⦁ What is Language?
⦁ Types of languages
⦁ Introduction to Translators
⦁ Compiler
⦁ Interpreter
⦁ What is Scripting Language?
⦁ Types of Script
⦁ Programming Languages v/s Scripting Languages
⦁ Difference between Scripting and Programming languages
⦁ What is programming paradigm?
⦁ Procedural programming paradigm
⦁ Object Oriented Programming paradigm
⦁ What is Python?
⦁ WHY PYTHON?
⦁ History
⦁ Features – Dynamic, Interpreted, Object oriented, Embeddable, Extensible, Large standard libraries, Free and Open source
⦁ Why Python is 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
⦁ 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, Visual Studio Code,
⦁ Python Implementation Alternatives/Flavors
⦁ Keywords
⦁ Identifiers
⦁ Constants / Literals
⦁ Data types
⦁ Python VS JAVA
⦁ Python Syntax
⦁ Interactive Mode
⦁ Scripting Mode
⦁ Programming Elements
⦁ Structure of Python program
⦁ First Python Application
⦁ Comments in 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
⦁ Modules
⦁ Introductionbytes Data Type
⦁ byte array
⦁ String Formatting in Python
⦁ Math, Random, Secrets
⦁ Initialization of variables
⦁ Local variables
⦁ Global variables
⦁ ‘global’ keyword
⦁ Input and Output operations
⦁ Data conversion functions – int(), float(), complex(), str(), chr(), ord()
⦁ 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 “==”
⦁ Print
⦁ Input
⦁ Command-line arguments
⦁ 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
⦁ 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
⦁ 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
⦁ Hardcopy, shallowCopy and DeepCopy
⦁ zip() in Python
⦁ How to unzip?
⦁ Python Arrays:
⦁ Case studies
⦁ 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
⦁ 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
⦁ 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
⦁ 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) arguments function
⦁ Keyword arguments function
⦁ Variable arguments functions
⦁ ‘pass’ keyword in functions
⦁ Lambda functions/Anonymous functions
⦁ map()
⦁ filter()
⦁ reduce()
⦁ Nested functions
⦁ Non local variables, global variables
⦁ Closures
⦁ Decorators
⦁ Generators
⦁ Iterators
⦁ Monkey patching
⦁ 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
⦁ 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
⦁ 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
⦁ i) Method overriding
⦁ ii) Constructor overriding
⦁ Overloading
⦁ i) Method Overloading
⦁ ii) Constructor 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
⦁ What is Exception?
⦁ Why exception handling?
⦁ Syntax error v/s Runtime error
⦁ Exception codes – AttributeError, ValueError, IndexError, TypeError…
⦁ 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
⦁ 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
⦁ 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
⦁ 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
⦁ How to use Date & Date Time class
⦁ How to use Time Delta object
⦁ Formatting Date and Time
⦁ Calendar module
⦁ Text calendar
⦁ HTML calendar
⦁ 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
⦁ 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
⦁ Introduction
⦁ Importance of Manual garbage collection
⦁ Self reference objects garbage collection
⦁ ‘gc’ module
⦁ Collect() method
⦁ Threshold function
⦁ Case studies
⦁ 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
⦁ What is Sockets?
⦁ What is Socket Programming?
⦁ The socket Module
⦁ Server Socket Methods
⦁ Connecting to a server
⦁ A simple server-client program
⦁ Server
⦁ Client
⦁ 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
⦁ 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
⦁ Introduction to PYTHON Django
⦁ What is Web framework?
⦁ Why Frameworks?
⦁ Define MVT Design Pattern
⦁ Difference between MVC and MVT
⦁ Dimension & Description
⦁ Series
⦁ DataFrame
⦁ Data Type of Columns
⦁ Panel
⦁ Series
⦁ Create an Empty Series
⦁ Create a Series f
⦁ rom ndarray
⦁ rom dict
⦁ rom Scalar
⦁ Accessing Data from Series with Position
⦁ Retrieve Data Using Label (Index)
⦁ DataFrame
⦁ Create DataFrame
⦁ Create an Empty DataFrame
⦁ Create a DataFrame from Lists
⦁ Create a DataFrame from Dict of ndarrays / Lists
⦁ Create a DataFrame from List of Dicts
⦁ Create a DataFrame from Dict of Series
⦁ Column Selection
⦁ Column Addition
⦁ Column Deletion
⦁ Row Selection, Addition, and Deletion
⦁ Data Type Objects (dtype)
⦁ shape
⦁ ndim
⦁ itemsize
⦁ flags
⦁ empty
⦁ zeros
⦁ ones
⦁ asarray
⦁ frombuffer
⦁ fromiter
⦁ arange
⦁ linspace
⦁ logspace
⦁ Integer Indexing
⦁ Boolean Array Indexing
⦁ Iteration
⦁ Order
⦁ Modifying Array Values
⦁ External Loop
⦁ Broadcasting Iteration
⦁ reshape
⦁ ndarray.flat
⦁ ndarray.flatten
⦁ ravel
⦁ transpose
⦁ ndarray.T
⦁ swapaxes
⦁ rollaxis
⦁ broadcast
⦁ broadcast_to
⦁ expand_dims
⦁ squeeze
⦁ concatenate
⦁ stack
⦁ hstack and numpy.vstack
⦁ split
⦁ hsplit and numpy.vsplit
⦁ resize
⦁ append
⦁ insert
⦁ delete
⦁ unique
⦁ bitwise_and
⦁ bitwise_or
⦁ invert()
⦁ left_shift
⦁ right_shift
