Python Programming Fundamentals: A Beginner’s Guide [Updated 2020]

Python is one of the powerful, high-level, easy to learn programming language that provides a huge number of applications. Some of its features, such as being object-oriented and open source, having numerous IDE’s, etc. make it one of the most in-demand programming languages of the present IT industry.

According to TIOBE index, as of January 2020, Python is one of the popular programming languages. By looking at the popularity of this programming language, many IT professionals, both beginners as well as experienced alike, are willing to build their career as a  Python developer.

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Many people have daunting questions like:

  • How one can start to learn Python?
  • What are the fundamental concepts you need to know to learn Python?

With an aim to help similar concerns, Simpliv is presenting this blog to discuss about the various fundamental concepts of Python programming and take you along to start writing Python programs on your own.

Without further ado, let us quickly look at the topics we will be covering in this blog:

  • How to install Python
  • Basic syntax
  • Python identifiers
  • Python reserved words
  • Indentation
  • Quotations in Python 
  • Comments in Python
  • Using Blank lines
  • Constructs
  • Python Variables
  • Python Data Types.

Let us look at the 8 Steps to install Python

Let us start by learning the steps to install Python. The following are the steps need to be followed while installing Python on Windows:

Step 1:

Download python.exe or zip bundle from Python official website https://www.python.org/downloads/windows/.

Step 2:

Select Downloads and download python.exe file for Windows.

Step 3:

Once the installer is downloaded, run the Python installer. Check on Install launcher for all users.

Step 4:

Select Customize installation. Check on all settings Document, pip, tcl/tk, python test suite, py launcher, for all users. Click on Next.

Step 5:

This takes you to Advanced Options available while installing Python. Here, select the Install for all users and Add Python to environment variables check boxes.

Step 6:

Once installation is done, you can see that the installation is successful.

Step 7:

Add Environment variables to run Python in Windows. 

In the Start menu, search for “advanced system settings”. Select “View advanced system settings”. In the “System Properties” window, click on the “Advanced” tab and then click on the “Environment Variables” button.

Locate the Python installation directory on your system. If you followed the steps exactly as above, Python will be installed in below locations:

  • C:\Program Files (x86)\Python37-32: for 32-bit installation
  • C:\Program Files\Python37-32: for 64-bit installation.

Step 8: Verify Python Installation

You have now successfully installed Python 3.8.1 on Windows. You can verify if the Python installation is successful through the command line.

Search for the command prompt and type “python”. You can see that Python 3.8.1 is successfully installed.

Basic syntax to write a Python program

Once you have installed Python software successful into your system, you can start writing Python program in the command prompt.

Python has many similarities and differences with other programming languages such as Perl, C, and Java, etc. Let us discuss the basic syntax to write a Python programming language.

Python provides two ways to run a program, and they are:

  • Using Interactive interpreter prompt
  • Using a script file.

We will discuss both of these separately in detail. Here in the below discussion, we will write a program to get the output as Hello world

Two Ways To Write A Python Program

  • Using interactive interpreter prompt:

Using interactive prompt, users can execute the Python statement one by one. This mode of execution is preferred where the users are concerned about the output of each line of the Python program.

In Python3 print() function is used to print the message in the console. It is one of the standard functions used to print the output to the console.  

Invoking the interpreter without passing a script file as a parameter brings up the following prompt –

Python 3.8.1 (tags/v3.8.1:1b293b6, Dec 18, 2019, 22:39:24) [MSC v .1916 32 bit (Intel)] on win32
Type “help”, “copyright”, “credits”, or “license” for more information.

Type the following text at the Python prompt and press Enter –

print (“Hello world”)

Now you will get the output as:

Hello world

In this program, we are using built-in print() function to print the string Hello world as the output. String is a sequence of characters and in Python they are enclosed inside single quotes (‘’) , double quotes(“ ”) or in triple quotes(“””   “””).

If you want to print a list of five colors, you can write the program in the Python prompt as follows:

Red Blue Yellow Orange Saffron

print (“Red”)                               # prints Red as the output       

print (“Blue”)                             # prints Blue as the output

print (“Yellow”)                        # prints Yellow as the output

print (“Orange”)                       # prints Orange as the output

print (“Saffron”)                        # prints Saffron as the output

Now you will get output as:

Red Blue Yellow Orange Saffron






  • Using a script file:

The program can be written in a script. Python files have extension .py. You can write the code in a file and that can be executed later. Users can write the code using the editor and then save it with .py extension. For example, you can save the file with the extension myfirstprogram.py

To print Hello world we can write the code Print (“Hello world”);

In order to rub this myfirstprogram.py file, we need to run the command $ python3 first.py on the terminal.

