Python is one of the fastest-growing programming languages, used by mathematicians, data analysts, scientists, accountants, network engineers and more. It is a beginner-friendly language and has many applications in the fields of data analysis, machine learning, and web development.
However, learning the basics can take a few weeks. It depends on your level of motivation and commitment to coding.
1. Learn the Basics
Python is a simple, intuitive, and powerful programming language that is used in multiple fields. It can be used for data analysis, finance, scientific research, and more.
Moreover, it is an open-source programming language that is available for free. It has a strong community and is widely used by professionals and beginners alike.
If you’re new to coding, Python is a great place to start. It is easy to learn and requires less time to master than other coding languages.
2. Understand Object-Oriented Programming Concepts
Object-Oriented Programming (OOP) is one of the most popular programming styles for software developers. It helps programmers organize their code and create reusable sections of code.
Python is a great beginner-friendly language that supports OOP concepts like encapsulation, inheritance, and polymorphism. These core OOP concepts are important for any Python programmer to understand.
OOPs aims to encapsulate data and functions inside objects, so that the code doesn’t need to refer to them outside of the class. This can help avoid bugs and improve performance.
3. Learn Frameworks for Web Development
Python is a high-level programming language that lets programmers build scalable and sophisticated web applications. It is a favorite for tech companies and programmers alike due to its simple syntax, extensive libraries, and capacity to develop and test automation.
Whether you’re developing a website, an API, or a complex solution with machine learning algorithms, there are numerous frameworks to help you streamline your development process. These frameworks relieve developers of mundane tasks such as thread management and low-level detail management so that they can focus on building the core logic of your project.
4. Understand Data Structures
Data structures are important for programming because they provide developers with a way to organize and store data. This allows them to access it efficiently and perform logical operations on it.
Python has a variety of built-in data structures, including arrays, lists, sets, and Tuples. You can also create custom data structures for your own needs.
Data structures are a critical part of any software program and help you solve problems more quickly. They also allow you to work with large amounts of data while maximizing performance.
5. Learn Variables and Data Types
In a computer programming language, data types determine the kind of information that can be stored in a variable. Variables can be of different data types, including integers, floating-point values, strings, and complex numbers.
Python has six data types that you can use in your code: num, int, float, string, complex, and boolean. Using these different types is essential for working with numbers and text.
Integers – This data type is used to store numeric values like positive and negative whole numbers, with no decimal points. Float – This data type is used to store numbers with floating-point representation and can be accurate up to 15 decimal places.
6. Learn Functions
Using functions is an important part of any programming language. They allow developers to reuse code and reduce repetition in programs.
Python offers built-in functions, such as print and input, which you can use in your programs to perform specific tasks. However, you will often need to write your own functions to solve specific problems that your data poses to you.
Learn how to define functions, work with arguments and parameters, and understand function docstrings. By the end of this tutorial, you’ll be able to write your own functions in Python.
7. Learn Object-Oriented Design
Object-oriented programming (OOP) is a popular programming paradigm that reduces development times. It also makes your code more readable and easier to reuse.
Python is an OOP-based language that supports all the core aspects of a generic OOP framework, including inheritance, encapsulation, polymorphism, and abstraction.
In this tutorial, we’ll learn how to define and use classes in Python. These are blueprints for objects, containing attributes and methods that can be called to create them.
Class attributes and methods in Python are public by default. This means that they can be accessed by any object of the same class, including other classes.