Looking to install Python 3.9 on Ubuntu 20.04? You’ve come to the right place! Python is a popular programming language for developers, data scientists, and software engineers. With the latest version of Python, you can take advantage of the newest features and functionality to enhance your Python development experience. In this step-by-step tutorial, we’ll guide you through the process of installing Python 3.9 on Ubuntu 20.04. By the end, you’ll have a fully functional Python environment on your Ubuntu machine, ready for your next project. So let’s get started!
Introduction.
Due to its simplicity and simplicity of use, Python 3.9 is a high-level, interpreted programming language that developers frequently use. With new features and improvements that make it a desirable option for developers, it was released in October 2020. On the other hand, the most recent version of the Ubuntu operating system is version 20.04 LTS (Long-Term Support). Due to its dependability and security features, it is a reliable and secure operating system that is frequently preferred by developers and system administrators. In this tutorial, we’ll go over the steps to install Python 3.9 on Ubuntu 20.04 LTS and give you a step-by-step guide to make sure you’re doing it correctly.
Python 3.9 has Many Advantages
Python 3.9 is a fantastic option for developers thanks to its many advantages. The most significant ones are as follows:
Improved performance and quicker start-ups times
Compared to previous versions, Python 3.9 performs significantly better. For developers who require quick and dependable development tools, it is the best option because it has quicker start-up times and improved overall performance.
New and better modules are available.
Programming is much simpler with Python 3.9’s addition to a number of new and improved modules. These modules include zoneinfo and graphlib, which are useful for handling time zones and graphs, respectively.
A more succinct and expressive syntax
Python 3.9 has a number of new features that make it more understandable and concise. The walrus operator and structural pattern matching are two examples of these features. While structural pattern matching makes working with complex data structures simpler, the walrus operator enables more succinct code.
Improved debugging and error message formats
Better error messages and debugging tools are included in Python 3.9, making it simpler to spot and fix errors in your code. This can save you time and effort when debugging your code.
Enhanced security features are provided.
Python 3.9 is more secure than previous versions thanks to improved security features. It eliminates the vulnerable “pickle” module, which was a security risk in prior versions.
Overall, upgrading to Python 3.9 can streamline your development process and increase the security and efficiency of your code. Python 3.9 is a fantastic option for developers looking to increase their development workflow and code efficiency because of its enhanced performance, new and improved modules, more concise and expressive syntax, enhanced error messages and debugging tools, and improved security features.
Python 3.9 Installation: Prepared
It’s crucial to prepare the system by checking if Python is already installed, upgrading Ubuntu, and installing essential packages before installing Python 3.9 on Ubuntu.
A. Verify whether Python has already been Installed.
To avoid conflicts during the installation of Python 3.9, it is crucial to check if Python is already installed on the system. Open a terminal and type the following command to confirm that Python is installed:
``Bash
,`.
python3 –version
The version number will return if Python is installed. An error message will be displayed if Python isn't installed.
### B. Upgrade Ubuntu
Before installing new software, upgrading Ubuntu is a suggested practice. Open a terminal, then type in the following commands to upgrade Ubuntu:
```Bash`,`.
Update your aptitude system with the following command:
upgrade your aptitude system.
These commands will update the package list and upgrade all the installed packages to the most recent version.
C. Install Essential Packages.
Installing the necessary Python packages is necessary before installing Python 3.9 from source. Install the required packages by opening a terminal and using the following command:
``Bash
,`.
Install the build-essential z lib1g, libncurses5, libgdbm, libnss3, libssl,dev libreadline, and libffi-dev wget in the aptitude setting.
These packages come with the tools and libraries required for the installation and configuration of Python 3.9 on Ubuntu.
##I. downloading Python 3.9
Following these instructions will enable Python 3.9 to download and install on Ubuntu 20.04:
1. Utilize your preferred web browser to access the official Python website at [https://www.python.org/downloads/](https:// www.Python.org).
2. After landing on the Python website, choose the most recent version of Python 3.9 for Ubuntu 20.04 by scrolling down the page and clicking the appropriate download link.
3. By clicking the download button after choosing the appropriate Python version, you can download the installation file.
4. To your Downloads directory, save the Python 3.9 installation file.
You can download Python 3.9 and get ready for the installation process by adhering to the aforementioned steps. How to install Python 3.9 on Ubuntu 20.04 will be covered in the next section.
## Installing Python 3.9
To install Python 3.9, you need to follow these simple steps:
### Step 1: Open the Terminal
First, open a terminal window by pressing `Ctrl+Alt+T` on your keyboard.
### Step 2: Navigate to the Download Directory
Once you have opened the terminal, navigate to the Downloads directory by typing the following command in the terminal:
```bash
cd ~/Downloads
Step 3: Extract the Installation File
Extract the Python 3.9 installation file by running the following command:
tar -xf Python-3.9.5.tgz
Step 4: Navigate to the Python Directory
Navigate to the newly extracted Python 3.9 directory by running the following command:
cd Python-3.9.5
Step 5: Configure the Installation
Configure the installation by running the following command:
./configure --enable-optimizations
This will optimize the installation for your specific hardware and ensure the best performance.
