How Much Time Does Learning Python Take?

Jan 25, 2023

min read

Python can be regarded as beginner-friendly because it is a programming language that stresses readability due to the fact that it is readily understandable. In other words, if you want to learn Python and eventually become proficient with it, you can start by referring to tutorials and instructions that are made to make Python simpler for newcomers.

After taking a brief Python training, new programmers can quickly dive into the realm of development due to its syntax's resemblance to the English language. It is not only more intuitive since it is dynamically typed and adaptable, but it is also more forgiving because it can run with some degree of error.

Learning a technical skill like Python programming may initially seem frightening, but it is not as challenging as you may imagine. Choosing a Deep Learning with Python course is among the simplest methods to go about it. But if you wish to try the training curve on your own, just adhere to the advice given below. For novices, they cover how to start using Python.

1. Code Everyday

Python is a language, and just like any other language, repetition is key to learning it. Try to dedicate time every day, even if it is just for 15 minutes, to practice coding. Any popular Python course you may find on the internet is broken up into short video lectures, quizzes, and coding practice exercises. This type of structure can make it easier to find time to learn in your life. It may also help you learn Python more efficiently. Learning in small chunks (a technique known as microlearning) improves retention and engagement.

2. Start with the Fundamentals

No matter how you plan to use Python in the future, you will want to start with the same set of fundamentals. Learning the basics first will set you up for success when you go on to tackle more complex uses. Whether you learn Python on your own or through a Python course, be sure to cover the fundamentals such as basic syntax, loops, functions, and APIs.

3. Focus on Logic over Syntax

Understanding the how and the why of your lines of code in Python is more important than memorizing the syntax. To properly learn Python you have to switch to a more technical focus such as remembering to close your parentheses. Furthermore, you can always look up how to structure your code on Google or Stack Overflow (an online community for programmers). But you will need to understand the logic of what you are trying to accomplish. As you are working through Python coding problems, you may find it helpful to hand write an outline of what your code needs to do without worrying about syntax. This is called pseudocode, a technique even experienced Python programmers use to plan out their programs.

4. Let your Goal Guide your Learning

Once you have built a foundation with the basics, it is then that the world of Python opens itself up to you. As you progress, it is important to know your goal and allow it to dictate your learning path. If you are building the skills for a new career as a data analyst, for example, you will probably want to learn Python skills like data scraping or visualization. If you are more interested in becoming a developer, you may want to focus on skills like version control and multi-process architecture. The types of libraries, frameworks, and the Integrated Development Environment (IDE) you learn to work with will also vary based on your career goals.

5. Join a Python Community

Instead of learning to code as a solitary activity, surround yourself (advisably virtually, given the current state of the world) with others who have decided to learn Python. This can help boost your motivation while giving you a place to swap tips and tricks with other programmers. If the active Python communities of Quora and Reddit are not to your liking, you could also join PySlackers to meet other Python enthusiasts on Slack or the Python Discord channel where interactivity is a norm.

The initial purpose of Python was to make programming easy, as it is focused on code readability. It is also flexible and can run on diverse platforms such as Windows, Linux, and Mac OS along with being an open-source software. But despite having such a simple root, Python is not limited to basic use. It supports some of the most complex websites and apps in the world, meaning your career opportunities will skyrocket if you choose to learn Python.

Here are some of the doors that would open along with their ROI that would show their faces if you choose to learn Python and stick to the path of programming: