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Data Science Training
By
MGTechnosoft

Course Info

Course Description:

Python Syllabus

Introduction


History 
Features 
Setting up path 
Working with Python 
Basic Syntax 
Variable and Data Types 
Operator

Conditional Statements


If 
If- else 
Nested if-else

Looping


For 
While 
Nested loops

Control Statements


Break 
Continue 
Pass

String Manipulation


Accessing Strings 
Basic Operations 
String slices 
Function and Methods

Lists


Introduction 
Accessing list 
Operations 
Working with lists 
Function and Methods

 

 

Tuple


Introduction 
Accessing tuples 
Operations 
Working 
Functions and Methods

Dictionaries


Introduction 
Accessing values in dictionaries 
Working with dictionaries 
Properties 
Functions

Functions


Defining a function 
Calling a function 
Types of functions 
Function Arguments 
Anonymous functions 
Global and local variables

Modules


Importing module 
Math module 
Random module 
Packages 
Composition

Input-Output


Printing on screen 
Reading data from keyboard 
Opening and closing file 
Reading and writing files 
Functions

Exception Handling


Exception 
Exception Handling 
Except clause 
Try ? finally clause 
User Defined Exceptions



Advance Python

 

OOPs concept


Class and object 
Attributes 
Inheritance 
Overloading 
Overriding 
Data hiding 

Regular expressions


Match function 
Search function 
Matching VS Searching 
Modifiers 
Patterns

CGI


Introduction 
Architecture 
CGI environment variable 
GET and POST methods 
Cookies 
File upload

Database


Introduction 
Connections 
Executing queries 
Transactions 
Handling error

 

 

 

 

 

 

 

 

 

Networking


Socket 
Socket Module 
Methods 
Client and server 
Internet modules

Multithreading


Thread 
Starting a thread 
Threading module 
Synchronizing threads 
Multithreaded Priority Queue

GUI Programming


Introduction 
Tkinter programming 
Tkinter widgets 

Sending email

 

Topics covered:

Data Science

Institute Info

Faculty : ------
Duration : 60 Days
Course Fee : ------
Training Type : Classroom
Batch Type : Regular

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