Difference between revisions of "Python Landscape"

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EDITION MODE. REFERENCES ARE MISSING. THERE ARE TYPOS.
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== Welcome to the Python Wiki for Data Analysis ==
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Python has become one of the most popular programming languages because of its simplicity, readability and versatility. It is a high-level, interpreted programming language created by Guido van Rossum and first released in 1991. Python emphasizes code readability and syntax that allows programmers to express concepts in fewer lines of code than possible in languages such as C++ or Java, therefore, for aspiring data analysts or scientists, Python represents a convenient entry into the programming world because it can be learned and mastered in a relative short period of time.
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== What can you do with Python? ==
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With Python you can conduct simple and complex data analysis, design and launch websites, and even design artificial intelligence algorithms. This diagram is just a glimpse of the areas of application when working with python. 
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Python is a high-level, interpreted programming language known for its simplicity and readability. It's widely used in various fields, from web development to data science and artificial intelligence.
 
Python is a high-level, interpreted programming language known for its simplicity and readability. It's widely used in various fields, from web development to data science and artificial intelligence.
  

Revision as of 23:16, 22 July 2024

EDITION MODE. REFERENCES ARE MISSING. THERE ARE TYPOS.

Welcome to the Python Wiki for Data Analysis

Python has become one of the most popular programming languages because of its simplicity, readability and versatility. It is a high-level, interpreted programming language created by Guido van Rossum and first released in 1991. Python emphasizes code readability and syntax that allows programmers to express concepts in fewer lines of code than possible in languages such as C++ or Java, therefore, for aspiring data analysts or scientists, Python represents a convenient entry into the programming world because it can be learned and mastered in a relative short period of time.

What can you do with Python?

With Python you can conduct simple and complex data analysis, design and launch websites, and even design artificial intelligence algorithms. This diagram is just a glimpse of the areas of application when working with python.


Python is a high-level, interpreted programming language known for its simplicity and readability. It's widely used in various fields, from web development to data science and artificial intelligence.

Setting up your environment

Starting with Python basics

Doing some math with Python

Handling data in Python

Statistics with Python

Data Visualization

Data visualization is very important because...

Machine Learning

Data Engineering

Use of API Cloud computing

Data Storytelling

Project Management in Python