Simply upload the data, read it to a pandas dataframe, write the dataframe’s name, and run the cell. DataSpell also opens the Plots tab of the R Tools window if the script renders any visual content. Spyder using this comparison chart. I recently tried using Jupyter via DataSpell and faced the following problem: I cannot preview the full text output of a Jupyter cell if it is larger than ~10 lines. 3 EAP. JetBrains DataSpell of. Datalore is an online computational notebook that created to be a collaborative experience. Dataspell from jetbrains is most promising that I have used. To manage the DataSpell update policy, open Settings Ctrl Alt 0S and select Appearance & Behavior | System Settings | Updates. According to the 2022 State of Data Science survey by Anaconda, SQL is the second most used programming language by data scientists and data analysts after. DataSpell has now extended its Jupyter debugging capabilities to notebooks hosted on remote Jupyter servers. Headers now come with predefined colors by default, but you can customize them. The following types of breakpoints are available in DataSpell: Line breakpoints: suspend the program upon reaching the line of code where the breakpoint was set. To view and edit data of a database object, open Data editor and viewer by double-clicking. DataSpell helps you identify and address potential issues easily. Jupyter Notebook lacks a debugger that can help us easily detect and remove bugs in our code. JetBrains DataSpell is an IDE for data science with intelligent Jupyter notebooks, interactive Python scripts, and lots of other built-in tools. Learn more… Top users在 DataSpell 中使用 Jupyter Notebook 与 WSL 2. . Claim JupyterLab and update features and information. Since R is prone to expressions with many nested parentheses, piping allows one to reason about code from left to. If you ever wondered whether JetBrains has an IDE dedicated to data science, you need to know DataSpell. 1 the debug console is. If the R script involves any JavaScript visualization libraries, the results will be rendered in the Viewer window. The one shown under the Jupyter configuration is the one which will be used for running your notebooks. Note that DataSpell must be running when such changes are made, otherwise they will pass unnoticed. You can also use pip to search for packages by using pip search, which searches through a list of Python packages. Visualize results and share them with others. 0. ipynb -- project_b -- jupyter_notebook_b. To do that, click Jupyter Variables in the lower-right part of the DataSpell window. If you are able to run your program from DataSpell, you will also be able to debug it using the same configuration. Ciara Byrne March 12, 2023. JetBrains DataSpell is an IDE designed for professional data scientists that offer intelligent Jupyter notebooks, smart coding assistance, interactive Python scripts, local and remote. To start working with Jupyter notebooks in DataSpell: Open files in your working space. By default, all output files are stored in the project root directory. Executes this cell and selects a cell below. If needed, save the results. However, in JetBrains DataSpell, I can't find the Run Configurations menu option. Jetbrains DataSpell looks almost awesome, but I'm having an issue with the managed servers that makes it just alright. This debugger. xml`, I can open the project in full-screen. 1 带来了提高 Jupyter Notebook 和 pandas DataFrames 生产力的功能，以及一批用户体验改进。 许多 DataSpell 用户要求能够像其他 JetBrains IDE 一样将他们的工作组织成多个独立的项目，而在这个版本中我们已经实现了这一点！ 通过自动在 Jupyter Notebook 与 Python 脚本之间进行转换、拖DataSpell automatically detects the WSL 2 file system “wsl$”, meaning you can as easily create a workspace from a Linux directory as a Windows one. Open project in. jupyter-notebook. JetBrains DataSpell 是我们专为数据科学家构建的全新 IDE。. We can also see two other files that DataSpell has generated, modules. In Script mode, the beginning of the file is resolved to the context, but any SET. For more information about working with database objects in DataSpell, refer to Database objects. Support for WSL allows you to create WSL-based. csv and True. . You can add directories and projects, as well as Jupyter connections to the workspace. . Y. Press Ctrl + D (macOS) or Shift + F9 (Windows, Linux). Code', 'Statistics. Check IDE updates for. DataSpell helpers are needed to run remotely the packaging tasks, debugger, tests and other DataSpell features. So DataSpell, PyCharm, and DataGrip are all the same from that respect. 1 带来了提高 Jupyter Notebook 和 pandas DataFrames 生产力的功能，以及一批用户体验改进。 许多 DataSpell 用户要求能够像其他 JetBrains IDE 一样将他们的工作组织成多个独立的项目，而在这个版本中我们已经实现了这一点！ 通过自动在 Jupyter Notebook 与 Python. DataSpell combines the i. To access the Jupyter server in the Docker container, we need to open the ports between the host and container by passing in the -p <host_port>:<container_port> flag and argument. JetBrains DataSpell is an IDE for data science with intelligent Jupyter notebooks, interactive Python scripts, and lots of other built-in tools. I've ran the cells at least 100 times without any bug but the problem occurred so suddenly. I have a bunch of Jupyter notebooks in separate folders in DataSpell (2022. In the Settings dialog ( Ctrl Alt 0S ), select Plugins. 