Python

Python Implementation

Overview:

High Level Programming Language

• Dynamic
• Readability
• Iterpreted Language
• Multi Paradigm Language Support (It support Object Oriented and Procedure Oriented Concepts)

Language is base on philosophy:

- Beautiful is better than Ugly.
- Explicit is better than Implicit
- Simple is better than complex
- Complex is better than Complicated
- Increase Readability counts

Features

• Developers can learn it quickly.
• Typically involves less code
• Syntax is easier to read
• Utilized by every major technology company.
• Huge amount of additional Open-Source libraries.

What we can do with Python

• Automated Simple Tasks
  • Searching for files & editing them
  • Scraping informattion from from website
  • Reading and editing excel files
  • Works with PDFs
  • Automated Emails and text messages
  • Fill out the forms.
• Data Science & Machine Learning
  • Analyzing large data files [Numpy & Pandas]
  • Creating visualization [Matplotlib & Seaborn]
  • Perform machine learning task [Plotly & touchup flow]
  • Create and run predicitive algorithms [Plotly & touchup flow]
• Create website
  • Use web framework such as Django & flask to handle backend of website & user data.
  • Creating an interactive Dashboard for users.

Topics

• Python Installation
• Datatypes
• IO Operations
• Operators and Statement Condition
• Function
• Object Oriented Programming
• Errors and Exception Handling
• Decorators
• Generators
• Collections
• SHUTIL & OS Module
• datetime api module
• Math & Random api module
• Python Debugger
• Regular Expression
• Performance Timing Of Code Using timeit module
• Zipping and Unzipping Files

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python-documentation is maintained by ravaan-techky.

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