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Python Online Course

Python Online Course

Turn your dream into reality by ITGuru live experts with real-world use cases through practical knowledge on python online course and become the certified in python programming and become a master in python programming

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30
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25
Assignments
2
Projects

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Course Overview

ITGuru provides the hands-on experience of python programming language by live experts through python online course. This institute initiates the training with the need for python course and then moves with the application of python programming on different tools and platforms in the IT industry today. Furthermore, the ITGuru Python scripting course moves with the comparison of the python language course, when compared to the other programming languages like JAVA and R. Throughout the python certification course, trainers will know each and every concept of python programming through online practically.Furthermore, this python online course certification lets you know the need and application of each python library in the real-world industry. This python full course was designed in such a way that even a newbie to the python programming language can easily become a master in python programming. This google python course gives you the complete practical knowledge on python program functioning practically with real-world use cases by experts. After getting a master’s in python library utilization and creation of own python library, ITGuru python certification course moves with the utilization of these frameworks in different AI techniques like machine learning, deep learning, and other platforms in the IT platforms practically. This python learning course is designed to clear python certification.

Python Online Course Objectives

What are the prerequisites to learn Python Online Course?

There are nothing many prerequisites required to enroll for python online course. It’s good if the candidate has the basic knowledge on python programming
Who can learn Python Programming?

There are no such criteria regarding the enrolment for python certification. A basic degree is enough to enroll for python online course
Why should you enroll for Python Programming Online?

It the trending programming language for developing an application in IT industry today. This is a preferred programming language due to low code and high performance
What do you learn in Python Certification Course ?

In this python full course, you will be getting hands-on experience on python programming and its application in various platforms
What are the benefits of Python Scripting Course?

Soon after the completion of the course, you will be knowing application of different python programming concepts and it becomes a cakewalk to develop the applications

Python Classes Key Features

Lifetime Access

You get lifetime access to the Learning Management System (LMS) where presentations, assignments, and installation guide through python programming.
Assignments

Trainers will assign some assignments soon after the completion of each and every topic that makes you master in the course and also helps you to clear Certification
Real-life Case Studies

ITGuru trainers teach you each and every topic with real-world case studies that makes the learner understand in a better way
24 x 7 Support

We have 24x7 online support team to resolve all your queries.
Certification

IT Guru team has designed the course in the way to clear Certification as per the latest syllabus to make your dream come true
Job Assistance

IT Guru supports learners in finding job opportunities with the newly acquired skill set. Online IT Guru has a varied bunch of Clientele around the globe, over 200+ companies in various countries like the USA and India. Soon after the completion of the course, the support team will pass your resumes to the companies and ensure that the learners will achieve 100% placements.

