/> Guduvanchery, Chengalpattu, India - 603202.
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Tamil Mother Tongue (Native)
English Proficient
Crescent college 2019
Master of Computer Applications (M.C.A.)
Guduvanchery, Chengalpattu, India - 603202
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Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
6
Course Duration provided
1-3 months
Seeker background catered to
Individual, Corporate company, Educational Institution
Certification provided
Yes
Python applications taught
Core Python
1. Which classes do you teach?
I teach Python Training Class.
2. Do you provide a demo class?
Yes, I provide a free demo class.
3. How many years of experience do you have?
I have been teaching for 6 years.
Answered 2 hrs ago Learn IT Courses/Programming Languages/Python
Python has a vast collection of modules that make it a powerful and versatile language. Here are some of the most interesting and useful Python modules across different domains:
os – Interact with the operating system (file management, environment variables).sys – Work with system-specific parameters (command-line arguments, exit status).datetime – Handle dates and times.random – Generate random numbers, shuffle lists, or pick random choices.math – Perform mathematical operations (trigonometry, logarithms, factorials).statistics – Compute mean, median, variance, and other statistics.re – Regular expressions for pattern matching.json – Encode and decode JSON data.csv – Read and write CSV files.collections – Advanced data structures (Counter, defaultdict, OrderedDict).itertools – Efficient looping and combinatorics.pdb – Python debugger for interactive debugging.unittest – Built-in framework for unit testing.requests – Send HTTP requests (GET, POST) to APIs and web pages.BeautifulSoup – Scrape and parse HTML/XML data from websites.selenium – Automate web browsers (filling forms, clicking buttons).🔹 Example: Fetching a webpage
import requests response = requests.get("https://www.python.org") print(response.status_code) # 200 (OK) numpy – Handle large numerical computations efficiently.pandas – Work with tabular data (Excel, CSV, SQL).matplotlib – Create visualizations (line plots, bar charts, scatter plots).seaborn – High-level statistical visualizations.scikit-learn – Machine learning algorithms (classification, regression).tensorflow/pytorch – Deep learning frameworks for AI.🔹 Example: Basic Pandas DataFrame
import pandas as pd data = {'Name': ['Alice', 'Bob'], 'Age': [25, 30]} df = pd.DataFrame(data) print(df) Flask – Lightweight web framework for REST APIs.Django – Full-stack web framework for large applications.fastapi – High-performance API framework.🔹 Example: Flask Web App
from flask import Flask app = Flask(__name__) @app.route("/") def home(): return "Hello, World!" app.run(debug=True) shutil – Manage files and directories (copy, move, delete).pyautogui – Control the mouse and keyboard for automation.schedule – Schedule tasks to run automatically.🔹 Example: Automating Keystrokes with PyAutoGUI
import pyautogui pyautogui.write("Hello, World!", interval=0.1) hashlib – Generate secure hashes (SHA256, MD5).cryptography – Encrypt and decrypt data.scapy – Packet sniffing and network security testing.🔹 Example: SHA256 Hashing
import hashlib hash_value = hashlib.sha256(b"password").hexdigest() print(hash_value) pygame – Create 2D games.turtle – Simple graphics for beginners.opencv – Computer vision and image processing.🔹 Example: Drawing a Square with Turtle
import turtle t = turtle.Turtle() for _ in range(4): t.forward(100) t.right(90) turtle.done() nltk – Process human language data.spaCy – Efficient NLP library.transformers (Hugging Face) – Use pre-trained AI models.🔹 Example: Tokenizing Text with NLTK
import nltk from nltk.tokenize import word_tokenize nltk.download('punkt') text = "Hello, how are you?" print(word_tokenize(text)) tkinter – Built-in module for GUI applications.PyQt – Advanced GUI applications.Kivy – Cross-platform mobile and desktop apps.🔹 Example: Simple Tkinter Window
import tkinter as tk root = tk.Tk() root.title("Hello, GUI!") tk.Label(root, text="Welcome to Tkinter!").pack() root.mainloop() boto3 – Amazon AWS SDK for Python.docker – Manage Docker containers with Python.fabric – Automate remote server administration.🔹 Example: Upload File to S3 using Boto3
import boto3 s3 = boto3.client('s3') s3.upload_file('local_file.txt', 'my-bucket', 's3_file.txt') Python has an amazing ecosystem of modules that make it a go-to language for various fields, including: ✅ Web Development
✅ Data Science & AI
✅ Automation
✅ Cybersecurity
✅ Game Development
Answered 5 hrs ago Learn IT Courses/Programming Languages/Python
The learning stages of Python can be divided into three main levels: Beginner, Intermediate, and Advanced. Here's a structured roadmap:
Introduction to Python
Basic Syntax and Operations
int, float, str, bool)print(), input())+, -, *, /, %, **, //)Control Flow
if, elif, else)for, while)break, continue, pass)Functions and Modules
