Python (Core And Advance)

Python course is offered by Pythonsoft. Pythonsoft is a leading software training institute in India to provide quality training to students. As a training institute, we try to provide strong programming skills to our students. We provide both conceptual and practical-oriented training from very basic to advanced levels.

Content:

• 1. Introduction to python
• History of Python
• Why to learn python
• How is Python Different from other programming languages
• Installing Python and path setting
• How to run python programs
• 2. Basics of Python
• Variable
• Identifier
• Keywords
• Statements & Comments
• Indentation
• Data types(number,string,list,tuple,set,dictionary)
• Static Typing vs Dynamic Typing
• Input and output
• 3. Operators
• Arithmetic operator
• Relational Operator
• Assignment Operator
• Logical operator
• Bitwise operator
• Membership Operator
• Identity Operator
• 4. Control Flow
• If statement
• If - else
• If – elif -else
• Nested if – else
• While loop
• for – in loop
• Nested loop
• Loop with else
• Pass statement
• Break and continue
• 5. Functions
• Function Basics
• Defining function
• Function call
• Return statement
• Function parameters
• Call by value or call by reference
• Local and global variable
• Recursion
• Anonymous (lambda) function
• 6. Modules
• Defining module
• How to create module
• Importing module
• Dir ()
• Module search path
• Reloading a module
• Sys module
• Os module
• Namespace
• 7. Packages
• Defining package
• How to create package
• Importing package
• Installing third party packages
• 8. Numeric Types
• Numeric type basics
• Numbers
• Hexadecimal, Octal and Binary Notation
• Complex Numbers
• Type casting
• Numeric Functions
• Random number generation
• 9. String
• Defining a string
• Different ways to create string
• Accessing elements of string
• Escape sequence
• Raw string
• String methods
• String formatting Expressions
• 10. List
• Defining a list
• Creating list
• Accessing list elements of list
• Deleting list
• List methods
• Functions used with list
• List comprehension
• Implementation of stack and queue using list
• Use of Zip ()
• Matrix operations like addition ,multiplication using list
• Numpy array
• 11. Tuple
• Defining a tuple
• Creating a tuple
• Accessing elements of tuple
• Immutability
• List vs tuples
• Tuple Methods
• Functions used with tuple
• Advantage of Tuple
• 12. Dictionary
• Defining a dictionary
• Creating a dictionary
• Accessing elements of dictionary
• Deleting a dictionary
• Dictionary methods
• Dictionary Comprehension
• 13. Set
• Defining a set
• Creating set
• Set operations
• Set methods
• Set comprehension
• 14. File Handling
• Defining a file
• Types of file
• File operations
• Opening a File
• Closing file
• File modes
• File attributes
• Writing to file
• Reading from file
• Appending to file
• File positions
• Binary file
• Pickle module
• 15. Exception Handling
• Defining an exception?
• Default exception handler
• Exception handling techniques
• Detecting Exception (try)
• Catching exceptions (catch)
• Catching multiple exceptions
• Raising exception (raise)
• Finally block
• User defined exceptions
• 16. Object Oriented Programming
• Oop concepts
• Defining a class
• Creating object
• Method vs function
• Calling methods
• Instance attribute vs class attribute
• Instance method vs class method
• Private attribute and method
• Static method
• Method Overloading
• Constructor
• List of objects
• Inheritance
• Method overriding
• Operator overloading
• Abstract method
• Abstract class
• 17.Stack ,Queue  and Linked list
• Stack  data structure
• Push ,pop operations on stack
• Applications of stack
• Queue Data structure 
• Insert and delete operations
• Applications of Queue
• Linked list  and its types
• Creation of linked list
• Traversal in Linked list
• Applications of linked list
• 18. Multithreading
• Process based multi-tasking
• Thread based multi-tasking
• Creating a Thread without using class
• Creating thread using class
• Sleep () method
• Join () method
• Getting and setting name of Thread
• Synchronization
• Lock concept
• Is_Alive () method
• Active_count () method
• Enumerate () method
• Current_thread () method
• Daemon Thread
• 19. GUI Programming with Tkinter
• Introduction to tkinter
• Creating a window
• Tkinter widgets
• Label
• Button
• Entry
• Message box
• List
• Radio Button
• Check Button
• Creating Frame
• Create  a Random Number Picker
• Create a calculator
• 20. Database Programming
• Introduction to SQLite module
• Connecting to database by using sqlite3
• Creating table by sqlite3
• Performing SQL operations
• Introduction to MySQL
• Installing MySQL
• Creating database using MySQL
• Connecting MySQL database from python
• Creating table
• Performing SQL operations
• 21. Networking
• Introduction to Network programming
• Ip address
• Port Number
• Socket module
• Server socket
• Client socket
• Socket methods
• TCP socket
• UDP socket
• 22. Introduction to Data Science,Machine Learning  and AI using Python
• What is data Science ?
• Data Analytics vs Data Science
• What is machine learning?
• Types of Machine learning
• Supervised learning
• Unsupervised learning
• Reinforcement Learning
• What is deep learning
• What is AI
• Difference between Machine learning, deep learning and AI
• Project life cycle
• Applications of Machine learning and deep learning
• Python packages for data science ,machine learning and deep learning
• 23. Numpy
• Introduction to Numpy
• Different ways for Creating numpy array
• Array(),Arange(),linspace(),zeros(),ones()
• Advantage of Numpy array over List
• Mathematical operation on numpy array
• Reshaping numpy array
• Concatenation and splitting operation
• Trigonometric functions
• Matrix operations using numpy
• 24. Pandas
• Pandas series
• Pandas data frame
• Reading CSV files
• Parameters of read_csv()
• Read excel files
• Handling missing values
• Data cleaning and pre processing
• 25.Matplotlib
• Lineplot
• Barplot
• Scatter plot
• Pie chart
• 26.Seaborn
• Visualization using seaborn
• Line plot
• Bar plot
• Heat map
• 27. Web based programming  using Flask and Django
•  what is web based application
• HTML
• CSS 
• Java Script
•  Basics of FLASK
• Basics of Django
• 28. Project
• After learning python every student must do some project. Projects will increase the problem solving ability of student . I will personally guide the students in doing project work.