Complete Python (Core and Advanced) with Mini Project

Name: Complete Python
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What you will get when you take this course:

World-class course content taught live by the expert Dr R Nageswara Rao.
Zoom link for the class daily from course start to end date to your mail.
Opportunity to clarify your doubts at the end of each class.
Placement Assistance by posting available jobs, exclusively for Datatechs students.
Certificate of Completion upon successful completion of the course.

Core Python Syllabus

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. DATATYPES IN PYTHON

Comments in Python, Docstrings
How Python sees variables
Datatypes 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. NUMPY - ARRAYS

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 Multi dimensional 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 sub strings
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 Syllabus

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 super class 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

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
Radiobutton widget
Entry widget
Menu widget

28. PANDAS - DATA ANALYSIS

Introduction to data science
What is data science?
Data Frame
Data Analysis
Data visualization
Line chart, bar diagram, histogram, pie chart

29. MATPLOTLIB - DATA VISUALIZATION

Introduction to data science
Data visualization
Line chart
Bar diagram
Histogram
Pie chart
Scatter plot
Box plot

30. SEABORN - ADVANCED DATA VISUALIZATION

Distribution plot
Count plot
Box plot
Joint plot
Scatter plot
Subplot
Lmplot
Pair plots
Heat map
Cat plot

31. * RESUME PREPARATION

How to create the best resume for you

32. PROJECT IMPLEMENTATION

What you learned will be used in developing a small project.

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