Develop the python library - Easy Approach

Learn how to create the Python Library and Publish it | Become an Author of Python Library | Publish Source Code |

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Description

In this course, you will learn:

  1. How to create python library?

  2. How to convert the source code into python library?

  3. How to publish it all over the world?

  4. How to associate your python library with license?

  5. How to avail the python library for others?

  6. How to install the python libraries locally and remotely?

After this course :

  1. You will be able to publish your own python library.

  2. You will be able to create the machine learning python library, deep learning python library, data visualization library and so on.

This course consists of 25 videos with the code sessions and lectures with beautiful illustrations to make your concept clear and neat.

This course will teach you advantages of python library.

This course will give you description and deployment of various python libraries which are very critical to make your python library.

This course will allow you to learn how to make your python library descriptions creative through HTML markup language which may attracts the readers and implementers toward your python library.

This course will teach you step by step coding about the deployment of various tools to make your python published globally.

This course will teach you how to create a license file associated with your python project.

This course will teach you advantages of python library.

What You Will Learn!

  • you will be able to create a open source python library
  • you will be able to develop task automation model
  • you will be able to become an author of python library after publishing python library globally
  • you will be able to create python libraries associated with licenses
  • you will be able to learn step by step execution of code and purpose
  • you will be able to understand the purpose of python library benefits through animations
  • you will be able to understand different libraries through illustrations
  • you will be able to publish your own machine learning library
  • you will be able to publish source code through Python Library
  • you will be able to create new creative visualization python libraries
  • you will be able to create new creative data science libraries

Who Should Attend!

  • Python Developers who want to create the python libraries such as NumPy, Pandas, Plotly