The Best Way to Learn Python Programming for Beginners

Python is the favorite programming language and the most preferred by programmers because it is very simple, open source, high portability, powerful libraries, and user friendly. In addition, python is also considered to be easier to code and solve complex problems when compared to other programming languages, such as C++ and Java. From time to time, python continues to develop in various aspects, from the libraries it offers to tools that are constantly being improved. Entering the industrial revolution 4.0 where all aspects will transform and rely on computers and the internet, mastering programming languages ​​is one of the skills that will be needed a lot. Careers in data science python course london and programming languages ​​are predicted to soar in the next few years.

Python is an object-oriented programming language. One way to learn any programming language, especially python, is to understand how to learn it. Python programming language is considered as an easy language to learn by beginners. So, if you want a career in programming, you don’t have to worry. In this article, DQLab will discuss the best ways to learn python for beginners. Curious? Let’s read this article to the end!

1. Make Short Notes on Important Python Concepts

A study shows that writing notes by hand is very beneficial in the long run. Therefore, when we are learning something, it never hurts to note down the important things we find while studying. As with learning the python programming language, it is highly recommended to take note of the important concepts that we have learned. We can review these notes later if needed. In addition, a note can also be used when we start creating a python project and help us organize the code before it is transferred to the computer.

2. Studying Important Topics

There are many important concepts that we should know while learning python. We can start by learning basic topics such as variables and data types, conditionals, loops, functions, and so on. After studying basic python topics, we can continue by studying topics at the medium level, such as data structures and algorithms, concurrency and multithreading, APIs and so on. Finally, after mastering these two topic levels, we can continue to learn advanced concepts, such as the python framework and library. 

If our goal of learning the python programming language is to become a data analyst, the libraries we must master are Pandas, Numpy, and Matplotlib. If we want to have a career in the world of wep developing, then the libraries that must be mastered are Django and Flask. Finally, if we want to have a career in machine learning, then we must master the Scikit-learn library, Tensorflow, and several API libraries such as FastAPI and Falcon.

3. Focus on One Topic at a Time

Python is a versatile programming language and involves many different frameworks and libraries. Therefore, it is very important to choose one field that you want to study, for example, focus on the topic of data science first. Tips that can be done are first, learn the basic python concepts first, such as variables, loops, tuples, lists, and so on. Second, start learning python libraries for data analysis such as Pandas and Numpy. Finally, focus on studying the Matplotlib library for data visualization. If we feel confident in our analytical and visualization skills, we can continue to study machine learning libraries, such as Scikit-Learn, Keras, and so on. With this way,

4. Working on Projects to Build a Portfolio

The most effective way to learn python is to implement our learning results to work on a project. After we feel that we have mastered the topics in python, we can start working on a mini project to measure our abilities and learning outcomes. This project not only helps us to build self-confidence, but also helps us to increase the portfolio on our resume. This project can be used as a parameter and evaluation material to measure our abilities and learn to solve problems if an error occurs during the coding process.

5. Knowing the Right Learning Strategy

If we want to master a field, then we must have a learning strategy that suits us. One of the widely used strategies for learning python is to take courses. A course institution usually has its own curriculum so that our learning process is structured from beginner to advanced steps. 

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