Register   Login   About   Study   Enterprise   Share
Internet / AI Technology University (ITU/AITU)
Fast Login - available after registration







|

Top Links: >> 80. Technology >> Internet Technology Summit Program >> 9. AI with Python >> 9.1. The Python Tutorial Introduction >> 9.1.1. Python Docs, Lexicon, and Components >> 9.1.1.3. Python Internals
Current Topic: 9.1.1.3.1. An Informal Introduction to Python
You have a privilege to create a quiz (QnA) related to this subject and obtain creativity score...

In the following examples, input and output are distinguished by the presence or absence of prompts (>>> and ?): to repeat the example, you must type everything after the prompt, when the prompt appears; lines that do not begin with a prompt are output from the interpreter. Note that a secondary prompt on a line by itself in an example means you must type a blank line; this is used to end a multi-line command.


Many of the examples in this manual, even those entered at the interactive prompt, include comments. Comments in Python start with the hash character, #, and extend to the end of the physical line. A comment may appear at the start of a line or following whitespace or code, but not within a string literal. A hash character within a string literal is just a hash character. Since comments are to clarify code and are not interpreted by Python, they may be omitted when typing in examples.


Some examples:




# this is the first comment
spam = 1 # and this is the second comment
# ... and now a third!
text = "# This is not a comment because it's inside quotes."





3.1. Using Python as a Calculator


Let's try some simple Python commands. Start the interpreter and wait for the primary prompt, >>>. (It shouldn?t take long.)




3.1.1. Numbers


The interpreter acts as a simple calculator: you can type an expression at it and it will write the value. Expression syntax is straightforward: the operators +, -, * and / work just like in most other languages (for example, Pascal or C); parentheses (()) can be used for grouping. For example:




>>> 2 + 2
4
>>> 50 - 5*6
20
>>> (50 - 5*6) / 4
5.0
>>> 8 / 5 # division always returns a floating point number
1.6



The integer numbers (e.g. 2, 4, 20) have type int, the ones with a fractional part (e.g. 5.0, 1.6) have type float. We will see more about numeric types later in the tutorial.


Division (/) always returns a float. To do floor division and get an integer result (discarding any fractional result) you can use the // operator; to calculate the remainder you can use %:




>>> 17 / 3  # classic division returns a float
5.666666666666667
>>>
>>> 17 // 3 # floor division discards the fractional part
5
>>> 17 % 3 # the % operator returns the remainder of the division
2
>>> 5 * 3 + 2 # result * divisor + remainder
17



With Python, it is possible to use the ** operator to calculate powers 1:




>>> 5 ** 2  # 5 squared
25
>>> 2 ** 7 # 2 to the power of 7
128



The equal sign (=) is used to assign a value to a variable. Afterwards, no result is displayed before the next interactive prompt:




>>> width = 20
>>> height = 5 * 9
>>> width * height
900



If a variable is not ?defined? (assigned a value), trying to use it will give you an error:




>>> n  # try to access an undefined variable
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
NameError: name 'n' is not defined



There is full support for floating point; operators with mixed type operands convert the integer operand to floating point:




>>> 4 * 3.75 - 1
14.0



In interactive mode, the last printed expression is assigned to the variable _. This means that when you are using Python as a desk calculator, it is somewhat easier to continue calculations, for example:




>>> tax = 12.5 / 100
>>> price = 100.50
>>> price * tax
12.5625
>>> price + _
113.0625
>>> round(_, 2)
113.06



This variable should be treated as read-only by the user. Don?t explicitly assign a value to it ? you would create an independent local variable with the same name masking the built-in variable with its magic behavior.


In addition to int and float, Python supports other types of numbers, such as Decimal and Fraction. Python also has built-in support for complex numbers, and uses the j or J suffix to indicate the imaginary part (e.g. 3+5j).





3.1.2. Strings


Besides numbers, Python can also manipulate strings, which can be expressed in several ways. They can be enclosed in single quotes ('...') or double quotes ("...") with the same result 2. \ can be used to escape quotes:




>>> 'spam eggs'  # single quotes
'spam eggs'
>>> 'doesn\'t' # use \' to escape the single quote...
"doesn't"
>>> "doesn't" # ...or use double quotes instead
"doesn't"
>>> '"Yes," they said.'
'"Yes," they said.'
>>> "\"Yes,\" they said."
'"Yes," they said.'
>>> '"Isn\'t," they said.'
'"Isn\'t," they said.'



