的PYTHON程序 英语是什么意思 - 英语翻译

• python program
• python programs
• python applications

在 中文 中使用 的python程序 的示例及其翻译为 英语

一旦你开始编写大型的Python程序，IDE确实很有用。
Once you start writing large Python programs, IDEs can be very useful indeed.

现在我们假设我们的Python程序停止使用这些Node；.
Now let's suppose our Python program stops using the nodes;

Function注释透明地将你的Python程序转换为TensorFlow图形。
Function annotation transparently translates your Python programs into TensorFlow graphs.

下面的Python程序，就是一个求值为类型错误的例子。
The following is an example Python program that results in a type error.

还有其他软件可以运行你的Python程序：.
There are also other software that can run your Python programs:.

下面是一个完整的，可运行的Python程序。
Here is a complete, working Python program.

我们写一个最简单的python程序。
The most simple of Python programs.

您可以使用它来编写执行各种自动FTP作业的Python程序，例如镜像其他FTP服务器。
You can use this to write Python programs that perform a variety of automated FTP jobs, such as mirroring other FTP servers.

跟很多Windows用户一样，他需要把封装得很好的Python程序部署成一个可执行文件。
Like many Windows users, he had the need to deploy shrink-wrapped Python applications as a single executable file.

绝大多数的Python程序不做任何改变即可在所有主流计算机平台上运行。
Most Python programs run unchanged on all major computer platforms.

一个主要的好处就是所有的Python程序看上去都差不多，因为缩进是一种语言的要求而不是一种风格。
One major benefit is that all Python programs look similar, since indentation is a language requirement and not a matter of style.

IndranilGhosh计算这个序列的Python程序，从Maple代码转换.
Indranil Ghosh, Python program for computing this sequence(translated from Maple code).

这六个技巧中的任意一个，都可以帮助你创造更快的Python程序。
Each of the six tips in this article can help you create faster Python applications.

函数式风格的Python程序并不会极端到消除所有I/O或者赋值的程度；.
Python programs written in functional style usually won't go to the extreme of avoiding all I/O or all assignments;

你将会在几乎所有你撰写的Python程序中使用字符串，所以对下面的部分你要多上点心。
You will be using strings in almost every Python program that you write, so pay attention to the following part.

绝大数的Python程序不做任何的改变即可在所有主流计算机平台上运行。
Most Python programs run unchanged on all major computer platforms.

你将会在几乎所有你撰写的Python程序中使用字符串，所以对下面的部分你要多上点心。
I can almost guarantee that you will be using strings in almost every Python program that you write, so pay attention to the following part.

随着时间的推移，你的Python程序中被长时间使用的对象会被从零世代转移至一世代。
Over time, objects that your Python program continues to use for a long time are migrated from the Generation Zero list to Generation One.

本课程不仅能让您了解代码,还能让您创建和运行真实的Python程序。
This course will not only give you an understanding of the code, but will enable you to create and run real world Python programs too.

你将会在几乎所有你撰写的Python程序中使用字符串，所以对下面的部分你要多上点心。
You will be using strings in almost every Python program that you write, so pay attention.

通过它，你将学到如何写能处理大量非结构化文本的Python程序。
With it, you will learn how to write Python programs that work with large collections of unstructured text.

如果你试图修复一个内存泄漏的Python程序，TimPerter的Cyclops模块也许也有用。
If you are trying to fix a memory leaking Python program, Tim Peter's Cyclops module may also be useful.

无需多言，它们都是最强大的编辑器之一，用它们来编写你的Python程序自是受益颇多。
Needless to say, these are two of the most powerful editors and you will benefit from using them to write your Python programs.

下面的Python程序显示了如何在上面创建的COMPANY表中创建记录：.
Following Python program shows how to create records in the SCHOOL table created above.

CherryPy是一种python，面向对象web框架，它使开发人员能够构建web应用程序，就像构建任何其他OO的Python程序的方式一样。
CherryPy is a Python library for web development that allows developers to build web applications in the same way as any other object-oriented Python program.

Python提供了两个非常重要的功能，以处理任何意外错误在你的Python程序，并在它们上面添加了调试功能-.
Python supplies 2 extremely important functions to manage any unanticipated error in your Python programs and to include debugging abilities in them.

它基于许多数据科学家正在使用的经典机器学习管道构建：使用Numpy、panda和scikit-learn编写的Python程序。
It builds on the classical machine learning pipeline many data scientists are using: Python programs made with Numpy, pandas, and scikit-learn.

Python提供了两个非常重要的功能，以处理任何意外错误在你的Python程序，并在它们上面添加了调试功能-.
Python provides two very important features to handle any unexpected error in your Python programs and to add debugging capabilities in them:.