def my_function())import math, random)Basic Data Structures
[]) – Methods (append(), pop(), sort())()) – Immutable collections{}) – Unordered unique elements{key: value}) – Key-value pairsBasic File Handling
open(), read(), write(), close())'r', 'w', 'a')Basic Error Handling
try-except)IndexError, TypeError, KeyError)✅ Simple Calculator
✅ To-Do List
✅ Rock-Paper-Scissors Game
✅ Basic Data Analysis with pandas
Advanced Data Structures
collections (Counter, DefaultDict, OrderedDict)Object-Oriented Programming (OOP)
__init__)Working with External Libraries
requests (API Calls)json (Parsing JSON)pandas (Data Analysis)matplotlib (Data Visualization)Exception Handling (Advanced)
raise)try-except-else-finallyRegular Expressions (re module)
Multithreading and Multiprocessing
✅ Web Scraper using BeautifulSoup
✅ Weather App using API (requests)
✅ Data Analysis using pandas
✅ Chatbot using NLTK
Advanced OOP Concepts
Database Handling
sqlite3, MySQL)MongoDB with pymongo)Web Development with Python
Data Science and Machine Learning
numpy and pandasmatplotlib and seabornscikit-learnAutomation and Scripting
os and shutilselenium for Web AutomationTesting and Debugging
unittest, pytest)pdbDeployment and Cloud Integration
✅ REST API for a To-Do App
✅ AI-Powered Chatbot
✅ Machine Learning Model for Predictions
✅ Full-Stack Web Application with Django
Answered 5 hrs ago Learn IT Courses/Programming Languages/Python
Artificial Intelligence (AI) is predominantly driven by Python rather than C++ due to several key reasons:
Python is dominant in AI because it prioritizes developer efficiency, rapid prototyping, and a rich ecosystem, while C++ is used when performance is critical. Many AI libraries combine both—leveraging C++ for speed and Python for usability.
Answered 5 hrs ago Learn IT Courses/Programming Languages/Python
A beginner’s guide to Python programming typically covers the fundamental concepts and syntax necessary to start coding in Python. Here’s a structured roadmap to learning Python from scratch:
print("Hello, World!"))int, float, str, bool)str(), int(), float())+, -, *, /, //, %, **)==, !=, >, <, >=, <=)and, or, not)=, +=, -=, etc.)if, elif, else)for Loopwhile Loopbreak, continue, pass)def my_function():)len(), type(), range(), input())import math, from random import randint)[] - Ordered, Mutable)() - Ordered, Immutable){} - Unordered, Unique Elements){key: value} - Key-Value Pairs)s[0], s[:5])upper(), lower(), split(), join(), replace()).format(), % formatting)open(), read(), write(), close())'r', 'w', 'a', 'r+')with Statement for File HandlingSyntaxError, TypeError, IndexError)try, except, finally for Handling Errors__init__ method)numpy, pandas, matplotlib)pandasClass Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
6
Course Duration provided
1-3 months
Seeker background catered to
Individual, Corporate company, Educational Institution
Certification provided
Yes
Python applications taught
Core Python
Answered 2 hrs ago Learn IT Courses/Programming Languages/Python
Python has a vast collection of modules that make it a powerful and versatile language. Here are some of the most interesting and useful Python modules across different domains:
os – Interact with the operating system (file management, environment variables).sys – Work with system-specific parameters (command-line arguments, exit status).datetime – Handle dates and times.random – Generate random numbers, shuffle lists, or pick random choices.math – Perform mathematical operations (trigonometry, logarithms, factorials).statistics – Compute mean, median, variance, and other statistics.re – Regular expressions for pattern matching.json – Encode and decode JSON data.csv – Read and write CSV files.collections – Advanced data structures (Counter, defaultdict, OrderedDict).itertools – Efficient looping and combinatorics.pdb – Python debugger for interactive debugging.unittest – Built-in framework for unit testing.requests – Send HTTP requests (GET, POST) to APIs and web pages.BeautifulSoup – Scrape and parse HTML/XML data from websites.selenium – Automate web browsers (filling forms, clicking buttons).🔹 Example: Fetching a webpage
import requests response = requests.get("https://www.python.org") print(response.status_code) # 200 (OK) numpy – Handle large numerical computations efficiently.pandas – Work with tabular data (Excel, CSV, SQL).matplotlib – Create visualizations (line plots, bar charts, scatter plots).seaborn – High-level statistical visualizations.scikit-learn – Machine learning algorithms (classification, regression).tensorflow/pytorch – Deep learning frameworks for AI.🔹 Example: Basic Pandas DataFrame
import pandas as pd data = {'Name': ['Alice', 'Bob'], 'Age': [25, 30]} df = pd.DataFrame(data) print(df) Flask – Lightweight web framework for REST APIs.Django – Full-stack web framework for large applications.fastapi – High-performance API framework.🔹 Example: Flask Web App