2, but not since the last updateDataSpell will automatically log you into your JetBrains Account if you're using ToolBox to install JetBrains products and already logged in there. DataSpell 在一个符合人体工学的环境中将 Jupyter Notebook 的交互性与 PyCharm 的智能 Python 和 R 编码. DataSpell integrates the following features of Python 3. pyc or . I have been using the product for a few months, and reporting on bugs to their YouTrack team. ; To accept a suggestion, above the suggestion, click Accept Solution. This is a convenient shortcut for fetching and subsequently applying changes to the selected branch. In the context menu of an attached directory, select. TeamCityPowerful Continuous Integration out of the box. Storing. These contain metadata about how. You see that each row contains data for one month in one specific airport. If you use two-factor authentication for your JetBrains Account, you can specify the generated app password instead of the primary JetBrains Account password. On one hand, JetBrains DataSpell brings a wide range of data science tools together, including notebooks, interactive REPL, dataset and visualization explorer, and Conda support. I even setup two interpreters for each of them, but still. DataSpell will introspect and show them. To view and edit data of a database object, open Data editor and viewer by double-clicking. Developed by JetBrains, known for IDEs like IntelliJ and PyCharm, DataSpell promises to streamline your data science workflow with its impressive features. Then click on the New environment radio button. I covered the use of the IDE for direct connection to and querying of a Database without the need for a separate SQL editor. Go to Git | Commit… , and DataSpell’s Commit tab will be displayed. I'm developing code to analyze data with JetBrains DataSpell, using Python. sudo snap install dataspell --classic Execution You can search for “dataspell” in the search bar if you don’t find use the command below and you can create entrypoint for future. Overall, it's a great IDE and I preferred it to JupyterLab. Compare PyCharm Pro, DataSpell and Datalore. DataSpell provides a lot of typing assistance features, such as automatically adding paired tags and quotes, and detecting CamelHump words. TeamCity Plugins. But maybe that is only me doing something wrong. Intelligent Jupyter notebooks. As you would imagine, this means it is the most. Select Add Local Interpreter. dotCover 2021. On one hand, JetBrains DataSpell brings a wide range of data science tools together, including notebooks, interactive REPL, dataset and visualization explorer, and Conda support. DS and PC have better integration to documentations. Configuring remote Python interpreters via SSH. Deliver high-quality insights. In the meantime, you can still output your data in the interactive console and use DataSpell's native features for deep data analysis and visual exploration. PyCharm vs. 1. . 3, check out our previous EAP blog posts. The fact notebooks aren't handled well by git. Built-in SQL and database support. Welcome! #. I try the normal key combinations and click every. Moves the current cell up. DataSpell is stuck when I open a project that has workspace. Steps into the method to show what happens inside it. JetBrains DataSpell is our new IDE built specifically for professional data scientists. Click the Add Interpreter link next to the list of the available interpreters. But I also want to run Pandas queries on that data frame and have it display the result as a dataframe. Download the installer . Share. It brings Pycharm’s IDE, Jupyter Notebook’s design and flexibility, and Google Colab’s collaboration power in one place. g. Simply double-click on the database, and a new side window will open. Y. If this option is on, DataSpell automatically locates documents that you open in the editor in the current view of this window. Each project is opened in its own window. Visual Studio Code using this comparison chart. JupyterLab is an open source web application, described as “the distribution of standalone cross-platform applications from JupyterLab. You can also copy them between two remote Jupyter instances. Claim Spyder and update features and information. DataSpell helpers are needed to run remotely the packaging tasks, debugger, tests and other DataSpell features. This means that by default this support is disabled and it must be explicitly enabled by the user in Settings. To create a remote interpreter, do one of the following: Click the R interpreter selector in the Status bar and choose On SSH from the menu. Click the Add Interpreter link next to the list of the available interpreters. JetBrains DataSpell is our new IDE built specifically for professional data scientists. DataSpell seems to have a concept of a workspace, but I'm not seeing how to set up multiple workspaces. Hi and welcome to the Early Access Program (EAP) for DataSpell! Our EAP is designed to give our users a first-hand opportunity to try out the new features we are developing for our next stable release. With DataSpell 2022. JetBrains DataSpell is an IDE designed for professional data scientists that offer intelligent Jupyter notebooks, smart coding assistance, interactive Python scripts, local and remote. Project settings are stored with each specific project as a set of xml files under the . Locate the line that says #c. #Demohub. Storing. DataSpell also provides code completion, variable explorers, a debugger, and SQL support. Enhanced DataFrame interactivity. 