Learn Python Online Training

Python is one of the limited languages which can require being both easy and important. It allows you to focus on the answer to the problem sooner than the language itself. The language presents and creates designed to enable writing clear plans on both in small and large scale.

Python stresses on a strong kind system and programmed logic control and holds multiple programming models, including object-oriented, imperative, functional programming, and procedural techniques.

It resulting in the most recommended Language for Data Analytics to increasing search trends on python also intimates that it is the “Near Great Job ” and a must for Professionals in the Data Analytics field.

Python guides are available for many operating methods, allowing Python language to work on a wide variation of systems. Python is, the source implementation of Python, it is open reference software and has an identity-based community model, as performs almost all of its alternative implementations.

Core/ Basic Python
  • Introduction to Python – technology –
  • Python – why only python? –
    • where it is used in Industry –
    • Organization specific uses –
    • project specific uses
    • IT corporates – applications of python
  • Python – Features of Python –
    • why it is used
    • advantages
    • kind of projects/applications –
    • Software Development Lifecycle (SDLC) –
    • where does python fit in  SDLC
  • Python – comparison of other technologies wrt python
  • Python’s Application in  the following :
    • software development –
    • software testing) –
    • other areas of IT Industry
    • open source software vs. paid software
  • Versions of python software:
    • PYTHON – 2.7.15 –(Industry Used mostly)
    • python – 3.7.1 –
  • Python tools/IDE –
  • What is an IDE,
  • Advantages of IDE over shell
  • Explanation of python shell (IDLE – default editor)
  • comparison of python shell vs. IDE
  • working from command prompt of python
  • Pycharm – community edition
  • Pycharm – professional edition
  • Language fundamentals:
  • Variables in Python
  • Print statement
  • Print statement with format
  • Print statement with %
  • Operations on python
    • +,-,*,/,%
  • Python Operators and Operands
    • Is , is not
    • Other operators – in and not in
  • How do we Read the Input from the User:
  • Input()
  • raw_input()
  • difference between input() and raw_input()
  • when to use input() and raw_input() in python 2.7 and python 3.7
  • Data types:
  • int()
  • numbers
  • Strings
  • Float
  • Bool
  • Type() function:
    • Examples on type()
  • String Operations:
    • Operations using string Handling – “”.format(), {}{}
    • Comments
    • Multiline comments
  • break()
    • break with if statement
    • break with for statement
  • continue()
  • pass()
  • when to use Break(), Continue and Pass
  • Examples of break(), continue and pass
  • Variable naming conventions
  • Python Conditional Statements
  • Simple if  condition
  • if with else condition
  • multiple if conditions
  • nested if conditions
  • Examples of the conditional statements
  • Python LOOPS –
    • for loop
    • for loop – complex examples
    • for loop with if
    • for loop with else
    • nested for loop
    • for loop with examples
  • Python – While loop
    • while loop with if condition
    • while loop with else statement
    • While loop with examples
  • String Handling methods
    • How to apply the string handling methods
    • Upper()
    • Lower()
    • Capitalize()
    • Title()
    • Isupper()
    • Islower()
    • Isspace()
    • Isalpha()
    • Isalnum()
    • Other methods (lstrip,rstrip)
  • example programs using string methods
  • Slicing with strings
    • positive slicing
    • Negative slicing
Sequences or Collections in PYTHON
  • Python Lists
    • applications of lists
    • examples of lists of various flavours
  • Slicing
    • positive slicing
    • negative slicing
  • Python TUPLE
    • applications of Tuples
    • examples of Tuples
    • Tuple Packing
    • Tuple Unpacking
    • various flavours
  • Differences between Lists and Tuples
  • Python Sets –
  • operations on sets
  • applications of sets
  • examples using sets
  • Python Dictionary –
  • operations on dictionary
  • applications of dictionary
  • examples using dictionary
  • Python Functions
  • Functions without return value
  • Functions with Return value
  • Calling  functions from the same file
  • Calling  functions from a different file
  • Functions which return more than one values
  • Python – Various types of functions
    • functions with parameters
    • functions  without parameters
    • functions with default arguments
    • functions with keyword arguments
    • functions with positional arguments
    • Documentation string
    • Special method (__doc__)
  • local scope and global scope in functions
    • How to create global variables
    • How to create local variables
    • Examples of local and global variables using functions
Advanced python course Topic: 1: Topic Name:
  • Python OOPs : classes
  • Objects
  • how to create class
  • how to create objects
  • how to create properties
  • how to create methods
  • how to work with properties
  • How to work with methods
  • Difference between functions and methods
  • What is Self-keyword?
    • how to use self,
    • What does self-keyword indicate?
  • How to create multiple objects for the same class
    • manipulate the properties/methods
  • How to know the memory location of an object reference.
Topic: 2 – Constructors – done
  • importance of self-keyword in python constructors
  • OOPs concepts (ex:inheritance)
  • use of default pre-defined classes,
  • use of user-defined classes,
  • pre-defined methods
  • user-defined methods
  • user-defined properties
Topic:3 – Modules (Pre-defined)
  • Python Modules
  • import keyword
  • pre-defined modules:
    • webbrowser
    • sys
  • math
  • datetime
  • date
  • time
  • various ways of importing modules
  • import using * notation
  • import using individual functions
  • import using “from “ syntax
    • from *** import ***
Topic: 4 – Modules (User-defined)
  • creation of user defined modules
  • operations with each of the modules
  • examples with each of the modules
Topic: 5 – Packages in Python
  • Diff between packages and modules
  • import package/module /sub-packages
Topic: 6 – File Handling
  • examples of how to create files
  • how to open files in various modes
  • how to work with files in real-time
Topic: 7 – python advanced exception handling –
  • collection of types of exceptions
    • syntax error,
    • Indentation error
    • typeerror,
    • valueerror
    • Nameerror,
    • dividebyzero error
    • Index Error
Topic: 8: examples of types of exceptions
  • how to handle types of exceptions
    • Try-Except- Finally
    • Try- Except-Else-Finally
  • comparison of exception handling with other technologies (like java)
Topic: 9 -Python Date and Time
  • operations using date and time
  • examples of programs using date and time
  • date time various switches
Topic: 10 – Python OS Module – (Linux people)
  • Creation of directory
  • Removing a directory
  • Current directory
  • Creation of multiple directories
  • Removing of multiple directories
  • Operations on directory

