Python Training

Python | Python Libraries | Web Development
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Python

Module 0 - Python Demo Topics

  • Python industrial use cases
  • Python Job trends
  • Python Developer career path
  • Comparison of different tools for python

Module 1 - Introduction to Python

  • What is Python?
  • Python execution features
  • Python popularity
  • Features of Python
  • Career with Python

Module 2 - Python Installation & IDEs

  • Python Installation on Windows
  • Python Installation on Linux
  • IDEs for Python
  • PyCharm Overview
  • First Python Program

Module 3 - Python Comments & Variables

  • Comments in Python
  • Docstring in Python
  • Variables in Python
  • Variable data types in Python
  • Variable Scope in Python
  • Delete Variable

Module 4 - Python Datatypes

  • Data types in Python
  • Number Data Type
  • String Data Type
  • List Data Type
  • Dictionary Data Type
  • Set Data Type
  • Tuple Data Type

Module 5 - Python Arrays, Collections & Operators

  • Array in Python
  • Array Operations
  • Collections in Python
  • Collection Data Types
  • Operators in Python

Module 6 - Loops in Python

  • What are loops?
  • Loops in Python
  • Pattern generation in Python
  • Pattern examples

Module 7 - File handling in Python

  • Need of file handling
  • Types of files
  • File handling in Python
  • File operations in Python

Module 8 - Python Decorators

  • Functions in Python
  • Decorators in Python
  • Fancy Decorators
  • Decorator Examples

Module 9 - Python Map-Reduce functions

  • filter() function
  • map() function
  • reduce() function
  • Using filter(), map(), reduce() together

Module 10 - OOPs in Python

  • Classes and Objects
  • Classes in Python
  • Inheritance, Encapsulation in Python
  • Abstraction in Python
  • Super function in Python
  • Method overriding

Module 11 - Exception handling in Python

  • What are exceptions
  • What is exception handling
  • Process of exception handling
  • Python for exception handling
  • try, catch, except, else & finally block

Module 12 - Module in Python

  • What is module in Python
  • Creating a Python module
  • Use of Python modules
  • Built-in modules in Python
  • time and datetime module

Module 13 - Lambda in Python

  • Lambda functions in Python
  • Use of lambda functions
  • Anonymous functions
  • Lambda functions in user defined functions
  • Anonymous functions with filter(), map(), reduce()

 

Course - Advanced Python (Covered on demand)

 

Module 14 - Generators in Python

  • Introduction to Generators
  • Advantages of Generators
  • Normal function vs. Generator function
  • Generator expressions
  • Generators with loops
  • Generator function use cases

Module 15 - Python Libraries

  • NumPy
  • NumPy operations & functions
  • SciPy
  • NumPy vs. SciPy
  • SciPy special & integration functions
  • Interpolation functions
  • Transformation and algebraic functions

Module 16 - Data libraries in Python

  • Data analysis in Python
  • Pandas library
  • Pandas operations
  • Python for Statistics
  • Python for Hadoop

Module 17 - Python library - Matplotlib

  • Data Visualization
  • What is Matplotlib
  • Types of Plots

Module 18 - Python library - Seaborn

  • Introduction to Seaborn
  • Seaborn vs. Matplotlib
  • Seaborn and dependencies installation
  • Plotting functions
  • Multi-Plot Grids
  • Plot-Aesthetics

Module 19 - OpenCV with Python

  • Introduction to computer vision
  • Computer processing of an image
  • Basics of OpenCV
  • Image detection using OpenCV
  • Motion detector using OpenCV

Module 20 - Python - Web Development Frameworks

  • What are frameworks in Python
  • Use of frameworks
  • Different frameworks in Python
    • Django
    • Web2Py
    • Flask
    • Bottle
    • CherryPy

Module 21 - Django - Web Development

  • What is Web Development
  • Django introduction
  • Django web development - Demo

Module 22 - Web Scraping

  • What is web scraping
  • Requirement for web scraping
  • Libraries used for web scraping
  • Web scraping - demo

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