Python is a Scripting language. It is an interpreted, interactive programming language. It supports the object-oriented concept. Python is an open source. It has the simple structure with clear define syntax. It is easy to learn. It supports multiple programming paradigms. Python has the large collection of pre-built and portable functionalities. Python is having more than 20 thousand modules. In most of the technologies, Python is being used. It has a very good feature like automatic memory management system. Enroll and Attend Python Online Traning demo by our real-time expert
Who should go for this course
Any B.E/ B.Tech/ BSC/ M.C.A/ M.Sc/ M.Tech/ BCA/ BCom College Students in any stream.
Fresh Graduates.
Any IT experienced Professional who are interested to build their career in PYTHON development or work on the technologies related to PYTHON.
Course Curriculum GETTING STARTED WITH PYTHON
Python Overview
About Interpreted Languages
Advantages/Disadvantages of Python pydoc
Starting Python
Interpreter PATH
Using the Interpreter
Running a Python Script
Python Scripts on UNIX/Windows
Python Editors and IDEs.
Using Variables
Keywords
Strings Different Literals
Math Operators and Expressions
Writing to the Screen
String Formatting
Command Line Parameters and Flow Control
Built-in Functions
SEQUENCE AND FILE OPERATIONS
Lists
Tuples
Indexing and Slicing
Iterating through a Sequence
Functions for all Sequences
Using Enumerate()
Operators and Keywords for Sequences
Dictionaries and Sets
The xrange() function
List Comprehensions
Generator Expressions
FUNCTIONS SORTING ERRORS AND EXCEPTION HANDLING
Functions
Function Parameters
Global Variables
Variable Scope and Returning Values. Sorting
Alternate Keys
Lambda Functions
Sorting Collections of Collections
Sorting Dictionaries
Sorting Lists in Place
Errors and Exception Handling
Handling Multiple Exceptions
The Standard Exception Hierarchy
Using Modules
The Import Statement
Module Search Path
Package Installation Ways
PACKAGES AND OOP IN PYTHON
The Sys Module
Interpreter Information
STDIO
Launching External Programs
Paths Directories and Filenames
Walking Directory Trees
Math Function
Random Numbers
Dates and Times
Zipped Archives
Introduction to Python Classes
Defining Classes
Initializers
Instance Methods
Properties
Class Methods and DataStatic Methods
Private Methods and Inheritance
Module Aliases and Regular Expressions.
DATABASES AND DEBUGING
Debugging
Dealing with Errors
Using Unit Tests
Project Skeleton
Required Packages
Creating the Skeleton
Project Directory
Final Directory Structure
Testing your Setup
Using the Skeleton
Creating a Database with SQLite 3
CRUD Operations
Creating a Database Object
MACHINE LEARNING USING PYTHON
Introduction to Machine Learning
Areas of Implementation of Machine Learning
Why Python
Major Classes of Learning Algorithms
Supervised vs Unsupervised Learning
Learning NumPy
Learning Scipy
Basic plotting using Matplotlib
Machine Learning application
SUPERVISED AND UNSUPERVISED LEARNING
Classification Problem
Classifying with k-Nearest Neighbours (kNN)
Algorithm
General Approach to kNN
Building the Classifier from Scratch
Testing the Classifier
Measuring the Performance of the Classifier
lustering Problem
HADOOP AND PYTHON
Introduction to Scikit-Learn
Inbuilt Algorithms for Use
What is Hadoop and why it is popular
Distributed Computation and Functional Programming