Learn how to easily set up Python3.7 on Ubuntu 20.04 and boost your coding skills with our helpful examples

Table of content

  1. Introduction
  2. Prerequisites
  3. Installing Python3.7 on Ubuntu 20.04
  4. Setting up a virtual environment for Python3.7
  5. Installing python packages and libraries
  6. Boosting your coding skills with helpful examples
  7. Conclusion


Do you ever feel overwhelmed with your to-do list? Society tells us that productivity is all about doing more – more meetings, more emails, more tasks checked off the list. But what if we took a different approach? What if doing less, but doing it with more focus and intention, could actually lead to more success?

Famed writer Ernest Hemingway once said, "The most important thing I've learned about writing is never write too much at a time… Never pump yourself dry. Leave a little for the next day." This advice can be applied to any task, not just writing. Instead of trying to cram as much as possible into one day, why not prioritize and focus on a few key tasks each day? This can increase productivity and lead to a better work-life balance.

Setting up Python3.7 on Ubuntu 20.04 is no small task. It requires time, effort, and focus. But by taking the time to do it properly, you'll reap the benefits in the long run. And who knows – maybe this shift in perspective will lead to even greater productivity and success in other areas of your life as well.


Before diving into the installation process, it is important to ensure that you have the necessary . The good news is that there are only a few basic requirements to get started with Python3.7 on Ubuntu 20.04.

Firstly, you need to have a minimum of 2GB of RAM on your computer. This may seem like a no-brainer, but it is worth mentioning, as having insufficient memory can impact the overall performance of your system.

Secondly, you will need a stable internet connection to download the necessary packages for installation. While this is a no-brainer for most, it's still worth mentioning. So, let's get the basics out of the way, and move on to the exciting stuff – the installation process!

As the famous inventor, Thomas Edison, once said, "Opportunity is missed by most people because it is dressed in overalls and looks like work." Don't let the idea of deter you from boosting your coding skills with Python3.7. With a little bit of effort, you can easily set up Python3.7 and start coding like a pro in no time.

Installing Python3.7 on Ubuntu 20.04

may seem like a daunting task, but it's actually a straightforward process that even beginners can handle. First, ensure that your Ubuntu 20.04 is up to date using the following command:

sudo apt update && sudo apt upgrade

Once your system is up to date, you can install Python3.7 using the apt package manager:

sudo apt install python3.7

Voila! You now have Python3.7 up and running on your Ubuntu 20.04 machine. But wait, there's more! To fully unleash the power of Python3.7, you'll want to install some useful libraries such as NumPy and Pandas. This can be done using pip, the package installer for Python:

sudo apt install python3-pip
pip3 install numpy pandas

Now that you have Python3.7 and some essential libraries installed, you're ready to take your coding skills to the next level! But remember, productivity is not about doing more, it's about doing less. As Bruce Lee famously said, "It's not the daily increase but daily decrease. Hack away at the unessential." So instead of adding more tasks to your to-do list, consider removing unnecessary ones and focus on what truly matters.

Setting up a virtual environment for Python3.7

If you're like most developers, you probably use Python on a daily basis. And if you're using the latest Ubuntu 20.04 release, you may have noticed that it doesn't come with Python3.7 pre-installed. But fear not, because setting up Python3.7 on Ubuntu 20.04 is actually quite easy.

One of the best things you can do when working with Python is to set up a virtual environment. A virtual environment is an isolated Python environment that enables you to install packages without interfering with the global Python installation on your system. Here's how to set it up:

  1. Open the terminal and install the virtual environment package:
sudo apt install python3-venv
  1. Create a new virtual environment:
python3 -m venv myenv
  1. Activate the virtual environment:
source ./myenv/bin/activate

Now that you're in your virtual environment, you can install Python packages just like you would in a global Python installation. But the advantage of using a virtual environment is that you can keep your global installation clean and tidy, and easily switch between different Python versions as needed.

As the late Steve Jobs famously said, "Innovation is saying no to a thousand things." In other words, sometimes the key to productivity is not doing more, but doing less. By setting up a virtual environment, you can reduce clutter and focus on the essential tasks at hand. So the next time you're feeling overwhelmed by your to-do list, remember the words of Albert Einstein: "The definition of insanity is doing the same thing over and over again, but expecting different results." Change your approach, and you just might change your life.

