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  • About Our Python Programming Course -

    Learn basics to advanced Python programming modules under our experts to build a solid foundation in Python development. Please note that this is a skill upgrade course hence placement support not provided for this course, you need to enroll in Python developer course in order to be eligible for placement support. Check Python developer course in header.

  • Pre-requisites -

    None. Any one from IT & non IT can learn.

  • Workshop & Corporate Training -

    available

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Syllabus

  • Introduction to Python
    • What is Python? Features & uses
    • Python installation & IDE setup (VS Code, PyCharm, Jupyter, Anaconda)
    • Running Python programs (script mode vs interactive mode)
    • First program: print("Hello, World!")
  • Python Basics
    • Variables & Data Types (int, float, str, bool)
    • Input/Output functions (print(), input())
    • Comments & indentation
    • Type conversion & type() function
  • Operators
    • Arithmetic operators (+, -, *, /, //, %, **)
    • Comparison operators (==, !=, <, >, <=, >=)
    • Logical operators (and, or, not)
    • Assignment operators (+=, -=, etc.)
    • Identity operators (is, is not)
    • Membership operators (in, not in)
  • Control Flow
    • if, elif, else statements
    • Nested conditions
    • for and while loops
    • break, continue, pass
  • Data Structures
    • Strings → indexing, slicing, methods
    • Lists → create, access, update, iterate, list methods
    • Tuples → immutable collections
    • Sets → unique values, set operations (union, intersection)
    • Dictionaries → key-value pairs, methods
  • Functions
    • Defining & calling functions
    • Function arguments (positional, keyword, default, variable-length *args, **kwargs)
    • Return values
    • Lambda (anonymous functions)
    • Scope (local vs global variables)
  • Modules & Packages
    • Importing built-in modules (math, random, datetime, os)
    • Creating your own modules
    • Installing external libraries with pip
  • File Handling
    • Opening & closing files
    • Reading & writing (read(), write(), with open)
    • Working with CSV and JSON files
  • Exception Handling
    • try, except blocks
    • finally, else in exceptions
    • Raising exceptions (raise)
    • Custom exceptions
  • Object-Oriented Programming (OOP)
    • Classes & objects
    • Constructors (__init__)
    • Instance & class variables
    • Methods (instance, class, static)
    • Inheritance (single, multiple, multilevel)
    • Method overriding
    • Encapsulation & Abstraction
    • Polymorphism
    • Special methods (__str__, __len__, etc.)
  • Advanced Python Concepts
    • Iterators & Generators (iter(), next(), yield)
    • Decorators (function decorators, @staticmethod, @classmethod)
    • Regular Expressions (re module)
  • Working with APIs
    • Sending HTTP requests with requests
    • JSON handling
  • Database Connectivity
    • Installation
    • Basic CRUD Operations (create, read, insert, update, delete)
    • MySQL with connectors
  • Python for Automation
    • Automating tasks (file renaming, web scraping with BeautifulSoup)
    • Sending emails with Python (smtplib)
    • Working with Excel (openpyxl, pandas)
  • Python for Data Science
    • NumPy → arrays, vectorized operations
    • Pandas → DataFrames, Series, CSV/Excel handling
  • Python for Data Visualization
    • Installing Matplotlib (pip install matplotlib)
    • Basic Plots: Line chart, Bar chart, Pie chart
    • Statistical Plots: Histogram, Scatter plot, Box plot
  • 1 to 1.5 months
  • Live Online: ₹10000 - ₹6000 (Limited Period)
  • Classroom: ₹12000 - ₹9000 (Limited Period)
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