Advanced Python (with Project Letter)

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Advanced Python (with Project Letter)

Advanced Python (with Project Letter)

Rs.8,474.00

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SKU: cid_95618 Category:

Target Audience

The course can be taken by:

Students: All students who are pursuing professional graduate/post-graduate courses related to computer science / Information Technology.

Teachers/Faculties: All computer science teachers/faculties who wish to acquire new skills.

Professionals: All working professionals, who wish to enhance their skills.

Course Features

  • 24X7 Access: You can view lectures as per your own convenience.
  • Online lectures: Online lectures with high-quality videos.
  • Updated Quality content: Content is the latest and gets updated regularly to meet the current industry demands.
Test & Evaluation

1. During the program, the participants will have to take all the assignments given to them for better learning.

2. At the end of the program, a final assessment will be conducted.

Certification

1. All successful participants will be provided with a certificate of completion.

2. Students who do not complete the course / leave it midway will not be awarded any certificate.

Basic mathematical calculation skills and logical skills

Python Advanced Course: Day-Wise Schedule (1 Hour/Day)

Module 1: Foundation of Advanced Python (Days 1-7)

  • Day 1: Advanced Function Techniques - Decorators
    • Function Decorators (basic syntax and use)
    • Decorators with Arguments
    • Class Decorators (brief introduction)
    • functools.wraps for preserving metadata
  • Day 2: Advanced Function Techniques - Lambda & Closures
    • Lambda Functions: Syntax and use with map, filter, sorted
    • Closures and the nonlocal Keyword
  • Day 3: Efficient Iteration - Generators
    • Generator Functions (yield keyword)
    • Generator Expressions
    • yield from for delegating to sub-generators
    • Sending Values to Generators
  • Day 4: Efficient Iteration - Context Managers
    • with statement and its benefits
    • Class-based Context Managers (__enter__, __exit__)
    • contextlib.contextmanager decorator
  • Day 5: Concise Data Structure Creation - Comprehensions
    • List Comprehensions: Basic, Conditional, Nested
    • Dictionary Comprehensions: Basic, Conditional, Key-Value Manipulation
    • Set Comprehensions: Basic, Conditional
  • Day 6: Advanced Iterators & Iterables - Custom Iterators
    • Understanding __iter__ and __next__
    • Creating Custom Iterators from scratch
  • Day 7: Advanced Iterators & Iterables - itertools Module
    • count, cycle, chain
    • groupby, permutations, combinations (with examples)

Module 2: Advanced OOP Concepts (Days 8-14)

  • Day 8: Inheritance & Polymorphism - Basics
    • Multiple Inheritance and Method Resolution Order (MRO)
    • Abstract Base Classes (ABCs) with abc module
  • Day 9: Inheritance & Polymorphism - Advanced
    • Polymorphism and Duck Typing
    • Composition vs. Inheritance (design patterns)
  • Day 10: Special Methods - Object & Attribute Access
    • Object Representation (__repr__, __str__)
    • Attribute Access (__getattr__, __setattr__, __delattr__)
    • __getattribute__ (difference from __getattr__)
  • Day 11: Special Methods - Container & Numeric Emulation
    • Container Emulation (__len__, __getitem__, __setitem__, __delitem__, __contains__)
    • Numeric and Comparison Operations (brief overview)
  • Day 12: Class and Static Methods
    • @classmethod Decorator and Use Cases
    • @staticmethod Decorator and Use Cases
    • Difference and Application Scenarios
  • Day 13: Metaclasses
    • Understanding Type and Class Creation
    • Custom Metaclasses for Class Behavior Control
    • Real-world Examples of Metaclasses (brief)
  • Day 14: Descriptors
    • Understanding __get__, __set__, __delete__
    • Implementing Custom Descriptors
    • Use Cases: Property, classmethod, staticmethod (how they use descriptors)

Module 3: Multithreading and Multiprocessing (Days 15-19)

