Python Tutorials For Beginners and Professionals

Python Tutorials For Beginners and Professionals

Python Tutorials For Beginners and Professionals

In this Python Tutorials For Beginners and Professionals article series, we are going to cover all the basic and advanced concepts of Python using simple as well as real-time examples

This Python Tutorial is For whom?

This Python Tutorial is designed for students, beginners as well as professional developers who want to learn Python step by step from the very basic to the advanced concept using real-time examples. These tutorials provide a hands-on approach to the subject with step-by-step program examples that will assist you to learn and put the acquired knowledge into practice.

What you will learn from this Python Tutorials?

You will learn the followings in this Python Tutorials.

CHAPTER 1: Introduction to Python

  – What is python?
  – Why the name Python?
  –  History
  – Versions
  – Why python?
  – Interpreter
  – Keywords
  – Flavors

CHAPTER 2: Coding Instructions

– Installation procedure
– Different ways to write a python program
– Execution steps and process
– Understanding a simple program
– Program execution flow
– Python Virtual Machine
– Examples

CHAPTER 3: Naming conventions

– Why naming conventions
– Identifiers and rules
– Validating identifier names with examples
– Identifiers in a table
– Smart suggestions while writing identifiers
– Indentation and Comments
– Programs

CHAPTER 4: Variables

– What is variable?
– Properties of variable
– Creating variable
– Invalid cases for variables
– Multiple variables in n single line
– Single value for multiple
– Variable re-initialization
– Programs

CHAPTER 5: Data types

– What is data type?
– Different types of data types
– Built-in data types
– Sequences in Python
– Accessing range values
– User defined data types
– Converting from one data type into another data type.
– Programs

CHAPTER 6: Operators

– What is an operator?
– Different type of operators
– Arithmetic Operators
– Assignment operator
– Unary minus operator
– Relational operators
– Logical operators
– Membership operators
– Identity operators
– Programs

CHAPTER 7: Input and Output

– Why should we learn about input and output?
– Input and output
– Convert from string to type into other type
– eval() function
– Command line arguments
– IndexError
– len() function
– Programs

CHAPTER 8: Flow Control

– Why should we learn about flow control?
– Flow control
– Sequential flow
– Conditional flow
– Looping flow
– Sequential statements
– Conditional or Decision-making statements
– Where loops with else block flow is helpful?
– Break statement
– Continue statement
– Pass statement
– Return statement
– Programs

CHAPTER 9: Strings

– What is a string?
– Defining a String
– Multi-line string objects
– Empty string
– Ways to access a string
– Slicing
– Immutability
– Operations on Strings
– Membership operators
– Comparing strings
– Some predefined methods with strings

CHAPTER 10: Function

– Use of functions
– What is Function?
– Advantage of function
– Types of function
– Pre-defined or built-in functions
– Function related terminology
– Defining a function
– Calling a function
– Return keyword in python
– Returning multiple values from function
– Functions are first class objects
– Arguments types
– Types of variables
– The global keyword
– Anonymous functions or Lambdas and advantages
– Use Cases for lambda functions
– Decorators and related concepts
– Generators
– Programs

CHAPTER 11: Modules and Packages

– What is a module?
– Renaming or aliasing a module
– dir() function
– Programs
– What is a package?
– Advantage
– Programs

CHAPTER 12: Lists

– Python Data structures
– Sequence of elements
– Introduction
– Creating list
– Difference between list() function and list class
– Mutability
– Accessing elements in list
– Important functions and methods in list
– Difference between append and insert
– Difference between remove() and pop() methods
– Ordering elements of List:
– Aliasing and Cloning of list objects
– Mathematical + and * operators
– Comparison of lists
– Membership operators
– Nested Lists
– List comprehensions

CHAPTER 13: Tuples

– What is tuple data structure?
– Different ways to create a tuple.
– Accessing elements of tuple
– Tuple vs immutability
– Important functions and methods of Tuple:
– Tuple packing
– Tuple unpacking:
– Tuple comprehensions
– Differences between List and Tuple
– Programs

