How To Use Python After Installing
In this tutorial, we volition larn the nuts of installing, working and updating packages in Python. First, nosotros will learn how to install Python packages, then how to use them, and finally, how to update Python packages when needed. More specifically, we are going to larn how to install and upgrade packages using pip, conda, and Anaconda Navigator.
Python Packages
Now, before nosotros are going to learn how to install Python packages nosotros are going to answer the question "what is a package in Python?"
What is meant past packages in Python?
Python packages are collection of modules. More specifically, a package typically contains Python functions, methods, and sometimes information, that are packaged in a well-defined format. When we install a parcel, information technology gives the states access to a prepare of functions or methods that are not available in the base Python
What is pip in Python?
pip is a standard packet-management system that nosotros can use to install and manage software packages written in Python. A lot of the Python packages can exist constitute in the default source for packages and their dependencies — Python Package Index (PyPI). pip is an acronyn and stands for "Pip Installs Packages". That is, we use pip to install Python packages. For example, pip install pandas will install the Python package Pandas and information technology's dependencies.
Installing Packages in Python
In that location are several methods that enable us to install Python packages. As previously mentioned, in this post we will larn how to install Python packages using pip, conda package managing director, and Anaconda Navigator. Note, if using conda package managing director or Anaconda Navigator we need to have the Python distribution Anaconda installed.
How to install a Python Package using pip.
Showtime, we are going to learn how to install Pandas using pip. It's quite easy! If we are using Windows we commencement upward the Command Prompt. Annotation, this is done by pressing the Windows icon in the left lower corner (or on your keyboard) and typing "Command Prompt".
When we have the command prompt started we blazon the following code and printing enter: pip install pandas.
- Python packages tin can too be installed straight into virtual environments using the tool Pipx.
If we want to install multiple Python packages at the aforementioned time, we just add them after the first:
Code language: Fustigate ( bash )
pip -m install pandas matplotlib seaborn
Note, it is also possible to use pip to install a specific version of a Python bundle. For example, you tin add "==" afterwards the packet name followed by the version of the packet y'all want to install.
How to install a Python Package using conda
Second, we are going to acquire how to install a Python package using conda. This is also very easy. Outset, we start up the Anaconda prompt. As in the example above, nosotros press the Windows icon but this time we type "Anaconda Prompt" and hit enter. In the Anaconda prompt, we type conda install -c anaconda pandas.
Note, here nosotros tin can choose which repository we want to install the Python packages from. In the example above, we used the anaconda repository. Notwithstanding, if nosotros desire to use another repo we tin can, of course, do this. For instance, if nosotros want to use conda-forge, the community-led repo, to install Python packages nosotros blazon the post-obit command:
Code language: Bash ( bash )
conda install -c conda-forge pandas
How to install a Python Package using Anaconda Navigator
Finally, nosotros are going to learn to install Python packages using the Anaconda Navigator. To start Anaconda Navigator, nosotros need to accept Anaconda installed (run into higher up) and we press the windows icon, down to the left. Here we type, "Anaconda Navigator" and press enter (or click on the app). Basically, there are 7 steps to install a Python bundle using Anaconda Navigator.
vii Steps to Installing a Python Bundle in Anaconda Navigator
- With the Anaconda Navigator started, press "Environments".
- Select your surroundings, create a new one, or just exit it every bit it is (base environment)
- Click on the dropdown carte du jour
- Click on "Not Installed"
- Search for Pandas and striking enter,
- Click on the check icon, when Pandas is found
- Click "Apply" in the lesser correct corner
Bonus: Installing Python Packages in a Virtual Environs
Now, as a bonus, we will learn how to create an environs, using conda, and install Python packages in this environment. First, we start up the Anaconda Prompt.