In the interactive interpreter, the output string is enclosed in quotes and special characters are escaped with backslashes. While this might sometimes look different from the input (the enclosing quotes could change), the two strings are equivalent. The string is enclosed in double quotes if the string contains a single quote and no double quotes, otherwise it is enclosed in single quotes. The print() function produces a more readable output, by omitting the enclosing quotes and by printing escaped and special characters:




>>> '"Isn\'t," they said.'
'"Isn\'t," they said.'
>>> print('"Isn\'t," they said.')
"Isn't," they said.
>>> s = 'First line.\nSecond line.' # \n means newline
>>> s # without print(), \n is included in the output
'First line.\nSecond line.'
>>> print(s) # with print(), \n produces a new line
First line.
Second line.



If you don?t want characters prefaced by \ to be interpreted as special characters, you can use raw strings by adding an r before the first quote:




>>> print('C:\some\name')  # here \n means newline!
C:\some
ame
>>> print(r'C:\some\name') # note the r before the quote
C:\some\name



String literals can span multiple lines. One way is using triple-quotes: """...""" or '''...'''. End of lines are automatically included in the string, but it's possible to prevent this by adding a \ at the end of the line. The following example:




print("""\
Usage: thingy [OPTIONS]
-h Display this usage message
-H hostname Hostname to connect to
""")



produces the following output (note that the initial newline is not included):




Usage: thingy [OPTIONS]
-h Display this usage message
-H hostname Hostname to connect to



Strings can be concatenated (glued together) with the + operator, and repeated with *:




>>> # 3 times 'un', followed by 'ium'
>>> 3 * 'un' + 'ium'
'unununium'



Two or more string literals (i.e. the ones enclosed between quotes) next to each other are automatically concatenated.




>>> 'Py' 'thon'
'Python'



This feature is particularly useful when you want to break long strings:




>>> text = ('Put several strings within parentheses '
... 'to have them joined together.')
>>> text
'Put several strings within parentheses to have them joined together.'



This only works with two literals though, not with variables or expressions:




>>> prefix = 'Py'
>>> prefix 'thon' # can't concatenate a variable and a string literal
File "<stdin>", line 1
prefix 'thon'
^
SyntaxError: invalid syntax
>>> ('un' * 3) 'ium'
File "<stdin>", line 1
('un' * 3) 'ium'
^
SyntaxError: invalid syntax



If you want to concatenate variables or a variable and a literal, use +:




>>> prefix + 'thon'
'Python'



Strings can be indexed (subscripted), with the first character having index 0. There is no separate character type; a character is simply a string of size one:




>>> word = 'Python'
>>> word[0] # character in position 0
'P'
>>> word[5] # character in position 5
'n'



Indices may also be negative numbers, to start counting from the right:




>>> word[-1]  # last character
'n'
>>> word[-2] # second-last character
'o'
>>> word[-6]
'P'



Note that since -0 is the same as 0, negative indices start from -1.


In addition to indexing, slicing is also supported. While indexing is used to obtain individual characters, slicing allows you to obtain substring:




>>> word[0:2]  # characters from position 0 (included) to 2 (excluded)
'Py'
>>> word[2:5] # characters from position 2 (included) to 5 (excluded)
'tho'



Note how the start is always included, and the end always excluded. This makes sure that s[:i] + s[i:] is always equal to s:




>>> word[:2] + word[2:]
'Python'
>>> word[:4] + word[4:]
'Python'



Slice indices have useful defaults; an omitted first index defaults to zero, an omitted second index defaults to the size of the string being sliced.


Was it clear so far?


>>> word[:2]   # character from the beginning to position 2 (excluded)
'Py'
>>> word[4:] # characters from position 4 (included) to the end
'on'
>>> word[-2:] # characters from the second-last (included) to the end
'on'



One way to remember how slices work is to think of the indices as pointing between characters, with the left edge of the first character numbered 0. Then the right edge of the last character of a string of n characters has index n, for example:




 +---+---+---+---+---+---+
| P | y | t | h | o | n |
+---+---+---+---+---+---+
0 1 2 3 4 5 6
-6 -5 -4 -3 -2 -1



The first row of numbers gives the position of the indices 0?6 in the string; the second row gives the corresponding negative indices. The slice from i to j consists of all characters between the edges labeled i and j, respectively.