0. JetBrains DataSpell relies on the Python interpreter and offers support with Conda, Markdown, and the R language. DataSpell displays the contents of pandas DataFrames in tabular form. Click the and select Add remote. Merging diverged notebooks is now straightforward with the visual merge tool, as DataSpell 2022. I would like to interact with these kernels using a local-based client such as Jupyter Lab, Jupyter Console, or. In addition to that, DataSpell has Markdown supports, which means your script will still have that “notebook style” with h1, h2, h3 headlines, plain text, numbered lists, bullet points, and. everything works. If this checkbox is selected, DataSpell retains indents on empty lines as if they contained some code. 我们荣幸地宣布，我们的全新数据科学 IDE DataSpell 已正式 发布 ！. Spyder is used when we want to develop a code that is useful and able to explore proper documentation of the code that has been written. dev #ModernDataStack #FruTech. Compare JetBrains DataSpell vs. It was launched in November 2021 with the goal to offer anyone involved in exploratory data. Otherwise, specify the. Local scopes are stored in the IDE configuration directory, that is why they are not shared through VCS and are not available to other. Conda is the recommended option, as it has Jupyter and data science libraries. By default, DataSpell recognizes any file with the . JetBrains Datalore vs. Ctrl Alt 0S. To change the font size of editor: File -> Settings -> Editor -> Font (change font) -> Apply / OK. After you restart DataSpell, it will use the new location of the corresponding directory. Existing Templates: use this option to see the list of existing templates. idea/workspace. DataSpell combines the interactivity of Jupyter notebooks with the intelligent Python and R coding assistance of PyCharm in one ergonomic environment. It means that you need to install corresponding plugins to have VCS in DataGrip. Otherwise, you need to double-click a directory to open it or use the icon next to the directory's name. DataSpell. Storing. DataSpell collapses or expands the current fragment and all its subordinate regions within that fragment. The one shown under the Jupyter configuration is the one which will be used for running your notebooks. g. Currently I use DataViz and was wondering if there was something similar, one with a nice wizard, convenient table filtering, and schemas, but with Git integration and allows for you to work in other coding languages like Python too. Click the Add Interpreter link next to the list of the available interpreters. You need to have Jupyter Notebook, the environment can be set up by using DataCamp's tutorial: Jupyter Notebook Tutorial: The Definitive Guide. jupyter was also installed in one of my default Ubuntu python environments, and DataSpell was spinning up a server using that binary instead of the one installed in the environment I'd created in DataSpell. Use this option when you are not sure the method is returning a correct result. Reopen projects on startup. DataSpell. JetBrains DataSpell is an IDE designed with data science in mind. Interactive debug console. py file in your DataSpell workspace. However, you can generate an offline activation code that will be valid. It comes with tools for debugging and virtualization, a dataset Explorer, a manager of packages, and reliable support for programming. Step 1 − To open Spotlight search, press command (⌘) + Space Bar. DataSpell 2022. Compare price, features, and reviews of the software side-by-side to make the best choice for your business. JetBrains DataSpell is an IDE for data science with intelligent Jupyter notebooks, interactive Python scripts, and lots of other built-in tools. py figures in a variety of contexts. Finally, let’s talk about refactoring. DataSpell now implements the Contents API, allowing you to use non-default Jupyter storage backends like s3contents. 1 displays both the last time a code cell was executed and the execution time (duration) directly below every cell. Jy- for Julia. Pros. Claim Visual Studio Code and update features and information. Keep indents on empty lines. The plugin also supports our new data science IDE – JetBrains DataSpell. Use all of the standard Jupyter shortcuts. airport_data = data[['Airport. In any case, File>New. Copies the selected code cell to the clipboard. Last update 6 months ago. The AI Assistant is available in both Jupyter notebooks and. Open the Installed tab, find the Database Tools and SQL plugin, and select the checkbox next to the plugin name. 