Python Training in Hyderabad






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Python Training


Python Training Overview

Python-online-course-speciall-Offer-Nareshit
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.

Objectives of the Course

  • To understand the concepts and constructs of Python
  • To create own Python programs, know the machine learning algorithms in Python and work on a real-time project running on Python

Who should do the course

  • Big Data Professionals
  • IT Developers
  • Those who are showing interest to build their career in Python

Python Training Course Duration

  • 60 Days, Daily 2.00 Hours

Python Course Content

Core Python

Introduction to Script

  • What is Script, program?
  • Types of Scripts
  • Difference between Script and Programming Languages
  • Features and 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 and Install Python
  • Install Python with Diff IDEs
  • Features and 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 and 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
  • Sub Packages in Python
  • Uses of Python in Data Science, 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? and Conda List?
  • Jupyter and Kernels
  • What is PIP?

Variables in Python

  • What is Variable?
  • Variables and Constants in Python
  • Variable,Variable names and Value
  • 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 and indices
  • Basic String Operations
  • String Functions, Methods
  • Delete a string
  • String Multiplication and concatenation
  • Python Keywords, Identifiers and Literals
  • String Formatting Operator
  • Structuring with indentation in Python
  • Built-in String Methods
  • Define Data Structure?
  • Data Structures in PYTHON
Python-online-course-speciall-Offer-Nareshit

Python Operators and Operands

  • Arithmetic, Relational Operators and 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” and  “For Loop”
  • How to use For Loop for set of other things besides numbers
  • Break statements, Continue statement, 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, slices and 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 and Non-Default Arguments
  • Keyword Argument and 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?

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, HTML Calendar Class
  • Unix Date and Time Commands

File Handling

  • What is a data, Information File?
  • File Objects
  • File Different Modes and Object Attributes
  • How to create a Text Fil and Append Data to a File and 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 and  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
  • UsingAssertionsEffectively

More Advanced PYTHON

  • Python Iterators, Generators, Closures, Decorators and 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  and XML,  JSON, Gson
  • How to Parse XML and Create XML Node
  • Python vs JAVA
  • XML and HTML

Python-Data Base Communication

  • What is Database? Types of Databases?
  • What is DBMS?, 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, Bottle, Pyramid, 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, Data Mining
  • Analytics vs Data Science

Internet of Things

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

Python learning 


What is Programming Language?
--------------------------
1.A programming language is a set of rules that
provides a way of telling a computer what
operations to perform.

2.A programming language is a set of rules for
communicating an algorithm

3.It provides a linguistic framework for
describing computations
provides a way of telling a computer what
operations to perform.

Types of computer languages:
--------------------------
Machine Language :

     1.The fundamental language of the computer’s processor, also called Low Level Language.
     2.All programs are converted into machine language before they can be executed.
     3.Consists of combination of 0’s and 1’s that represent high and low electrical voltage.

Assembly Language :
     1.A low level language that is similar to machine language.
 2.Uses symbolic operation code to represent the machine operation code.
      Eg :
LOAD r1,b
LOAD r2,h
MUL r1,r2
DIV r1,#2
RET

High level Language :

1.Computer (programming) languages that are easier to learn.
2.Uses English like statements.
3.Examples are Python,C ++, Visual Basic, Pascal, Fortran and …....

What is Python?
-----------------
1. Python is an easy to learn, powerful programming language. The application development process much faster and easier
2. The programming language Python was conceived in the late 1980s, and its implementation was started in December 1989 by
    Guido van Rossum at  Netherlands as a successor to the ABC (programming language)
3. Python First release happened in 1991.
4. Python was named for the BBC TV show Monty Python's Flying Circus.


