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Best Python Online Training with Live Project by Expert


QA Training Hub - Hyderabad Vikaspuri, Erragadda

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QA Training Hub is best Python Programing Online Training Center in India. Python Online Training provided by real time working Professional Mr. Dinesh. Data Scientist and RPA Expert  with 18+ years of industry experience in teaching Python.

Python Online Training Course Content

Module 1>> Introduction to Scrípt

  • What is SCRíPT

  • What is a program?

  • Types of Scrípts

  • Difference between Scrípt & Programming Languages

  • Features of Scrípting

  • Limitation of Scrípting

  • Types of programming Language Paradigms

Module 2 >> 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

  • 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

Module 3 >> Different Modes in PYTHON

  • Execute the Scrípt

  • Interactive Mode

  • Scrípt 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..!!

Module 4 >> 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?

Module 5 >>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

Module 6 >> String Handling in Python

  • 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

Module 7 >> 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

Module 8 >>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

Module 9 >>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

Module 10 >>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

Module 11 >>Sequence or Collections in PYTHON

  • Strings

  • Unicode Strings

  • Lists

  • Tuples

  • buffers

  • xrange

Module 12 >>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

Module 13 >>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

Module 14 >>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

Module 15 >>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)

Module 16 >>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 Arguments

  • Rules to define a function 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?

Module 17 >>Python Modules

  • What is a Module?

  • Types of Modules

  • The import Statement

  • The from...import Statement

  • from...import * Statement

  • Underscores in Python

  • The dir( ) Function

  • Creating User defined Modules

  • Command line Arguments

  • Python Module Search Path

Module 18 >>Packages in Python

  • What is a Package?

  • Introduction to Packages?

  • __init__.py file

  • Importing module from a package

  • Creating a Package

  • Creating Sub Package

  • Importing from Sub-Packages

  • Popular Python Packages

Module 19 >>Python Date & Time

  • Python Date & 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 TextCalendar

  • Python HTMLCalendar Class

  • Unix Date and Time Commands

Module 20 >>File Handling in Python

  • 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

Module 21 >>Python OS Module

  • Shell Scrípt Commands

  • Various OS operations in Python

  • Python File System Shell Methods

Module 22 >>Python Exception Handling

  • 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

  • UsingAssertionsEffectively

Module 23 >>More Advanced PYTHON

  • Python Iterators

  • Python Generators

  • Python Closures

  • Python Decorators

  • Python @property

Module 24 >>Python Class & 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

Module 25 >>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

Module 26 >>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

Module 27 >>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

  • Executing the Queries

  • Executing DML Operations..!!

Module 28 >>Multi-Threading

  • What is Multi-Threading

  • Threading Module

  • Defining a Thread

  • Thread Synchronization

  • Serial Programming

Module 29 >>Intro to Web scrapping

  • The components of a web page

  • BeautifulSoup

  • HTML,CSS,JS,jQuery

  • Dataframes

  • Installing External Modules Using PIP

Module 30 >>Intro to Data Analytics

  • Introduction to data Big Data?

  • Introduction to NumPY and SciPY

  • Introduction to Pandas and MatPlotLib

Module 31 >>Introduction to Machine Learning with PYTHON

  • What is Machine learning?

  • Machine Learning Methods

  • Predictive Models

  • Descríptive Models

  • What are the steps used in Machine Learning?

  • What is Deep Learning?

Module 32 >>Intro to Data Science

  • Intro to Data Science

  • What is Data Science?

  • Data Science Life Cycle?

  • What is Data Analysis

  • What is Data Mining

  • Analytics vs Data Science

Module 33 >>Intro to Internet of Things

  • IMPACT OF THE INTERNET

  • What is IOT

  • History of IoT

  • What is Network?

  • What is Protocol?

  • What is smart?

  • How IoT Works?

  • The Future of IoT

 

Visit: http://www.qatraininghub.com/python-online-training.php Contact: Mr. Dinesh Raju : India: +91-8977262627, USA: : +1-845-493-5018, Mail: info@qatraininghub.com



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