Now the output message displays as Hello world on the console.

Python Constructs

Now let us see some useful Python Constructs that provide a better idea of structure of Python code.

Learn Python Constructsh
  • Functions
  • Classes
  • Modules
  • Packages
  • Lists.

1. Functions:

In Python programming language a function is referred to as a collection of statements grouped under a name. You can use it whenever you there is a need to execute all those statements at a time. You can call the function as many times as you want it in your program. Function may return a value.

2. Classes:

Python is an Objected Oriented programming language. This language supports classes and objects. A class is an abstract data type. An object is a real world entity and an instance of a class.

3. Modules:

A collection of related classes and functions can be called as a module. These are some of the different types of modules:

  • mathematical calculations
  • string calculations
  • web programming, etc.

4. Packages: Python package is a collection of related modules. Developers can either import a package or can develop their own.

5. Lists: Lists can be a collection of values. They are declared in the CSV (Comma Separated Values) format and enclosed in square brackets.

Python identifiers:

Python identifier is a name that is used to identify a variable, function, class, module or other object. It helps to differentiate one entity from another.

Some of the rules for writing identifiers are as follows:

Did You Know?: “Python is a case-sensitive language. In Python myname and Myname are not the same.”

  • The first character of the variable should be an alphabet or underscore (_)
  • Identifiers can be a combination of letters. They can be written in lower case (a to z) or upper case (A to Z) or in digits (0 to 9) or an underscore(_). For example: Names like myFirstprogram, var_1, display_this_on_screen etc.
  • Identifiers must not contain any white space or special characters (!, @, #, %, ^, &, * )
  • Keywords cannot be used as identifiers
  • Identifiers can be of any length.

Python Reserved words (Python keywords)

Python keywords are the reserved words. These keywords are used to convey a special meaning to the compiler/interpreter. Keywords cannot be used as a variable name, function name or any other identifier.

Did You Know?: “Python 3.7 has 33 keywords and the number can vary slightly in coming days.”

All the keywords in Python are lowercase except True, False and None.

The following table gives the list of keywords used in Python.

True False None and As
assert break Continue for Lambda
try from Nonlocal while Del
global not With elif If
or yield Assert else Import
pass break Except in Raise
finally is Return    

The above table provides a list of keywords. However, the list may get vary according to different Python versions. You can type the following in the prompt to get the list of all the available keywords in the current version of Python being used.

import keyword

print (keyword.kwlist)

Now you will get the output of all the available keywords in your Python version.


Some of the programming languages such as Java, C, etc. use braces { } to define the block of code. But Python uses indentation.

The number of spaces is variable, but it should be noted that all the statements within the block must be indented the same amount. The usage of indentation makes the Python code look neat and clean.

Generally, four whitespaces are used for indentation and that is preferred over using tabs. The following code is an example of indentation:


if True;
   print “True”;
   print “False”

Incorrect indentation will result in IdentationError

Quotation in Python

To denote string literals Python accepts single (‘), double (‘’), triple (‘’’) quotes as long as the same type of quote starts and ends the string.

The below example shows how to use quotations in Python.

single_quotation ‘word’
double_quotation “Python is a powerful programming language”
triple _quotation “””Python is a powerful programming language. It is open-source, and object oriented programming language”””

Comments in Python

Comments play a very important role while writing a program. It describes the program to the user so that they can easily understand the program.

In Python hash (#) is used to start writing a comment. The interpreter does not interpret the comment.

Python supports two types of comments. They are:

Learn Comments In Python
  1. Single Line Comment.
  2. Multi-Line Comment.

1. Single Line Comment:

Single Line Comment starts with ?#?

The following program has single line comment.

Once the above program is executed, we  get the following output:       

This program has single line comment

print (“Hello world”);                 #print Hello world as output

Hello world

Here you can note that only the output Hello world is displayed on the console as the output and the above comment written with # tag is not displayed.

2. Multi-Line Comment:

Developers can write multiple lines of comments to their code. It can be done in two ways. They are:

  • By using # tag before start of each line of comment
  • By using triple comment at the start and at the end of the comment.

We will see a program example for these types below.

  • Using # tag:

Once the above program is executed, we  get the following output:

Hello world

Here in the above output, you can note that only Hello world is displayed on the console as the output and the above comments written with # tags are not displayed.