Step 6: Build and Install Python 3.9
Build and install Python 3.9 by running the following command:
sudo make altinstall
This will compile the Python code and install it onto your system.
Step 7: Verify the Installation
Verify that Python 3.9 has been installed correctly by running the following command:
python3.9 --version
You should see the version number of Python 3.9 displayed in the terminal. If you see the version number, congratulations! You have successfully installed Python 3.9 on your Ubuntu system.
Python Virtual Environments: Using Python
To manage dependencies and isolate various Python projects, Python virtual environments are a crucial tool. A virtual environment is an isolated Python environment that enables you to install packages and dependencies without affecting the global Python installation.
Using Virtual Environments Has Many Advantages
Virtual environments offer a number of advantages, like:
* Isolating thedependencies of each project
* allowing you to work with various projects that call for various versions of the same package
* avoiding conflicts between various packages of the same size
* making it simpler for others to share the requirements of your project.
Use the “venv” Module to Create a Virtual Environment
Utilizing the built-in “venv” module makes creating a Python virtual environment simple. Use the following command to navigate to the directory where you want to create the environment and run it:
``Bash
,`.
Myenv is python3-m venv.
The virtual environment files will be contained in the new directory "myenv" created by this command.
### Activating and De Activating a Virtual Environment
The following command will allow you to activate a virtual environment: navigate to the directory that houses it:
```Bash`,`.
Myenv/bin/activate is the source.
The terminal prompt will display the name of the virtual environment once it has been activated. Simply use the following command to deactivate the virtual environment:
``Bash
,`.
deactivate.
Use pip to Installing Packages in a Virtual Environment
Install packages in a virtual environment first by running the virtual environment, then install the packages using pip. Running the following command, for instance, will install the "numpy" package:
```Bash`,`.
numpy should be installed in the pipe.
In the activated virtual environment, the “numpy” package will be installed by this command.
To organize your projects, manage dependencies, and prevent conflicts between various packages, using virtual environments is a crucial component of Python development. We’ll talk about typical errors you might run into during the installation process in the next section, along with solutions.
B. Permission Errors
When running installation commands for Python 3.9, permission errors may happen. Make sure you run all installation commands with sudo
. To prevent this, You’ll have the required permission to install the software thanks to this.
C. PIP Installation Mistakes
When installing packages with pip, mistakes might arise. By installing packages specifically for Python 3.9, you can be sure that you are using the correct version of pip
. For instance, consider these:
Bash`,`.
P pandas should be installed in the pip3.9 installer.
The Python 3.9 Pandas library will be installed by this command.
A. Recommended Python Development Tools and IDEs
There are many different tools and IDEs available when it comes to Python development on Ubuntu. There is an option available that will meet your needs, regardless of your level of experience as a developer. Here are some well-liked choices:
- A potent IDE with cutting-edge debugging and code analysis tools is PyCharm.
- A lightweight editor with Git integration and support for numerous programming languages is Visual Studio Code.
- Sublime Text is a form of communication. a flexible text editor with a variety of plugins and features.
B. Advantages of Using Virtual Environments to Development Python
Because it enables you to isolate your various projects and avoid conflicts between various Python and packages, using virtual environments for Python development is highly advised. Additionally, it makes dependency management simpler and guarantees that your projects are reproducible. The following advantages of using virtual environments are provided:
- Isolation is a form of loneliness. You can work on various projects with different dependencies without any conflicts because each virtual environment is completely isolated from others.
- Reproducibility is: You can make sure that your projects are reproducible and can be run on various machines by using virtual environments.
- Dependency management: Virtual environments make it simple to control dependencies for each project.
C. overview of Popular Python Libraries and Frameworks
Web development, data analysis, machine learning, and other uses can all be done with Python’s extensive ecosystem of libraries and frameworks. Here are some well-liked frameworks and libraries.
- Flask: a lightweight web framework for creating RESTful websites and applications.
- Django is a fully-stack web framework for quickly creating complex web applications.
- A library for using matrices and arrays called NumPy.
- Pandas: A library for data analysis and manipulation.
- A well-liked machine learning library for creating and training neural networks is TensorFlow.
- Another well-liked machine learning library is PyTorch, renowned for its adaptability and simplicity of use.
Conclusion: Conclusion
In conclusion, we have demonstrated how to install Python 3.9 on Ubuntu 20.04. We have also discussed the advantages of using virtual environments for Python development, advised Python development tools and IDEs, and given an overview of well-known Python libraries and frameworks. You can make sure that you have the most recent version of Python and take advantage of Ubuntu’s stability and security for your development environment by adhering to these steps and using these resources.
As a software engineer with over a decade of experience, I have worked on various projects that utilized Python for web development, data analysis, and scientific computing. I have also contributed to open source projects that use Python, including creating custom modules and libraries. Additionally, I have completed several online courses and attended workshops on Python programming and software development. I stay up to date with the latest trends and advancements in the field through attending conferences and reading research papers and articles from reputable sources, such as the Python Software Foundation and the Association for Computing Machinery (ACM).