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Batch Date: Dec 26th @8:00AM

Faculty: Mr. N. Vijay Sunder Sagar (20+ Yrs of Exp,..)

Duration : 4 Months

Venue :
DURGA SOFTWARE SOLUTIONS,
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HUDA Maitrivanam,
Ameerpet, Hyderabad - 500038

Ph.No: +91 - 9246212143, 80 96 96 96 96

Syllabus:

PYTHON

1. Python Basics

• What is Python
• Why Python?
• History of python
• Applications of Python
• Features of Python
• Advantages of Python
• Versions of Python
• Installation of Python
• Flavors of Python
• Comparision b/w various programming languages C, Java and Python

2. Python Operations

• Python Modes of Execution
• Interactive mode of Execution
• Batch mode of Execution
• Python Editors and IDEs
• Python Data Types
• Python Constants
• Python Variables
• Comments in python
• Output Print(),function
• Input() Function :Accepting input
• Type Conversion
• Type(),Id() Functions
• Comments in Python
• Escape Sequences in Python
• Strings in Python
• String indices and slicing

3. Operators in Python

• Arithmetic Operators
• Comparision Operators
• Logical Operators
• Assignment Operators
• Short Hand Assignment Operators
• Bitwise Operators
• Membership Operators
• Identity Operators

4. Python IDE’s

• Pycharm IDE Installation
• Working with Pycharm
• Pycharm components
• Installing Anaconda
• What is Conda?
• Anaconda Prompt
• Anaconda Navigator
• Jupyter Notebook
• Jupyter Features
• Spyder IDE
• Spyder Featueres
• Conda and PIP

5. Flow Control statements

• Block/clause
• Indentation in Python
• Conditional Statements
  • if stmt
  • if…else statement
  • if…elif…statement

6. Looping Statements

• while loop,
• while … else,
• for loop
• Range() in for loop
• Nested for loop
• Break statememt
• Continue statement
• Pass statement

7. Strings in Python

• Creating Strings
• String indexing
• String slicing
• String Concatenation
• String Comparision
• String splitting and joining
• Finding Sub Strings
• String Case Change
• Split strings
• String methods

8. Collections in Python

• Introduction
• Lists
• Tuples
• Sets
• Dictionaries
• Operations on collections
• Functions for collections
• Methods of collection
• Nested collections
• Differences b/w list tuple and set and Dictionary

9. Python Lists

• List properties
• List Creation
• List indexing and slicing
• List Operations
• List addresses
• List functions
• Different ways of creating lists
• Nested Lists
• List modification
• List insertion and deletion
• List Methods

10. Python Tuples

• Tuple properties
• Tuple Creation
• Tuple indexing and slicing
• Different ways of creating tuples
• Tuple Operations
• Tuple Addresses
• Tuple Functions
• Nested Tuples
• Tuple Methods
• Differences b/w List and Tuple

11. Python Sets

• Set properties
• Set Creation
• Set Operations
• Set Functions
• Set Addresses
• Set Mathematical Operations
• Set Methods
• Insertion and Deletion operation

12. Python Dictionary

• Dictionary properties
• Dictionary Creation
• Dictionary Operations
• Dictionary Addresses
• Nested Dictionaries
• Dictionary Methods
• Insertion and Deletion of elements
• Differences b/w list tuple and set and Dictionary

13. Functions in Python

• Defining a function
• Calling a function
• Properties of Function
• Examples of Functions
• Categories of Functions
• Argument types
  • default arguments
  • non-default arguments
  • keyword arguments
  • non keyword arguments
• Variable Length Arguments
• Variables scope
• Call by value and Call by Reference
• Passing collections to function
• Local and Global variables
• Recursive Function
• Boolean Function
• Passing functions to function
• Anonymous or Lamda function
• Filter() and map() functions
• Reduce Function

14. Modules in Python

• What is a module?
• Different types of module
• Creating user defined module
• Setting path
• The import statement
• Normal Import
• From … Import
• Module Aliases
• Reloading a module
• Dir function
• Working with Standard modules -Math, Random, Date time and os modules,

15. Packages

• Introduction to packages
• Defining packages
• Importing from packages
• --init--.py file
• Defining sub packages
• Importing from sub packages

