Python Training Course in Vijayawada

1. Introduction to programming
2. R or Python?
3. Why Python for Data Science?
4. Different job roles with Python
5. Different Python IDEs
6. Downloading and setting up a Python environment

Hands-On: Installing Python - IDLE

1. Python input and output operations.
2. Comments
3. Variables, rules for naming variables
4. Basic Data Types in Python
5. Typecasting in python

Hands-On: Using comments, variables, data types and type casting in the python program

• Tuples.
• Sets.
• Dictionary.
• Date and Time.
• Functions.
• Modules.

1. Creating strings
2. String formatting
3. Indexing
4. Slicing
5. String methods

Hands-on: Performing string operations

1. Creating lists
2. Properties of lists
3. List indexing
4. List slicing
5. List of lists
6. List Methods
7. Adding, Updating & removing elements from lists

Hands-On: Slicing, Indexing and using methods on lists

1. Syntax to create tuples
2. Tuple properties
3. Indexing on tuples
4. Slicing on tuples
5. Tuple methods

Hands-on: Working with tuples

1. Syntax for creating sets
2. Updating sets
3. Set operations and methods
4. Difference between sets, lists and tuples

Hands-on: Performing set operations in a program

1. Syntax for creating Dictionaries
2. Storing data in dictionaries
3. Dictionaries keys and values
4. Accessing the elements of dictionaries
5. Dictionary methods

Hands-on: Creating dictionaries and using dictionaries methods

1. Setting logic with conditional statements
2. If statements
3. If -else statements
4. If-elif-else statements

Hands-on: Setting logic in programs using conditional statements

1. Iterating with python loops
2. while loop
3. for loop
4. range
5. break
6. continue
7. pass
8. enumerate
9. zip
10. assert

Hands-on: Iterating with loops in python

1. Why List comprehension
2. Syntax for list comprehension
3. Syntax for dict comprehension

Hands-on: Using List and Dictionary comprehension

1. What are the Functions
2. Modularity and code reusability
3. Creating functions
4. Calling functions
5. Passing Arguments
6. Positional Arguments
7. Keyword Arguments
8. Variable length arguments (*args)
9. Variable Keyword length arguments (**kargs)
10. Return keyword in python
11. Passing function as argument
12. Passing function in return
13. Global and local variables
14. Recursion

Hands-on: Creating our own functions,passing arguments and performing operations

1. Lambda
2. Lambda with filter
3. Lambda with map
4. Lambda with reduce

Hands-on: Working with lambda, filter, map and reduce in python

1. Creating and using generators

Hands-on: Creating and using generators

1. Creating modules
2. Importing functions from a different module
3. Importing Variables from different modules
4. Python built-in modules

Hands-on: Creating and importing Modules

1. Creating packages
2. Importing modules from the package
3. Different ways of importing modules and packages

Hands-on: Creating and importing packages

1. Syntax errors
2. Logical errors
3. Handling errors using try, except and finally

Hands-on: Handling Errors with try and except.

1. Creating Classes & Objects
2. Attributes and methods
3. Understanding __init__ constructor method
4. Class and instance attributes
5. Different types of OF methods
6. Instance methods
7. Class methods
8. Static methods
9. Inheritance
10. Creating child and parent class
11. Overriding parent methods
12. The super() function
13. Understanding Types of inheritance
14. Single inheritance
15. Multiple inheritances
16. Multilevel inheritance
17. Polymorphism
18. Operator overloading

Hands-on: Creating classes, objects. Creating methods and attributes. Working with different methods. Using inheritance and polymorphism.

1. date module
2. time module
3. datetime module
4. time delta
5. formatting date and time
6. strftime()
7. striptime()

Hands-on: working with date and time

1. Understanding the use of regex
2. re.search()
3. re.compile()
4. re.find()
5. re.split()
6. re.sub()
7. Meta characters and their use

Hands-on: using regular expression to search patterns

1. Opening file
2. Opening different file types
3. Read, write, close files
4. Opening files in different modes

Hands-on: Reading, Writing, Appending, opening and closing files.

1. Installing BeautifulSoup
2. Understanding web structures
3. Chrome devtools
4. request
5. Scraping data from web using beautifulsoup
6. scraping static websites
7. Selenium
8. Scraping dynamic websites using selenium

Hands-on: Scraping static and dynamic websites using beautifulsoup and selenium

1. Accessing Database using sqlite3 and MySql
2. Creating tables
3. Insert Values
4. Commit changes
5. Query
6. Update and Delete

Hands-on: Connecting and Querying the database