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Python Tools for Visual Studio
Python Tools for Visual Studio

Python Tools for Visual Studio: Leverage the power of the Visual Studio IDE to develop better and more efficient Python projects.

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Python Tools for Visual Studio

Chapter 2. Python Tools in Visual Studio

Now that we have our tools up and running, we can start to take a deeper look into one of the most important features of PTVS: the intelligent code completion feature or IntelliSense of Visual Studio.

In this chapter, we will dig deeper into the automatic syntax and hierarchic analysis tools of Visual Studio that we can use with Python. Essentially, these are IntelliSense and navigation tools, which are really helpful for a Python developer during the coding process.

Furthermore, we will see how to maximize the capabilities of Visual Studio in conjunction with the inner REPL tool for quick and useful code testing and debugging.

Mastering IntelliSense with Python


As shown in the Python Environments tab, Visual Studio analyzes the Python code that is available in the current solution and the installed libraries to populate the internal database. By doing so, we are able to gain a better understanding of the available classes, methods, and field descriptions. This is done in a way that can help the developer speed up the coding process.

The IntelliSense context-aware code completion feature can be recalled in line using the Ctrl + Space bar or Ctrl + J shortcuts. The Ctrl + J shortcut displays the list even when there's only one possibility. This is what happens when you call it in the middle of a command:

IntelliSense shows all the available methods, classes, and fields available in the current code, ordered in alphabetical order. Besides showing them from the list of available commands, it also provides you with a quick documentation. In our example, for the range method, IntelliSense shows the list of its overloaded...

Using REPL in Visual Studio


In this section, we will explore the usage of the standard read–eval–print loop (REPL) tool for Python inside Visual Studio. As mentioned in the introduction, PTVS has an enhanced version of REPL. Besides the standard Python commands in the REPL version of PTVS—the Interactive Python window—there are some added commands and functionalities that can help speed up the debugging process and also enable simple testing of your code.

The enhanced commands are shown by typing $help in REPL, as shown in the following screenshot:

We'll go into detail on the most used and interesting commands. The $cls command cleans up the command line, while the $reset command cleans up the engine in a way that you can restart with a clean REPL environment.

The most interesting functions are $load and $mod. The $load command permits you to execute the content of a given Python file inside REPL:

An example of the $load function in the REPL tool

These functions are useful as they provide an...

Navigating code with ease


Visual Studio provides lots of features to speed up the process of code navigation; at the same time, these features allow Visual Studio to have a streamlined coding process with a more holistic view of the project. This is particularly useful when you need to switch to a module to see the actual implementation or to update some parts of it, even when it is located somewhere else in the project. Some of the most important features for code navigation are reachable from the context menu in the coding panel:

As shown in the preceding screenshot, when the cursor is over a method and the contextual menu is opened, the command Go To Definition can be found. The Go To Definition command moves the view to the implemented code of the method inside the referenced module.

Another useful debugging function is the Find All References command (the Shift + F12 shortcut). It shows all the points inside the project where the method is used:

The result of the execution of the Find...

Object Browser


Another way to have a high-level clear view of the project and the elements that compose it is to use the Object Browser tool. This tool gives you a more hierarchal view of the entire project. There are two different ways to access the view; let's take a look at both of them.

The first way is to open the full version of the Object Browser tool, which is accessible from the VIEW menu through the main toolbar, or by using the Alt + Ctrl + J shortcut.

Using the shortcut will open a new tab in the code editor window, which will present us with the following view:

The Object Browser tool is a three-pane window. The top-left pane shows a list of all the Python files that compose the project. The top-right pane shows a list of elements that compose the selected file (methods, fields, and so on). The bottom pane shows the element footprint and related documentation (if available) of the selected element.

Any of the elements in the Object Browser tool are clickable. A double-click will...

Summary


In this chapter, we introduced a wide range of usage of IntelliSense with Python, including working with classes between project files with simple importing and referencing capabilities. We also learned how to use REPL for a more streamlined debugging and testing process.

Now you are familiarized with the different code navigation functionalities that can help you find code references using filtering as well as tabs. Combined with the Object Browser tool, you are able to view your Python project with a high-level view of all methods, classes, fields, elements, related documents, and so on.

In the next chapter, we will dive into the day-to-day coding tools to guide you through the whole programming lifecycle.

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What you will learn

  • Gain valuable insights on how to use IntelliSense with Python
  • Discover how to navigate code and objects with relative ease in REPL and code panel tools
  • Configure a set up for Django development and library management
  • Familiarize yourself with hosting a Django app on Azure
  • Learn all about project handling and the debugging process with PTVS
  • Understand about various project types in PTVS with basic examples
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Publication date : Apr 21, 2014
Length: 122 pages
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ISBN-13 : 9781783288687
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Table of Contents

6 Chapters
Introduction to PTVS Chevron down icon Chevron up icon
Python Tools in Visual Studio Chevron down icon Chevron up icon
Day-to-day Coding Tools Chevron down icon Chevron up icon
Django in PTVS Chevron down icon Chevron up icon
Advanced Django in PTVS Chevron down icon Chevron up icon
IPython and IronPython in PTVS Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.8
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4 star 25%
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1 star 25%
Gerald Howell Dec 19, 2017
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Very well written and presented!
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Olufemi Adegbite Apr 09, 2015
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Very good book
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Eric Chou Jul 27, 2014
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
I think it is without saying, geared toward Python scripter/coder who works on Windows platform who wishes to know more about Visual Studio as their Python IDE.This is a short read at 122 pages with lots of screenshots. This book offers some neat tips and tricks, (I feel) mainly for people who are beginners on the Visual Studio IDE. If you are an experienced Visual Studio user, you might want to just pick up the relevant Python-specific pieces online. There are two chapters on Django, I personally just skimmed thru them since I don't do much Django development. PTVS is moving fairly fast, now they support both Bottle and Flask, so the experience might transfer well. Personally, I wish there were more coverage on running Python code in a .NET environment as well as running .NET code in Python.
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Not much content. Far to little for the price
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