  • Day 15: Concurrency Fundamentals
    • Concurrency vs. Parallelism
    • Understanding the Global Interpreter Lock (GIL)
    • When to use Threads vs. Processes
    • Basic Concepts: Threads, Processes, Tasks
  • Day 16: Multithreading - Basics
    • threading Module: Thread class
    • Basic Thread Synchronization: Lock, RLock
  • Day 17: Multithreading - Advanced
    • Advanced Thread Synchronization: Semaphore, Event, Condition
    • Thread Pools with concurrent.futures.ThreadPoolExecutor
    • Thread Synchronization and Deadlocks
  • Day 18: Multiprocessing - Basics
    • multiprocessing Module: Process class
    • Inter-Process Communication (IPC): Queue, Pipe
    • Process Synchronization: Lock, Event
  • Day 19: Multiprocessing - Advanced & Best Practices
    • Process Pools with concurrent.futures.ProcessPoolExecutor
    • Common Pitfalls and Best Practices
    • Debugging Concurrent Code, Resource Sharing, Race Conditions
    • Choosing the Right Concurrency Model

Module 4: Data Manipulation and Visualization (NumPy, Pandas, Matplotlib) (Days 20-25)

  • Day 20: NumPy Fundamentals
    • ndarray Creation and Attributes
    • Array Indexing, Slicing, and Broadcasting
    • Universal Functions (ufuncs)
    • Linear Algebra Operations (brief)
  • Day 21: Pandas Data Structures
    • Series and DataFrame Creation
    • Indexing, Selection, and Filtering Data
    • Handling Missing Data (NaN)
    • Data Alignment and Arithmetic
  • Day 22: Pandas Data Manipulation - Grouping & Merging
    • Group By Operations (groupby)
    • Merging, Joining, and Concatenating DataFrames
  • Day 23: Pandas Data Manipulation - Reshaping & Time Series
    • Reshaping and Pivoting Data
    • Time Series Functionality (basic)
  • Day 24: Matplotlib for Visualization - Basic Plots
    • Basic Plotting: Line Plots, Scatter Plots, Bar Charts, Histograms
    • Customizing Plots: Titles, Labels, Legends, Colors, Styles
  • Day 25: Matplotlib for Visualization - Advanced Plots
    • Subplots and Multiple Axes
    • Saving Plots to Files

Module 5: Databases (SQLite) (Days 26-29)

  • Day 26: SQL Fundamentals
    • Basic SQL Commands: SELECT, INSERT, UPDATE, DELETE
    • Table Creation (CREATE TABLE) and Schema Definition
    • Data Types and Constraints
    • Filtering and Sorting Data (WHERE, ORDER BY)
  • Day 27: Python sqlite3 Module
    • Connecting to SQLite Databases
    • Creating Tables and Inserting Data
    • Executing Queries and Fetching Results
    • Committing Transactions and Error Handling
  • Day 28: Advanced SQL Concepts
    • Joins (INNER, LEFT, RIGHT, FULL - conceptual)
    • Subqueries (basic)
    • Aggregate Functions (COUNT, SUM, AVG, MIN, MAX)
    • Indexing for Performance (brief)
  • Day 29: Database Design Principles
    • Normalization (1NF, 2NF, 3NF - conceptual)
    • Relationships between Tables
    • Primary and Foreign Keys

Module 6: Web Development (Django/Flask/FastAPI) (Days 30-35)

  • Day 30: Introduction to Web Frameworks
    • Understanding MVC/MVT Architecture
    • Request-Response Cycle
    • Choosing a Framework (Django vs. Flask vs. FastAPI - overview)
  • Day 31: Flask Basics
    • Setting up a Flask Application
    • Routing and Views
    • Create POST/GET API endpoints
    • Handling Forms and Request Data (basic)
  • Day 32: Django Fundamentals - Models & Admin
    • Project and App Structure
    • Models, Migrations, and ORM (basic)
    • Admin Interface
  • Day 33: Django Fundamentals - Views & Templates
    • Views, URLs, and Templates (basic)
  • Day 34: FastAPI Introduction
    • Setting up a FastAPI Application
    • Path Operations and Request Body
    • Pydantic for Data Validation and Serialization (basic)
    • Automatic API Documentation (Swagger UI, ReDoc)
  • Day 35: Common Web Development Concepts
    • RESTful API Principles
    • Basic Authentication and Authorization (conceptual)
    • Deployment Considerations (brief overview)

