Become a Python Developer

Python 3

These lessons briefly and informally introduce the essential features and concepts of the Python 3 programming language. 

Part 1 of 6: Getting Started

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.

Part 2 of 6: Statements

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:

• If and Else statements
• For Statements
• While Statements
• Try Statements
• Assignment Statements
• Pass Statement
• Break and Continue Statements
• Range function

Part 3 of 6: Data

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:

• Integer
• Float
• Function
• String
• Complex

Built-in Data Structures:

• Dictionary
• List
• Tuple

Part 4 of 6: Functions and Classes

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. 

Part 5 of 6: Programming Tools

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):

• Eclipse + PyDev
• Visual Studio
• PyCharm
• Spyder
• Thonny

Code Editors:

• Sublime Text
• Atom
• GNU Emacs
• Vi/Vim
• Visual Studio Code

Part 6 of 6: Modules, JSON, and Algorithms

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.

Javascript Object Notation is a standardized format that sends data as text over a network. It presents objects as name or value pairs. It is commonly used in many APIs and Databases since it allows for easy reading from both machines and humans. 

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:

• Search
• Sort
• Insert
• Update 
• Delete