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What is PyCharm?
Facebook for mac os. If you are a student or teacher, register your valid institutional email address on the JetBrains student application page to apply for the free version of PyCharm professional. If you are an open source developer who contributes heavily to an existing project, you can visit the JetBrains Open Source license page to see if you qualify for a. Download the latest version of Educational Products by JetBrains: for Windows, macOS or Linux.
PyCharm is an integrated development environment (IDE) used for the development of Python projects specifically. It is a very robust and well-designed system in the sense that it provides everything that a Python user would ever need. It hassupport for web elements in the form of Django and possesses equally strong tools for data science applications as well.
You may be wondering what some of these terms actually are and there is no need to worry as we will make sure that by the end of the article, you understand each and everything properly. First, we will discuss what an IDE is.
Explaining what an IDE is
To put it simply, an IDE is a kind of program where you can write code and do a number of things with it like debug it (find errors in it) and what not. Essentially, an IDE is your factory where you will be producing all sorts of codes and projects. There are tremendous amounts of IDE’s available for use in today’s world but not every one of them has what every user needs.
The requirements of every user are different and it is a wise decision to do thorough research about what exactly you need before you commit to using something particular. If you are just starting out with coding, any free IDE might do your job. On the other hand, if you have some experience under your belt, you will most likely need something that performs unique tasks that can make your daily life at work or home projects much easier. For this type of luxury, you will probably need to shell out some form of payment. Most premium IDE’s are available in a monthly subscription system and they usually offer some form of concession depending on if you are a student. To be eligible for a discount though, you might need to fulfill some of their requirements which can involve either living in a specific country/area or be enrolled in a particular institute.
PyCharm Community Edition
Since we have covered one of the basic building blocks of the terminologies used here, we will now move on to discussing what the free version (also known as community version) has to offer to the public.
Usually, the premium versions build on top of the free versions in ways that offer much more utility that an average user will typically never need. But it also means that in no way are the free versions incapable of performing the basic tasks.
If you are getting PyCharm just to get into the world of programming, everything basic will be provided to you in the free version. A basic online programming course will not indulge in anything specific like web programming and will simply cover core programming concepts that are applied in pretty much every programming language ever. If we were to make a list of some of the important features that are available in the free version, this would be it:
- Intelligent Editor
- Graphical Debugger
- Version Control Integration
- PyQt
- PyGTK
- iPython Notebook
Apart from these, the free version of PyCharm has a magnitude of other great features that will undoubtedly keep the users busy and interested at all times. In fact, almost all free versions of IDE’s are designed in ways that make the user get drawn into the world of programming and down a specific path as well. Once the user wants to, let’s say involve themselves in web development using Django and PyCharm’s specific utilities, they can look towards opting into a premium plan. There are a number of reasons why you would want to opt for a premium plan and web development is just one of them. If you want to explore the lengths you can go to, it is best to check out the official website of PyCharm to get a full list of features that are available.
PyCharm Premium Version
If you are interested in the special features that you can avail by signing up for a premium plan then keep on reading! If you happen to look at the pricing for the premium plan, you may be in shock. The reason that premium plans are expensive is that they provide professional developers with specific tools that make their day-to-day jobs much simpler and less monotonous. Professional developers will have no problem shelling out a few hundred dollars a year to get those shiny tools at their disposal since the revenue they generate with this added help is enormous.
Now that we have crossed the price shock, we will look at a premium feature, Django, in a bit more detail.
Django is a very high-level web development aid that developers are ogling over these days. You may be wondering, what makes Django so special and why is getting so much hype these days? Well, to put it simply, one of the reasons for its global acceptance is because it is open-source and therefore free to use for anyone.
It is created in a manner that allows its users to make the ideas in their turn into tangible products within the shortest possible timeframe imaginable. It’s tight security constraints and scalability allowances make it a favorite among all sorts of developers.
Other Premium features are listed below:
- Scientific Tools
- Web Development
- Python Web Frameworks
- Python Profiler
- Remote Development Capabilities
- Database & SQL Support.
How to decide if it’s time to switch to a premium version?
It’s quite simple actually. If you are bringing in good money from your freelance projects or your daily job and the complex development tasks are taking extra time off you that you feel can be utilized somewhere else, then it is a no brainer that you should start paying for the premium services.
However, it is not recommended to buy a premium version of any IDE at the start. You won’t know if you will commit to it without spending a good amount of time on it. It’s also possible that the tasks you want to buy a premium version for are available for free in a different IDE. Until you’ve done some good exploration, it is highly advised that you keep your credit card away to avoid making a purchase that you’ll regret soon afterward.
In a nutshell, Start Small, Think Big.
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Today we’re going on a Python adventure using Jupyter notebooks and PyCharm! First, let’s talk about what these are. Jupyter Notebook is a web application where you can create interactive coding documents, supporting many programming languages including both Python and R as well as Markdown. PyCharm is an amazing IDE (interactive development environment) for Python that has tools and plugins to help you code more efficiently. You can develop your code both locally and remotely using PyCharm. First, let’s get set up!