Python Training Course Syllabus

Chapter 01–Introduction to Python
- What is Python?
- Why Python?
- History
- Features – Dynamic, Interpreted, Object oriented, Embeddable, Extensible, Large standard libraries, Free and Open source
- Why is Python General Language?
- Limitations of Python
- What is PSF?
- Python implementations
- Python applications
- Python versions
- PYTHON IN REALTIME INDUSTRY
- Difference between Python 2.x and 3.x
- Difference between Python 3.7 and 3.8
- Software Development Architectures
Chapter 2 – Python Software’s
- Python Distributions
- Download &Python Installation Process in Windows, Unix, Linux and Mac
- Online Python IDLE
- Python Real-time IDEs like Spyder, Jupyter Notebook, PyCharm, Rodeo, Visual Studio Code, ATOM, PyDevetc
Chapter 3 – Python Language Fundamentals
- Python Implementation Alternatives/Flavors
- Keywords
- Identifiers
- Constants / Literals
- Data types
- Python VS JAVA
- Python Synta
Chapter 4 – Different Modes of Python
- Interactive Mode
- Scripting Mode
- Programming Elements
- Structure of Python program
- First Python Application
- Comments on Python
- Python file extensions
- Setting Path in Windows
- Edit and Run Python program without IDE
- Edit and Run Python Program Using IDEs
- INSIDE PYTHON
- Programmers View of Interpreter
- Inside INTERPRETER
- What is Byte Code in PYTHON?
- Python Debugger
Chapter 5 – Python Variables
- bytes Data Type
- byte array
- String Formatting in Python
- Math, Random, Secrets Modules
- Introduction
- Initialization of variables
- Local variables
- Global variables
- ‘global’ keyword
- Input and Output operations
- Data conversion functions – int (), float (), complex (), str (), chr (), Ord ()
Chapter 6 – Operators
- Arithmetic Operators
- Comparison Operators
- Python Assignment Operators
- Logical Operators
- Bitwise Operators
- Shift operators
- Membership Operators
- Identity Operators
- Ternary Operator
- Operator precedence
- Difference between “is” vs “==”
Chapter 7 – Input & Output Operators
- Print
- Input
- Command-line arguments
Chapter 8 – Control Statements
- Conditional control statements
- If
- If-else
- If-Elif-else
- Nested if
- Loop control statements
- for
- while
- Nested loops
- Branching statements
- Break
- Continuing
- Pass
- Return
- Case studies
Chapter 9 – Data Structures or Collections
- Introduction
- Importance of Data structures
- Applications for Data structures
- Types of Collections
- Sequence
- Strings, List, Tuple, Range
- Non sequence
- Set, Frozen set, Dictionary
- Strings
- What is string
- Representation of Strings
- Processing elements using indexing
- Processing elements using Iterators
- Manipulation of String using Indexing and Slicing
- String operators
- Methods of String object
- String Formatting
- String functions
- String Immutability
- Case studies
Chapter 10 – List Collection
- What is List
- Need for List collection
- Different ways of creating List
- List comprehension
- List indices
- Processing elements of List through Indexing and Slicing
- List of object methods
- List is Mutable
- Mutable and Immutable elements of List
- Nested Lists
- List of lists
- Hardcopy, shallow Copy and Deep Copy
- zip () in Python
- How to unzip?
- Python Arrays:
- Case studies
Chapter 11 – Tuple Collection
- What is tuple?
- Different ways of creating Tuple
- Method of Tuple object
- Tuple is Immutable
- Mutable and Immutable elements of Tuple
- Process tuple through Indexing and Slicing
- List v/s Tuple
- Case studies
Chapter 12 – Set Collection
- What is set?
- Different ways of creating set
- Difference between list and set
- Iteration Over Sets
- Accessing elements of set
- Python Set Methods
- Python Set Operations
- Union of sets
- functions and methods of set
- Python Frozen set
- Difference between set and frozen set?
- Case study
Chapter 13 – Dictionary Collection
- What is dictionary?