CHAPTER 14: Sets

– What is the set data structure?
– Creating a set
– Difference between set() function and set class
– Important function and methods of set:
– Mathematical operations on the Set
– Membership operators
– Set Comprehension
– Remove duplicates in list elements
– Frozen set
– Creating frozen set
– Programs

CHAPTER 15: Dictionaries

– What is a dictionary?
– Create dictionary
– Access values by using keys from dictionary
– Handling errors
– Important functions and methods of dictionary
– Dictionary Comprehension
– Programs


– Before OOPS
– After OOPS
– Features of OOPs
– Class
– How to define a class
– Object
– Why should we create an object?
– Syntax to create an object
– Calling instance data
– Constructor
– Difference between methods and constructor
– Types of Variables
– Accessing variables
– Instance Variable vs Static Variable
– cls variable
– @staticmethod declarator
– Where can we access local variable
– Types of methods
– @classmethod decorator
– Programs

CHAPTER 17: Inheritance

– What is inheritance
– Advantage
– Implementation
– Types of Inheritance:
– Scenarios
– Constructors in Inheritance
– Method Resolution Order (MRO)
– super() function
– Different cases for super() function
– Programs

CHAPTER 18: Polymorphism

– What is Polymorphism
– Duck Typing Philosophy of Python
– Overloading
– Types of Overloading
– Operator Overloading:
– Magic methods
– List of operators and corresponding magic methods.
– Method Overloading
– How we can handle overloaded method requirements in Python
– Constructor Overloading
– Constructor with Default Arguments
– Constructor with Variable Number of Arguments
– Method overriding:
– Demo Program for Method overriding
– Constructor overriding
– Programs

CHAPTER 19: Abstract classes and Interfaces

– Introduction
– Implemented method
– Un-implemented method
– Declaration
– Abstract method
– Abstract class
– Abstract class object creation
– Different cases and scenarios
– Interface
– What is an interface?
– str (self) method
– Programs

CHAPTER 20: Exception Handling

– Syntax Errors
– Programmer responsible
– Runtime Errors
– Normal flow of the execution
– Abnormal flow of the execution
– What is an Exception?
– Is it really required to handle the exceptions?
– What is the meaning of exception handling?
– Default Exception Handling in Python:
– Exception hierarchy diagram
– Programmer focus
– try except block
– Control flow in try and except
– Cases and scenarios with examples
– Printing exception information
– finally block
– Control flow about finally block
– Cases and scenarios with examples
– Control flow in try-except-finally
– Nested try-except-finally blocks
– Cases and scenarios with examples
– Various possible combinations of try-except-else-finally
– Types of Exceptions
– Predefined Exceptions
– User Defined Exceptions
– Steps to follow to Define and Raise Customized Exceptions
– Programs

CHAPTER 21: Files

– What is a file
– Types of Files
– Text files
– Binary Files
– File modes and their meanings
– Opening a File
– Various properties of File Object
– Writing data to text files
– Reading Character Data from text files
– The seek() and tell() methods
– Program to print the number of lines, words and characters present in the given file?
– Working with Binary h data
– Working with csv files
– Zipping and Unzipping
– ol Files
– To create Zip file
– To perform unzip operation
– Working with Directories
– Pickling and Unpickling of Objects
– Programs

CHAPTER 22: Regular Expressions

– What is Regular expression?
– The main important application areas of Regular Expressions are
– Character classes
– Predefined Character
– Important functions of re module
– Programs

CHAPTER 23: Logging Module

– Why is Logging required?
– What is Logging
– Advantages of logging
– Logging module
– How to implement Logging
– Writing Python program exceptions to the log file
– Problems with root logger
– Need of Our own customized logger
– Features
– Advanced logging Module
– Steps for Advanced Logging
– Demo Program for File Handler
– Programs


There are no prerequisites required to learn Python as we are going to start from very basics. If you have any experience of any programming languages such as C, Java, C#, then it will be good for you, but it is not mandatory as we are going to explain each concept in detail.

Note: If we missed any topics in this Python Course, then please let us know by giving a comment in the Comment Box and we promise as soon as possible we will publish articles on that topic in this Python Tutorials For Beginners and Professionals course. 

About Author: 

Ruhan Sharief Shaik is working as a software developer | Freelancer | Python Developer. Linkedin Profile.

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