Why python?
-----------
1. Easy to understand
2. Beginners language
3. Portable
4. Less lines of code
5. Simple to implement
6. Huge libraries supports


8. Large standard library(numpy,scipy)
9. GUI programming (Tkinter)

Python Implemenation alternatives:
-------------------------------
1. CPython(stadnard implemenation of python)
2. Jython(Python for java)
3. IronPython( Python for .net)
4. Stackless (Python for concurrency)
5. PyPy ( Python for speed)

Python Packages :
---------------
1. Web devlopment - Django,Flask frameworks,Pylons,Web2py framworks.
2. Artificiat Intelligence : Scikit-learn,Keras,TensorFlow,OpenCV
3. GUI - TKinter
4. Desktop Applications : Jython, WxPython
5. Game Development : pygame
6. Testing : Spliter Tool,pytest framework
7. Bigdata : Pydoop,DASK,PySpark Libraries
8. DataScience : NumPy,Pandas,matplotlib,seaborn libraries
9. AWS : boto
10. Robotic process : pyro
11. Web Scraping : Beautifulsoup4,urllib2,mechanize
12. Devops & System Admin : Os,Sys,Shutil,Glob,Subprocess,PathLib,fabric
13. Networking : Twisted,socket,client and server

Who uses Python :
------------------

Data engineers, data scientists, System administrators and
developers. Python is not industry specific, but task specific—great
for data processing, business intelligence, and some application
development

Google, You Tube,
Instagram, DropBox,
Survey Monkey, Quora,
Pinterest, Reddit
Yahoo Maps,…..
Duration

-------------------------------------------------------------------------------------

Day 2 - print(),variables




Python print()
-----------------------

Print Statement :
---------------


eg:
>>print('Welcome to python')
>>print('Python is OpenSource')

>>print("welcome to python")
>>print("Python is OpenSource")

above two are valid

Below are invalid.
>> print("welcome to python")
>>print("Python is OpenSource")

Error due to indentation
** Statement should start in first column

** Printing double quotes with in string

>>> print("Welcome to \"QualityThought\" ")
Welcome to "QualityThought"
>>> print("Welcome to \'QualityThought\' ")
Welcome to 'QualityThought'


** Printing multiple times

>>>print("QualityThought"*5)
QualityThoughtQualityThoughtQualityThoughtQualityThoughtQualityThought


>>>print("QualityThought\n"*5)
QualityThought
QualityThought
QualityThought
QualityThought
QualityThought



Python Variable:
----------------
variable :
Think of a number. Any number. Now, before you forget that number, let’s store it for later.
When you think of a number, you are holding that value in your head.
 If you want to remember it  you will write it down on a piece of paper.
And if it’s really important, you will put it in a safe place.
In computer science, that safe place is a variable. They’re called variables because, well, they’re “capable of being varied or changed”

--A variable is a memory location where a programmer can store a value. Example : roll_no, amount, name etc.
--Value is either string, numeric etc. Example : "Sara", 120, 25.36
--Variables are created when first assigned.
--The value stored in a variable can be accessed or updated later.
--No declaration required
--The type (string, int, float etc.) of the variable is determined by Python
--The interpreter allocates memory on the basis of the data type of a variable.



Rules for python variables :
=========================

--Must begin with a letter (a - z, A - B) or underscore (_)

>>> @account_number = 34525
SyntaxError: invalid syntax

>>> _account_number=34525
>>> print(_account_number)
34525

--Other characters can be letters, numbers or _
-- Must not contain any special characters !, @, #, $, %
>>> a@ = 20
SyntaxError: inva--lid syntax
>>> a$ = 49
SyntaxError: invalid syntax


--Case Sensitive

>>> product_name = 'TV'
>>> print(product_name)
TV
>>> print(Product_name)

Traceback (most recent call last):
  File "<pyshell#26>", line 1, in <module>
    print(Product_name)
NameError: name 'Product_name' is not defined
>>> print(PRODUCT_NAME)

Traceback (most recent call last):
  File "<pyshell#27>", line 1, in <module>
    print(PRODUCT_NAME)
NameError: name 'PRODUCT_NAME' is not defined



--There are some reserved words which you cannot use as a variable name because Python uses them for other things.
>>> for = 10
SyntaxError: invalid syntax

Good Variable Name :
========================
**Choose meaningful name instead of short name. roll_no is better than rno.
**Maintain the length of a variable name. Roll_no_of_a-student is too long?
**Be consistent; roll_no or RollNo
**Begin a variable name with an underscore(_) character for a special case.

Multi assignment

a=10
print(a)

Name='RAVI'
Age=21

a = b = c = 1
print(a)
print(b)
print(c)

a,b,c = 10,20,"QualityThought"
print(a)
print(b)
print(c)

Comments

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