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LearnPy

person icon Kelvin Kobina Fosu

4.6

LearnPy

Learn Python Programming; Python for Anybody, Python For All, Python for Everyone

updated on icon Updated on Apr, 2024

language icon Language - English

person icon Kelvin Kobina Fosu

English [CC]

category icon Development,Web Development,Python

Lectures -23

Duration -2 hours

4.6

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Course Description

Learn practical python to gaining practical knowledge in how python is used and some of its libraries.  Python is one of the most popular programming languages in the world, easy to learn, cross-platform, open source with a large library and  active community.

The course assumes you already have python3 and Anaconda already installed. But links to IDE's are provided in the first section of the course.

You'll have free -downloadable access to the course activities (Jupyter notebook files in section 1 and section 16). And some sections have comments explaining the codes other than videos so you can practice on your own.

Also, more sessions will be added as they are being edited.

Python 3 is the version of python used in the lectures and Jupyter notebook is the IDE used in programming for the course.

Goals

What will you learn in this course:

  • Python 3
  • User input- input function
  • Data structues;Dictionary, Tuples, list, sets
  • Operators and Operator Precedence
  • Type Conversion
  • Variables & mnemonic naming
  • Conditionals

Prerequisites

What are the prerequisites for this course?

  • Anaconda-Jupyter Notebook
  • pycharm(optional)
  • Python 3
  • Atom(optional)
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Curriculum

Check out the detailed breakdown of what’s inside the course

Download And Installation
1 Lectures
  • play icon Download and Installation 13:25 13:25
Variable and Naming
2 Lectures
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Python Documentation and help
1 Lectures
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Python Reserved Words
1 Lectures
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User Input
1 Lectures
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Commenting
1 Lectures
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Type Function and Type Conversion
2 Lectures
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Program flow
1 Lectures
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Uploading Jupyter Notebook Files
1 Lectures
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Type Of Numbers
2 Lectures
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Operators and Operator Precedence
4 Lectures
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Exploring Some Python Functions / Methods
1 Lectures
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Data Structures
3 Lectures
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Conditionals
1 Lectures
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Instructor Details

kelvin Kobina Fosu

kelvin Kobina Fosu

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