Full Stack Python
Python Training Overview
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, and work on a real-time project running on Python
Who should do the course?
• Big Data Professionals
• IT Developer
• Those who are showing interest to build their career in Python.
Python Training Course Duration
• 35 Days, Daily 1 Hour
Python Course Content
Core Python:-
Introduction to Languages
• What is a Programming Language?
o Low-level Language
o High-level Language
o Compiler
o Interpreter
Introduction to Python
• What is Python?
• WHY PYTHON?
• History
• Features – Dynamic, Interpreted, Object oriented, Extensible, Large standard libraries, Free and Open source
• Why Python is General Language?
• Limitations of Python
• Python implementations
• Python applications
• Python versions
• PYTHON IN REALTIME INDUSTRY
• Difference between Python 2.x and 3.x
• Difference between Python 3.7 and 3.8
Python Software’s
• Python Distributions
• Download & Python Installation Process in Windows, Unix, Linux and Mac
• Online Python IDLE
• Python Real-time IDEs like Spyder, Jupyter Note Book, PyCharm, Rodeo, Visual Studio Code, ATOM, PyDev etc
Python Language Fundamentals
• Python Implementation Alternatives/Flavors
• Keywords
• Identifiers
• Constants / Literals
• Data types
• PYTHON VS Java
First program in Python
• Structure of Python program
• First Python Program
• Comments in Python
• Python file extensions(.py)
• Setting Path in Windows
• Edit and Run python program without IDE
• Edit and Run python program using IDEs
• INSIDE PYTHON
• Programmers View of Interpreter
• Inside INTERPRETER
• What is Byte Code in PYTHON?
• Python Debugger
Python Variables
• String Formatting in Python
• Math, Random, Secrets Modules
• Introduction
• Initialization of variables
• Local variables
• Global variables
• ‘global’ keyword
• Input and Output operations
• Data conversion functions – int(), float(), complex(), str(), chr(), ord()
Operators
• Arithmetic Operators
• Comparison Operators
• Python Assignment Operators
• Logical Operators
• Bitwise Operators
• Shift operators
• Membership Operators
• Identity Operators
• Ternary Operator
• Operator precedence
• Difference between “is” vs “==”
Input & Output Operators
• Input
• Command-line arguments
Control Statements
• Conditional control statements
• If
• If-else
• If-elif-else
• Nested-if
• Loop control statements
• for
• while
• Nested loops
• Branching statements
• Break
• Continue
• Pass
• Return
• Case studies
Data Structures or Collections
• Introduction
• Importance of Data structures
• Applications of Data structures
• Types of Collections
• Sequence
• Strings, List, Tuple, range
• Non sequence
• Set, Frozen set, Dictionary
Strings
• What is string
• Representation of Strings
• Processing elements using indexing
• Processing elements using Iterators
• Manipulation of String using Indexing and Slicing
• String operators
• Methods of String object
• String Formatting
• String functions
• String Immutability
• Case studies
List Collection
• What is List
• Need of List collection
• Different ways of creating List
• List comprehension
• List indices
• Processing elements of List through Indexing and Slicing
• List object methods
• List is Mutable
• Mutable and Immutable elements of List
• Nested Lists
• List_of_lists
• zip() in Python
• How to unzip?
• Python Arrays:
• Case studies
Tuple Collection
• What is tuple?
• Different ways of creating Tuple
• Method of Tuple object
• Tuple is Immutable
• Mutable and Immutable elements of Tuple
• Process tuple through Indexing and Slicing
• List v/s Tuple
• Case studies
Set Collection
• What is set?
• Different ways of creating set
• Difference between list and set
• Iteration Over Sets
• Accessing elements of set
• Python Set Methods
• Python Set Operations
• Union of sets
• functions and methods of set
• Python Frozen set
• Difference between set and frozenset ?
• Case study
Dictionary Collection
• What is dictionary?
• Difference between list, set and dictionary
• How to create a dictionary?
• PYTHON HASHING?
• Accessing values of dictionary
• Python Dictionary Methods
• Copying dictionary
• Updating Dictionary
• Reading keys from Dictionary
• Reading values from Dictionary
• Reading items from Dictionary
• Delete Keys from the dictionary
• Sorting the Dictionary
• Python Dictionary Functions and methods
• Dictionary comprehension
Functions
• What is Function?
