Python FullStack Developer Course in Hyderabad

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Python Training course Curriculum

Our Python course syllabus is framed by our Industry Expert Mr. Kusu Srinivas Sir. This Python and Django course content covers all the Latest Topics from Basics to Advanced Level Like Python for Deep Learning, Machine Learning, AI, Web development, Data Science, Desktop GUI Applications, Game Development and Business Applications.

Module 1: An Introduction To Python
- What can Python do?
- Why Python?
- what is Python?
- History of Python
- Advantages of Python
- Versions of Python
- Flavors of Python
- Python Syntax
- Python Software Installation
- Python Editors and IDE’s

Module 2: Python Basics
- The print statement
- Comments in Python
- Python Data Types
- Python Constants
- Python Variables
- Type Conversion Functions
- Python Data Structures & Data Types String Operations in Python
- input() Function
- Simple Output Formatting
- Operators in python
- Indentation in Python

Module 3: Flow Control statements in Python
- The If statement and its’ related statement
- while loop
- The for loop
- The range() Function
- Break, Continue and Pass statements
- Nested for loops

Module 4: Data Structure and Collections in Python
- List Data Structure
- Tuple Data Structure
- Set Data Structure
- Dictionary Data Structure
- String handling in Python
Module 5: List Data Structure
- List Properties
- List Creation
- List Indexing and Slicing
- List Operations
- Nested Lists
- List Mutable
- List insertion and deletion
- List Methods

Module 6: Tuple Data Structure
- Tuple Properties
- Tuple Creation
- Tuple Indexing and Slicing
- Tuple Operations
- Nested Tuples
- Tuple Immutable
- Difference between List & Tuple
- Tuple Methods

Module 7: Set Data Structure
- Set Properties
- Set Creation
- Set Operations
- Set Mathematical Operations
- Set Methods
- Insertion and Deletion operations

Module 8: Dictionary Data Structure
- Dictionary Properties
- Dictionary Creation
- Dictionary Operations
- Dictionary Methods
- Insertion and Deletion operations
- Differences between list, tuple, set and Dictionary

Module 9: Strings in Python
- Creating Strings
- String indexing
- string slicing
- String Concatenation & Repetition
- String Comparision
- String splitting and joining
- Finding sub Strings
- String case change
- Split strings
- string methods

Module 10: Functions in Python
- Built-in Functions
- Defining a Functions
- Calling a Functions
- Properties of Functions
- Create your own functions
- Examples of Functions

Module 11: Advanced Topics in Python Functions
- Actual and Formal parameters
- Positional Arguments
- Keyword Arguments
- Default Arguments
- Variable length arguments
- Keyword-variable length Arguments
- Scope of a Variable (local, global and nonlocal)
- Function Doc String
- Anonymous or Lambda Functions
- Recursive Functions
- Filter() and Map() Functions

Module 12: Python Modules and Packages
Module 13: Exception Handling in Python
- Types of Errors
- Compile-time Errors
- Run-time Errors
- What is Exception?
- Need of Exception handling
- Predefined Exceptions
- Try, Except, Finally blocks
- Handling Multiple Exceptions
- User defined Exceptions
- Raise statement

Module 14: File handling in Python
- what is File?
- Types of Files in Python?
- File handling Modes
- Reading Files
- Writing & Appending to Files
- Handling File Exceptions
- The with statement
- Tell() and seek() methods
- Binary Files
- CSV files
- Various built-in function in files

Module 15: Oops Concepts
- OOPS Features
- Data Encapsulation
- Data Abstraction
- Class
- Objects
- Static and non-static variables
- Defining methods
- Difference between functions & Methods
- Inheritance
- Types of Inheritances
- Polymorphism
- overriding
- Constructors
- Destructors
- Object Reference count
- Garbage collection
- Super() function

Module 16: Regular Expressions
- Re Module
- Regular expression Functions
- Metacharacters
- Special Sequences

Module 17: Advanced concepts in Pythons
- Python Iterators
- Python Generators
- Python Closures
- Python Decorators
- Web Scraping
- PIP
- Working with CSV files
- Working with XML files
- Working with JSON files
- Debugging

Module 18: Multi Threading in Python
- Defining a thread
- Starting a thread
- Threading module
- Threads Synchronization
- Locking a Thread
- Communication between Threads
- Multithreaded priority queue

Module 19: GUI in Python
- Introduction
- Components and events
- Root Window
- Fonts and colors
- Buttons, Checkbox
- Label widget
- Message widget
- Text widget
- Image

Module 20: Database Concepts
- Introduction
- Installation
- DB Connection, Creating DB Table
- INSERT, READ, UPDATE, DELETE operations
- COMMIT & ROLLBACK operation
- handling Errors

Module 21: Python Libraries
- Math
- Keyword
- Datetime
- os
- sys
- Random
- Platform
- Copy
- Array Module
- Calender Module
- Numpy
- scipy
- pandas
- matplotlib
- Scikitlearn
- seaborn

Module 22: Django
- Introduction to Django
- How to create Django Views
- Configuring URLconf's
- Django Templates
- Django Forms
- Database Models
- Django ModelForms
- Using Django Admin Interface
- Generic views
- Unit testing with Django
- Access Control with Sessions and Users
- Data Caching for Performance
- Django Email Functionality
- Django and REST APIs
- Deploying Django Applications