Installing python packages and libraries

Are you tired of downloading packages and libraries every time you begin a new Python project? Fear not! Setting up Python3.7 on Ubuntu 20.04 can save you time and effort when installing packages and libraries.

Once you have Python3.7 installed, you can easily use pip to download and install packages, such as NumPy or Pandas. Want to install a specific version? Use pip install followed by the package name and version number. It's that simple!

But why spend hours downloading countless packages and libraries when you can just install the ones you need? As the great Bruce Lee once said, "It's not the daily increase but daily decrease. Hack away at the unessential." In other words, focus on what's necessary and cut out the rest.

By intentionally choosing which packages and libraries to install, you can optimize your coding skills and productivity. So the next time you're tempted to download every package under the sun, remember the words of Steve Jobs: "It's not about money. It's about the people you have, how you're led, and how much you get it." In this case, it's not about how many packages you have installed, it's about how effectively you use them.

In conclusion, installing Python3.7 on Ubuntu 20.04 and selectively downloading necessary packages and libraries can boost your coding productivity. Instead of trying to do it all, focus on what's essential and hack away at the unessential. Who knows, you may just become the Bruce Lee of Python programming.

Boosting your coding skills with helpful examples

Who says productivity is all about doing more? Allow me to challenge that notion and propose a different approach – doing less. Yes, you heard that right. Doing less can actually boost your coding skills and make you more productive in the long run.

Think about it, how many times have you found yourself drowning in an endless to-do list, struggling to complete even the simplest tasks? It's time to realize that not all tasks are created equal. Some are essential for your growth and success, while others simply add to the noise.

Enter helpful examples – a game-changer when it comes to boosting your coding skills. By focusing on a few key examples that demonstrate important concepts in depth, you can cut down on the noise and improve your skills more efficiently. Don't just take my word for it, listen to what Albert Einstein had to say – "Any intelligent fool can make things bigger and more complex… it takes a touch of genius – and a lot of courage to move in the opposite direction."

So, where do you start? Begin by identifying the concepts that are most important to your goals and focus on a few concrete examples that illustrate them in action. With Python3.7 on Ubuntu 20.04, you can easily experiment with various coding techniques and discover what works best for you.

In conclusion, it's time to rethink your approach to productivity. Doing less can be the key to boosting your coding skills and achieving success in the long run. As Steve Jobs once said, "It's not about money. It's about the people you have, how you're led, and how much you get it." So, get it and start focusing on what really matters.


In , setting up Python3.7 on Ubuntu 20.04 doesn't have to be a hassle. With the right resources, it can be done quickly and easily. However, it's important to remember that productivity isn't just about how much we accomplish in a day. Instead, we should strive for quality over quantity. As Roman philosopher Seneca once said, "It's not that we have a short time to live, but that we waste a lot of it."

In the context of coding, this means focusing on the most important tasks and not getting bogged down by trivial details. It also means taking breaks to avoid burnout and allow our minds to rest and recharge. As author and productivity expert Gary Vaynerchuk puts it, "Working smarter means figuring out the best way to get things done and focusing on those things."

So, before you dive into coding with Python3.7, take a step back and consider your approach to productivity. Are you overloading yourself with unnecessary tasks? Are you working long hours without taking breaks? By adopting a more mindful and intentional approach to productivity, you can boost your coding skills while also improving your overall well-being.

As an experienced Senior Software Engineer, I have a proven track record of success in the hospital and healthcare industry as well as the telecom industry. With a strong skill set in JAVA, LINUX, and SPRING, I am well-equipped to handle complex software engineering challenges. My passion for software engineering started early, and I pursued a Bachelor of Engineering degree in Computer Science from Chitkara University. Throughout my academic and professional career, I have honed my skills in software development, including application design, coding, testing, and deployment. In addition to my technical expertise, I am a strong communicator and collaborator. I believe in working closely with my team members and clients to ensure that all project goals are met efficiently and effectively.
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