Durga Software Free Download Material Python Updated FREE
Durga Software Free Download Material Python
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Batch Date: Dec 31st @10:30AM
Faculty: Mr. Narayana
Duration : 45 days
Fee: 2300/-INR + Reg Fee 100/-INR (FREE Material)
Location : Maitrivanam, Hyderabad.
Venue :
DURGA SOFTWARE SOLUTIONS at Maitrivanam
Plot No : 202,
IInd Floor ,
HUDA Maitrivanam,
Ameerpet, Hyderabad-500038.
Ph.No : 09246212143, 80 96 96 96 96
Syllabus:
Name: Mr. Narayana (eight+ Yrs of Exp,..)
Core Python
1. Origin of Python
2. Introduction to Python and what is a Python
3. What can we do by using Python
four. Features and versions of Python
five. Different languages used to develop Python
6. Interactive mode and Script mode
7. Interpreter vs Compiler
8. Scripting vs Programming Languages
9. Reasons to learn or piece of work Python
x. Python Indentation
11. Comments and Quotations
12. Python Identifiers and Keywords
13. Variables
a. Assigning values to variables in unlike ways
b. Print(), type() and id()
14. Reading data from user
15. Working with input function
xvi. Python information types
17. Type conversions and eval()
Assignment - 1
18. Introduction to Information Structures
xix. Stringdata Structure
a. Different ways to create a cord
b. Cord indexing and string slicing
c. cord chain and string multiplication
d. string unpacking
e. splitting the data in different parts as per user
f. capitalize() and tittle() and split()
g. del, count(), detect(), swapcase()
h. contrary(),replace() and sort()
i. string immutable20. Listing Data Structure:
a. dissimilar means to create a list
b. creating and working with homogeneous lists
c. creating an working with heterogeneous lists
d. list indexing and list slicing
east. list concatenation and list multiplication
f. generating list by using range part
g. list unpacking and list mutable
h. creating nested lists and indexing nested lists
i. python range() and xrange() functions
j. python insert, append andextend
k. remove, popular and clear
l. python list ascending and descending
one thousand. converting given string data construction into list
n. converting given list data structure into string
o. creating list from user values
21. Tuple Information Construction
a. creating a tuple in different ways
b. creating and working with homogeneous tuple
c. creating and working with heterogeneous tuple
d. tuple indexing and tuple slicing
e. tuple concatenation and tuple multiplication
f. tuple unpacking and tuple immutable
one thousand. all, whatever, len and sort
h. del keyword
i. python tuple ascending and descending
j. creating and working with nested tuples
k. Conversions:
i. converting given string data structure into tuple
ii. converting given list data structure into tuple
iii. converting given tuple information construction into string
4. converting given tuple data structure into list
l. advantages of tuple over list data structure22. Ready Data Structure
a. Creating and working with set data structure in unlike ways
b. Normal sets and frozen sets
c. Ready mutable and unpacking ready data structure
d. Creating and working with sets with homogeneous elements
due east. Creating and working with sets with heterogeneous elements
f. Creating empty sets and modifying the empty sets
g. Why sets not support indexing and slicing
h. Add, remove and discard the elements to set data structure
i. Issubset, issuperset and isdisjoint
j. Union, intersection and defference
k. Intersection_update and defference_update
l. Symmetric_difference and symmetric_difference_update
g. Conversions:
i. Converting given string data structure into gear up
ii. Converting given list data construction into prepare
3. Converting given tuple data structure into set
four. Converting given set data construction into string
v. Converting given set data structure into list
6. Converting given ready data construction into tuple23. Dictionary Data Structure
a. Creating and working with lexicon information structure in different ways
b. Creating empty dictionary and working with empty lexicon
c. Working with key and value pairs
d. Lexicon mutable and unpacking dictionary
e. Adding and deleting central and value pairs to the existing information structure
f. Difference betwixt pop and popitem operations
g. Extracting merely keys from the existing data construction
h. Extracting only values from the existing information structure
i. Clear and pop methods
j. Del keyword and pop method
1000. Creating a lexicon from existing another data structure similar tuple
fifty. FAQs on all Information StructuresAssignment – ii
24. Operators
a. Arithmetics operators
b. Logical operators
c. Assignment operators