涉及数据科学或机器学习任务时，这提供了. This support is not bundled. 15 - Viewing plots. This feature is called Smart step into. But maybe that is only me doing something wrong. Use Jupyter Notebooks and the Interactive Window to start analyzing and visualizing your data in minutes! Power your Python coding experience with IntelliSense support and build, train, and deploy machine learning models to the cloud or the edge with Azure Machine Learning service. JetBrains Datalore. License activation. iml. r. I hadn’t heard of DataSpell, that seems new. The Early Access Program (EAP) for DataSpell 2023. Select the Projects option in the left pane of DataSpell’s Welcome screen to see the list of existing projects, open these projects, or create a new project. If needed, select Custom from the list of the output directories on the R Markdown toolbar and specify an alternative location for the output files. 3. 2 is now open! The EAP gives you access to pre-release versions of DataSpell, allowing you to evaluate new features, test issues that have been resolved, and provide feedback. g. In this field, specify the number of spaces to be inserted between the elements of an array, in expressions, method declarations, and method calls. Many DataSpell users requested the ability to organize their work into multiple projects with completely separate environments and in DataSpell 2023. Delayed', 'Statistics. Files created in your local workspace are automatically synced with a directory in the remote machine, and can then be executed using that machine’s resources. JetBrains DataSpell in 2023 by cost, reviews, features, integrations, deployment, target market, support options, trial offers, training options, years in business, region, and more using the chart below. Jupyter Notebook vs. DataSpell combines the interactivity of Jupyter notebooks with the intelligent Python and R coding assistance of PyCharm in one ergonomic environment. Hex. 1. <iframe src="height="0" width="0" style="display:none;visibility:hidden"></iframe>DataSpell allows you to review changes made to files or even fragments of source code. Add and edit source cells. Also, all the Python library sources are collected from the Python paths on a remote host and copied locally along with the generated skeletons. You can configure project settings on the two possible levels:Spyder includes most of the "standard IDE" features you can expect, such as a strong syntax code editor, Python code rendering, and an integrated text browser. DataSpell will automatically add project-specific context to your request, such as the languages and technologies used in your project. Please. Expand and collapse directories in the Workspace tool window by clicking them once. When DataSpell launches a local WSL-based Jupyter server it makes certain assumptions about how the connection should work, it also uses the LAN address for your WSL instance to attempt to connect. For notebooks, my experience is equally bad for vs code and data spell. Shift Enter: Runs the current cell and selects the cell below it. To install a specific version, click and select Available versions. Note: Then after that select Managed: from the top left menu to choose Jupyter server automatically and start it automatically. The URL that DataSpell will use to connect to the database. DataSpell solved all that for me. Press the OK button and then the OK. Would appreciate any help with this :). It's not using the conda python exe. DataSpell ist eine JetBrains-IDE, die für Datenanalysen optimiert ist. 3 EAP. DataSpell creates an HTML file with the same name as the . Press Ctrl + D (macOS) or Shift + F9 (Windows, Linux). For all of these reasons, data scientists will undoubtedly give DataSpell a try once it is officially. Click to copy the generated plot in the clipboard. 3, you are now able to set up a remote Python interpreter via SSH, allowing you to develop in the cloud from the comfort of your IDE. r. If you look in there you will find a bunch of files sharing the names of the . Also, PyCharm offers the possibility to step through your code visually. In response to numerous requests, we have integrated the Kafka Schema Registry connection into the Big Data Tools plugin 2023. 