  • Using triple quotes:

# This is first comment line

# This is second comment line

# This is third comment line

print (“Hello world”);

“””This program has



”Print (“Hello world”);

Once the above program has been executed, we get the following output:

Hello world

Here, you can note that only the output Hello world is displayed on the console as the output and the above comment given using triple quotes is not displayed.

Using Blank Lines

In Python, a line containing only whitespaces, possibly with a comment, is treated as a blank line and Python totally ignores it.

Python Variables:

The names that are used to refer memory locations are called variables. These are nothing but the reserved memory locations to store values. They are also known as identifiers and are used to hold value.

In Python, the interpreter allocates memory based upon the data type of a variable and decides what can be stored in the reserved memory.

Variable names can be a group of both letters and digits. These names have to start with a letter or an underscore.

The following is an example for a variable.

number  = 30

Here in this above example, we have created a variable named number and assigned value of 30 to it. Variable can be understood as a container that is used to hold numbers.

Now let us see how to assign a value to a variable.                  

In Python programming language, there is no need to give an explicit declaration to reserve memory space. The declaration is done automatically whenever you assign a value to a variable.

  Python is a type inferred language; it means Python can automatically understand the variable type.

The (=) operator variable is used for assigning value to a variable. The operand to the left of the operator (=) is the name of the variable and operand to the right of the operator (=) is the value stored in the operator.

The following program is an example of how to assign values to a variable.

a = 10                                                     # An integer assignment
Designation=”Python Developer”;              # Name of Job designation
salary = “$113,878 peryear”                     # Salary of the employee
print (a);                                                # prints values assigned to a
print (Designation);                                 # prints values assigned to Designation
print (salary);                                         # prints values assigned to salary

Here a, designation and salary are the variables and 10, Python Developer and $113,778 per year are the values to them respectively.

Variables Values
a 10
Designation Python Developer
salary $113,878

The output of the above program will be:


Python Developer

$113,778 per year

Multiple assignment

Python programming language allows the developers to assign values to multiple variables in a single statement that is also known as multiple assignment.

Multiple assignment can be applied in two ways: assigning single value to multiple variable or assigning multiple values to multiple variables.

We will see programmatically how multiple assignments are done in two ways.

1. Assigning single value to multiple variables

print (a);                                                # prints the value assigned to a
print (b);                                                # prints the value assigned to b
print (c);                                                 # prints the value assigned to c

The output of this programming will be as below:




Here all the three variables a, b, c have been assigned a single value i.e. 10.

2. Assigning multiple values to multiple variables

a, b, c = 10, 20, 30
print (a)                                                    # prints the values assigned to variable a
print (b)                                                    # prints the value assigned to variable b
print (c)                                                    # prints the value assigned to variable c

The output for the above program will be as follows:




Here the integers objects with values 10, 20, 30 are assigned to variables a, b, c respectively.

Variables Values
a 10
b 20
C 30

Python Data Types

Each value of Python has a data type. Variables can hold values of different data types. Python allows the developers to check the type of the variable used in the program. For this, it provides the developers a function called type(). This function returns the type of the variable passed.

The following program shows the values of different data types and checks its type.

a= “Python developer”;  
c= 50.6                                                           The Output of this program will be as follows:
  print (type(X));                                           <class ‘int’>
  print (type(a));                                           <class ‘str’>
  print (type(c));                                           <class ‘float’>

Now we will look into some of the Data Types used in Python.

There are various Data Types are used in Python. Some of them we have listed below:

Learn Data Types In Python
  • Numbers
  • Strings
  • List
  • Tuple
  • Dictionary
  • Set

Let us discuss now each of these Data Types in detail.

  • Numbers:

Number Data Types is used to store numeric values. Number objects are created whenever a value is assigned to them.

x = 10;        # x is the number object
y = 20;       # y is the number object

Python supports 4 different types of numeric data.

int signed numbers such as 10, 20, 30, etc.
long long integers used for higher range values like 535633629843L, -052318172735L, etc.
float floating point is used to store floating point numbers like 15.20, -21.9. etc.
complex complex numbers like 3.14J, 45.j, etc.

Important Note:

  • Python allows user to use lower-case l to be used with long integers. But it is good to always use an upper case L to avoid confusion.
  • A complex number contains an ordered pair, i.e, x+yj where x denotes the real part and y denotes imaginary part.
  • Strings:

String are the sequence of characters that can be represented in either single or in double quotes.

In Strings (+) symbol is a single concatenation operator and the asterisk (*) is the repetition operator.