d. Comparing operators
e. Bitwise operators
f. Identity operators
k. Membership operators25. Python Functions and Arguments
a. Defining functions and working with functions
b. Using def keyword for functions
c. Called functions and part definition and calling functions
d. Formal arguments and actual arguments
e. Working with named arguments and keyword arguments
f. Default arguments and positional arguments
1000. Working with default arguments and normal arguments
h. *args and **kwargs arguments
i. Argument unpacking
j. Variable length arguments
g. Using data structures to function definitions
fifty. Nested functions
m. Dir() and Format() functions
n. Enumerate function
o. FAQs on functions and Arguments26. Lambda Functions
a. Creating functions past using lambda keyword
b. Departure betwixt def and lambda functions
c. Working with filter functions
d. Working with map functions
e. Working with reduce functions27. Control Statements
a. Simple If statement
b. If else statement
c. Elif argument
d. Nested if statement
e. Membership test for string
f. Membership test for tuple
g. Membership test for list
h. Membership examination for set
i. Membership examination for lexicon
j. FAQs on control statements28. Loopings
a. For loop
b. While loop
c. Laissez passer, proceed and break statements
d. Iterating over listing, tuple, set and dictionary29. Advanced Concepts on Information Structures
a. List comprehension
b. Dictionary comprehension
c. Nested data structuresAssignment – 3
Advanced Python
30. File Handling
a. Creating a file in a directory
b. Open the file in the python
c. Different ways to open up the file in Python
d. Writing to the file
e. Appending the data to the existing file
f. Modes of operations
m. Seek and tell methods
h. Readline and readlines
i. Working with words and characters in the file
j. Real-time scenarios on files
yard. Interview based questions on the file31. OOPS Concepts
a. Course and object
b. Class variables and instance variables
c. Constructor
d. Data hiding
e. Method overloading and overriding
f. Abstraction
one thousand. Inheritance
h. Polymorphism
i. Encapsulation32. Modules
a. What is module and purpose of modules
b. Different types of modules
c. Different means to import modules
d. Standard modules and user modules
e. From … import *
f. Creating own modules
one thousand. Using modules in other modules
h. Working with some standard modules
i. MATH, DATETIME, CALENDAR, SYS, Bone Modules33. Exception Handling in Python
a. What is an exception
b. Handling exceptions
c. Endeavour and except block
d. Handling multiple exceptions using multiple excepts
due east. Handling multiple exceptions using single except
f. Working with default except
g. Handling exceptions with else and finally blocks
h. Using assert for handling exceptions34. Logging in python
a. What is logging and purpose of logging
b. Creating a log file
c. Storing runtime events in log file
d. Different modes to store the data in log file
e. DEBUG, INFO, Warning, Fault, Disquisitional35. Iterators, generators and decorators
a. Working with yield keyword
b. Difference betwixt yield and render
c. Decorating a part with another role36. Unit Testing in Python
a. Importing unittest module
b. Calling all unit test cases
c. Calling specific unit test case
d. assertEqual, assertTrue and assertFalse37. Regular Expressions
a. Basics of regular expressions
b. Findall function
c. Search function
d. Match methods
i. Grouping
ii. Groups
e. Matching and searching
f. Compile and sub functions
1000. Mobile numbers verifications
h. Email ids verifications
i. Web scrapping38. Command Line Arguments
a. Reading control line arguments
b. Using command line arguments39. Working with Database Connexion
a. Connecting to database from Python application
b. Creating connection to the database from Python application
c. Creating database and tables from Python applications to the database
d. Fetching data and updating data in the entities.
e. Using cursor to execute SQL command in Python application
f. Using Fetchall and Fetchone methodsAssignment - 4
Advanced Concepts to Python
40. Introduction to Django framework
a. Introduction to Django framework
b. Creating a projection and application
c. Urls, models, templates and views files,
d. Introduction to web development
e. Introduction to Pycharm41. Numpy
a. Main advantages of Numpy arrays over Python lists
b. Creating normal arrays
c. Creating multi-dimensional arrays
d. Creating float type arrays, complex type arrays
e. Creating arrays with placeholders
f. Reshaping existing arrays
chiliad. Creating linspace arrays42. Scipy
a. Introduction to Scipy
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