12: What’s New in the World of Python? Python 3. Introducing SQL Cells and Graphical Representation of Column Data. This applies both to plots that are created through the debugged code, and plot. This answer set me on the right track. Z version all Z releases are included. DataSpell uses the default environment to run Jupyter notebooks and Python scripts. It is dedicated to specific tasks for exploratory data analysis and prototyping ML (machine learning) models. You can view the structure of your databases and perform other tasks in the database explorer . All you need is a JetBrains account. There are also additional options for viewing DataFrames, including transposing them and. Learn more… Top usersJetBrains DataSpell is an IDE for data science with intelligent Jupyter notebooks, interactive Python scripts, and lots of other built-in tools. In the dialog that opens, click Enable when you first launch DataSpell. Next, the skeletons for binary libraries are generated and copied locally. DataSpell is covered by a perpetual fallback license, which allows you to use a specific version of software without an active subscription for it. Next, the skeletons for binary libraries are generated and copied locally. Step 3: Complete your purchase of DataSpell with your 100% off discount. This is known as the IDE for data scientists. Datalore 在线 在 Datalore 中，所有计算都在云端执行. This section provides an overview of basic. If the checkbox is cleared, DataSpell deletes the tab. Code With Me makes collaborative development and code sharing online easy, efficient, and secure. Spyder, your choice depends on how you intend to use Python. For instance, Jupyter’s features are more suited to data. Configure DataSpell. Code With Me subscription: Choose the best plan for you and your team. Flights. Expanding the Unversioned Files directory, we can see our notebook displayed with a checkbox next to it. This means that when a reviewer is looking at code in Upsource they can see red or yellow warnings if the automated inspections find problems in the code. Compare JetBrains DataSpell vs. Jupyter Notebook). Test Connection. JetBrains' latest integrated development environment (IDE) -- DataSpell -- targets the needs of the expanding ranks of data scientists in business, as opposed to other categories of professional who work with computer code. In merge. e. To browse large DataFrame tables more comfortably, set the default number of rows. Jupyter Notebook and PyCharm have distinct features, which make each of these data science tools better for specific applications. We understand how vital it is for data professionals to have access to. JetBrains DataSpell extends the IntelliJ Platform and PyCharm capabil. Introducing SQL Cells and Graphical Representation of Column Data. In DataSpell, scopes are used in code inspections, some refactorings, search, in copyright settings, in various features for code analysis, and so on. I created a Python environment for using inside DataSpell with Anaconda and set it as working environment inside DataSpel. Developer Tools for Your Business. This release makes data exploration easier than ever, and the new UI enhances productivity and personalization. 3, dotMemory 2021. According to The State of the Octoverse report put out by GitHub based on data from users of its site, Dart — a client-optimized language developed by Google for mobile, desktop, backend, and web…DataSpell allows you to edit the commits history in the current branch before you apply the changes to a different branch. In the Existing Templates dialog, select one of the pre-defined or custom templates. I've configured both the workspace and the project to use pymc3_env. Learn DataSpell. #Demohub. Also, all the Python library sources are collected from the Python paths on a remote host and copied locally along with the generated skeletons. Normally, DataSpell will detect conda installation. You can later configure separate environments for specific projects or directories. Connecting to databases and running SQL queries is a breeze with Dataspell. I run DataSpell on a macOS device and when I open a notebook from a local directory that I have in workspace, over the notebook there is the message. Like you think of JetBrains products, its IDE features a chic appearance and an ample editing space. The following actions depend on whether you want to create a new Poetry environment. The default Jupyter config assumes a local connection, so DataSpell's connection via an external IP address is rejected immediately. DataSpell 2023. VIM plugin is better for DS and PC. In DataSpell, all operations with branches are performed in the Git Branches popup. Click on the Make available to all projects checkbox if you want to use this environment for other projects. Having a bullet-proof solution like VSCode is wonderful, but sometimes you want a specialized solution. . In the left-hand pane of the Add Python Interpreter dialog, select Conda Environment. This library solves this by downsampling (aggregating) the data respective to the view and. The Toolbox App is the easiest way to. Every time you install a new major version of DataSpell, it uses a new set of IDE directories and automatically deletes the caches and logs directories for older versions of the IDE that have not been updated in the last 180. everything works. io #TechWithFru #SnowflakeFru #dataarchitect =====. DataSpell. 