from flask import Flask app = Flask(__name__) @app.route("/") def home(): return "Hello, World!" app.run(debug=True) shutil – Manage files and directories (copy, move, delete).pyautogui – Control the mouse and keyboard for automation.schedule – Schedule tasks to run automatically.🔹 Example: Automating Keystrokes with PyAutoGUI
import pyautogui pyautogui.write("Hello, World!", interval=0.1) hashlib – Generate secure hashes (SHA256, MD5).cryptography – Encrypt and decrypt data.scapy – Packet sniffing and network security testing.🔹 Example: SHA256 Hashing
import hashlib hash_value = hashlib.sha256(b"password").hexdigest() print(hash_value) pygame – Create 2D games.turtle – Simple graphics for beginners.opencv – Computer vision and image processing.🔹 Example: Drawing a Square with Turtle
import turtle t = turtle.Turtle() for _ in range(4): t.forward(100) t.right(90) turtle.done() nltk – Process human language data.spaCy – Efficient NLP library.transformers (Hugging Face) – Use pre-trained AI models.🔹 Example: Tokenizing Text with NLTK
import nltk from nltk.tokenize import word_tokenize nltk.download('punkt') text = "Hello, how are you?" print(word_tokenize(text)) tkinter – Built-in module for GUI applications.PyQt – Advanced GUI applications.Kivy – Cross-platform mobile and desktop apps.🔹 Example: Simple Tkinter Window
import tkinter as tk root = tk.Tk() root.title("Hello, GUI!") tk.Label(root, text="Welcome to Tkinter!").pack() root.mainloop() boto3 – Amazon AWS SDK for Python.docker – Manage Docker containers with Python.fabric – Automate remote server administration.🔹 Example: Upload File to S3 using Boto3
import boto3 s3 = boto3.client('s3') s3.upload_file('local_file.txt', 'my-bucket', 's3_file.txt') Python has an amazing ecosystem of modules that make it a go-to language for various fields, including: ✅ Web Development
✅ Data Science & AI
✅ Automation
✅ Cybersecurity
✅ Game Development
Answered 5 hrs ago Learn IT Courses/Programming Languages/Python
The learning stages of Python can be divided into three main levels: Beginner, Intermediate, and Advanced. Here's a structured roadmap:
Introduction to Python
Basic Syntax and Operations
int, float, str, bool)print(), input())+, -, *, /, %, **, //)Control Flow
if, elif, else)for, while)break, continue, pass)Functions and Modules
def my_function())import math, random)Basic Data Structures
[]) – Methods (append(), pop(), sort())()) – Immutable collections{}) – Unordered unique elements{key: value}) – Key-value pairsBasic File Handling
open(), read(), write(), close())'r', 'w', 'a')Basic Error Handling
try-except)IndexError, TypeError, KeyError)✅ Simple Calculator
✅ To-Do List
✅ Rock-Paper-Scissors Game
✅ Basic Data Analysis with pandas
Advanced Data Structures
collections (Counter, DefaultDict, OrderedDict)Object-Oriented Programming (OOP)
__init__)Working with External Libraries
requests (API Calls)json (Parsing JSON)pandas (Data Analysis)matplotlib (Data Visualization)Exception Handling (Advanced)
raise)try-except-else-finallyRegular Expressions (re module)
Multithreading and Multiprocessing
✅ Web Scraper using BeautifulSoup
✅ Weather App using API (requests)
✅ Data Analysis using pandas
✅ Chatbot using NLTK
Advanced OOP Concepts
Database Handling
sqlite3, MySQL)MongoDB with pymongo)Web Development with Python
Data Science and Machine Learning
numpy and pandasmatplotlib and seabornscikit-learnAutomation and Scripting
os and shutilselenium for Web AutomationTesting and Debugging
unittest, pytest)pdbDeployment and Cloud Integration
✅ REST API for a To-Do App
✅ AI-Powered Chatbot
✅ Machine Learning Model for Predictions
✅ Full-Stack Web Application with Django
Answered 5 hrs ago Learn IT Courses/Programming Languages/Python
Artificial Intelligence (AI) is predominantly driven by Python rather than C++ due to several key reasons:
Python is dominant in AI because it prioritizes developer efficiency, rapid prototyping, and a rich ecosystem, while C++ is used when performance is critical. Many AI libraries combine both—leveraging C++ for speed and Python for usability.
Answered 5 hrs ago Learn IT Courses/Programming Languages/Python
A beginner’s guide to Python programming typically covers the fundamental concepts and syntax necessary to start coding in Python. Here’s a structured roadmap to learning Python from scratch:
print("Hello, World!"))int, float, str, bool)str(), int(), float())+, -, *, /, //, %, **)==, !=, >, <, >=, <=)and, or, not)=, +=, -=, etc.)if, elif, else)for Loopwhile Loopbreak, continue, pass)def my_function():)len(), type(), range(), input())import math, from random import randint)[] - Ordered, Mutable)() - Ordered, Immutable){} - Unordered, Unique Elements){key: value} - Key-Value Pairs)s[0], s[:5])upper(), lower(), split(), join(), replace()).format(), % formatting)open(), read(), write(), close())'r', 'w', 'a', 'r+')with Statement for File HandlingSyntaxError, TypeError, IndexError)try, except, finally for Handling Errors__init__ method)numpy, pandas, matplotlib)pandas
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