Course Information
- Course Price $250
- Total Students 800+
- Course Duration 4 Weeks
Description
First and foremost, Python is a user friendly, versatile and dynamic programming language.
Secondly, it consists of extensive libraries and frameworks which are simple to use.
Benefits
- When you have knowledge of R programming and a reasonable knowledge of statistics then you will have an amazing career in data analytics.
- Being a free software makes R an exhaustively used programming language. This also leads to creation of a lot of opportunities for professionals who are interested in taking up a career in R Programming.
Syllabus
Python-Overview
- A brief history of python
- Application and trends in python
- Available python versions
Python-Environment Setup
- Getting and installing python
- Environmental variables and idle
- Executing python from command line
Fundamentals
- I/O
- Naming conversation
- Data Types
- Numbers
- Strings
- List
- Tuple
- Dictionary
- Set
Python Operators
Statements :
- for loop
- while loop
Functions
Oops Concepts :
- Class and objects
- Getters and Setters
- Properties
- Inheritance
- Polymorphism
- Special Functions of Python:Lambda,Map,Reduce,Filter
Modules in Python
- Math
- Arrow
- Geopy
- Beautiful soup
- Numpy
- Sys
- Os
Multithreading
- Introducing threads and life cycles
- Priorities
- Dead Locks
Exceptional handling
- Errors
- Runtime errors
- Exceptional models
- Exceptional hierarchy
- Handling multiple exception
- Raise exceptions
File Handling
- Text files
- Csv files
Regular Expressions
- Simple character matches
- Flags,quantifiers,greedy matches
- Grouping and matching objects
- Matching at beginning or end
- Substituting and splitting a string
- Compiling regular expressions
Generators
Iterators
Decorators
Closures
GUI Interfacing :
- Tkinter
- Widgets
- Integrators application
- MySQL/with application
- Converting.exe
Project 1 :
- Loops
- OOPS concept
- threading
Project 2 :
- Tkinter-GUI