For non-negative indices, the length of a slice is the difference of the indices, if both are within bounds. For example, the length of word[1:3] is 2.


Attempting to use an index that is too large will result in an error:




>>> word[42]  # the word only has 6 characters
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
IndexError: string index out of range



However, out of range slice indexes are handled gracefully when used for slicing:




>>> word[4:42]
'on'
>>> word[42:]
''



Python strings cannot be changed ? they are immutable. Therefore, assigning to an indexed position in the string results in an error:




>>> word[0] = 'J'
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: 'str' object does not support item assignment
>>> word[2:] = 'py'
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: 'str' object does not support item assignment



If you need a different string, you should create a new one:




>>> 'J' + word[1:]
'Jython'
>>> word[:2] + 'py'
'Pypy'



The built-in function len() returns the length of a string:




>>> s = 'supercalifragilisticexpialidocious'
>>> len(s)
34




See also




Text Sequence Type ? str


Strings are examples of sequence types, and support the common operations supported by such types.




String Methods


Strings support a large number of methods for basic transformations and searching.




Formatted string literals


String literals that have embedded expressions.




Format String Syntax


Information about string formatting with str.format().




printf-style String Formatting


The old formatting operations invoked when strings are the left operand of the % operator are described in more detail here.








3.1.3. Lists


Python knows a number of compound data types, used to group together other values. The most versatile is the list, which can be written as a list of comma-separated values (items) between square brackets. Lists might contain items of different types, but usually the items all have the same type.




>>> squares = [1, 4, 9, 16, 25]
>>> squares
[1, 4, 9, 16, 25]



Like strings (and all other built-in sequence types), lists can be indexed and sliced:




>>> squares[0]  # indexing returns the item
1
>>> squares[-1]
25
>>> squares[-3:] # slicing returns a new list
[9, 16, 25]



All slice operations return a new list containing the requested elements. This means that the following slice returns a shallow copy of the list:




>>> squares[:]
[1, 4, 9, 16, 25]



Lists also support operations like concatenation:




>>> squares + [36, 49, 64, 81, 100]
[1, 4, 9, 16, 25, 36, 49, 64, 81, 100]



Unlike strings, which are immutable, lists are a mutable type, i.e. it is possible to change their content:




>>> cubes = [1, 8, 27, 65, 125]  # something's wrong here
>>> 4 ** 3 # the cube of 4 is 64, not 65!
64
>>> cubes[3] = 64 # replace the wrong value
>>> cubes
[1, 8, 27, 64, 125]



You can also add new items at the end of the list, by using the append() method (we will see more about methods later):




>>> cubes.append(216)  # add the cube of 6
>>> cubes.append(7 ** 3) # and the cube of 7
>>> cubes
[1, 8, 27, 64, 125, 216, 343]



Assignment to slices is also possible, and this can even change the size of the list or clear it entirely:




>>> letters = ['a', 'b', 'c', 'd', 'e', 'f', 'g']
>>> letters
['a', 'b', 'c', 'd', 'e', 'f', 'g']
>>> # replace some values
>>> letters[2:5] = ['C', 'D', 'E']
>>> letters
['a', 'b', 'C', 'D', 'E', 'f', 'g']
>>> # now remove them
>>> letters[2:5] = []
>>> letters
['a', 'b', 'f', 'g']
>>> # clear the list by replacing all the elements with an empty list
>>> letters[:] = []
>>> letters
[]



The built-in function len() also applies to lists:




>>> letters = ['a', 'b', 'c', 'd']
>>> len(letters)
4



It is possible to nest lists (create lists containing other lists), for example:




>>> a = ['a', 'b', 'c']
>>> n = [1, 2, 3]
>>> x = [a, n]
>>> x
[['a', 'b', 'c'], [1, 2, 3]]
>>> x[0]
['a', 'b', 'c']
>>> x[0][1]
'b'







3.2. First Steps Towards Programming


Of course, we can use Python for more complicated tasks than adding two and two together. For instance, we can write an initial sub-sequence of the Fibonacci series as follows:




>>> # Fibonacci series:
... # the sum of two elements defines the next
... a, b = 0, 1
>>> while a < 10:
... print(a)
... a, b = b, a+b
...
0
1
1
2
3
5
8



This example introduces several new features.



| Check Your Progress | Propose QnA | Have a question or comments for open discussion?
# this is the first comment
spam = 1 # and this is the second comment
# ... and now a third!
text = "# This is not a comment because it's inside quotes."





