Prompt Engineering Course in Hyderabad

• Overview of Prompt Engineering

• Importance in AI and Natural Language Processing (NLP)

• Historical Context and Evolution

Basics of Python Programming
Installation and Setup:
● Installing Python and setting up a development environment (IDEs
like PyCharm, VSCode, Jupyter Notebooks)
Syntax and Basic Constructs:
● Variables and data types (integers, floats, strings, booleans)
● Basic input and output
● Comments and documentation
Control Structures
 Conditional Statements:
● if, elif, else
 Loops:
● for, while
● Loop control statements (break, continue, pass)
Functions
Defining Functions:
● Parameters and return values
Scope and Lifetime:
● Local and global variables
Lambda Functions:
● Anonymous functions

Core Data Structures
Lists:
● Creating, accessing, modifying, and iterating over lists
● List comprehensions
Tuples:
● Creating and using tuples
● Unpacking tuples
Sets:
● Creating and using sets
● Set operations (union, intersection, difference)
Dictionaries:
● Creating and using dictionaries
● Dictionary methods and comprehensions
Advanced Data Structures
Collections Module:
● defaultdict, Counter, OrderedDict, deque

File Operations
Reading and Writing Files:
● Opening, reading, writing, and closing files
● Working with different file modes (r, w, a, rb, wb)
Working with CSV and JSON:
● Reading from and writing to CSV and JSON files using csv and json
modules

OOP Basics
Classes and Objects:
● Defining classes and creating objects
● Instance variables and methods
Class Variables and Methods:
● Using class variables and class methods
 Inheritance:
● Single and multiple inheritance
Polymorphism and Encapsulation:
● Method overriding
● Private variables and name mangling

Modular Programming
Creating and Importing Modules:
● Defining and using modules
Packages:
● Organizing code into packages
● Importing from packages

Error Handling
 Exception Types:
● Common exceptions (ValueError, TypeError, etc.,)
Try, Except Blocks:
● Using try, except, else, and finally
Custom Exceptions:
● Creating and raising custom exceptions
Debugging
Debugging Techniques:
● Using print statements and logging
● Using debuggers (pdb)

Decorators and Context Managers
Decorators:
● Function decorators
● Class decorators
Context Managers:
● Using with statement
● Creating custom context managers with __enter__ and __exit__
Iterators and Generators
 Iterators:
● Creating iterators using __iter__ and __next__
Generators:
● Creating generators with yield
● Generator expressions

 NumPy:
● Arrays and matrix operations
Pandas:
● DataFrames for data manipulation
● Reading and writing data (CSV, Excel)
Data Visualization
Matplotlib:
● Plotting graphs and charts
Seaborn:
● Statistical data visualization

Unit Testing
Unittest Framework:
● Writing and running tests
● Test fixtures and test suites
Pytest:
● Advanced testing with pytest