• Advantages of functions
• Syntax and Writing function
• Calling or Invoking function
• Classification of Functions
o No arguments and No return values
o With arguments and No return values
o With arguments and With return values
o No arguments and With return values
o Recursion
• Python argument type functions :
o Default argument functions
o Required(Positional) arguments function
o Keyword arguments function
o Variable arguments functions
• ‘pass’ keyword in functions
• Lambda functions/Anonymous functions
o map()
o filter()
o reduce()
• Nested functions
• Non local variables, global variables
• Closures
• Decorators
• Generators
• Iterators
• Monkey patching
Advanced Python:
Python Modules
• Importance of modular programming
• What is module
• Types of Modules – Pre defined, User defined.
• User defined modules creation
• Functions based modules
• Class based modules
• Connecting modules
• Import module
• From … import
• Module alias / Renaming module
• Built In properties of module
Packages
• Organizing python project into packages
• Types of packages – pre defined, user defined.
• Package v/s Folder
• py file
• Importing package
• PIP
• Introduction to PIP
• Installing PIP
• Installing Python packages
• Un installing Python packages
OOPs
• Procedural v/s Object oriented programming
• Classes and Objects
• Principles of OOP – Encapsulation , Abstraction (Data Hiding)
• How to define class in python
• Types of variables – instance variables, class variables.
• Types of methods – instance methods, class method, static method
• Object initialization
• ‘self’ reference variable
• ‘cls’ reference variable
• Access modifiers – private(__) , protected(_), public
• AT property class
• Property() object
• Creating object properties using setaltr, getaltr functions
• Encapsulation(Data Binding)
• What is polymorphism?
• Overriding
i. Method overriding
ii. Constructor overriding
• Overloading
i. Method Overloading
ii. Constructor Overloading
iii. Operator Overloading
• Class re-usability
• Composition
• Aggregation
• Inheritance – single , multi level, multiple, hierarchical and hybrid inheritance and Diamond inheritance
• Constructors in inheritance
• Object class
• super()
• Runtime polymorphism
• Method overriding
• Method overriding in Multiple inheritance and Hybrid Inheritance
• Duck typing
• Concrete Methods in Abstract Base Classes
• Difference between Abstraction & Encapsulation
• Inner classes
• Introduction
• Writing inner class
• Accessing class level members of inner class
• Accessing object level members of inner class
• Local inner classes
• Complex inner classes
• Case studies
Exception Handling & Types of Errors
• What is Exception?
• Why exception handling?
• Syntax error v/s Runtime error
• Exception codes – AttributeError, ValueError, IndexError, TypeError…
o Handling exception – try except block
o Try with multi except
o Handling multiple exceptions with single except block
• Finally block
o Try-except-finally
o Try with finally
o Case study of finally block
• Raise keyword
o Custom exceptions / User defined exceptions
o Need to Custom exceptions
• Case studies
Regular expressions
• Understanding regular expressions
• String v/s Regular expression string
• “re” module functions
• Match()
• Search()
• Split()
• Findall()
• Compile()
• Sub()
• Subn()
• Expressions using operators and symbols
• Simple character matches
• Special characters
• Character classes
• Mobile number extraction
• Mail extraction
• Different Mail ID patterns
• Data extraction
• Password extraction
• URL extraction
• Vehicle number extraction
• Case study
File &Directory handling
• Introduction to files
• Opening file
• File modes
• Reading data from file
• Writing data into file
• Appending data into file
• Line count in File
• CSV module
• Creating CSV file
• Reading from CSV file
• Writing into CSV file
• Object serialization – pickle module
• XML parsing
• JSON parsing
Python Logging
• Logging Levels
• implement Logging
• Configure Log File in over writing Mode
• Timestamp in the Log Messages
• Python Program Exceptions to the Log File
• Requirement of Our Own Customized Logger
• Features of Customized Logger
Date & Time module
• How to use Date & Date Time class
• How to use Time Delta object
• Formatting Date and Time
• Calendar module
• Text calendar
• HTML calendar
OS module
• Shell script commands
• Various OS operations in Python
• Python file system shell methods
• Creating files and directories
• Removing files and directories
• Shutdown and Restart system
• Renaming files and directories
• Executing system commands
Multi-threading & Multi Processing
• Introduction
• Multi tasking v/s Multi threading
• Threading module
• Creating thread – inheriting Thread class , Using callable object
• Life cycle of thread
• Single threaded application
• Multi threaded application
• Can we call run() directly?
• Need to start() method
• Sleep()
• Join()
• Synchronization – Lock class – acquire(), release() functions
• Case studies
Python Data Base Communications(PDBC)
• Introduction to DBMS applications
• File system v/s DBMS
• Communicating with MySQL
• Python – MySQL connector
• connector module
• connect() method
• Oracle Database
• Install cx_Oracle
• Cursor Object methods
• execute() method
• executeMany() method
• fetchone()
• fetchmany()
• fetchall()
• Static queries v/s Dynamic queries
• Transaction management
• Case studies
Python – Network Programming
• What is Sockets?