Course Features

Online Course Duration Course Duration : 40 Hrs

Highly interactive, reliable and quality learning sessions of the course are conducted by oIIT. For a better learning experience, the courses are divided into distinctive phases and sessions.

Realtime Project Work Realtime Project Work

Every module shall be followed by a practical experience of lab exercises. At the end of the course, the students will have to build a project on the concepts that were taught to them during the course duration.

Access Duration Life time Access Duration: Lifetime

Students will have a life time access to the course materials provided by oIIT. Students also have an opportunity to decide the duration of the course as per their schedule and convenience.

24x7 Support 24 X 7 Support

Concerned faculty can be contacted by the students if they are looking for help and assistance with respect to the course and its material. Students can approach their respective faculty to clear their quires either by email, phone or through live chat.

Online Course Certification Get Certified

At the end of the course, students will have to fare well in quizzes and testes conducted by the institute and the faculty in order to receive the required certification. To clear the Certification test with flying colours, students will be given model questions and certification dumps that would make them confident about attempting the test to get their Certification.

Placement Assistance Job Assistance

oIIT will help students find job opportunities with the newly acquired skill set. oIIT has a varied bunch of Clientele around the globe, over 30+ companies in USA and India that have experience in working with different technologies. We would pass your resumes to them after the completion of the course and ensure that the students achieve 100% placements. During the testing and interview process for them, the required assistance shall be provided by oIIT.

Course Fees

  • 40 hours each
  • 5 hours per week (1 hour per day)
  • weekdays (1 hours each) or weekend (2.5 hrs each)
  • 1 on 1 = Rs. 17,000/-(around USA $250)
  • 1 on 2 = Rs. 24,000/-(per person 12,000)(per person around USA $175)
  • 1 on 3 = Rs. 30,000/-(per person 10,000)(per person around USA $150)
  • flex time exchange for limited time

Schedule 30 Minutes Free Demo Instructor.