Air Inv Iq Technologies

3rd Floor, WOC Road, Basaveshwar Nagar, Bangalore
+91 72046 35325
airaxivetechnologies@gmail.com
Python Programming Mastery

Become a Job-Ready Python Developer in Bangalore

Master Python programming from fundamentals to advanced applications — including data analysis, automation, web development, and real-world project execution.

50+ Hrs

Hands-on Coding

100%

Live Project Work

Assisted

Placement Pathways

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    Python Course in Bangalore | Air Inv Iq Technologies
    Course Overview

    Python Course in Bangalore

    Master Python programming — from fundamentals to advanced data science and web development — and become a versatile developer in Bangalore's thriving tech ecosystem.

    Build Your Career as a Python Developer

    Python is the world's fastest-growing programming language, powering everything from web applications and data science to artificial intelligence and automation. As companies across industries embrace digital transformation, Python developers are in unprecedented demand globally.

    Our comprehensive Python training at Air Inv Iq Technologies takes you from zero coding experience to building real-world applications. You'll master Python fundamentals, object-oriented programming, web development with Django/Flask, data analysis with Pandas/NumPy, and much more — making you job-ready in 50–60 days.

    # Python - Data Analysis Example
    import pandas as pd
    import numpy as np

    # Load and analyze sales data
    df = pd.read_csv('sales_data.csv')
    total_revenue = df['Revenue'].sum()
    top_products = df.groupby('Product')['Revenue'].sum().sort_values(ascending=False)
    print(f"Total Revenue: ₹{total_revenue:,.2f}")
    print(f"Top Product: {top_products.index[0]}")
    🎯

    Industry-Relevant Curriculum

    Learn Python with real-world projects from web development, data science, automation, and financial analytics — including financial data processing and supply chain analytics.

    👨‍🏫

    Expert Python Trainers

    Learn from certified Python developers with 7+ years of industry experience across data science, web development, and enterprise automation projects.

    💼

    Placement Assistance

    Resume crafting, portfolio building, mock technical interviews, and direct referrals to our hiring partner network — we support you until you land your dream role.

    # Python Web Framework - Flask Example
    from flask import Flask, render_template, request

    app = Flask(__name__)

    @app.route('/')
    def home():
        return render_template('index.html')

    @app.route('/api/data', methods=['GET'])
    def get_data():
        return {'status': 'success', 'data': [1, 2, 3, 4, 5]}

    if __name__ == '__main__':
        app.run(debug=True)

    # Machine Learning with Scikit-learn
    from sklearn.ensemble import RandomForestRegressor
    model = RandomForestRegressor(n_estimators=100)
    🚀 Job-Ready in 50–60 Days
    9+
    Modules
    55+
    Hours Training
    Live
    Projects
    Curriculum

    Comprehensive Python Course Structure

    9 structured modules covering everything from Python basics to advanced data science, web development, and automation

    01

    Python Fundamentals & Programming Basics

    ▾
    • Introduction to Python — History, Features, and Ecosystem
    • Installing Python and Setting Up Development Environment (VS Code, PyCharm)
    • Python Syntax — Variables, Data Types, Type Casting
    • Operators — Arithmetic, Comparison, Logical, Assignment
    • Control Flow — if, elif, else, and Conditional Expressions
    • Loops — for, while, break, continue, pass
    • Functions — Defining, Calling, Parameters, Return Values
    • Scope and Lifetime of Variables — Global vs Local
    02

    Data Structures & Collections

    ▾
    • Lists — Creating, Accessing, Slicing, and List Comprehensions
    • Tuples — Immutable Sequences and Their Use Cases
    • Dictionaries — Key-Value Pairs, Iteration, and Dictionary Comprehensions
    • Sets — Unordered Collections, Set Operations (Union, Intersection, Difference)
    • Strings — Methods, Formatting, Slicing, and Regular Expressions
    • Iterators and Generators — yield, next, and Memory Efficiency
    • Advanced Collection Methods — map, filter, reduce, zip, enumerate
    • Working with SAP MM and SAP SD Data Structures
    03