- Difference between list, set and dictionary
- How to create a dictionary?
- PYTHON HASHING?
- Accessing values of dictionary
- Python Dictionary Methods
- Copying dictionary
- Updating Dictionary
- Reading keys from Dictionary
- Reading values from Dictionary
- Reading items from Dictionary
- Delete Keys from the dictionary
- Sorting the Dictionary
- Python Dictionary Functions and methods
- Dictionary comprehension
Chapter 14 – Functions
- What is Function?
- Advantages of functions
- Syntax and Writing function
- Calling or Invoking function
- Classification of Functions
- No arguments and No return values
- With arguments and No return values
- With arguments and with return values
- No arguments and with return values
- Recursion
- Python argument type functions
- Default argument functions
- Required (Positional) argument’s function
- Keyword argument’s function
- Variable arguments functions
- ‘pass’ keyword in functions
- Lambda functions/Anonymous functions
- map ()
- filter ()
- reduce ()
- Nested functions
- Nonlocal variables, global variables
- Closures
- Decorators
- Generators
- Iterators
- Monkey patching
Chapter 15 –Advanced Python Modules
- Importance of modular programming
- What is module
- Types of Modules – Predefined, User defined.
- User defined modules creation
- Functions based modules
- Class based modules
- Connecting modules
- Import module
- From … import
- Module alias / Renaming module
- Built In properties of module
Chapter 16 –Packages
- Organizing python project into packages
- Types of packages – predefined, user defined.
- Package v/s Folder
- Py file
- Importing package
- PIP
- Introduction to PIP
- Installing PIP
- Installing Python packages
- Un installing Python packages
Chapter 17 –OOPs
- Procedural v/s Object oriented programming
- Principles of OOP – Encapsulation, Abstraction (Data Hiding)
- Classes and Objects
- How to define class in python
- Types of variables – instance variables, class variables.
- Types of methods – instance methods, class method, static method
- Object initialization
- ‘self’ reference variable
- ‘Cls’ reference variable
- Access modifiers – private (__), protected (_), public
- AT property class
- Property () object
- Creating object properties using setaltr, getaltr functions
- Encapsulation (Data Binding)
- What is polymorphism?
- Overriding
- 1. i) Method overriding
  2. ii) Constructor overriding
  - Overloading
  1. i) Method Overloading
  2. ii) Constructor Overloading
  iii) Operator Overloading
- 1. i) Method overriding
  2. ii) Constructor overriding
  - Overloading
  1. i) Method Overloading
  2. ii) Constructor Overloading
  iii) Operator Overloading
- Class re-usability
- Composition
- Aggregation
- Inheritance – single, multi-level, multiple, hierarchical and hybrid inheritance and Diamond inheritance
- Constructors in inheritance
- Object class
- super ()
- Runtime polymorphism
- Method overriding
- Method resolution order (MRO)
- Method overriding in Multiple inheritance and Hybrid Inheritance
- Duck typing
- Concrete Methods in Abstract Base Classes
- Difference between Abstraction & Encapsulation
- Inner classes
- Introduction
- Writing inner class
- Accessing class level members of inner class
- Accessing object level members of inner class
- Local inner classes
- Complex inner classes
- Case studies
Chapter 18 –Exception Handling & Types of Errors
- What is Exception?
- Why exception handling?
- Syntax error v/s Runtime error
- Exception codes – Attribute Error, Value Error, Index Error, Type Error…
  - Handling exception – try except block
  - Try with multi except
  - Handling multiple exceptions with single except block
- Finally block
  - Try-except-finally
  - Try with finally
  - Case study of finally block
- Raise keyword
  - Custom exceptions / User defined exceptions
  - Need to Custom exceptions
- Case studies
Chapter 19–Regular expressions
