Python Full Stack with AWS (4 Months)

Why to choose Python & Programming basics  (slides)

Download Python Idle

Advance Python with deep dive of frameworks includes

Backend: SQL, Selenium, Pandas, Matplotlib, Tkinter , Paramiko, AWS  Cloud Integration .

Frontend : Django, Flask, Ajax, Websockets, HTML, CSS,  Bootstrap , Java script, WordPress.

• Web designing, Data base, Web Scraping, Automation, Routers/Linux machine automation, Excel handling ,Charts & Designs & basics of cloud computing with Interacting with Cloud Api`s.

This course is only designed for

• Intermediate:  Professional have basic knowledge of languages need to learn Python & frameworks to apply in their respective domain.
• Experienced Experts: Who want to learn Python with live  application in It Industry who  want to switch their domain

LEARNING OUTCOMES

• Over 30 lectures and 70 hours of content!
• Teaching Method -IT Industry base.

• Course content designed by considering current Industry requirement and the job market.
• Practical assignments at the end of every session.
• Practical learning experience with live project work and examples.

Topic to be Covered for Python

• Basics of Programming
•  What is Programming & Programming language??
• Which language to choose & why so many is there?
• Which one to choose Compiled Vs Interpreted.

• Introduction to Python
• Difference between Python and other programming languages
• Different Python version and the implementation & Installing Python – IDLE
• Syntax
• Value and Variables
• String
• Casting
• Operators
•  Floating-point Types
• Control Codes within Strings
• User Input
• The “eval” Function
• Controlling the print Function

• Expressions and Arithmetic 
• Operator Precedence and Associativity
• Comments
• Errors
• Syntax Errors
• Run-time Errors
• Logic Errors
• Arithmetic Examples
• More Arithmetic Operators
• Algorithms

• Data Structures
• List (Covering all the in-built list methods, slicing , list comprehensions, List processing)
• Tuples
• Sets
• Dictionary (Covering all the in-built methods for dictionary)

• Decision Making and Loop
• Control flow and syntax
• ‘if’ statement
• ‘for’ loop
• ‘while’ loop
• break, continue and pass statements

• Functions
• Calling a function (with and without arguments)Python Advanced
• Decorators, lambda and Callback Functions etc
• Discuss the various properties of function in Python
• How to make a Decorators
• Lambda
• Generator functions and expressions
• Call back functions
•  Exception Handling
• Default Exception Handler
• Catching Exceptions
• Raise an Error • Assert •
• Try-except-else block
• Try-finally block
•  User defined exceptionFiles and directories

• File handling
• Read and Write Operation on a File
• Working with directories
• Discussing os.walk
• Discussing built file methodsPython Advanced
• Working with Excel • Pandas
• Excel read/ Write Operations
• ChartsPython Advanced
• Pickle
• What is pickle in Python, its importance and use-case
• How to create a pickle object
• Small Use case example of pickle objectPython

• Class and objects 
• Creating Classes
• Understanding Class and Instance variables
• Understanding ‘property’ decorator
• Inheritance
• Magic Methods
• Method Overriding
• Data Mangling
• Iterable objects

• Multithreading and Multiprocessing
• Understanding the difference between Multithreading and Multiprocessing
• Implementation of Multithreading in Python
• Limitation of Multithreading in Python (Global interpreter lock)
• Implementation of Multiprocessing in Python

• Introduction to Data Base
• Relational Database vs Non relational database
• Using Python SQL Module (MariaDb)
• Sqllite
• No Sql (MongoDb)

• Cloud Computing
• Basics of Cloud computing
•  Application of python in cloud
•  Interacting with Cloud Api`s
•  Deployment in cloud.

• Basics of Web scraping & Api`s
• Selinium
• Beautiful soap
• Rest api

•  Import of packages in Python
• Memory Management
•  Working with Json data