Single Courses

Course Syllabus

Python training syllabus designed by TechVidya, Noida is completely based on the current industrial requirement of the companies with live project work. We Provide complete python training in noida from beginner to advanced level.

• Section 1: Phython Introducation

  • 1. Python: An Overview
  • 2. History of Python
  • 3. Version of Python
  • 4. Feature of Python
  • 5. Comparisons of Python with Other Language
  • 6. Execution of Programs
  • 7. CPython Comment

• Section 2: Phython Variables & Data Opretors

  • 1. What is variables
  • 2. Assign Variables
  • 3. Data Type
  • 4. Types of Operatorss
  • 5. Arithmetic Operators
  • 6. Relational Operatorss
  • 7. Assignment Operators
  • 7. Logical / Boolean Operators
  • 7. Identity Operators
  • 7. Membership Operators
  • 7. Bitwise Operators
  • 7. Operators Precedence & Associativity
  • 7. Precedence of Operators
  • 7. Associativity of Operators

• Section 3: Phython Conditional Statements/ Control Statements/ Loops/ Type Casting

  • 1. The If Statements
  • 2. The if-else Statements
  • 3. The Elif Statements
  • 4. The Nested If – Else Statements
  • 5. Python for Loop
  • 5. Python While Loop
  • 5. The Break Statements
  • 5. The Continue Statements
  • 5. The Pass Statements
  • 5. Python Data Type Casting

• Section 4: Phython Number/ String /List /Tuple

  • 1. Mathematical Function
  • 2. Random Function
  • 3. Trigonometric Function
  • 4. Accessing Strings
  • 5. Basic Operations
  • 6. String slices
  • 7. String Built-In Function
  • 8. Introduction
  • 8. Accessing list

• Section 5: Phython Dictionary/ sets/ Date/ Time

  • 1. Introduction to Python Dictionary
  • 2. Creating Dictionary
  • 3. Accessing Dictionary
  • 4. Deleting Dictionary
  • 5. Built-In Function
  • 6. Introduction to Python Sets
  • 7. Declaring an Sets
  • 8. Operation on Sets
  • 8. Built-In Function
  • 8. The Time Module
  • 8. The Calendar Module

• Section 6: Phython Funcation Module

  • 1. Defining a function
  • 2. Calling a function
  • 3. Types of functions
  • 4. Function Arguments
  • 5. Anonymous functions
  • 6. Global and local variables
  • 7. Introduction to module
  • 8. The Import Statement
  • 8. The From…Import Statement
  • 8. The From…Import* Statement

• Section 7: File Handling

  • 1. Introduction to Python File Handling
  • 2. Opening & closing Files
  • 3. Reading & writing Files
  • 4. Rename & Remove Files
  • 5. The Directories
  • 6. Error in Python Program
  • 7. Types of Exception
  • 8. Handling Exception in Python
  • 8. Raising Exception
  • 8. User Defined Exception

• Section 8: Phython Oops Conscepts/ Multithreading/ Mail sending

  • 1. Class and object
  • 2. Attributes
  • 3. Inheritance
  • 4. Overloading
  • 5. Overriding
  • 6. Interface & Abstraction
  • 7. Thread
  • 8. Starting a thread
  • 8. Threading module
  • 8. Synchronizing threads
  • 8. Multithreaded Priority Queue
  • 8. Introducing about mail sender
  • 8. Execute mail program
  • 8. Attachment with file
  • 8. Sending multiple mail

• Section 9: Phython Regular Expression/ Database Connection/ Interacting With Networks

  • 1. Match function
  • 2. Search function
  • 3. Matching VS Searching
  • 4. Modifiers
  • 5. Patterns
  • 6. Introduction to Database Connection
  • 7. Connections
  • 8. Executing queries
  • 8. Transactions
  • 8. Handling error
  • 8. Socket in Python
  • 8. TCP/IP Client & Server
  • 8. Creating a Client / Server Program
  • 8. Executing Socket Program

• Section 10: Interacting with networks/ gui/ Phytjon web scraping

  • 1. Socket in Python
  • 2. TCP/IP Client & Server
  • 3. Creating a Client / Server Program
  • 4. Executing Socket Program
  • 5. Introduction
  • 6. Tkinter programming
  • 7. Tkinter widgets
  • 8. Introduction
  • 8. Scrape all the details of any website
  • 8. Built-in Function

• Section 11: Idea About Phython Images Processing/ Data Science/ Machine Learing/ Artificial Intelligence

  • 1. Introduction to Python Image Processing
  • 2. Image processingr
  • 3. Loading Video
  • 4. Reading image
  • 5. Introduction
  • 6. Data analysis with Python
  • 7. Plotting Graph