Python Fullstack

Who This Course is For and Why to Take It

WHO:Aspiring Python Developers: Individuals looking to start a career in software development will find this course an introduction to Python.Software Engineers: Developers aiming to enhance their skills in Python will benefit from a deeper understanding of Python’s capabilities and ecosystem.Data Scientists and Analysts: Professionals interested in utilizing Python for data analysis, and machine learning, and scientific computing.Web Developers: Professionals aiming to use Python for server-side development, exploring frameworks like Django and Flask for dynamic web applications.Students and Graduates: Recent graduates looking to specialize in Python programming and prepare for diverse software development roles.Automation and DevOps Engineers: Professionals who use automating processes using Python to streamline workflows and enhance productivity.

WHY:This course offers a blend of academic knowledge and IT industry experience, making it suitable for freshers who wish to start working on Python projects with confidence. It covers the essential concepts and practical applications of Python, ensuring that participants meet the entry-level criteria for Python-related interviews. Moreover, this course provides the confidence and skills necessary for freshers to begin contributing to Python projects from their very first day in the industry.

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Description

INTRODUCTION TO PYTHON

Python is dynamically typed, compiled and interpreted, procedural and object-oriented, generalized, general-purpose, platform-independent programming language. Python is a high-level, structured, open-source programming language that can be used for a wide variety of programming tasks.

Dynamically typed: In a dynamically typed programming language, you don’t need to declare the type of a variable before using it. 

								age = 20             # int
								name = "raja babu"   # str
								width = 10.4         # float

Note: Python is a dynamically typed programming language.

General Purpose PL: A programming language is considered general-purpose if it can be used for various types of applications. Python is a general-purpose programming language and can be used for:

  • GUI Applications (using tkinter)
  • Web Applications (using Django)
  • Mobile Applications (using Kivy)
  • Embedded Applications, Deep Learning (DL), Machine Learning (ML), etc.
Example of a GUI: 

								from tkinter import *
								obj = Tk()

Note: Python is a general-purpose programming language.

Course Contents

Core Python

1.Introduction to Python

  • Introduction
  • introduction to linux
  • hello world program in c cpp java python
  • how to compile and how to run in c cpp java python
  • generic operation chain
  • c operation chain
  • c++ operation chain
  • java operation chain
  • python operation chain
  • what is CPython
  • what is PVM
  • what is Python
  • script mode
  • interactive mode
  • python2 vs python3

    • 2.Operators

  • what is operator
  • what is operand
  • what is expression
  • types of operator
  • unary, binary, ternary operator
  • arithmatic operator
  • assignment operator
  • compaund assignment operator
  • relational operator / comparison operator
  • conditional operator
  • bit wise opeator
  • logical operator
  • special operator
  • membership operator
  • identity operator

    • 3.Data Types

  • partially object oriented vs purelly object oriented
  • types of data types
  • how to create object
  • RTTI Operator
  • what is identifier
  • int class
  • float class
  • complex class
  • bool class
  • NoneType class
  • list class
  • tuple class
  • set class
  • dict class
  • str class

    • 4.Memory Management

  • Memory Manager
  • Global Interpreter Lock
  • Garbage Collector
  • role of pvm
  • code segment
  • heap segment
  • stack segment
  • how int object allocates memory
  • what is hashable object
  • what is un-hashable object
  • how list object allocates memory
  • what is container object
  • what is contained object
  • reference vs copy
  • shallow copy
  • deep copy

    • 5.Control Structure & Control Statement

  • decision making control structure ( if elif else )
  • structural pattern matching program ( match case )
  • loop control structure ( while else , for else )
  • break
  • continue
  • pass

    • 6.Function

  • what is function
  • how to define function
  • how to call function
  • control flow during function definition and function call
  • global variable
  • local variable
  • argument or parameter
  • actual param
  • formal param
  • call by value
  • call by reference
  • call by reference as call by reference
  • call by reference as call by value
  • nested function
  • first class object
  • nonlocal keyword
  • caller function
  • called function
  • return stmt
  • yield stmt
  • generator function
  • generator object
  • generator expression
  • types of arguments
  • starred expression
  • function overloading
  • function recursion
  • marits of using function
  • limitation of using function
  • lambda function
  • map, filter, reduce