Getting started with PyCharm
Install PyCharm.I highly recommend installing PyCharm Professional because you get more features like SciView that are awesome for data science. Plus PyCharm Professional is free for students!
Download openoffice for mac os. Install Python if you don’t already have it - you’ll need an interpreter in order to use PyCharm! Be aware that Python 2 and Python 3 are different in terms of syntax - don’t worry, you can load either version in PyCharm when you start a new project. If this is your first time developing in Python, I recommend going with the latest version 3.8.3.
Create a new project in PyCharm and select your local Python interpreter. Here, I created a new project called ‘pycharm’ in a directory on my desktop and selected Python 3.7 as my interpreter.
Install Jupyter by selecting PyCharm >> Preferences >> Project Interpreter, then click the “+” button to add new packages.
Then type ‘jupyter’ and select jupyter from the packages list. Then click the ‘Install Package’ button at the bottom of the window.
Create a new Jupyter notebook by navigating to File >> New… and selecting ‘Jupyter Notebook’. Alternatively, if you just want to create a Python script you can select ‘Python File’. Here, I created a new notebook called pycharm.ipynb.
Let’s start editing our notebook by adding a Markdown cell. In the editor next to the ‘#%’, add ‘md’ to set the cell type to Markdown. Then use Markdown formatting, such as ‘### Header’ like in my example here. Notice that the right side panel displays a preview of your notebook.
Now let’s add a coding cell. Click the ‘+’ button just below the Markdown cell to add a new cell. Add your code and click the green arrow to run the code in the cell.
Here I created and printed a variable called my_string.
Let’s check out a cool feature of PyCharm Scientific View. Add the following to a code cell and run it:
Next, open your Jupyter tab at the bottom of your PyCharm window, click on the variables tab, and right click on the new variable you just created called ‘data’. Select ‘View as Dataframe’, then click on the ‘SciView’ tab on the right panel.
This is a great feature for viewing your stored variables. You can view both dataframes and arrays with SciView.
Let’s try launching this notebook in our browser. Click on the text at the bottom of your PyCharm window that says “Jupyter Server started at http://localhost:8888// Open in Browser”. You should see an Event Log window pop up in the bottom right panel. Click on “Open in Browser” to launch your notebook in your web browser.
You should now see something like this in your browser:
Click on the notebook to run your code in the browser window. You can run cells by clicking the Run button in the top tool bar, or by clicking Ctrl + Enter.
Sync files with a remote server
Let’s say you want to sync files on a remote server. You’ll need to set up your file transfer protocol. Select Tools >> Deployment >> Browse Remote Host. Then select your protocol - here I chose SFTP (secure file transfer protocol).
Next, configure your connection to the remote host by adding your IP address and log in credentials. Optionally, set your root path to the path on the remote server where you want to access files.
Click on the Mapping tab and set your local path to your project directory in PyCharm. Set the deployment path to the directory on the remote server where you want to access or upload files.
Sync your local directory with the remote directory by right-clicking on your project in the left panel, then select Deployment >> Sync with Deployed To…
Then click the green double arrow button “Synchronize All” to sync your files. You can use the ‘Remote Host’ tab on the right panel to view your remote file tree.
Run a remote Jupyter server kernel
If you want to run an interactive Jupyter notebook on a remote server in PyCharm, you’ll need to set up your Jupyter server configuration and remote Python interpreter.
In the terminal, SSH into your remote server, navigate to the directory where your data is, then launch a Jupyter notebook.
Navigate to the directory where your data is located. Then launch a jupyter notebook by running the following:
This will return a url and token, similar to:
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Copy this entire url and token. Make sure you copy it all from one line - I have to make my terminal full screen for this. Otherwise you might get a weird line break and your url/token might not work.
Open a new Jupyter notebook file and select ‘Configure jupyter server…’.
Paste your url and token in the field for ‘Configured Server’. Then click ‘Apply’.
You should now be able to access data on the remote server in your Jupyter notebook. Here, I cloned my repo on the remote server, and I’m accessing a csv file with the pandas library.
If you want to use an interpreter on the remote server, you can figure the interpreter by naviating to Pycharm >> Preferences >> Project Interpreter…, then select the wheel button next to your current interpreter and select ‘Add…’. Then select ‘SSH interpreter’ and choose ‘Existing server configuration’. From the dropdown menu, select the SSH configuration that you set up in step 2 of the ‘Sync files with a remote server’ above.
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Note:Unfortunately, you cannot view your variables while using a remote Jupyter server kernel as documented here.
Congrats on developing in Jupyter Notebooks and PyCharm! I hope you enjoyed this tutorial, feel free to comment below with any comments/questions! 😎