• What is Socket Programming?
• The socket Module
• Server Socket Methods
• Connecting to a server
• A simple server-client program
• Server
• Client
Tkinter & Turtle
• Introduction to GUI programming
• Tkinter module
• Tk class
• Components / Widgets
• Label , Entry , Button , Combo, Radio
• Types of Layouts
• Handling events
• Widgets properties
• Case studies
Numpy & Pandas
• Numpy Introduction
• Numpy Datatypes
• Numpy Arrays
• Numpy Indexing & Slicing
• Numpy – Iterating over Array
• Numpy – Array Manipulation
• Numpy – String Functions
• Numpy – Arithmetic Operations
• Numpy – Sort, Search & Counting Functions
• Numpy – Matrix Library
• Pandas Introduction
• Pandas – Introduction to Data Structures
• Pandas – DataFrame
• Pandas – Function Application
• Pandas – Re-indexing
• Pandas – Sorting
• Pandas – Indexing & Selecting Data
• Pandas – Missing Data
• Pandas – GroupBy
• Pandas – Visualization
Data analytics modules
• Numpy
• Pandas
• MatPlotLib Introduction
• Drawing plots
• Introduction to Machine learning
• Types of Machine Learning?
Web Development
PART 1 – HTML 5
Web Programming Introduction
• Architecture of a website
• Different technologies in making the website
• Web Development Introduction
HTML-Introduction
• What are HTML Tags and Attributes?
• HTML Tag vs. Element
• HTML Attributes
HTML-Basic Formatting Tags
• HTML Basic Tags
• HTML Formatting Tags
• HTML Color Coding
HTML-Grouping Using Div Span
• Div and Span Tags for Grouping
HTML-Images
• Image and Image Mapping
HTML-Hyperlink
HTML-Table
• < table >
• < th >
• < tr >
• < td >
• < caption >
• < thead >
• < tbody >
HTML-Form
• < input >
• < textarea >
• < button >
• < select >
• < label >
PART 2 – CSS 3
CSS3-Introduction
• Benefits of CSS
• External Style Sheet using < link >
• Multiple Style Sheets
• Value Lengths and Percentages
CSS3-Color Background Cursor
• background-image
• background-repeat
• background-position
CSS3-Text Fonts
• color
• background-color
• text-decoration
• text-align
• vertical-align
• text-indent
• text-transform
• white space
• letter-spacing
• word-spacing
• line-height
• font-family
• font-size
• font-style
• font-variant
• font-weight
CSS3-Box Model
• Borders & Outline
• Margin & Padding
• Height and width
• CSS Dimensions
PART 3 – JAVASCRIPT
Introduction, Setup and Syntax
• Introduction
• Setup
• What is Javascript
• Course Exercise Files
• Practice App & Display Functions
• Using a Code Editor
• Variables
• Arrays
Javascript for Web Development
Javascript for Building app
Flask – Frontend Framework
• Introduction to Flask
• Using Python packages
• Web frameworks
• Decorators
• Routes
• Running Flask locally
• Building a basic dynamic site
• Debugging a Python program
• Python Part 2
• Booleans
• Conditional Statements
• Lists
• Indexing into strings + lists
• Looping over lists
REST API:
Designing RESTful Web APIs
• Rest API Overview
• What Is REST?
• Course Overview
• History of Distributed Computed
• HTTP in a Nutshell
• HTTP in Action
• What is REST
• An Example of a Well Designed API
• What We’ve Learned
Designing a RESTful API
• Introduction
• Designing for REST
• Demo: Using URIs
• Design Verbs
• Demo: Using Verbs
• Idempotency in Action
• Understanding Idempotency
• Designing Results
• Demo: Designing Your Results
• Formatting Results
• Demo: Formatting Results
• Hypermedia
• What We’ve Learned
Data Base
• Understanding the Database Schema
• Using Python SQL Libraries to Connect to a Database
• SQLite
• MySQL
• PostgreSQL
• Creating Tables
• SQLite
• MySQL
• PostgreSQL
• Inserting Records
• SQLite
• MySQL
• PostgreSQL
• Selecting Records
• SQLite
• MySQL
• PostgreSQL
• Updating Table Records
• SQLite
• MySQL
• PostgreSQL
End-to-End Python Real-time Project – 1
End-to-End Python Real-time Project - 2
Tags: Full-Stack Python
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