    • 7.Module & Package

  • what is modular style programming
  • what is module
  • what is member
  • what are the types of member
  • how to access module
  • how to rename module
  • how to access member
  • how to rename member
  • how to access multiple member
  • how to rename multiple member
  • how to access all member
  • explicit member & implicit member
  • __file__, __doc__, __name__
  • how to reload a module
  • what is package
  • what is __init__.py
  • what is subpackage

    • 8.File Handling

  • why file
  • what if file handling
  • input operation & output operation
  • file handling architecture
  • how to create the copy of file from hd to ram
  • what is file pointer
  • how to initialize file pointer
  • how to destroy the copy from ram
  • read method
  • seek method
  • tell method
  • readline method
  • readlines method
  • write method
  • writelines method
  • text file vs binary files
  • load operation & dump operation
  • how to handle csv file & excel file

    • 9. Command Line Argument

  • what is command line argument
  • what is argv
  • what is argc
  • types of ways to consume data
  • hardcoded input
  • run time input
  • function input
  • module & package input
  • command line argument input
  • why command line argument

    • 10.Exception Handling

  • syntax error
  • exception
  • common exception
  • method resolution order
  • try - risky code
  • except - alternative code
  • else - success code
  • finally - clean up code
  • how to handle exception
  • how to handle multiple exception
  • how to handle exceptions using BaseException
  • Nested exception handling
    • Object Oriented Programing Structure

    11.Class & Object

  • why class
  • how to define class
  • why object
  • how to define object
  • class vs object
  • class namespace
  • object namespace /instance namespace

    • 12.Data Member

  • what is attr
  • types of attr
  • class attr / static attr
  • object attr / instance attr / instance attr
  • class attr vs inst attr
  • static data member vs non static data member

    • 13.Member Function / Method

  • limitation of using function
  • why method
  • what is method
  • types of method
  • non static method
  • class method
  • static method
  • what is self
  • what is cls

    • 14.Constructor, Destructor & Garbage Collector

  • why constructor
  • what is constructor
  • default constructor
  • param constructor
  • representation method
  • what is destructor
  • garbage collector

    • 15.Operator Overloading

  • why opertor overloading
  • how to overload operator
  • overloading arithmatic operator
  • overloading relational operator
  • overloading membership operator

    • 16.Type Conversion

  • what is type conversion
  • types of conversion
  • predefined to predefined
  • predefined to user defined
  • user defined to pre defined
  • use defined to user defined

    • 17.Relation

  • what is relation
  • types of relation
  • is-a relation
  • has-a relation
  • what is association
  • what is aggregation

    • 18.Inheritance

  • why inheriance
  • what is inheritance
  • how to implement inheritance
  • types of attr duing inheritance
  • parent static
  • parent non static
  • child static
  • child non static
  • super () mechanism
  • types of inheritance
  • MRO - method resolution order

    • 19.Polymorphism

  • what is polymorphism
  • types of polymorphism
  • what is method overriding
  • what is metod hiding
  • what is method overloading

    • 20.Abstract Method & Abstract Class

  • what is abstract
  • what is abstract method
  • what is abstract class
  • protocal to deal with abstract class
  • real time use of abstract method & class
    • Introduction to Database

    A database is simply a structured and systematic way of storing information to be accessed, analyzed, transformed, updated and moved (to other databases).

