Python Fast Boot Camp For Dummies , Understanding Variable , numbers, tuple , list , dictionary , python data structure.

What is variable ?

Variable is a label for a location in memory . Variable make us easy to understand as programmer.

Python has five standard data types −

  • Numbers
  • String
  • List
  • Tuple
  • Dictionary

Let’s take a look on each of them.

Number Data Type in Python

Python supports integers, floating point numbers and complex numbers. They are defined as intfloat and complex class in Python.

# note variable is always at the left and we assign it with = to something like integer and float
# example we name our variable i for integer and f for float
i = 7
f = 3.5
# print the value of i and f to command prompt
print (i)
print (f)
# we can use type function to determine what is variable i and f is
print (type(i))
print (type(f))
## We can covert between the type to by using int and float function
print (float(i))
print (int(f))

Below are example of number type.

Number SystemPrefix
Binary‘0b’ or ‘0B’
Octal‘0o’ or ‘0O’
Hexadecimal‘0x’ or ‘0X’

Complex numbers are an extension of the familiar real number system in which all numbers are expressed as a sum of a real part and an imaginary part. Imaginary numbers are real multiples of the imaginary unit (the square root of -1), often written i in mathematics or j in engineering. Python has built-in support for complex numbers, which are written with this latter notation; the imaginary part is written with a j suffix, e.g., 3+1j. To get access to complex equivalents of the math module, use cmath. Use of complex numbers is a fairly advanced mathematical feature. If you’re not aware of a need for them, it’s almost certain you can safely ignore them.

Complex numbers are stored as a pair of machine-level double precision floating point numbers.

x = 3+1j
y = 3+2j
z = 3+3j
x = x + y + z
print (x)

Below are Operation that we can do with number type.

<strictly less than
<=less than or equal
>strictly greater than
>=greater than or equal
!=not equal
isobject identity
is notnegated object identity

Cheat Sheet For Number

OperationResultNotesFull documentation
x + ysum of x and y
x - ydifference of x and y
x * yproduct of x and y
x / yquotient of x and y
x // yfloored quotient of x and y(1)
x % yremainder of x / y(2)
-xx negated
+xx unchanged
abs(x)absolute value or magnitude of xabs()
int(x)x converted to integer(3)(6)int()
float(x)x converted to floating point(4)(6)float()
complex(re, im)a complex number with real part re, imaginary part imim defaults to zero.(6)complex()
c.conjugate()conjugate of the complex number c
divmod(x, y)the pair (x // y, x % y)(2)divmod()
pow(x, y)x to the power y(5)pow()
x ** yx to the power y(5)

String Data Type

Strings in Python are identified as a contiguous set of characters represented in the quotation marks. Python allows either pair of single or double quotes. Subsets of strings can be taken using the slice operator ([ ] and [:] ) with indexes starting at 0 in the beginning of the string and working their way from -1 to the end.

The plus (+) sign is the string concatenation operator and the asterisk (*) is the repetition operator. For example −

#### Declare Variable str and assign string to it
str = "Welcome to Python String Tutorial"
print (len(str))     # Prints length of the str
print (str)          # Prints complete string
print (str[0])       # Prints first character of the string
print (str[2:5])     # Prints characters starting from 3rd to 5th
print (str[2:])      # Prints string starting from 3rd character
print (str * 2)      # Prints string two times
print (str + " More Text") # Prints concatenated string
print (str.lower())  # Prints to lower
print (str.upper())  # Prints all to upper

List data type in Python

list1 = [ 'Apple' , 'Banana' , "Stawberry" ] ## Declare 3 List Element
list1[0] = "Change from apple to Chili"   ## Remember to access List 0 is the first element
list2 = ['Name' , 'Fruit' , '123']
## looping list
for x in list1:
    print (x)
print (list1)          # Prints complete list
print (list1[0])       # Prints first element of the list
print (list1[1:3])     # Prints elements starting from 2nd till 3rd
print (list1[2:])      # Prints elements starting from 3rd element
print (list1 * 2)  # Prints list two times
print (list1 + list2) # Prints concatenated lists
print (len(list1))               ### print how many element in list which is 3
list1.append ("New Element")     ### append to list1
list1.insert (1, 'New Item')     ### insert in list[1] New Item
del list1[0]                     ### remove item from list[0]

Tuple Data Type in Python

While list we begin to declare it with [] , tuple we declare it with () . Unlike List , List can be change while Tuple can’t be change . It is like read only data . Let’s take a look from example below.

