; Python

Python

Now days Python is a widely used general-purpose, high-level programming language. Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive standard library. Python's official repository of third-party software contains more than 38,000 packages covering a wide range of functionality for the same.Python

Python

Who should opt for Python
Software Professionals such as Programmers, Web Developers, ETL Developers, Analytics Professionals, Automation Engineers, Hadoop Programmers, Project Managers, and even beginners must learn Python to compete well and to ensure their success in the IT sector.
Pre-requisites for Python Course
Anyone having a basic knowledge of Windows or UNIX can go for python classes.

Python Training Description

Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis.

What are the Python Course Pre-requisites

There are no hard pre-requisites. Basic understanding of Computer Programming terminologies is sufficient. Also, basic concepts related to Programming and Database is beneficial but not mandatory.

Python Training Content Overview Core Python Introduction to Script

  • What is Script
  • What is a program?
  • Types of Scripts
  • What is Script

Introduction to Script

  • What is Script
  • What is a program?
  • Types of Scripts
  • Difference between Script & Programming Languages
  • Features of Scripting
  • Limitation of Scripting
  • Types of programming Language Paradigms

Introduction to Python

  • What is Python?
  • Why Python?
  • Who Uses Python?
  • Characteristics of Python
  • History of Python
  • What is PSF?
  • Python Versions
  • How to Download Python
  • How to Install Python
  • Install Python with Diff IDEs
  • Features of Python
  • Limitations of Python
  • Python Applications
  • Creating Your First Python Program
  • Printing to the Screen
  • Reading Keyboard Input
  • Using Command Prompt and GUI or IDE
  • Python Distributions

Different Modes in PYTHON

  • Execute the Script
  • Interactive Mode
  • Script Mode
  • Python File Extensions
  • SETTING PATH IN Windows
  • Clear screen inside python
  • Learn Python Main Function
  • Python Comments
  • Quit the Python Shell
  • Shell as a Simple Calculator
  • Order of operations
  • Multiline Statements
  • Quotations in Python
  • Python Path Testing
  • Joining two lines
  • Python Implementation Alternatives
  • Python Sub Packages
  • Uses of Python in Data Science
  • USES OF PYTHON IN IOT
  • Working with Python in Unix/Linux/Windows/Mac/Android..!!

PYTHON NEW IDEs

  • PyCharm IDE
  • How to Work on PyCharm
  • PyCharm Components
  • Debugging process in PyCharm
  • PYTHON Install Anaconda
  • What is Anaconda?
  • Coding Environments
  • Spyder Components
  • General Spyder Features
  • Spyder Shortcut Keys
  • Jupyter Notebook
  • What is Conda?
  • Conda List?
  • Jupyter and Kernels
  • What is PIP?

Variables in Python

  • What is Variable?
  • Variables in Python
  • Constants in Python
  • Variable and Value
  • Variable names
  • Mnemonic Variable Names
  • Values and Types
  • What Does “Type” Mean?
  • Multiple Assignment
  • Python different numerical types
  • Standard Data Types
  • Operators and Operands
  • Order of Operations
  • Swap variables
  • Python Mathematics
  • Type Conversion
  • Mutable Versus Immutable Objects

String Handling

  • What is string?
  • String operations
  • String indices
  • Basic String Operations
  • String Functions, Methods
  • Delete a string
  • String Multiplication and concatenation
  • Python Keywords
  • Python Identifiers
  • Python Literals
  • String Formatting Operator
  • Structuring with indentation in Python
  • Built-in String Methods
  • Define Data Structure?
  • Data Structures in PYTHON

Python Operators and Operands

  • Arithmetic Operators
  • Relational Operators
  • Comparison Operators
  • Python Assignment Operators
  • Short hand Assignment Operators
  • Logical Operators or Bitwise Operators
  • Membership Operators
  • Identity Operators
  • Operator precedence
  • Evaluating Expressions

Python Conditional Statements:

  • How to use “if condition” in conditional structures
  • if statement (One-Way Decisions)
  • if .. else statement (Two-way Decisions)
  • How to use “else condition”
  • if ..elif .. else statement (Multi-way)
  • When “else condition” does not work
  • How to use “elif” condition
  • How to execute conditional statement with minimal code
  • Nested IF Statement

Python LOOPS

  • How to use “While Loop”
  • How to use “For Loop”
  • How to use For Loop for set of other things besides numbers
  • Break statements in For Loop
  • Continue statement in For Loop
  • Enumerate function for For Loop
  • Practical Example
  • How to use for loop to repeat the same statement over and again
  • Break, continue statements

