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Python
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Python
Python is interpreted and object oriented language. It is very flexible language and allows doing many things. It can be used to write simple as well as complex large scale enterprise solutions. It is the preferred language for data science and machine learning. Here Are some Data-Driven Reasons 1. Python is widely used in data science Python’s application in data science and data engineering is what’s really powering its popularity today. There are some tools like Pandas, NumPy, SciPy with the ability to prototype quickly and then “glue” systems together enable data engineers to maintain high efficiency. 2. High Demand of Python Developers As per the observation in job trends, there has been a strong spike popularity of python over the last six months. The demand for Python skills clearly exceeds jobseeker interest. At the moment, the job market position for Python developers is excellent. 3. Save time We are sure that majority of developers who have worked on Python would agree that making anything in python takes very less time and code than other languages.
Python

 

Module 1: Introduction

  1. History
  2. Features
  3. Setting up path
  4. working with Python
  5. Basic Syntax
  6. Variable and Data Types
  7. Operator

Module 2: Conditional Statements

  1. If
  2. If- else
  3. Nested if-

Module 3: Looping Statements

  1. For
  2. While
  3. Nested loops

Module 4: Control Statements

  1. Break
  2. Continue
  3. Pass

Module 5: String Manipulation

  1. Accessing Strings
  2. Basic Operations
  3. String slices
  4. Function and Methods

Module 6: Lists

  1. Introduction
  2. Accessing list
  3. Operations
  4. Working with lists
  5. Function and Methods

Module 7: Tuple

  1. Introduction
  2. Accessing tuples
  3. Operations
  4. Working
  5. Functions and Methods

Module 8: Dictionaries

  1. Introduction
  2. Accessing values in dictionaries
  3. Working with dictionaries
  4. Properties
  5. Functions and Methods

Module 9: Functions

  1. Defining a function
  2. Calling a function
  3. Types of functions
  4. Function Arguments
  5. Anonymous functions
  6. Global and local variables

Module 10: Modules

  1. Importing module
  2. Math module
  3. Random module
  4. Packages
  5. Composition

Module 11: Input-Output

  1. Printing on screen
  2. Reading data from keyboard
  3. Opening and closing file
  4. Reading and writing files
  5. Functions

Module 12: Exception Handling

  1. Exception
  2. Exception Handling
  3. Except clause
  4. Try ? finally clause
  5. User Defined Exceptions

Advanced Python

 

Module 1: OOPs concept

  1. Class and object
  2. Attributes
  3. Inheritance
  4. Overloading
  5. Overriding
  6. Data hiding

Module 2: Regular expressions

  1. Match function
  2. Search function
  3. Matching VS Searching
  4. Modifiers
  5. Patterns

Module 3: CGI

  1. Introduction
  2. Architecture
  3. CGI environment variable
  4. GET and POST methods
  5. Cookies
  6. File upload

Module 4: Database

  1. Introduction
  2. Connections
  3. Executing queries
  4. Transactions
  5. Handling error

Module 5: Networking

  1. Socket
  2. Socket Module
  3. Methods
  4. Client and server
  5. Internet modules

Module 6: Multithreading

  1. Thread
  2. Starting a thread
  3. Threading module
  4. Synchronizing threads
  5. Multithreaded Priority Queue

Module 7: GUI Programming

  1. Introduction
  2. Tkinter programming
  3. Tkinter widgets

Module 8: Sending email

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