3.1. Using Python as a Calculator


Let's try some simple Python commands. Start the interpreter and wait for the primary prompt, >>>. (It shouldn?t take long.)




3.1.1. Numbers


The interpreter acts as a simple calculator: you can type an expression at it and it will write the value. Expression syntax is straightforward: the operators +, -, * and / work just like in most other languages (for example, Pascal or C); parentheses (()) can be used for grouping. For example:




>>> 2 + 2
4
>>> 50 - 5*6
20
>>> (50 - 5*6) / 4
5.0
>>> 8 / 5 # division always returns a floating point number
1.6



The integer numbers (e.g. 2, 4, 20) have type int, the ones with a fractional part (e.g. 5.0, 1.6) have type float. We will see more about numeric types later in the tutorial.


Division (/) always returns a float. To do floor division and get an integer result (discarding any fractional result) you can use the // operator; to calculate the remainder you can use %:




>>> 17 / 3  # classic division returns a float
5.666666666666667
>>>
>>> 17 // 3 # floor division discards the fractional part
5
>>> 17 % 3 # the % operator returns the remainder of the division
2
>>> 5 * 3 + 2 # result * divisor + remainder
17



With Python, it is possible to use the ** operator to calculate powers 1:




>>> 5 ** 2  # 5 squared
25
>>> 2 ** 7 # 2 to the power of 7
128



The equal sign (=) is used to assign a value to a variable. Afterwards, no result is displayed before the next interactive prompt:




>>> width = 20
>>> height = 5 * 9
>>> width * height
900



If a variable is not ?defined? (assigned a value), trying to use it will give you an error:




>>> n  # try to access an undefined variable
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
NameError: name 'n' is not defined



There is full support for floating point; operators with mixed type operands convert the integer operand to floating point:




>>> 4 * 3.75 - 1
14.0



In interactive mode, the last printed expression is assigned to the variable _. This means that when you are using Python as a desk calculator, it is somewhat easier to continue calculations, for example:




>>> tax = 12.5 / 100
>>> price = 100.50
>>> price * tax
12.5625
>>> price + _
113.0625
>>> round(_, 2)
113.06



This variable should be treated as read-only by the user. Don?t explicitly assign a value to it ? you would create an independent local variable with the same name masking the built-in variable with its magic behavior.


In addition to int and float, Python supports other types of numbers, such as Decimal and Fraction. Python also has built-in support for complex numbers, and uses the j or J suffix to indicate the imaginary part (e.g. 3+5j).





3.1.2. Strings


Besides numbers, Python can also manipulate strings, which can be expressed in several ways. They can be enclosed in single quotes ('...') or double quotes ("...") with the same result 2. \ can be used to escape quotes:




>>> 'spam eggs'  # single quotes
'spam eggs'
>>> 'doesn\'t' # use \' to escape the single quote...
"doesn't"
>>> "doesn't" # ...or use double quotes instead
"doesn't"
>>> '"Yes," they said.'
'"Yes," they said.'
>>> "\"Yes,\" they said."
'"Yes," they said.'
>>> '"Isn\'t," they said.'
'"Isn\'t," they said.'



In the interactive interpreter, the output string is enclosed in quotes and special characters are escaped with backslashes. While this might sometimes look different from the input (the enclosing quotes could change), the two strings are equivalent. The string is enclosed in double quotes if the string contains a single quote and no double quotes, otherwise it is enclosed in single quotes. The print() function produces a more readable output, by omitting the enclosing quotes and by printing escaped and special characters:




>>> '"Isn\'t," they said.'
'"Isn\'t," they said.'
>>> print('"Isn\'t," they said.')
"Isn't," they said.
>>> s = 'First line.\nSecond line.' # \n means newline
>>> s # without print(), \n is included in the output
'First line.\nSecond line.'
>>> print(s) # with print(), \n produces a new line
First line.
Second line.