16. Errors and Exception Handling

• Types of errors
• Compile-Time Errors
• Run-Time Errors
• What is Exception?
• Need of Exception handling
• Predefined Exceptions
• Try,Except, finally blocks
• Nested blocks
• Handling Multiple Exceptions
• User defined Exceptions
• Raise statement

17. File Handling

• Introduction
• Types of Files in Python
• Opening a file
• Closing a file
• Writing data to files
• Tell( ) and seek( ) methods
• Reading a data from files
• Appending data to files
• With open stmt
• Various functions

18. OOPs Concepts

• OOPS Features
• Encapsulation
• Abstraction
• Class
• Object
• Static and non static variables
• Defining methods
• Diff b/w functions & methods
• Constructors
• Parameterized Constructors
• Built –in attributes
• Object Reference count
• Destructor
• Garbage Collection
• Inheritance
• Types of Inheritances
• Object class
• Polymorphism
• Over riding
• Super() statement

19. Regular Expressions

• What is regular expression?
• Special characters
• Forming regular expression
• Compiling regular expressions
• Grouping
• Findall() function
• Finditer() function
• Sub() function
• Match() function
• Search() function
• Matching vs searching
• Splitting a string
• Replacing text
• validations

20. Database Access

• Introduction
• Installing mysql database
• Creating database users,
• Installing Oracle Python modules
• Establishing connection with mysql
• Closing database connections
• Connection object
• Cursor object
• Executing SQL queries
• Retrieving data from Database.
• Using bind variables executing
• SQL queries
• Transaction Management
• Handling errors

21. Python Date and Time

• How to Use Date &DateTime Class
• Time and date Objects
• Calendar in Python
• The Time Module
• Python Calendar Module

22. Operating System Module

• Introduction
• getcwd
• listdir
• chdir
• mkdir
• rename file/dir
• remove file/dir
• rmtree()
• Os help
• Os operations

23. Advanced concepts

• Python Iterator
• Python Generator
• Python closure
• Python Decorators
• Web Scraping
• PIP
• Working with CSV files
• Working with XML files
• Working with JSON files
• Debugging

24. GUI Programming (tkinter)

• Introduction
• Components and events
• Root window
• Labels
• Fonts and colors
• Buttons, checkbox
• Label widget
• Message widget
• Text widget
• Radio button
• image

25. Excel Workbook

• Installing and working with Xlsx writer
• Creating Excel Work book
• Inserting into excel sheet
• Insetting data into multiple excel sheets
• Creating headers
• Installing and working with xlrd module
• Reading a specific cell or row or column
• Reading specific rows and columns

26. Data Analytics

• Introduction
• pandas module
• Numpy module
• Matplotlib module
• Working Examples

27. Introduction to Datascience

• Machine Learning Introduction
• Datasets
• Supervised /Unsupervised Learning
• Statistical Analysis
• Data Analysis
• Uni-variate/multi-variate analysis
• Corelation Analysis
• Algorithm types
• Applications

28. Python Pandas

• Introduction to Pandas
• Creating Pandas Series
• Creating Data Frames
• Pandas Data Frames from dictionaries
• Pandas Data Frames from list
• Pandas Data Frames from series
• Pandas Data Frames from CSV, Excel
• Pandas Data Frames from JSON
• Pandas Data Frames from Databases
• Pandas Data Functionality
• Pandas Timedelta
• Creating Data Frames from Timedelta
• Pandas Groupings and Aggregations
• Converting Data Frames from list
• Creating Functions
• Converting Different Formats
• Pandas and Matplotlib
• Pandas usecases

29. Python Numpy

• Introduction to Numpy
• Numpy Arrays
• Numpy Array Indexing
• 2-D and 3Dimensional Arrays
• Numpy Mathematical operations
• Numpy Flattening and reshaping
• Numpy Horizontal and Vertical Stack
• Numpy linespace and arrange
• Numpy asarray and Random numbers
• Numpy iterations and Transpose
• Numpy Array Manipulation
• Numpy and matplotlib
• Numpy Linear Algebra
• Numpy String Functions
• Numpy operations and usecases
• Numpy Working Examples

