression true or false'. For example, if one number is bigger; is the string is empty; is the element belongs to the set:
In this case we are casting expressions result to the bool type. In the next tutorials we will see that it's not necessary. Python automatically casting expressions to the bool when it's needed to answer to the question: 'Is this expression true?'.
Strings in Python
In Python string is the text in quotes, double quotes or in three double quotes:
You need to clearly understand that some number and this number in the string are two different values:
In Python we can compute string length with the len function:
Strings in Python have type str and we can use the function with the same name for casting different values to str type:
Literals in Python
When we see in code just a value (any type: integer or float number, string) - it's a literal:
For now we've discussed five Python data types: int, float, complex, bool, str. These are basic types of the programming language. Now let's see how we can store different values for future usage.
Variable is a memory cell which stores some value and has name (identifier).
In Python identifier of variable is the string which consists of letters, digits and underscore and which starts from letter or underscore symbol.
In (almost) any programming language sign of equality = is used for assignment: value that is on the right-side of the = is moved to the variable on the left-side of the =:
Here are defined three variables with different values. Now we can use them for computation:
In some programming language variables have strict type - you can't assign to the variable value if they have different types. Python in contrary allow such things:
We can learn the type of any value, expression or variable with the type function:
Notice, that this function returns not just name of the type, but tells that it received object of some class. Python is object-oriented language and everything in it is an object. We will learn OOP later.
All operations in Python have precedence (order of evaluation):
Markdown Syntax Python
Here the multiplication will be computed, then sum and then the result will be assigned to variable a. In this example multiplication has highest priority. Precedence of arithmetic operations is the same as in math.
Rosalind hicks. Along with precedence you need to understand associativity of operations - in which order operations with same precedence are evaluated:
Github Markdown Python Syntax Highlighting
In the last string all three variables get value 3. Firstly b will assign value contained in c, then result will be stored in a.
Any expression evaluates in some resulting value. Simple numbers, booleans and strings are evaluated to themselves, these values as we already know are called literals:
Using operations and functions on literals we can get some value.
Python Markdown Syntax Highlighting
Variables are evaluated to the values they contain. When we write name of the variable to the right-side of the =, Python automatically replaces identifier with value of the variable:
Every expression has a result. In some cases Python automatically casting expression result to the needed type. Especially when type bool is needed.
Console output - print
For text output Python 3.x uses print function:
In Python 2.x print can be called without parentheses:
Markdown Syntax In Python
In third version of Python print is actually a function and in the second it's language construct.
Markdown Syntax In Python
Python syntax. Summary
In this tutorial we've discussed basics of Python and it's primitive types. As you may noticed Python has simple and straightforward syntax. Python syntax doesn't suffer from redundancy like other languages. Instead of curly braces Python uses indentation, that additionally gives us readable code. In next tutorials we will learn conditions in Python and will deal with built in data structures: lists, sets, dictionaries.