tuple1 = ('12345' , 'Some Text Here' , 'Final text here 12345') ## declare tuple Notice we use ()
tuple2 = ('54321', "another text here")
print (len(tuple1))           ## print tuple1 length
print (len(tuple2))           ## print tuple2 length
print (tuple1)           # Prints complete tuple
print (tuple1[0])        # Prints first element of the tuple
print (tuple1[1:3])      # Prints elements starting from 2nd till 3rd
print (tuple1[2:])       # Prints elements starting from 3rd element
print (tuple2 + tuple1)  # prints tuple 2 and follow by tuple 1
#### We try to edit tuple1 with result of error
tuple1[0] = 'Error'     # TypeError: 'tuple' object does not support item assignment

Dictionary Data Type in Python

Dictionary in Python is an unordered collection of data values, used to store data values like a map, which unlike other Data Types that hold only single value as an element, Dictionary holds key:value pair. Key value is provided in the dictionary to make it more optimized. Each key-value pair in a Dictionary is separated by a colon :, whereas each key is separated by a ‘comma’.

A Dictionary in Python works similar to the Dictionary in a real world. Keys of a Dictionary must be unique and of immutable data type such as Strings, Integers and tuples, but the key-values can be repeated and be of any type.

dict1 = {
    'key1' : 'value1',
    'key2' : 'value2',
    'key3' : 'value3',
    ### Nested Dictionary
    'key4' : { 'A' : 'Welcome' , 'B' : 'To' , 'C' : 'Python'}
##### Let's see what we can do with Dictionary
print (dict1)                  ## print key and value of dict1
print (dict1.get('key1'))      ## print key1 value which is value1
dict1 ['key1'] = 'somevalue'   ## change key1 value to somevalue
dict1 ["key5"] = 'somevalue5'  ## Adding an item to the dictionary is done by using a new index key and assigning a value to it:
del dict1["key2"]                   ## remove key2 from dictionary
dict2 = dict1.copy()                  ## Copy Dictionary
#### We can loop over the key .
for x in dict1:                ## Print all key names in the dictionary, one by one:
#### Print all values in the dictionary, one by one:
for x in dict1:
#### You can also use the values() function to return values of a dictionary:
for x in dict1.values():
#### Loop through both keys and values, by using the items() function:
for x, y in dict1.items():
  print(x, y)
Source :

Python Fast Boot Camp , Calling Operating System Command , save result of OS command to variable.

In this bootcamp , we will look into how to get output from system call command and assign it to variable for later processing or output presentation.

We will use subprocess library

import subprocess

The subprocess module allows you to spawn new processes, connect to their input/output/error pipes, and obtain their return codes. This module intends to replace several older modules and functions.

The subprocess.Popen() class is responsible for the creation and management of the executed process. In contrast to the previous functions, this class executes only a single command with arguments as a list. This means that you won’t be able to pipe commands.

import subprocess
process = subprocess.Popen(['ls', '-l'],
stdout,stderr = process.communicate()
print (stdout.decode('utf-8'))

incode above we call Popen with command argument ls , -l .


Special value that can be used as the stdinstdout or stderr argument to Popen and indicates that a pipe to the standard stream should be opened.


Special value that can be used as the stderr argument to Popen and indicates that standard error should go into the same handle as standard output.

communicate() method to get the standard output and error in case as a tuple.

import subprocess
process = subprocess.Popen(['ls', '-l'],
stdout,stderr = process.communicate()
file = open ("test.txt" , "w")

Python For System Admin Fast BootCamp. Modifying file read and write and using regular expression.

In this tutorial fast boot camp for python for system admin , we will look into how to open , edit file and use regular expression for quickly replace text . useful for system admin.

File Modes in Python

‘r’This is the default mode. It Opens file for reading.
‘w’This Mode Opens file for writing.
If file does not exist, it creates a new file.
If file exists it truncates the file.
‘x’Creates a new file. If file already exists, the operation fails.
‘a’Open file in append mode.
If file does not exist, it creates a new file.
‘t’This is the default mode. It opens in text mode.
‘b’This opens in binary mode.
‘+’This will open a file for reading and writing (updating)

example of code how to open file in python.

  • File open to write :
# we are trying to write test.txt with some line .
file = open ("test.txt" , "w")
for i in range (10):
    file.write("Print this line number = %d n" % (i+1))
  • File open to read
# Lets try to open file test.txt that we previously wrote
file = open("test.txt" , "r")
for i in file.readlines():
    print (i)
 Print this line number = 1
 Print this line number = 2
 Print this line number = 3
 Print this line number = 4
 Print this line number = 5
 Print this line number = 6
 Print this line number = 7
 Print this line number = 8
 Print this line number = 9
 Print this line number = 10 

Python Regular Expression Tutorial

Please see this link for quick reference of regular expression.

