Launch Your Software Development Career with the Best Python Course in OMR

1. Introduction to Python

• Features of Python
• Python Virtual Machine (PVM)
• Frozen Binaries
• Memory management in Python
• Garbage collection in Python

2. Writing Our First Python Program

• Writing our first Python program
• Executing a Python program
• Getting help in Python
• Reopening the Python program in IDLE

3. Data Types in Python

• Comments in Python, Docstrings
• How Python sees variables
• Data Types in Python
• Sequences in Python
• Sets
• Literals in Python
• Determining the datatype of a variable
• Characters in Python
• User-defined datatypes
• Constants in Python
• Identifiers and Reserved words
• Naming conventions in Python

4. Operators in Python

• Arithmetic operators
• Using Python interpreter as calculator
• Assignment operators
• Unary minus operator
• Relational operators
• Logical operators
• Boolean operators
• Membership operators
• Identity operators
• Operator precedence and associativity
• Mathematical functions

5. Input and Output

• Output statements
• Various formats of print()
• Input statements

6. Command Line Arguments

• The built in argv[] list
• Entering various elements from command prompt
• Processing command line arguments

7. Control Statements

• if statement
• if … else statement
• if … elif … else statement
• while loop
• for loop
• Infinite loops
• Nested loops
• break statement
• continue statement
• pass statement
• assert statement
• return statement

8. Arrays Using NumPy

• Creating an array
• Importing the array module
• Indexing and slicing on arrays
• Types of arrays
• Working with arrays using numpy
• Creating arrays using linspace
• Creating arrays using logspace
• Creating arrays using arange() function
• Creating arrays using zeros() and ones() functions
• Mathematical operations on arrays
• Comparing arrays
• Aliasing the arrays
• Viewing and Copying arrays
• Slicing and indexing in numpy arrays
• Dimensions of arrays
• Attributes of an array
• reshape()
• flatten()
• Working with Multidimensional arrays
• The array() function
• ones() and zeros() functions
• eye() function
• reshape() function
• Indexing in multi dimensional arrays
• Slicing the multi dimensional arrays
• Matrices in numpy

9. Strings And Characters

• Creating strings
• Length of a string
• Indexing in strings
• Repeating the strings
• Concatenation of strings
• Checking membership
• Comparing strings
• Removing spaces from a string
• Finding substrings
• Strings are immutable
• Replacing a string with another string
• Splitting and joining strings
• Changing case of a string
• Checking starting and ending of a string
• String testing methods
• Formatting the strings
• Sorting strings

10. Functions

• Defining a function
• Calling a function
• Returning results from a function
• Returning multiple values from a function
• Functions are first class objects
• Pass by object reference
• Formal and actual arguments
• Positional arguments
• keyword arguments
• Default arguments
• Variable length arguments
• Local and global variables
• The global keyword
• Passing a group of elements to a function
• Recursive functions
• Function decorators
• Generators
• Structured programming
• Creating our own modules in Python
• The special variable name

11. Lambdas

• Introduction to Lambdas
• Using lambdas with filter() function
• Using lambdas with map() function
• Using lambdas with reduce() function

12. Modules and Packages

• Structured Programming
• Creating our own modules in Python
• The special variable __name__
• Creating our own Package
• Accessing the modules from the package

13. Lists and Tuples

• Creating lists using range() function
• Updating the elements of a list
• Concatenation of two lists
• Repetition of lists
• Membership in lists
• Aliasing and cloning lists
• Methods to process lists
• Nested lists
• List comprehensions
• Tuples
• Creating tuples
• Accessing the tuple elements
• Basic operations on tuples

14. List Comprehensions

• List comprehension examples

15. Dictionaries

• Operations on dictionaries
• Dictionary methods
• Using for loop with dictionaries
• Sorting the elements of a dictionary using lambdas
• Converting lists into dictionary
• Converting strings into dictionary

Advanced Python Training:

16. Introduction to OOPS

• Problems in Procedure Oriented Approach

• Features of Object Oriented Programming System (OOPS)
• Classes and objects
• Encapsulation
• Abstraction
• Inheritance
• Polymorphism

17. Classes and Objects

• Self variable
• Constructor
• Types of variables
• Namespaces
• Types of methods: instance, class and static
• Passing members of one class to another class
• Inner classes

18. Inheritance and Polymorphism

• Constructors in inheritance
• Overriding superclass constructors and methods
• super() method
• Types of inheritance
• Method Resolution Order (MRO)
• Duck typing philosophy of Python
• Operator overloading
• Method overloading
• Method overriding

19. Abstract Classes and Interfaces

• Abstract Method and Abstract Class
• Interfaces in Python
• Abstract Classes vs. Interfaces

20. Exceptions

• Errors vs Exceptions
• Exception handling
• Types of exceptions
• The except block
• assert statement
• User- defined exceptions
• Logging the exceptions

21. Files in Python

• Types of files in Python
• Working with text files with strings
• Knowing whether a file exists or not
• with block
• Working with binary files
• Pickle in Python
• seek() and tell()
• Zipping and Unzipping files
• Running other programs from Python program

22. Regular Expressions in Python

• Sequence characters in regular expressions
• Quantifiers in regular expressions
• Special characters in regular expressions
• Using regular expressions on files
• Retrieving information from a HTML file

23. Date and Time

• The epoch
• Date and time now
• Combining date and time
• Formatting dates and times
• Finding durations using timedelta
• Comparing two dates
• Sorting dates
• Stopping execution temporarily
• Knowing the time taken by a program
• Working with Calendar module

24. Threads

• Difference between process and thread
• Concurrent programming and GIL
• Uses of threads
• Creating threads in Python
• Thread class methods
• Single tasking using a thread
• Multi tasking using multiple threads
• Thread synchronization
• Thread deadlock
• Daemon threads

25. Networking in Python

• TCP/IP Protocol
• User Datagram Protocol (UDP)
• Sockets
• Knowing IP Address
• Reading the source code of a web page
• Downloading a web page from Internet
• Downloading an image from Internet
• TCP/IP Server and Client
• UDP Server and Client
• File server
• File client
• Sending a simple mail

26. Python’s Database Connectivity

• Advantages of a DBMS over files
• Working with MySQL database in Python
• Operations on rows of a table
• Creating database tables through Python
• Working with Oracle database in Python
• Stored procedures

27. Graphical User Interface

• GUI in Python
• the root window
• Fonts and colors
• Working with containers
• Canvas
• Frame
• Widgets
• Button widget
• Label widget
• Message widget
• Text widget
• Scrollbar widget
• Checkbutton widget
• Radio Button widget
• Entry widget
• Menu widget

28. Data Analysis Using Pandas

• Introduction to data science
• What is data science?
• Data Frame
• Data Analysis
• Data visualization
• Line Chart, Bar Diagram, Histogram, Pie Chart

29. Data Visualization Using MatPlotLib

• Introduction to data science
• Data visualization – Line Chart, Bar Diagram, Pie Chart, Scatter Plot, Box Plot
• Histogram