Jupyter Notebooks and iPython for Data Science

第一个 IPython/Jupyter Notebook 课程将是一个六个小时的连续教程，已引入该教程以帮助您开始使用 Jupyter-iPython。在课程的开始，您将简要介绍 IPython 和 Jupyter。我们试图用一些现实生活或实际场景来涵盖每个主题，以使您更好地理解事物。在介绍部分之后，您将了解 Jupyter 和 iPython 的需求和实现。稍后，我们提供了一些最佳示例来向您展示事情是如何工作的。该视频将使您了解 Jupyter 环境，以便您在教育工作者向您展示如何使用此工具时理解事物。

IPython 和 Jupyter 可以共同定义为促进应用程序高效开发的开发环境。iPython 是一个交互式 shell，它可以让不同的语言与之交互，并使编程变得更容易和方便。Jupyter 环境提供了执行高度复杂计算的最佳方式，可用于数据的图形表示等等。它主要用于开发环境中开发企业应用程序。它还提供了预定义的功能，可以帮助在很短的时间内开发程序。虽然它减少了过多的手动编码的负担，但使用起来有点复杂，但它的成果是非常有成效的，它也帮助开发团队节省了大量的时间。

在这个 IPython/Jupyter Notebook 课程中，我们试图涵盖属于 Jupyter 和 iPython 的所有主题。这意味着它欢迎各种观众来提高他们的技能。完成本课程后，您将能够非常有效地使用 Jupyter 环境。您将能够为开发做出贡献，并将学习如何在更短的时间内开发程序。在开发需要高计算能力或需要添加一些复杂功能的复杂应用程序时，您将学习如何使用 python 或如何使用 python。由于 iPython 是由 Python 编程语言开发的，因此您还将有效地接触 Python。您将能够解决需要应用程序来解决的现实问题。

Learn Jupyter Notebook and iPython and its use in cloud computing, deploying graphs and Data Science

Published 10/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 40 lectures (6h 5m) | Size: 1.63 GB

What you’ll learn

In this IPython/Jupyter Notebook Course, we have tried to cover all the topics that fall under Jupyter and iPython
After finishing this course, you will be able to use the Jupyter environment very efficiently.
Learn how to bring python in use when it comes to developing the complex application that demands high computing power or needs some complex functionality
You will be able to solve the real-life problems that need an application for a solution.

Requirements

There are some of the technologies that you should be aware of to learn this Jupyter Notebook Course in the best way. As there is an immense use of python required while working with this tool, you will be supposed to have an idea about the python fundamentals. If you have hands-on experience in python, you will find it very easy to learn this. But in case if you are new to python, it is recommended that you should go through python before jumping to this IPython course. The next important thing is, you should be flexible to learn different tools. It usually happens that once we make ourselves comfortable using one tool, we find it tough to switch to the next. You should be able to be flexible in this can and have to be ready to explore this tool in-depth as every function of this tool has been introduced to help in some way. There are two important things that you should be aware of so that you can find it easy to learn this Jupyter Notebook Course.

Description

The first IPython/Jupyter Notebook Course is going to be a six hours continuous tutorial that has been introduced to help you in getting started with Jupyter-iPython. At the beginning, of the course, you will get a brief introduction to IPython and Jupyter. We have tried to cover every topic with some real-life or actual scenarios to make you understand things much better. After the introduction part, you will be learning about the requirement and implementation of Jupyter and iPython. Later on, we have included some best examples to show you how things work. The video will make you aware of the Jupyter environment so that you can understand things when the educator will show you how to work on this tool. We have captured the screen and shown things practically just to ensure that you are getting an in-depth idea about the tool as you will be supposed to be familiar with this tool by the end of this unit.

IPython and Jupyter collectively can be defined as the development environment that facilitates the efficient development of the application. The iPython is an interactive shell that lets the different languages interact with it and make the programming a bit easier and convenient. The Jupyter environment provides the best way to perform highly complex computations, can be used for graphical representation of data, and much more. It is mainly used in the development environment to develop an enterprise application. It also provides pre-defined functionalities that can help the program to be developed in a very short period. Though it reduces the load of too much manual coding, it is a bit complex to use but its outcome is very fruitful and it also helps the development team to save a lot of time. In the currently implemented framework called agile which demands the completion of work in very less time, it can be proved very much useful.

In this IPython/Jupyter Notebook Course, we have tried to cover all the topics that fall under Jupyter and iPython. Which means that it welcomes all kinds of an audience to enhance their skills. After finishing this course, you will be able to use the Jupyter environment very efficiently. You will be able to contribute to the development and will learn how to develop a program in less time. You will be learning how to use python or how to bring python in use when it comes to developing the complex application that demands high computing power or needs some complex functionality to be added to it. As the iPython has been developed by the Python programming language, you will also get an efficient exposure to python. You will be able to solve the real-life problems that need an application for a solution. One will also learn how to deploy this tool in the real work environment so that it could be leveraged to solve problems in the organization.

Who this course is for

This Jupyter Notebook course mainly focuses on working professionals, students, and trainers. There are several IT professional who is either looking to change their stream or to learn deep in their stream. This Jupyter Notebook Course suits them perfectly. The folks who are already working in Python and want to learn about this tool so that they can sever their organization well, can opt for this course. The students who are having studies at an advanced level and need something to deliver can choose this Jupyter Notebook Course to improve their development approach. It will not only enhance their skills but will also keep them on highlight when it comes to the list of best developers. The trainer can also choose this Jupyter Notebook Course to enlarge the domain of their training. It will help them attract more trannies who are looking to get trained in this tool.