Difference between revisions of "Python Basics"

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'''EDITION MODE'''
 
'''EDITION MODE'''
  
== [[Types, Expressions, and Variables in Python|Types, Expressions, and Variables]] ==
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Python provides a wide array of basic functions and commands that are essential for beginners in data analysis and science. These functions allow you to perform fundamental tasks like displaying output, handling user inputs, performing mathematical operations, and working with different types of data. By mastering these basic commands, you can efficiently manipulate data, automate repetitive tasks, and lay a solid foundation for more complex programming challenges. Whether you’re working with numerical data, text, or logical conditions, Python’s simple and intuitive syntax ensures that you can quickly grasp the essentials, making it a powerful tool for newcomers in data-driven fields. This page provides an overview of essential Python concepts and each section below links to a detailed entry covering the basic commands and functions in Python.
  
== [[Conditions and Branching in Python|Conditions]] ==
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==Hello World!==
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This entry is the introduction of Python logic and syntaxt. You will know how to output text and interact with the Python environment, and understand how the code executes. This is the beginning of your code journey.
  
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[[Hello World!|Go to the Hello World entry]]
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==Types, Expression and Variables==
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As in any other programming language, understanding type of data you are working with is fundamental. Python has several built-in data types, such as:
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• Integers (int): Whole numbers.
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• Floating-point numbers (float): Decimal-point numbers.
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• Strings (str): Sequences of characters.
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• Booleans (bool): True/False values.
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Moreover, expressions in Python are used to perform operations and return values. Variables store data and can be assigned dynamically. In this [[Types, Expressions, and Variables in Python|entry]], you will learn how to use the different data types by storing and manipulating data using expressions and variables.
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==String Operations==
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Strings are a key data type in Python, especially in data analysis, where working with text data is common. Python provides many built-in methods for manipulating and analyzing strings, such as concatenation, slicing, and formatting. Explore more about strings in this [[String Operations]] and learn how to manipulate them.
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==Conditional statements and branching==
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Conditional statements and branching allow programs to make decisions. Python’s if-else structure is used to execute code based on certain conditions, a fundamental concept in controlling the flow of a program. In other words, conditional statements are key in telling Python what you want it to do if certain condition is met or not. To know more about it, check the respective [[Conditions and Branching in Python|Conditionsn entry]]
 
== [[Loops in Python|Loops]] ==
 
== [[Loops in Python|Loops]] ==
  
 
== [[Functions in Python|Functions]] ==
 
== [[Functions in Python|Functions]] ==

Revision as of 12:36, 13 September 2024

EDITION MODE

Python provides a wide array of basic functions and commands that are essential for beginners in data analysis and science. These functions allow you to perform fundamental tasks like displaying output, handling user inputs, performing mathematical operations, and working with different types of data. By mastering these basic commands, you can efficiently manipulate data, automate repetitive tasks, and lay a solid foundation for more complex programming challenges. Whether you’re working with numerical data, text, or logical conditions, Python’s simple and intuitive syntax ensures that you can quickly grasp the essentials, making it a powerful tool for newcomers in data-driven fields. This page provides an overview of essential Python concepts and each section below links to a detailed entry covering the basic commands and functions in Python.

Hello World!

This entry is the introduction of Python logic and syntaxt. You will know how to output text and interact with the Python environment, and understand how the code executes. This is the beginning of your code journey.

Go to the Hello World entry

Types, Expression and Variables

As in any other programming language, understanding type of data you are working with is fundamental. Python has several built-in data types, such as:

• Integers (int): Whole numbers. • Floating-point numbers (float): Decimal-point numbers. • Strings (str): Sequences of characters. • Booleans (bool): True/False values.

Moreover, expressions in Python are used to perform operations and return values. Variables store data and can be assigned dynamically. In this entry, you will learn how to use the different data types by storing and manipulating data using expressions and variables.

String Operations

Strings are a key data type in Python, especially in data analysis, where working with text data is common. Python provides many built-in methods for manipulating and analyzing strings, such as concatenation, slicing, and formatting. Explore more about strings in this String Operations and learn how to manipulate them.

Conditional statements and branching

Conditional statements and branching allow programs to make decisions. Python’s if-else structure is used to execute code based on certain conditions, a fundamental concept in controlling the flow of a program. In other words, conditional statements are key in telling Python what you want it to do if certain condition is met or not. To know more about it, check the respective Conditionsn entry

Loops

Functions