Work with and learn one of the most powerful programming languages created. Write and code applications, or analyze and visualize data.
Python has been around since nearly the conception of programming. It has an expansive userbase and is being currently used for sections of AI and machine learning. Python is also often used to organize, analyze and visualize data. Python is one of the core languages that is learned and nearly every major tech business uses Python to some degree. Developer jobs will see one of the largest increases and the U.S. Bureau of Labor Statistics is expecting a +22% growth by 2030.
Python is commonly used to build web apps, analyze data, create AI and machine learning programs, automation applications, and scalable enterprise applications.
These lessons briefly and informally introduce the essential features and concepts of the Python 3 programming language.
Python 3 is a high-level programming language with dynamic typing and sophisticated syntax that makes it highly ideal for scripting and rapid application development. It uses advanced data structure and offers a convenient approach to object-oriented programming. It also works as an extension language to customizable applications.
This lesson discusses the basic scope of statements used in the Python 3 programming language.
Statements are instructions that Python interpreters execute as part of a block of code. Statements are subdivided into numerous expressions of constructs, the basics of which are discussed in this module:
In this chapter, Python 3 data structures and data types are discussed. This brief introduction elaborates what a data structure is, alongside different data types.
Python developers use data structures as the foundation of their programs, which offer a specific and efficient data organization. Data types, on the other hand, describe data with shared properties.
Built-in Data Types:
Built-in Data Structures:
In this chapter, Python 3 classes and functions are further elaborated, including some examples of their applications. This lesson also incorporates examples of classes and functions, along with objects and instances specific to the Python 3 language.
Classes are templates for objects or concepts that describe object behavior, while functions refer to the ways of manipulating objects with the use of input/s and the goal of producing an output.
Python 3 is known for having a simple syntax and comparably less coding as opposed to other programming languages. This, alongside being free and used by major global corporations, makes Python an attractive skill to be learned by programmers.
Python 3 programming tools include IDEs and Code Editors that are equally useful and functional in software development. This chapter discusses the built-in programming tools found in Python 3:
Integrated Development Environment (IDEs):
This lesson identifies the uses of Python modules, JSON, and algorithms.
A module refers to the organizational unit of a code that arbitrarily names Python objects. Modules can be bound and referenced for better organization of the code. It can determine functions, variables, and classes.
An algorithm is a set-by-step instruction that must be executed in a particular arrangement to arrive at a desired result. Generally, algorithms are separate from underlying languages, which means that it can be imposed in more than one programming language. This lesson discusses several important algorithms such as:
With one of the most powerful programming languages ever created, work on some next-level projects like A.I. and machine learning. Python is used in a multitude of different ways to create visual and usable data.
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