If you don?t want characters prefaced by \ to be interpreted as special characters, you can use raw strings by adding an r before the first quote:




>>> print('C:\some\name')  # here \n means newline!
C:\some
ame
>>> print(r'C:\some\name') # note the r before the quote
C:\some\name



String literals can span multiple lines. One way is using triple-quotes: """...""" or '''...'''. End of lines are automatically included in the string, but it's possible to prevent this by adding a \ at the end of the line. The following example:




print("""\
Usage: thingy [OPTIONS]
-h Display this usage message
-H hostname Hostname to connect to
""")



produces the following output (note that the initial newline is not included):




Usage: thingy [OPTIONS]
-h Display this usage message
-H hostname Hostname to connect to



Strings can be concatenated (glued together) with the + operator, and repeated with *:




>>> # 3 times 'un', followed by 'ium'
>>> 3 * 'un' + 'ium'
'unununium'



Two or more string literals (i.e. the ones enclosed between quotes) next to each other are automatically concatenated.




>>> 'Py' 'thon'
'Python'



This feature is particularly useful when you want to break long strings:




>>> text = ('Put several strings within parentheses '
... 'to have them joined together.')
>>> text
'Put several strings within parentheses to have them joined together.'



This only works with two literals though, not with variables or expressions:




>>> prefix = 'Py'
>>> prefix 'thon' # can't concatenate a variable and a string literal
File "<stdin>", line 1
prefix 'thon'
^
SyntaxError: invalid syntax
>>> ('un' * 3) 'ium'
File "<stdin>", line 1
('un' * 3) 'ium'
^
SyntaxError: invalid syntax



If you want to concatenate variables or a variable and a literal, use +:




>>> prefix + 'thon'
'Python'



Strings can be indexed (subscripted), with the first character having index 0. There is no separate character type; a character is simply a string of size one:




>>> word = 'Python'
>>> word[0] # character in position 0
'P'
>>> word[5] # character in position 5
'n'



Indices may also be negative numbers, to start counting from the right:




>>> word[-1]  # last character
'n'
>>> word[-2] # second-last character
'o'
>>> word[-6]
'P'



Note that since -0 is the same as 0, negative indices start from -1.


In addition to indexing, slicing is also supported. While indexing is used to obtain individual characters, slicing allows you to obtain substring:




>>> word[0:2]  # characters from position 0 (included) to 2 (excluded)
'Py'
>>> word[2:5] # characters from position 2 (included) to 5 (excluded)
'tho'



Note how the start is always included, and the end always excluded. This makes sure that s[:i] + s[i:] is always equal to s:




>>> word[:2] + word[2:]
'Python'
>>> word[:4] + word[4:]
'Python'



Slice indices have useful defaults; an omitted first index defaults to zero, an omitted second index defaults to the size of the string being sliced.








Was it clear so far?



>>> word[:2]   # character from the beginning to position 2 (excluded)
'Py'
>>> word[4:] # characters from position 4 (included) to the end
'on'
>>> word[-2:] # characters from the second-last (included) to the end
'on'



One way to remember how slices work is to think of the indices as pointing between characters, with the left edge of the first character numbered 0. Then the right edge of the last character of a string of n characters has index n, for example:




 +---+---+---+---+---+---+
| P | y | t | h | o | n |
+---+---+---+---+---+---+
0 1 2 3 4 5 6
-6 -5 -4 -3 -2 -1



The first row of numbers gives the position of the indices 0?6 in the string; the second row gives the corresponding negative indices. The slice from i to j consists of all characters between the edges labeled i and j, respectively.


For non-negative indices, the length of a slice is the difference of the indices, if both are within bounds. For example, the length of word[1:3] is 2.


Attempting to use an index that is too large will result in an error:




>>> word[42]  # the word only has 6 characters
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
IndexError: string index out of range



However, out of range slice indexes are handled gracefully when used for slicing:




>>> word[4:42]
'on'
>>> word[42:]
''



Python strings cannot be changed ? they are immutable. Therefore, assigning to an indexed position in the string results in an error:




>>> word[0] = 'J'
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: 'str' object does not support item assignment
>>> word[2:] = 'py'
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: 'str' object does not support item assignment



If you need a different string, you should create a new one:




>>> 'J' + word[1:]
'Jython'
>>> word[:2] + 'py'
'Pypy'



The built-in function len() returns the length of a string:




>>> s = 'supercalifragilisticexpialidocious'
>>> len(s)
34




See also




Text Sequence Type ? str


Strings are examples of sequence types, and support the common operations supported by such types.