List of Python re module .

The re module offers a set of functions that allows us to search a string for a match:

findallReturns a list containing all matches
searchReturns a Match object if there is a match anywhere in the string
splitReturns a list where the string has been split at each match
subReplaces one or many matches with a string

Let’s start with findall() . The findall() function returns a list containing all matches. Note : We will be using test.txt from example that we made earlier.

import re;
file = open ("test.txt" , "r" )
for i in file.readlines():
    result = re.findall (r"d+" , i)
    print (result)
this will print out the number 1 to 10 and d+ mean match any digit or numeric at least one or more

The search() Function

The search() function searches the string for a match, and returns a Match object if there is a match.If there is more than one match, only the first occurrence of the match will be returned:

import re
file = open ("test.txt", "r")
for i in file.readlines():
    result = (r"d+" , i)
    print (
This will print 1 - 10

The split() Function

The split() function returns a list where the string has been split at each match:

import re
file = open ("test.txt" , "r")
for i in file.readlines():
    result = re.split (r"s", i)
    print (result)
------------------- this will return
['Print', 'this', 'line', 'number', '=', '1', '', '']
 ['Print', 'this', 'line', 'number', '=', '2', '', '']
 ['Print', 'this', 'line', 'number', '=', '3', '', '']
 ['Print', 'this', 'line', 'number', '=', '4', '', '']
 ['Print', 'this', 'line', 'number', '=', '5', '', '']
 ['Print', 'this', 'line', 'number', '=', '6', '', '']
 ['Print', 'this', 'line', 'number', '=', '7', '', '']
 ['Print', 'this', 'line', 'number', '=', '8', '', '']
 ['Print', 'this', 'line', 'number', '=', '9', '', '']
 ['Print', 'this', 'line', 'number', '=', '10', '', '']

The sub() Function

The sub() function replaces the matches with the text of your choice:

import re
file = open ("test.txt" , "r")
result =
filew = open ("test.txt" , "w")
## We replace Print in test.txt to be New Print
result = re.sub(r"Print" , "New Print" , result)
## We replace number to blank
result = re.sub(r"d+" , "" , result)
## We replace number to Number
result = re.sub(r"number", "Number" , result )
this will result in file text
New Print this line Number =
 New Print this line Number =
 New Print this line Number =
 New Print this line Number =
 New Print this line Number =
 New Print this line Number =
 New Print this line Number =
 New Print this line Number =
 New Print this line Number =
 New Print this line Number =

Remember to use readlines() in a big file instead of read()

Check out next tutorial at :

Python 3 For System Admin

Learn to Code

If you’ve ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you?

In Automate the Boring Stuff with Python, you’ll learn how to use Python to write programs that do in minutes what would take you hours to do by hand-no prior programming experience required. Once you’ve mastered the basics of programming, you’ll create Python programs that effortlessly perform useful and impressive feats of automation to:

  • Search for text in a file or across multiple files
  • Create, update, move, and rename files and folders
  • Search the Web and download online content
  • Update and format data in Excel spreadsheets of any size
  • Split, merge, watermark, and encrypt PDFs
  • Send reminder emails and text notifications
  • Fill out online forms

Step-by-step instructions walk you through each program, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks.

Don’t spend your time doing work a well-trained monkey could do. Even if you’ve never written a line of code, you can make your computer do the grunt work. Learn how in Automate the Boring Stuff with Python.

Table of Content

Additional Content

About the Author

Al Sweigart is a software developer and teaches programming to kids and adults. He has written several books for beginners, including Scratch Programming PlaygroundCracking Codes with PythonInvent Your Own Computer Games with Python, and Making Games with Python & Pygame

Python Good Link


  • Official Python 3 Documentation – “official”/technical explanation of what a particular function/operator does, examples of correct syntax, what the various libraries are, etc.



  • Python Tutor – an excellent way to actually visualize how the interpreter actually reads and executes your code
  • DiffChecker – compares two sets of text and shows you which lines are different
  • Debugging in Python – steps you can take to try to debug your program


Other Q&A

  • Stack Overflow – a large Q&A forum for programming concepts (not just Python). Try searching here before you post on the edX forum, and you may find that someone has already answered your question.

More practice problems

  • Python Challenge – a series of puzzles you can try to test your Python abilities
  • Project Euler – additional programming challenges you can try once your Python knowledge becomes stronger; problems are sorted by increasing difficulty
  • Coding Bat – problems you can solve within an online interpreter
  • Codewars – improve your skills by training on real code challenges