Learning Python Strings

  • Accessing Values in Strings
  • Various String Operators
  • Some more examples
  • Python String replace() Method
  • Changing upper and lower case strings
  • Using “join” function for the string
  • Reversing String
  • Split Strings

Sequence or Collections in PYTHON

  • Strings
  • Unicode Strings
  • Lists
  • Tuples
  • buffers
  • xrange

Python Lists

  • Lists are mutable
  • Getting to Lists
  • List indices
  • Traversing a list
  • List operations
  • List slices
  • List methods
  • Map, filter and reduce
  • Deleting elements
  • Lists and strings

Python TUPLE

  • Advantages of Tuple over List
  • Packing and Unpacking
  • Comparing tuples
  • Creating nested tuple
  • Using tuples as keys in dictionaries
  • Deleting Tuples
  • Slicing of Tuple
  • Tuple Membership Test
  • Built-in functions with Tuple
  • Dotted Charts

Python Sets

  • How to create a set?
  • Iteration Over Sets
  • Python Set Methods
  • Python Set Operations
  • Union of sets
  • Built-in Functions with Set
  • Python Frozenset

Python Dictionary

  • How to create a dictionary?
  • PYTHON HASHING?
  • Python Dictionary Methods
  • Copying dictionary
  • Updating Dictionary
  • Delete Keys from the dictionary
  • Dictionary items() Method
  • Sorting the Dictionary
  • Python Dictionary in-built Functions
  • Dictionary len() Method
  • Variable Types
  • Python List cmp() Method
  • Dictionary Str(dict)

Python Functions

  • What is a function?
  • How to define and call a function in Python
  • Types of Functions
  • Significance of Indentation (Space) in Python
  • How Function Return Value?
  • Types of Arguments in Functions
  • Default Arguments
  • Non-Default Arguments
  • Keyword Arguments
  • Non-keyword Arguments
  • Arbitrary Argument
  • Rules to define a fuction in Python
  • Various Forms of Function Arguments
  • Scope and Lifetime of variables
  • Nested Functions
  • Call By Value, Call by Reference
  • Anonymous Functions/Lambda functions
  • Passing functions to function
  • map(), filter(), reduce() functions
  • What is a Docstring?

Advanced Python

Python Modules

  • What is a Module?
  • Types of Modules
  • The import Statement
  • The from…import Statement
  • ..import * Statement
  • Underscores in Python
  • The dir( ) Function
  • Creating User defined Modules
  • Command line Arguments
  • Python Module Search Path

Packages in Python

  • What is a Package?
  • Introduction to Packages?
  • py file
  • Importing module from a package
  • Creating a Package
  • Creating Sub Package
  • Importing from Sub-Packages
  • Popular Python Packages

Python Date and Time

  • How to Use Date &DateTime Class
  • How to Format Time Output
  • How to use Timedelta Objects
  • Calendar in Python
  • datetime classes in Python
  • How to Format Time Output?
  • The Time Module
  • Python Calendar Module
  • Python Text Calendar
  • Python HTML Calendar Class
  • Unix Date and Time Commands

File Handling

  • What is a data, Information File?
  • File Objects
  • File Different Modes
  • file Object Attributes
  • How to create a Text File
  • How to Append Data to a File
  • How to Read a File
  • Closing a file
  • Read, read line ,read lines, write, write lines…!!
  • Renaming and Deleting Files
  • Directories in Python
  • Working with CSV files
  • Working with CSV Module
  • Handling IO Exceptions

Python OS Module

  • Shell Script Commands
  • Various OS operations in Python
  • Python File System Shell Methods

Python Exception Handling

  • Python Errors
  • Common RunTime Errors in PYTHON
  • Abnormal termination
  • Chain of importance Of Exception
  • Exception Handling
  • Try … Except
  • Try ..Except .. else
  • Try … finally
  • Argument of an Exception
  • Python Custom Exceptions
  • Ignore Errors
  • Assertions
  • Using Assertions Effectively

More Advanced PYTHON

  • Python Iterators
  • Python Generators
  • Python Closures
  • Python Decorators
  • Python @property