String Methods


Strings support a large number of methods for basic transformations and searching.




Formatted string literals


String literals that have embedded expressions.




Format String Syntax


Information about string formatting with str.format().




printf-style String Formatting


The old formatting operations invoked when strings are the left operand of the % operator are described in more detail here.








3.1.3. Lists


Python knows a number of compound data types, used to group together other values. The most versatile is the list, which can be written as a list of comma-separated values (items) between square brackets. Lists might contain items of different types, but usually the items all have the same type.




>>> squares = [1, 4, 9, 16, 25]
>>> squares
[1, 4, 9, 16, 25]



Like strings (and all other built-in sequence types), lists can be indexed and sliced:




>>> squares[0]  # indexing returns the item
1
>>> squares[-1]
25
>>> squares[-3:] # slicing returns a new list
[9, 16, 25]



All slice operations return a new list containing the requested elements. This means that the following slice returns a shallow copy of the list:




>>> squares[:]
[1, 4, 9, 16, 25]



Lists also support operations like concatenation:




>>> squares + [36, 49, 64, 81, 100]
[1, 4, 9, 16, 25, 36, 49, 64, 81, 100]



Unlike strings, which are immutable, lists are a mutable type, i.e. it is possible to change their content:




>>> cubes = [1, 8, 27, 65, 125]  # something's wrong here
>>> 4 ** 3 # the cube of 4 is 64, not 65!
64
>>> cubes[3] = 64 # replace the wrong value
>>> cubes
[1, 8, 27, 64, 125]



You can also add new items at the end of the list, by using the append() method (we will see more about methods later):




>>> cubes.append(216)  # add the cube of 6
>>> cubes.append(7 ** 3) # and the cube of 7
>>> cubes
[1, 8, 27, 64, 125, 216, 343]



Assignment to slices is also possible, and this can even change the size of the list or clear it entirely:




>>> letters = ['a', 'b', 'c', 'd', 'e', 'f', 'g']
>>> letters
['a', 'b', 'c', 'd', 'e', 'f', 'g']
>>> # replace some values
>>> letters[2:5] = ['C', 'D', 'E']
>>> letters
['a', 'b', 'C', 'D', 'E', 'f', 'g']
>>> # now remove them
>>> letters[2:5] = []
>>> letters
['a', 'b', 'f', 'g']
>>> # clear the list by replacing all the elements with an empty list
>>> letters[:] = []
>>> letters
[]



The built-in function len() also applies to lists:




>>> letters = ['a', 'b', 'c', 'd']
>>> len(letters)
4



It is possible to nest lists (create lists containing other lists), for example:




>>> a = ['a', 'b', 'c']
>>> n = [1, 2, 3]
>>> x = [a, n]
>>> x
[['a', 'b', 'c'], [1, 2, 3]]
>>> x[0]
['a', 'b', 'c']
>>> x[0][1]
'b'







3.2. First Steps Towards Programming


Of course, we can use Python for more complicated tasks than adding two and two together. For instance, we can write an initial sub-sequence of the Fibonacci series as follows:




>>> # Fibonacci series:
... # the sum of two elements defines the next
... a, b = 0, 1
>>> while a < 10:
... print(a)
... a, b = b, a+b
...
0
1
1
2
3
5
8



This example introduces several new features.




| Check Your Progress | Propose QnA | Have a question or comments for open discussion?

Have a suggestion? - shoot an email
Looking for something special? - Talk to me
Read: IT of the future: AI and Semantic Cloud Architecture | Fixing Education
Do you want to move from theory to practice and become a magician? Learn and work with us at Internet Technology University (ITU) - JavaSchool.com.

Technology that we offer and How this works: English | Spanish | Russian | French

Internet Technology University | JavaSchool.com | Copyrights © Since 1997 | All Rights Reserved
Patents: US10956676, US7032006, US7774751, US7966093, US8051026, US8863234
Including conversational semantic decision support systems (CSDS) and bringing us closer to The message from 2040
Privacy Policy