3 brings dbt® support, JetBrains AI Assistant actions via the context menu in Jupyter, and easy access to column statistics and data distribution histograms in tables. It supports PostgreSQL, MySQL, SQL Server, Oracle, MongoDB, and many other databases and DDL data sources. Create machine learning and deep learning models. I couldn't imagine going back to programming without PyCharm's local history feature and debugger. The screen reader support can also be activated later or manually for already installed and configured versions of DataSpell. DataSpell uses data extractors to export data in various formats to a file or the clipboard. To display a figure using the renderers framework, you call the . Adding in-cell break points seems like a really valuable feature. Jupyter is not installed. To catch up on all of the new features in DataSpell 2023. iopub data rate limit = 1000000′ in a text editor. DataSpell is a proprietary IDE developed by JetBrains and was launched recently. vmoptions. Highest Rating. It was announced in March and until now has been available under a private Early Access Program (EAP). When executing one cell at a. Additionally, DataSpell supports R, and the JetBrains team is working to improve their support for the R language and support for other data science-related languages, such as Julia. DataSpell 2023. It was very disaapointing to see that one of the support staff (Polina Popova) deflects. DataSpell is an IDE with Jupyter, Python, SQL, and low-code data analysis features. Enabling or disabling GitHub Copilot Chat at the organization level. DataSpell is on the pricier side of things but provides many premium features if you are looking for a strong data science IDE. JetBrains DataSpell is an IDE for data science with intelligent Jupyter notebooks, interactive Python scripts, and lots of other built-in tools. 3). py I import myfunct. DataSpell already had great SQL support through the bundled Database Tools and SQL plugin powered by DataGrip. Jupyter Notebook의 대화형 기능과 PyCharm에서 제공하는 Python 및 R에 대한 지능적인 코딩 지원 기능을 하나의 인체공학적DataSpell ist eine IDE mit Datenanalysefunktionen für Jupyter, Python, SQL und die Low-Code-Entwicklung. 我们荣幸地宣布，我们的全新数据科学 IDE DataSpell 已正式发布！ DataSpell 是 JetBrains 的新 IDE，专为参与探索性数据分析和 ML 模型原型设计的人员而设计。 DataSpell 在一个符合人体工学的环境中将 Jupyter Notebook 的交互性与 PyCharm 的智能 Python 和 R 编码辅助相结合。In merge. TensorBoard is a tool for providing the measurements and visualizations needed during the machine learning workflow. You can do all of your data science work within VS Code. What is the correct way to make this work? Can I configure the working directory in DataSpell, or add share manually to the PATH somewhere? PS: In DataSpell, the current working directry is "project_a" in the above scenario. Now there is a data variable that points to a pandas DataFrame structure: To view the data as a table in a separate tab, click the View as DataFrame link. SQL cells. It combines the interactivity of Jupyter Noteboo. Jetbrains DataSpell Tutorial | Complete Overview + DataSpell Jupyter: In this video, we will talk about how to work with Jetbrains DataSpell IDE (which is on. Create glitchless games, build & emulate your setups, and track everything in one place. From there, you can easily click on any table of interest to explore it in a separate tab: Buy DataSpell: Get JetBrains Toolbox subscription for an Organization, for Individual Use or view Special Offers. DataSpell is an IDE with Jupyter, Python, SQL, and low-code data analysis features. If you select a data source as a target, DataSpell displays a schema in which the script will be run. JetBrains DataSpell 是我们专为数据科学家构建的全新 IDE。 从 3 月宣布至今，它一直在专属抢先体验计划 (EAP) 下提供。 在我们邀请所有用户之前，我们目前只邀请了有限数量的用户来帮助我们打磨完善这款全新的 IDE。 今天，我们十分高兴地宣布将向公众开放 EAP。Configure pipenv for an existing Python project. JetBrains s. So take it with a grain of salt. 2, you can configure and use Python virtual environments inside the WSL. Do one of the following: Press Ctrl Alt 0S to open Settings and go to Project: workspace | Python Interpreter. Open the Installed tab, find the Database Tools and SQL plugin, and select the checkbox next to the plugin name. File -> Settings -> Appearance & Behavior -> Appearance -> Use custom font (change font) -> Apply / OK. Run code cells. Notice the path. Animations using Matplotlib#. To write and run queries, open the default query console by clicking the data source and pressing F4. Share. With this latest update, you can explore Kafka topics serialized in Avro or Protobuf directly. 3. Pycharm's interpreter setting will drop/reset to empty ever 1~3 minutes as MyMileStoneCard we speak. In the context menu of an attached directory, select Interpreter. You can look up all the Jupyter notebook keyboard commands by. The Show History and the Show History for Selection commands are available from the main Git > Current File menu and from the context menu of files. I have more than one project that I'm working on & I would like to have separate setups for each of them. Debugger. 1. To write and run queries, open the default query console by clicking the data source and pressing F4. If you see the problem again, please go to the main menu Help | Show Log in Finder, zip the.