30. Python Matplotlib

• Introduction to matplotlib
• Installing matplotlib
• Generating graphs
• Normal plottings
• Generating Bargraphs
• Histograms
• Scatter plots
• Stack plots
• Pie plots
• Matplotlib working examples

DJANGO

1. INTRODUCTION

• What is Django?
• Why Django? Key Advantages
• History of Django
• Features of Django
• Characteristics of Django
• Companies Using Django
• Difference b/w MVC and MVT
• Models Views and Templates

2. WEB FRAMEWORKS

• What is a Web Framework?
• What is a server?
• HTTP Requests and HTTP Responses
• What is a web framework ?
• What is a web application?
• Steps in Developing web application.

3. DJANGO INSTALLATION

• Django Architecture
• Django Installation
• Virtual Environment
• Working with Pycharm
• Working with ATOM
• Developing First Django Application

4. DJANGO PROJECT ARCHITECTURE

• Exploring manage.py,
• Exploring urls.py
• Exploring settings.py,
• Exploring admin.py,
• Exploring models.py,
• Exploring views.py,
• Application creations and Examples

5. DJANGO APPLICATION CREATION

• steps in Application creation
• Working with views
• Working with HTML and CSS
• Working with Bootstrap
• Django Application creation in Atom
• Django Application creation in Pycharm
• project with multiple Applications
• Reusing a Application in different projects
• working with staticfiles

6. DJANGO VIEWS

• Requesting a web page via URL
• Rendering web page via view function
• Render HttpResponse to templates
• Application with multiple views
• Understanding context object and dictionary type
• GET and POST methods

7. DJANGO TEMPLATES

• Template tags
• Template Filters
• Template API
• Passing Dynamic content to template file
• Passing multiple dict values to template
• Loading static files
• Adding image file to template
• Advanced Templates
• Template library
• custom template filter
• custom templates tags
• Registering the tags

8. DJANGO ADMIN

• Activating the Admin interface
• Creating super user for Admin site
• Using the Admin site
• How to use the Admin site

9. DJANGO MODELS

• Working with models and databases
• Defining Models
• Model Fields
• Defining forms
• ModelForms
• makemigrations and migrate
• Registering models in settings.py
• Registering models with Admin site
• Connecting with sqlite3
• Connecting with MySQL
• Connecting with Oracle

10. ADVANCED CONCEPTS

• Django ORM
• Faker Module
• Class based views
• Form validation
• Rendering forms
• crispy forms
• MultiselectField
• Embeded Video
• Uploading and downloading Files
• Working with Audio and video
• Integrating with legacy databases and applications
• Sessions users Registrations
• Security
• Django Deployment
• Other Contributed Frameworks

UI Technologies

HTML

• Introduction to WEB
• HTML Basic Tags
• HTML Formatting Tags
• HTML Lists
• HTML Tables
• HTML Images
• HTML Anchors
• HTML Forms
• HTML Input Elements
• HTML Form Attributes
• HTML Frames
• HTML GET/POST
• HTML5 Drag/Drop
• HTML Canvas
• HTML Multimedia

CSS

• CSS Basics
• CSS Introduction
• CSS Syntaxes
• CSS Styling
• Styling Backgrounds
• Styling Fonts
• Styling Links
• Styling Lists
• Styling Tables
• CSS Borders
• CSS Selectors
• CSS Fonts
• CSS Text Effects
• CSS Backgrounds
• CSS keyframes Rule
• CSS Multiple Columns

JAVASCRIPT

• What is Script? Types of Scripts?
• Introduction to JavaScript
• Comments and Types of Comments
• Popup Boxes
• Variables & Operators
• JavaScript Functions and Events
• Conditional Statements
• Looping Control Statements
• Types of Errors
• Exception Handling
• Java Script Objects
• Browser Objects
• Validations in JS

MYSQL

SQL

• SQL Introduction
• Installing a Database
• Creating database
• Creating Tables
• insertions
• deletions
• updations
• Groupings and Aggregations
• Eliminating Duplicates
• Filtering
• ordering
• merging tables
• Horizontal Merging
• Vertical Merging
• Types of Joins
• Various Built-in Functions
• working with queries
• Sub-queries