    Object-Oriented Programming (OOP) in Python

    ▾
    • OOP Concepts — Classes, Objects, Attributes, and Methods
    • Constructors — __init__ and __new__ Methods
    • Inheritance — Single, Multiple, and Multilevel Inheritance
    • Method Overriding and super() Function
    • Encapsulation — Public, Protected, and Private Members
    • Polymorphism — Method Overloading and Operator Overloading
    • Abstract Base Classes (ABC) and Interfaces
    • Magic/Dunder Methods — __str__, __repr__, __call__, __add__, etc.
    04

    File Handling & Exception Management

    ▾
    • File I/O — Reading and Writing Files (txt, csv, json, xml)
    • Context Managers — with Statement for Resource Management
    • Working with CSV — csv.reader, csv.writer, pandas for large files
    • JSON Parsing — json.loads, json.dumps, Reading/Writing JSON Files
    • Exception Handling — try, except, else, finally
    • Custom Exceptions — Raising and Creating Custom Exception Classes
    • Logging Module — Configuring Logs, Handlers, and Log Levels
    • Debugging Techniques — pdb, breakpoint(), and assert Statements
    05

    Web Development — Flask & REST APIs

    ▾
    • Introduction to Web Frameworks — Flask vs Django
    • Flask Fundamentals — Routing, Templates, and Static Files
    • Working with Forms — GET, POST, and Form Validation
    • Flask-SQLAlchemy — Database Models and CRUD Operations
    • Building REST APIs with Flask-RESTful and Marshmallow
    • Authentication and Authorization — Flask-Login, JWT
    • Deploying Flask Applications — Gunicorn, Nginx, Docker
    • Integration with SAP FICO and SAP MM Data
    06

    Data Analysis — Pandas, NumPy & Visualization

    ▾
    • NumPy — ndarray, Vectorization, Broadcasting, and Linear Algebra
    • Pandas — Series, DataFrame, Data Cleaning and Manipulation
    • Data Aggregation — groupby, pivot_table, crosstab
    • Handling Missing Data — dropna, fillna, interpolate
    • Merging, Joining, and Concatenating DataFrames
    • Data Visualization — Matplotlib (Line, Bar, Pie, Scatter, Histogram)
    • Advanced Visualization — Seaborn for Statistical Plots
    • Business Analytics — Creating Reports for SAP SD and SAP MM
    07

    Automation, Scripting & Web Scraping

    ▾
    • Automating Tasks — Sending Emails (smtplib), File Management (os, shutil)
    • Scheduling Scripts — Cron Jobs and Python's schedule library
    • Web Scraping — BeautifulSoup, Requests, Selenium
    • Scraping Dynamic Content — Handling JavaScript with Selenium
    • Web Scraping Best Practices — Robots.txt, Rate Limiting, Proxies
    • Working with PDFs — PyPDF2, pdfplumber, ReportLab
    • Automating Excel — openpyxl, xlsxwriter, pandas for Excel Files
    • Integration with SAP FICO and SAP HR Data
    08

    Database Integration & SQL with Python

    ▾
    • Relational Databases — SQLite, PostgreSQL, MySQL with Python
    • SQLAlchemy ORM — Defining Models, Relationships, and Queries
    • Raw SQL — Executing Queries with sqlite3, psycopg2, and MySQL Connector
    • Database Migrations — Alembic for Schema Versioning
    • Connection Pools and Transaction Management
    • NoSQL Databases — MongoDB with PyMongo
    • Data Warehousing — Connecting to SAP FICO and SAP MM Data
    • ETL Pipelines — Extract, Transform, Load with Python
    09