Creating a Python Environment using conda
Now, that we have the Anaconda Prompt we tin continue to create a Python environment. Creating a Python environs is easy when we are using conda. We just type the following command:
Code language: Bash ( bash )
conda create -northward pandasenv
Note, "pandasenv" is the proper name of the Python surround. If we want our Python surround to take any other name nosotros just alter this to the name we want.
Activating the Python Environment
Next, nosotros demand to activate the environment. Now, we just blazonconda activate pandasenvto actuate our Python environment.
Installing a Python parcel in a Python Environment
Of course, installing Python packages, using conda, in an environs is not any dissimilar than using conda to install Python packages in the base surroundings. Nosotros just blazon conda install -c anaconda pandas.
Annotation, even so, if we can also install multiple Python packages when creating the surroundings. For instance, we may want to install Pandas, matplotlib, seaborn, and statsmodels. In this case, what we will exercise, is just type conda create -n pandasenv pandas matplotlib seaborn statsmodels
How to use a Python Package
In one case a Python package is installed (basically the functions, methods, and so on, are downloaded to your reckoner), nosotros need to "call" the packet into the current session of Python. This is substantially like proverb, "Hey Python, we will be using these functions and methods now, please have them ready to get". Notation, that nosotros have to practice this every time we start a new Python script or session, so this should be at the top of our script.
When we want to call a package, use import <packagename> or oft we follow some kind of convention and blazon import <packagename> as <abbrevation> For case after nosotros accept installed Pandas we can commencement up our favorite Python IDE or a Jupyter Notebook. At the beginning of the script, nosotros type import pandas as pd at the top of the script.
What Python Packages are Installed At present?
If we e'er are curious almost what Python packages that we have installed on our computers, we can, of grade, bank check this. In this department, we are going to learn how to list all the installed Python packages using pip and conda.
List all Installed Python Packages using pip
Here, we are going to utilise pip to list all the installed Python packages. Note, in the example here, we use pip in a Python environment and there are not many packages installed. If we have a lot more packages installed, the result will, of class, wait different. Hither'southward i way to get all the installed Python packages using pip:
Code language: Bash ( bash )
pip list
Come across all Installed Python Packages using conda
In this subsection, we are going to use conda to come across all the Python packages we take installed. This is very simple. We merely type conda listing.
If we accept Anaconda installed, we tin too check out the Environments tab. Hither we tin can check what Python packages we have installed in our dissimilar environments. We just leave the dropdown on "Installed" and we can whorl down to see all the installed packages.
Updating Python Packages
In this section, we are going to larn how to update Python packages using pip and conda. This comes in handy every bit sometimes packages are updated by the users who created them. Updating packages tin sometimes make changes to both the packet and likewise to how your code runs. Earlier we update a Python package, we need to make certain we know what whatsoever changes are new and how potentially may bear on our code. That is, if we accept a lot of Python code, upgrading a Python package may completely alter the behavior, or functionality, of our code.
Conda: Updating Python Packages
If nosotros have Anaconda installed, we tin update a Python package using conda. More than specifically, nosotros employ the command conda update <packagename>. For case, if we need to update the Python package statsmodels, we type conda update statsmodels.
Updating all Python Packages using conda
If we want to update ALL installed Python packages, we remove the package proper name and add the "—all" argument:
Code linguistic communication: Fustigate ( bash )
conda update --all
Upgrading Python Packages using Pip
Finally, we are going to learn how to update packages using pip. It is also very simple. When nosotros need to update a Python package using pip we just type pip install -–upgrade and nosotros will upgrade this bundle. For case, if we want to upgrade the Python packet pingouin nosotros type pip install –-upgrade pingouin.
Sometimes, of form, pip gets an update and we may want to update pip. This tin can be done, using pip itself, the conda package manager, and the Anaconda Navigator. Run across more nigh this in the post three piece of cake methods to update pip.
Conclusion:
In this mail, we have learned how to install Python packages, how to employ them, and how to upgrade Python packages.
Source: https://www.marsja.se/learn-all-about-installing-updating-packages-in-python/
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