The following program shows string handling in Python.

str1 = (“Hello Python”);           # string str1
str2 = (“Test program”);          # string str2
print (str1);                                # Print the complete string1
print (str2);                                #print the complete string2
print (str1+str2);                      # Prints concatenation of str1 and str2
print (str1[0:2]);                       # Print first two character using slice operator
print (str2*2);                            # This prints str2 two times

The output of the above program is as follows:

Hello Python

Test program

Hello PythonTest program


Test programTest program

  • Lists

Lists are used to store different types of elements. It is one of the most used Data Types in Python. There is no need that all the items in a list should be of the same type. The items stored in lists are separated by commas and are enclosed within square brackets.

The slice operator ([] and [:]) are used to access the data of the list. The (+) is used for concatenation operator and asterisk (*) is used for repetition operator.

The following program shows how the lists Data Types works in Python.

list = [300, 786, ‘project’, ‘computer’]
tinylist = [100, ‘company’]
print (list)                                           #prints the complete list
print (list[0])                                     #prints the first elements of the list
print (list[2:])                                    #prints elements starting from 3rd element
print (tinylist*2)                               #prints tinylist two times
print (list+tinylist)                           #prints concatenation of list and tinylist

The output for the above program will be as follows.

[300, 786, ‘project’, ‘computer’]


[‘project’, ‘computer’]

[100, ‘company’, 100, ‘company’]

[300, 786, ‘project’, ‘computer’, 100, ‘company’]

  • Tuple:

A Tuple is another sequence of Data Type similar to that of Lists. A Tuple consists of values separated by commas, and are enclosed within parenthesis.

A Tuple is read-only data structure and their size and value of the items in it cannot be modified.

The following program shows the example of Tuple.

tuple = (123, 100, 786, ‘Python’, 20.5)

tinytuple = (200, ‘hi’)

print (tuple)                                     # prints all the values from the tuple

print (tuple[0])                               # prints the first element of the tuple

print (tuple[2:])                              # prints the element starting from the third element

print (tinytuple * 2)                      # pritns the tinytuple two times

print (tuple+tinytuple)                 # prints the concatenation of tuple and tinytuple

           The output of the above program will be as follows:

(123, 100, 786, ‘Python’, 20.5)


(786, ‘Python’, 20.5)

(200, ‘hi’, 200, ‘hi’)

(123, 100, 786, ‘Python’, 20.5, 200, ‘hi’)

  • Dictionary

Dictionary is an ordered set of a key-value pair of items. They are a kind of hash table type. The items in the Dictionaries are enclosed by curly braces and they are separated by commas. The values can be assigned and accessed using square braces ([]).

The following programming example shows the how Dictionary works in Python.

d = {1:’Python’, 2: “Developer”; 3:”High demand”};

print (“This programming language is ” + d[1]);

print (“He is good ”+ d[2]);

print (d); print (d.keys());

print (d.values());                           

The above program gives the below output:

This programming language is Python

He is good Developer

{1: ‘Python’, 2: ‘Developer’, 3:’High demand’}


dict_values([‘Python’, ‘Developer’, ‘High demand’])

  • Set

Set is used to store the elements of different Data Types. The items in the set consists of values separated by commas enclosed in braces. Items in the set are not ordered.

The following program is the example of set:

>>> a = {1,2,3}
>>> a

Output of the above program:


It returns only one instance of any value that is present more then once.

The following program is the example for this.

>>> a {5,6,6,7}
>>> a

The output of the above program will be:



We hope this blog is successful in providing our readers some valuable information about the fundamental concepts of Python programming and also to know how to write a simple Python program.

In the next blog we will be discussing some more valuable concepts that we believe can be of great help to you.

If you think this guide on “Python Programming Fundamentals” has been successful in helping to find relevant information about Python, we request you to share it with your circles, so that it can reach to someone who is looking for similar kind of information.

10 Key Takeaways

1. Python provides two ways to write a program. They are: Using Interactive interpreter prompt and Using a script file.

2. The first character of a variable should be an alphabet or an underscore (_).

3. Hash (#) tag is used to start writing a comment. The interpreter does not interpret the comment.

4. Python supports two types of comments. They are: Single-Line comment and Multi-Line comment.

5. Python is a type inferred language: it means Python can automatically understand the language.

6. Python developers can use the function type() to check the variable type.

7. Strings are the sequence of characters that are either represented in single quotes or double quotes.

8. Keywords cannot be used as variables name, function name or any identifier.

9. All keywords in Python are lower care except True, False and None.

10. Number Data Types are used to store numeric values. Number objects are created whenever a value is assigned to them.

Originally posted here.

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Comment by Martin Storey on March 16, 2020 at 2:46pm
  1. Python is a type inferred language:it means Python can automatically understand the data type.

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