    Career Readiness & Professional Development

    ▾
    • Version Control — Git and GitHub Workflows
    • Project Structure — Best Practices for Python Applications
    • Testing — Unit Testing with unittest, pytest
    • Packaging and Distribution — setup.py, PyPI
    • Interview Preparation — Technical Questions, Coding Challenges
    • Resume Building — Highlighting Python Projects and Skills
    • Portfolio Development — Deploying Projects to GitHub and Cloud
    • Mock Interviews and Professional Networking
    Why Choose Us

    Key Features of Our Python Training

    We combine theory with intensive hands-on practice — building real projects that showcase your skills to employers

    🖥️

    Real-World Projects

    Build 8+ real-world projects during the course — web applications, data dashboards, automation scripts, and ML models that you can showcase in interviews.

    👨‍🏫

    Industry Expert Trainers

    Learn from certified Python developers with 7+ years of experience in data science, web development, and enterprise automation projects.

    📋

    Portfolio-Driven Learning

    Build a portfolio of projects that demonstrate your skills — employers hire based on what you can build, not just what you know.

    💼

    Placement Support

    Resume crafting, portfolio reviews, mock technical interviews, and active referrals to our hiring partner network — we stay with you until you're placed.

    🗓️

    Flexible Batch Timings

    Weekday morning, evening, and weekend-only batches — designed around working professionals, students, and career changers. Both classroom and online available.

    🏅

    Certification & Career Ready

    Earn a certificate of completion and become job-ready with skills that top employers are actively hiring for in Bangalore's tech market.

    Success Stories

    What Our Python Students Say

    From complete beginners to experienced professionals — hear how our Python training transformed careers

    "
    ⭐⭐⭐⭐⭐

    The Python training at Air Inv Iq was transformative. I came with zero coding experience and within 2 months I was building web applications with Flask. Landed my first developer role within weeks of completing the course.

    RK
    Rahul Kumar
    Python Developer
    Tech Mahindra, Bangalore
    "
    ⭐⭐⭐⭐⭐

    I was working in finance and wanted to transition to data analytics. The Pandas, NumPy, and visualization modules were exactly what I needed. Got a Data Analyst role within a month of finishing the course.

    PS
    Priya Suresh
    Data Analyst
    Deloitte, Bangalore
    "
    ⭐⭐⭐⭐⭐

    The advanced modules on Flask, REST APIs, and database integration were outstanding. The trainer brought real-world insight that you can't get from online tutorials. I'm now building enterprise automation solutions for my company.

    AM
    Anil Menon
    Senior Developer
    Accenture, Bangalore
    Career Path

    Python Career Opportunities

    Python skills open doors across industries — from web development and data science to automation and enterprise solutions

    Junior Python Developer
    ₹4 – 7 LPA

    Entry-level role focusing on Python fundamentals, web development, and basic automation. Work across industries including finance, supply chain, and e-commerce.

    Python Developer
    ₹7 – 15 LPA

    Mid-level role covering web frameworks, databases, REST APIs, and data processing. Involves building enterprise applications and integrations with SAP SD and SAP HR.

    Data Engineer / Data Scientist
    ₹12 – 22 LPA

    Advanced role focusing on data pipelines, machine learning, and AI solutions. Involves working with large datasets and building predictive models for business insights.

    Senior Software Engineer / Tech Lead
    ₹18 – 32+ LPA

    Leadership position driving technical architecture, managing development teams, and building scalable Python solutions across multiple business functions and SAP systems.

    Technologies

    Technologies You Will Master

    Our Python course covers the complete ecosystem — from core programming to advanced data science and web development tools

    PY
    Python Core
    NP
    NumPy / Pandas
    FLASK
    Flask / Django
    API
    REST APIs
    SQL
    SQL / SQLAlchemy
    VIZ
    Matplotlib / Seaborn
    GIT
    Git / GitHub
    ML
    Scikit-learn

    Ready to Start Your Python Career?

    Join our upcoming batch and become a job-ready Python developer in 50–60 days. Limited seats available — enroll now!

    📞 Call to Enroll — +91 72046 35325 ✉️ Send an Enquiry