Python Class and Objects

  • Introduction to OOPs Programming
  • Object Oriented Programming System
  • OOPS Principles
  • Define Classes
  • Creating Objects
  • Class variables and Instance Variables Constructors
  • Basic concept of Object and Classes
  • Access Modifiers
  • How to define Python classes
  • Python Namespace
  • Self-variable in python
  • Garbage Collection
  • What is Inheritance? Types of Inheritance?
  • How Inheritance works?
  • Python Multiple Inheritance
  • Overloading and Over Riding
  • Polymorphism
  • Abstraction
  • Encapsulation
  • Built-In Class Attributes

Python Regular Expressions

  • What is Regular Expression?
  • Regular Expression Syntax
  • Understanding Regular Expressions
  • Regular Expression Patterns
  • Literal characters
  • Repetition Cases
  • Example of w+ and ^ Expression
  • Example of \s expression in re.split function
  • Using regular expression methods
  • Using re.match()
  • Finding Pattern in Text (re.search())
  • Using re.findall for text
  • Python Flags
  • Methods of Regular Expressions

Python XML Parser

  • What is XML?
  • Difference between XML and HTML
  • Difference between XML and JSON and Gson
  • How to Parse XML
  • How to Create XML Node
  • Python vs JAVA
  • XML and HTML

Python-Data Base Communication

  • What is Database? Types of Databases?
  • What is DBMS?
  • What is RDBMS?
  • What is Big Data? Types of data?
  • Oracle
  • MySQL
  • SQL server
  • DB2
  • Postgre SQL
  • Executing the Queries
  • Bind Variables
  • Installing of Oracle Python Modules
  • Executing DML Operations..!!

Multi-Threading

  • What is Multi-Threading
  • Threading Module
  • Defining a Thread
  • Thread Synchronization

Web Scrapping

  • The components of a web page
  • BeautifulSoup
  • Urllib2
  • HTML,CSS,JS,jQuery
  • Dataframes
  • PIP
  • Installing External Modules Using PIP

Unit Testing with PyUnit

  • What is Testing?
  • Types of Testings and Methods?
  • What is Unit Testing?
  • What is PyUnit?
  • Test scenarios, Test Cases, Test suites

Introduction to Python Web Frameworks

  • Django – Design
  • Advantages of Django
  • MVC and MVT
  • Installing Django
  • Designing Web Pages
  • HTML5, CSS3, AngularJS
  • PYTHON Flask
  • PYTHON Bottle
  • PYTHON Pyramid
  • PYTHON Falcon

GUI Programming-Tkinter

  • Introduction
  • Components and Events
  • Adding Controls
  • Entry Widget, Text Widget, Radio Button, Check Button
  • List Boxes, Menus, ComboBox

Data Analytics

  • Introduction to data Big Data?
  • Introduction to NumPY and SciPY
  • Introduction to Pandas and MatPlotLib

Introduction to Machine Learning with PYTHON

  • What is Machine learning?
  • Machine Learning Methods
  • Predictive Models
  • Descriptive Models
  • What are the steps used in Machine Learning?
  • What is Deep Learning?

Data Science

  • What is Data Science?
  • Data Science Life Cycle?
  • What is Data Analysis
  • What is Data Mining
  • Analytics vs Data Science

Internet of Things

  • IMPACT OF THE INTERNET
  • What is IOT
  • History of IoT
  • What is Network?
  • What is smart?
  • How IoT Works?
  • The Future of IoT
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Python

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Blend's Benefits to Student:

  • Hands on Project Experience exposures in the Lab session
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  • Free Technical Support after Course Completion
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  • Latest Study Material
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  • We send you for interviews till you get a job
  • We get your Resume Ready to attend interviews
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  • Pre-Requisite: Job Seekers, any Graduates, Software Developer, Fresher , web developers, web designers, SEO specialists
  • Projects: You Work on Live Projects
  • Latest and Update Course Contents as per corporate standards.
  • Personal Attention to make Students Web Developer Experts

IT Career

Python Training Benefits for

Students / Fresher

  • easy to learn, and it can be used as a stepping stone into other programming languages and frameworks.
  •  Python is widely used, including by a number of big companies IBM, HP, Infosys, Accenture, Flipkart, Amazon and many more
  •  Job Openings are Plenty to get Placed Immediatly after course
  • since a lot of big companies rely on the language, you can make good money as a Python developer.

Working Professionals

  • More Job opportunities in Python Technologies compared with others.
  • Employers are looking for fully stacked programmers and Python will help you get there
  • For people planning to become software developers, learning this type of programming in one area will help you adapt easily in other environments.
  • Great Career Prospect
  • Python make it one of the best languages to learn. Today, several Python developers across the globe are developing a variety of software packages for application in numerous industries

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