Python Training

A person who has passion to learn Python can join classes if you are from it background than it would be cherry on blossom. However, if you are not from engineering field, than no need to worry, we will teach you from zero. 

Why Desire Infotech Is The Best Python Training Institute In Gandhinagar?

Well, in Gandhinagar city, there are multifarious academic institutions for Coding training or Python training. But, only Desire Infotech has been taking care for one to one training. 

Not only students get practical knowledge but also they develop there own one project as an assignment, which gives them hand on experience about Python language. 

Does Desire Infotech provide Job Assistance?

Yes. After completing the python course successfully Desire Infotech provides 100% Job Assistance. Even, we prepare you for resume writing and interviews.

Does Desire Infotech Provide Weekend Classes For Professionals? 

Desire Infotech offers professional training on various demanding technologies with flexible timings over the weekdays as well as on weekends depending on the requirements of working professionals.

Python Course Syllabus:

• Part - I
  • 1. Overview
  • Why do we need Python? Program structure
  • 2. Environment Setup
  • Python Installation
  • Execution Types
  • What is an interpreter?
  • Interpreters vs Compilers
  • Using the Python Interpreter
  • Interactive Mode
  • Running python files
  • Working with Python shel
  • l Integrated Development Environments (IDES)
  • Interactive Mode Programming
  • Script Mode Programming
  • 3. Basic Concepts
  • Basic Operators
  • Types of Operator
  • Python Arithmetic Operators
  • Python Comparison Operators
  • Python Assignment Operators
  • Python Bitwise Operators
  • Python Logical Operators
  • Python Membership Operators (in, not in)
  • Python Identity Operators (is, is not)
  • Python Operators Precedence
  • 4. Basic Concepts
  • Data Types
  • Variables
  • Assigning Values to Variables
  • Multiple Assignment
  • Python Numbers
  • Python Strings
  • Accessing Values in Strings
  • String Special Operators
  • String Formatting Operator
  • Triple Quotes
  • Built-in String Operations
  • Python Lists
  • Accessing Values in Lists
  • Updating Lists
  • Delete List Elements
  • Basic List Operations
  • Indexing, Slicing, and Matrixes
  • Built-in List Functions & Methods
  • Python Tuples
  • Accessing Values in Tuples
  • Updating Tuples
  • Delete Tuple Elements
  • Basic Tuples Operations
  • Indexing, Slicing, and Matrixes
  • No Enclosing Delimiters
  • Built-in Tuple Functions
  • Python Dictionary
  • Accessing Values in Dictionary
  • Updating Dictionary
  • Delete Dictionary Elements
  • Properties of Dictionary Keys
  • Built-in Dictionary Functions & Methods
  • 5. Basic Operators in Python
  • Types of Operator
  • Python Arithmetic Operators
  • Python Comparison Operators
  • Python Assignment Operators
  • Python Bitwise Operators
  • Python Logical Operators
  • Python Membership Operators (in, not in)
  • Python Identity Operators (is, is not)
  • Python Operators Precedence
  • 6. Loops and Decision Making
  • if statements
  • ..else statements
  • nested if statements
  • while loop
  • for loop
  • nested loops
  • Loop Control Statements
  • 1) break statement
  • 2) continue statement
  • 3) pass statement
• Part - II
  • 1. Functions Defining a Function Syntax
  • Calling a Function
  • Pass by reference vs value
  • Function Arguments
  • Required arguments
  • Keyword arguments
  • Default arguments
  • Variable-length arguments
  • The return Statement
  • Scope of Variables
  • Global vs. Local variables
  • 2. Python Modules and Packages Framework vs Packages
  • Folium Introduction
  • Why are modules used?
  • Creating modules
  • The import Statement
  • The from...import Statement
  • The from...import * Statement
  • Locating Modules
  • The PYTHONPATH Variable
  • Namespaces and Scoping
  • The dir( ) Function
  • The globals() and locals() Functions
  • The reload() Function
  • Packages in Python
  • 3. Basic OOPs Concept
  • Creating class in Python
  • Documented String
  • Private Identifier
  • Constructor
  • Inheritance
  • Polymorphism
  • 4. Decorator, Iterator and Generator
  • 5. Anonymous Function
  • Lambda
  • Map
  • Filter
  • Reduce
• PART - III
  • 1. File Manipulation
  • Opening Text File
  • Working with a File on Python
  • The open function
  • File modes
  • The file object attributes
  • close() method
  • write() method
  • read() method
  • Files: Input
  • Files: Output
  • Reading files
  • Renaming & deleting files
  • Writing into a file
  • remove() method
  • 2. Python GUI
  • Basic Operations using Tkinter
  • Buttons and Textbox
  • Menu Bar
  • Message Box and Radio Button
  • Checkbox and Event Creating
  • Creating Application in GUI
  • 3. SQL and Python
  • Overview of SQLite
  • Integrating Python with SQLite
  • 4. NoSQL and Python
  • Overview of NoSQL
  • Integrating Python with NoSQL
  • 5. Project Demonstration Tkinter with SQL Project Demonstration Tkinter with SQL
  • 6. Other Concepts
  • Errors and Exception Handling
  • Standard exceptions
  • Assertions in Python
  • The assert Statement
  • What is Exception?
  • Handling an exception
  • Syntax
  • The except Clause with No Exceptions
  • The except Clause with Multiple Exceptions
  • The try-finally Clause
  • Argument of an Exception
  • Example with Tkinter Application
  • Regular Expression
  • Powerful Utilities
  • Multithreading
  • List Comprehensive
  • Shallow and Deep Copy
  • Unit testing
  • 7. Advanced Concept -- Overviews
  • Networking Overview
  • Sending and Receiving Email by Python
  • Basics of Pandas and Numpy
  • How to use Anaconda
  • How to create dashboard
  • Overview of Django with practicles