Python Training Online

Chapter 1 – Introduction to Python

• What is Python?
• Why Python?
• History
• Features – Dynamic, Interpreted, Object oriented, Embeddable, Extensible, Large standard libraries, Free and Open source
• Why is Python General Language?
• Limitations of Python
• What is PSF?
• 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
• Software Development Architectures

Chapter 2 – 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 Notebook, PyCharm, Rodeo, Visual Studio Code, ATOM, PyDevetc

Chapter 3 – Python Language Fundamentals

• Python Implementation Alternatives/Flavors
• Keywords
• Identifiers
• Constants / Literals
• Data types
• Python VS JAVA
• Python Synta

Chapter 4 – Different Modes of Python

• Interactive Mode
• Scripting Mode
• Programming Elements
• Structure of Python program
• First Python Application
• Comments on Python
• Python file extensions
• 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

Chapter 5 – Python Variables

• bytes Data Type
• byte array
• 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 ()

Chapter 6 – 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 “==”

Chapter 7 – Input & Output Operators

• Print
• Input
• Command-line arguments

Chapter 8 – Control Statements

• Conditional control statements
• If
• If-else
• If-Elif-else
• Nested if
• Loop control statements
• for
• while
• Nested loops
• Branching statements
• Break
• Continuing
• Pass
• Return
• Case studies

Chapter 9 – Data Structures or Collections

• Introduction
• Importance of Data structures
• Applications for 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

Chapter 10 – List Collection

• What is List
• Need for List collection
• Different ways of creating List
• List comprehension
• List indices
• Processing elements of List through Indexing and Slicing
• List of object methods
• List is Mutable
• Mutable and Immutable elements of List
• Nested Lists
• List of lists
• Hardcopy, shallow Copy and Deep Copy
• zip () in Python
• How to unzip?
• Python Arrays:
• Case studies

Chapter 11 – 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

Chapter 12 – 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 frozen set?
• Case study

Chapter 13 – 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

Chapter 14 – Functions

• What is Function?
• Advantages of functions
• Syntax and Writing function
• Calling or Invoking function
• Classification of Functions
• No arguments and No return values
• With arguments and No return values
• • With arguments and with return values
  • No arguments and with return values
  • Recursion
  • Python argument type functions:
    • Default argument functions
    • Required (Positional) argument’s function
    • Keyword argument’s function
    • Variable arguments functions
  • ‘Pass’ keyword in functions
  • Lambda functions/Anonymous functions
    • map ()
    • filter ()
    • reduce ()
  • Nested functions
  • Nonlocal variables, global variables
  • Closures
  • Decorators
  • Generators
  • Iterators
  • Monkey patching

Chapter 15 –Advanced Python Python Modules

• Importance of modular programming
• What is module
• Types of Modules – Predefined, 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

Chapter 16 –Packages

• Organizing python project into packages
• Types of packages – predefined, user defined.
• Package v/s Folder
• py file
• Importing package
• PIP
• Introduction to PIP
• Installing PIP
• Installing Python packages
• Un installing Python packages

Chapter 17 –OOPs

• Procedural v/s Object oriented programming
• Principles of OOP – Encapsulation, Abstraction (Data Hiding)
• Classes and Objects
• 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

1. i) Method overriding
2. ii) Constructor overriding

• Overloading

1. i) Method Overloading
2. 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 resolution order (MRO)
• 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

Chapter 18 –Exception Handling & Types of Errors

• What is Exception?
• Why exception handling?
• Syntax error v/s Runtime error
• Exception codes – Attribute Error, Value Error, Index Error, Type Error…
  • Handling exception – try except block
  • Try with multi except
  • Handling multiple exceptions with single except block
• Finally block
  • Try-except-finally
  • Try with finally
  • Case study of finally block
• Raise keyword
  • Custom exceptions / User defined exceptions
  • Need to Custom exceptions
• Case studies

Chapter 19 –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

Chapter 20 –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

Chapter 21–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

Chapter 22 –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

Chapter 23 –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

Chapter 24–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

Chapter 25 –Garbage collection

• Introduction
• Importance of Manual garbage collection
• Self reference objects garbage collection
• ‘gc’ module
• Collect() method
• Threshold function
• Case studies

Chapter 26 –Python Data Base Communications(PDBC) (I)

• 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

Chapter 27 –Python-Data Base Communication II

• What is Database? Types of Databases
• What is Database Management System
• What is Relational DBMS?
• What is Big Data? Types of data?
• Oracle - SQLSERVER - MYSQL - DB2
• Postgre SQL - DataBase Sample
• Executing the Queries - Bind Variables
• Installing of Oracle Python Modules
• Executing DML Operations..!!
• Connecting to the Database
• Create a connection object.
• Create a cursor object to read/write

Chapter 28 –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

Chapter 29 –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

Chapter 30 –Data analytics modules

• Numpy
• Introduction
• Scipy
• Introduction
• Arrays
• Datatypes
• Matrices
• N dimension arrays
• Indexing and Slicing
• Pandas
• Introduction
• Data Frames
• Merge , Join, Concat
• MatPlotLib introduction
• Drawing plots
• Introduction to Machine learning
• Types of Machine Learning?
• Introduction to Data science
• argsort()
• lexsort()
• argmax() and numpy.argmin()
• nonzero()
• where()
• extract()