- Understanding regular expressions
- String v/s Regular expression string
- “re” module functions
- Match()
- Search()
- Split()
- Findall()
- Compile()
- Sub()
- Subn()
- Expressions using operators and symbols
- Simple character matches
- Special characters
- Character classes
- Mobile number extraction
- Mail extraction
- Different Mail ID patterns
- Data extraction
- Password extraction
- URL extraction
- Vehicle number extraction
- Case study
Chapter 20 –File & Directory handling
- Introduction to files
- Opening file
- File modes
- Reading data from file
- Writing data into file
- Appending data into file
- Line count in File
- CSV module
- Creating CSV file
- Reading from CSV file
- Writing into CSV file
- Object serialization – pickle module
- XML parsing
- JSON parsing
Chapter 21–Python Logging
- Logging Levels
- implement Logging
- Configure Log File in over writing Mode
- Timestamp in the Log Messages
- Python Program Exceptions to the Log File
- Requirement of Our Own Customized Logger
- Features of Customized Logger
Chapter 22 –Date & Time module
- How to use Date & Date Time class
- How to use Time Delta object
- Formatting Date and Time
- Calendar module
- Text calendar
- HTML calendar
Chapter 23 –OS module
- Shell script commands
- Various OS operations in Python
- Python file system shell methods
- Creating files and directories
- Removing files and directories
- Shutdown and Restart system
- Renaming files and directories
- Executing system commands
Chapter 24 –Multi-threading & Multi Processing
- Introduction
- Multi tasking v/s Multi threading
- Threading module
- Creating thread – inheriting Thread class , Using callable object
- Life cycle of thread
- Single threaded application
- Multi threaded application
- Can we call run() directly?
- Need to start() method
- Sleep()
- Join()
- Synchronization – Lock class – acquire(), release() functions
- Case studies
Chapter 25 –Garbage collection
- Introduction
- Importance of Manual garbage collection
- Self reference objects garbage collection
- ‘gc’ module
- Collect() method
- Threshold function
- Case studies
Chapter 26–Python Data Base Communications(PDBC) (I)
- Introduction to DBMS applications
- File system v/s DBMS
- Communicating with MySQL
- Python – MySQL connector
- connector module
- connect() method
- Oracle Database
- Install cx_Oracle
- Cursor Object methods
- execute() method
- executeMany() method
- fetchone()
- fetchmany()
- fetchall()
- Static queries v/s Dynamic queries
- Transaction management
- Case studies
Chapter 27 –Python-Data Base Communication II
- What is Database? Types of Databases
- What is Database Management System
- What is Relational DBMS?
- What is Big Data? Types of data?
- Oracle - SQLSERVER - MYSQL - DB2
- Postgre SQL - DataBase Sample
- Executing the Queries - Bind Variables
- Installing of Oracle Python Modules
- Executing DML Operations..!!
- Connecting to the Database
- Create a connection object.
- Create a cursor object to read/write.
Chapter 28 –Python – Network Programming
- What is Sockets?
- What is Socket Programming?
- The socket Module
- Server Socket Methods
- Connecting to a server
- A simple server-client program
- Server
- Client
Chapter 29 –Tkinter & Turtle
- Introduction to GUI programming
- Tkinter module
- Tk class
- Components / Widgets
- Label , Entry , Button , Combo, Radio
- Types of Layouts
- Handling events
- Widgets properties
- Case studies
Chapter 30 –Data analytics modules
- Numpy
- Introduction
- Scipy
- Introduction
- Arrays
- Datatypes
- Matrices
- N dimension arrays
- Indexing and Slicing
- Pandas
- Introduction
- Data Frames
- Merge , Join, Concat
- MatPlotLib introduction
- Drawing plots
- Introduction to Machine learning
- Types of Machine Learning?
- Introduction to Data science
- argsort()
- lexsort()
- argmax() and numpy.argmin()
- nonzero()
- where()
- extract()