    1. Types of Data Base Management Soft and Classification
    2. Codd's Rule (Golden Rule of Database)
    3. Pure and significand Difference among DBMS, RDBMS, ORDBMS
    4. What is Table ?
    5. What is a Record ?
    6. What is Field ?
    7. Super Key
    8. Candidate Key
    9. Primary Key
    10. Composite Key
    11. Secondary or Alternative key
    12. Non-key Attribute
    13. Non-prime Attribute
    14. Normalization
    15. Problem Without Normalization
    16. Normalization Rule
    17. First Normal Form (1NF)
    18. Second Normal Form (2NF)
    19. Third Normal Form (3NF)
    20. Byte and Code Normal Form (BCNF)
    21. Relationship
    22. Binary Relationship
    1. Recursive Relationship
    2. Ternary Relationship
    3. Generalization
    4. Specialization
    5. Aggregation
    6. Introduction to SQL
    7. DDL : Data Definition Language
    8. DML : Data Manipulation Language
    9. TCL : Transaction Control Language
    10. DCL : Data Control Language
    11. DQL : Data Query Language
    12. Creating a Database
    13. Creating a Table
    14. Datatype and Magnitude
    15. Data Type and Magnitude with context to Performance of the Database
    16. Sub Query and Co Related Sub Queries
    17. WHERE clause
    18. Operators (Relational(<,<=,>,>=,=,!=), Logical (And, Or, Not), Like, Between, in ,
    19. Some, Any ,All
    20. Order By Clause
    21. Group By Clause
    1. HAVING Clause
    2. Distinct keyword
    3. Concept of NULL
    4. SQL Functions
    5. System Define Procedure / Functions
    6. Join in SQL (Difference between Pro SQL 99 and SQL 99 Standard)
    7. Inner Join
    8. Outer Join
    9. Left Join
    10. Right Join
    11. Full Outer Join
    12. Self-Join
    13. Cross Apply
    14. Outer Apply
    15. SQL Alias
    16. SQL View & Common Table Expression
    17. Materialized View and its Use, with context to views, Different types of View i.e. Classification
    18. SQL Functions and Procedure and there primary difference , Where what to be imposed
    19. Exception Handling
    20. INDEX
    21. TRIGGER
    Advance Python

    21.Process

  • Parent Process
  • Child Process
  • Orphan Process
  • Zombie Process
  • Daemon Process
  • Forking , Exiting Child
  • Waiting for the Child

    • 22.Signals

  • Some Common Signals
  • Signal Handler
  • signal.signal() method
  • Handling signals
  • Handling SIGCHLD signal
  • Handling SIGINT signal

    • 23.Multi-Threading

  • Starting a new thread
  • The threading module
  • Creating thread using threading module
  • Synchronizing threads
  • Multithreaded priority queue

    • 24.Network Programming

  • Sockets
  • The socket module
  • Server socket methods
  • Client socket methods
  • General socket methods
  • Transmission control protocol
  • User datagram protocol

    • 25.Databases Programming

  • What is MySQL?
  • Install MySQL
  • Database connection
  • Creating database table
  • Insert operation
  • Read operation
  • Update operation
  • Delete operation
  • Performing transactions
  • Commit operation
  • Rollback operation
  • Disconnecting database
  • Handling errors

    • 26.Graphical User Interface

  • Introduction
  • What’s Tkinter?
  • Hello, Tkinter
  • Layout management
  • Widgets
  • Menus & toolbars
  • Login page
  • Signup page

    • 27.Data visualization

  • Installation of Matplotlib
  • Pyplot
  • Dot point , Multiple point
  • Marker
  • line graph
  • Bar , Pie chart
  • Box Plot
  • Histogram , Scatter plot
  • 3d Scatter plot

    • 28.Numpy

  • Indexing
  • Slicing
  • Iterating
  • Split
  • Sort
  • search

    • 29.Pandas

  • Series
  • Data frames
  • Csv
  • Json

    • 30.Django

  • Introduction
    • Introduction to Django

    Django is a free and open-source, Python-based web framework that follows the model–template–views (MTV) architectural pattern. Its primary goal is to ease the creation of complex, database-driven websites.

    Django FrameWork

    1. Introduction & installation
    2. App and project
    3. Add templates & static
    4. jinja.
    5. Migration in detail.
    6. Admin in Django
    7. Views in Django.
    8. URL Routing.
    9. Template in Django
    10. Models in Django.
    11. Forms in Django.
    12. Auth
    13. Session and cookie
    14. File uploading
    15. File downloading
    16. SMS and Mail
    17. Middleware
    18. cron job
    19. pdf generator
    20. face recognition

    API

    1. API in python
    2. REST methods
    3. Json calling
    4. Pytest
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