Module 7: Async Programming (Days 36-39)

  • Day 36: Fundamentals of Asynchronous Programming
    • Concurrency vs. Parallelism vs. Asynchrony
    • Event Loops and Coroutines
    • async and await Keywords
  • Day 37: asyncio Library - Coroutines & Tasks
    • Creating and Running Coroutines
    • Tasks and Futures
    • asyncio.gather, asyncio.wait
  • Day 38: Asynchronous Data Handling & I/O
    • Asynchronous I/O Operations (e.g., aiohttp for web requests - conceptual)
    • Asynchronous Context Managers (async with)
    • Asynchronous Iterators (async for)
    • Queues in asyncio
  • Day 39: Async Error Handling & Cancellation
    • Handling Exceptions in Coroutines
    • Cancelling Asynchronous Tasks
    • Timeouts in asyncio

Module 8: Web-Based GUI Frameworks (Streamlit & Gradio) (Days 40-43)

  • Day 40: Streamlit - Fundamentals & Interactive Data Apps
    • Introduction to Web-Based GUIs for "Desktop-like" Apps (Context, Advantages)
    • Streamlit: Philosophy, Installation, "Hello World" Application
    • Basic Text & Markdown Display: st.write, st.markdown, st.header, st.subheader
    • Core Input Widgets: st.button, st.text_input, st.number_input, st.checkbox, st.radio, st.selectbox, st.slider
    • Layout Management: st.sidebar, st.columns, st.expander, st.container
    • Displaying Data: st.dataframe, st.table, st.json, st.metric
  • Day 41: Streamlit - Advanced Features & Application State
    • Media Elements: st.image, st.audio, st.video
    • Forms for Atomic Submissions: st.form and st.form_submit_button
    • Session State: Understanding and managing application state across reruns (st.session_state)
    • Callbacks and on_change for dynamic widget interactions
    • Caching Mechanisms: st.cache_data, st.cache_resource for performance optimization
    • Theming and Customization (brief overview of config.toml and custom CSS)
  • Day 42: Gradio - Rapid Prototyping for ML Models
    • Introduction to Gradio: Philosophy, Installation, "Hello World" with gr.Interface
    • Core Concepts: Inputs, Outputs, and the Prediction Function
    • Common Input Components: gr.Textbox, gr.Number, gr.Slider, gr.Checkbox, gr.Radio, gr.Dropdown, gr.Image, gr.Audio, gr.Video, gr.File
    • Common Output Components: gr.Textbox, gr.Label, gr.Image, gr.Audio, gr.Video, gr.File, gr.HTML
    • Building Multi-Input/Output Interfaces with gr.Interface
    • Basic Custom Layouts with gr.Blocks
  • Day 43: Gradio - Advanced Interactions, State & Deployment
    • Event Listeners and Callbacks: change, click, submit on components
    • Managing State in Gradio: Using gr.State for persistent data
    • Queuing and Concurrency for handling multiple requests and long-running tasks
    • Theming and Custom CSS in Gradio
    • Choosing between Streamlit and Gradio: Use Cases, Strengths, and Weaknesses
    • Deployment Strategies: Local Server, Streamlit Cloud, Hugging Face Spaces (brief overview)
    • Building a Simple End-to-End Demo (e.g., a text summarizer or image filter application)

Projects: (select any four) 1: Interactive Data Explorer & Dashboard (Streamlit/Gradio) 2: Flask Task Manager with User Authentication 3: SQLite Command-Line Inventory System 4: SQLite Library Management System 5: Pandas & Matplotlib Sales Data Analyzer 6: Pandas Stock Market Data Analyzer 7: FastAPI To-Do List API 8: Django Blog with User Authentication

Benefits:
  • Time-saving & Cost-effective
  • Get trained via industry experts (having 10+ years of experience in the same field, corporate trainers)
  • Full of hands-on practical exposure for better understanding
  • Adding super solid value in your professional career
  • Weekend Doubt clearing sessions.

For inquiry call:  8953463074

Online Live Training Program 2025

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