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Python Course Projects

Project 1

Supermarket database management by using regular expressions

In this project will be extracting data from the txt file and then will store in CSV file and will generate areport for analyzing data and then will plot the data for data visualization.Modules: - re, csv and matplotlib

Project 2

Student database management by using sql database

In this project will be using sql as a database. Will store student database and there will be other optionslike calculate percentage and generate report and will also give an option to send the report on user’semail id.Modules: - sqlite3, csv, and smtplib

Project 3

Bank application by using dictionary data type

In this project will be using dictionary as a database. This will be a menu driven program, and there willbe multiple options for the user.User can open a new bank account by giving some information like name, address, phone number someID proofs and the Amount.For an existing customer there will be an option for Check Balance, Withdraw and Deposit.

Project 4

Database project with CSV file handling

Analyzing and visualizing data.In this project will be using CSV files as a database. There will be multiple options like Add Data, DisplayData and Plot Data.Modules: - csv and matplotlib

Python Programming Training Options

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- 30 hours high-quality video
- 2 projects
- 18 downloadable resource
- Lifetime access and 24x7 support
- Access on your computer or mobile
- Get certificate on course completion
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- High-quality content created by industry experts
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Python Programming Upcoming Batches

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10-11-2025
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Weekend
15-11-2025
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Weekday
19-11-2025
08:00 PM IST
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Python Training FAQ'S

Do We offer any discount on Python Course?
We offer Group Batch, Referral, Project, and One to One Training Discounts. If you enrolled for any course, you can take any other self-paced course as Free. Therefore, at the same time, you can learn two technologies.
Can we schedule Python Learning Course based upon your availability?
You can schedule your training in all time Zones. If you want, we offer training with US, UK, Australia, Europe Instructors in Weekends and Weekdays.
Who will provide the Environment to execute the practicals?
Our Instructor will provide hands-on practical training that everything you need for understanding the total course with Projects.
What is the qualification of our Python Course Trainer?
He is a real-time expert on the various project over the past 10 years and has a good experience in teaching
Do we offer placements to the Python Language Course job seekers
For Every technology, We have Job Placement Teams in India, USA and around the world. After your enrollment, we start Your resume preparation and train you to clear the certifications and Projects required for getting Job. Meanwhile, our Instructors will conduct Interview sessions and assign you projects. We forward your resumes to companies that we tie-up. We make you to get complete experience so that you get a Job.
Will ITGuru help you in getting Certified on Python Programming for beginners?
Yes, We provide assistance is getting certification. We promise you that after our training, you will definitely get certified in respected technology.
Do we accept the Python Coding Course Fees In Installments?
Yes, we accept Training payment in Two to three Installments, with respect to the mode of training you take.
What are the Python Scripting Course Live Projects that we provide?
Our Instructor Explains Every Topic and Project on the Software itself with real time examples. Every training Batch is considered as a software team and a project is assigned to them, after completing this project. The training will be completed. So that the Students feel the real time IT Company Environment During the Sessions, where our Instructor is like a Team Lead.

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Python Online Course

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2

Course Overview

Python Online Course Objectives

What are the prerequisites to learn Python Online Course?

Who can learn Python Programming?

Why should you enroll for Python Programming Online?

What do you learn in Python Certification Course ?

What are the benefits of Python Scripting Course?

Python Classes Key Features

Lifetime Access

Assignments

Real-life Case Studies

24 x 7 Support

Certification

Job Assistance

Python Training Course Syllabus

Chapter 01–Introduction to Python

Chapter 2 – Python Software’s

Chapter 3 – Python Language Fundamentals

Chapter 4 – Different Modes of Python

Chapter 5 – Python Variables

Chapter 6 – Operators

Chapter 7 – Input & Output Operators

Chapter 8 – Control Statements

Chapter 9 – Data Structures or Collections

Chapter 10 – List Collection

Chapter 11 – Tuple Collection

Chapter 12 – Set Collection

Chapter 13 – Dictionary Collection

Chapter 14 – Functions

Chapter 15 –Advanced Python Modules

Chapter 16 –Packages

Chapter 17 –OOPs

Chapter 18 –Exception Handling & Types of Errors

Chapter 19–Regular expressions

Chapter 20 –File & Directory handling

Chapter 21–Python Logging

Chapter 22 –Date & Time module

Chapter 23 –OS module

Chapter 24 –Multi-threading & Multi Processing

Chapter 25 –Garbage collection

Chapter 26–Python Data Base Communications(PDBC) (I)

Chapter 27 –Python-Data Base Communication II

Chapter 28 –Python – Network Programming

Chapter 29 –Tkinter & Turtle

Chapter 30 –Data analytics modules

Python Course Projects

Supermarket database management by using regular expressions

Student database management by using sql database

Bank application by using dictionary data type

Database project with CSV file handling

Python Programming Training Options

Self-Paced Learning

Live Online Training

Corporate Training

Python Programming Upcoming Batches

10-11-2025

15-11-2025

19-11-2025

26-11-2025

01-12-2025

08-12-2025

Don't find suitable time ?

Python Training FAQ'S

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