Introduction to Pandas 01. Course Introduction Explains how to use Python libraries for Excel and CSV operations, data analysis, graphing, etc. for beginners [For programming beginners]

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キノコード / プログラミング学習チャンネル

Published on May 17, 2020
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Introducing a programming learning service created by Kinocode / Kinoquest is the best place to learn Python, where you can immediately output the knowledge you have learned and feel that your skills have been firmly established! ・There are more than 350 questions ・No need to set up an environment! ・There is a curriculum so you won't get lost in how to study ▼ Register here ▼ https://kino-code.com/kq_service_a/?u... ーーーIn this video, we will explain the introductory course to Pandas. We will start by explaining, "What is Pandas?" The table of contents is as follows. ▼ Table of contents 00:00 Introduction 00:04 What is Pandas? 00:47 What you can do with Pandas 01:23 Who should study the Pandas beginner's course and why 02:41 Data handled in the Pandas beginner's course ▼ Transcription Hello. This is Kinocode. Have you ever heard that you can use Python to operate Excel and CSV, analyze data, create graphs, etc.? However, as anyone who has studied the basics of Python will understand, you cannot do these things just by studying the basics of Python. So how can you operate Excel and CSV and perform data analysis? The answer is Pandas. Pandas is a Python library that provides functions to support data analysis. What is a library? A library is a collection of commonly used functions and functions that are easy to use. For example, Pandas contains functions that are often used in data analysis, such as functions for reading CSV files, importing Excel data, and graphing data. In other words, if you can use Pandas, you will be able to operate and graph Excel and CSV with Python. In addition, artificial intelligence, which has been a hot topic in recent years, is often made with Python, and if you can use Pandas, you will be able to "aggregate and process data," which is important in the development of artificial intelligence. Therefore, this introductory Pandas course is perfect for those who want to learn artificial intelligence techniques such as Excel and CSV operations, graphing, and data aggregation and processing with Python. I also think it's good for those who have studied the basics of Python but don't know what to study next. Because I think the quickest way to improve your programming skills is to create something that works and can be used. It's quite difficult to create this output with Python alone. But if you learn Pandas, you'll be able to create something that can actually be used. Therefore, if you learn Python and Pandas, you can create something that can be used at work. In Python, you can finish the work just by running the program. In other words, it is possible to make work efficiency overwhelmingly. Evaluation at work is either achieving results or improving work efficiency. If you can improve work efficiency and automate it, your evaluation at the company will also increase. It is also recommended for non-programmers who have never studied programming. The data used in the Pandas introductory course is "Data on national population trends from 1920 to 2015" released by the government, and the lessons will proceed using these data. Using these data, we will explain the basics of operations that are commonly used in Pandas. Since we use real data, even non-programmers will be able to easily imagine how to use it at work. Therefore, if you want to acquire programming skills in addition to Excel, if you want to learn programming to advance your career, if you want to automate large amounts of data that cannot be done in Excel and make your work more efficient, the Pandas introductory course is also recommended for such non-programmers. In the Pandas introductory course, we have tried to provide careful explanations so that even beginners in programming can understand. In addition, we have cut out unnecessary parts by editing so that you can watch it without stress. In addition, to make it easier to review, we have transcribed the contents of the video as they are and made them into articles on the website, and the source code of the programs used in the lessons is also available for free on the website. Please make use of these and stay with us until the end of the lesson. In addition, this channel delivers Python and Pandas lesson videos, as well as other videos on using Python to improve business efficiency and complete automation. Please subscribe to the channel so that you will be notified when new videos are updated and so that you do not lose track of where the videos are when you review them. Now, the lesson will start from the next video. Let's get started! ▼Transcription blog https://kino-code.com/pandas_course_i... ▼Self-introductionCurrent: Freelance (marketing-related artificial intelligence development, data analysis, business automation, etc.) Previous job: Recruit * Changed jobs 5 times. After failing the bar exam, I have experience increasing my annual income from 2.4 million yen to 7.5 million yen as a non-regular employee. ▼Twitter / likes ▼Facebook / %e3%82%ad%e3%83%8e%e3%82%b3%e3%83%bc%e3%83... #Pandas #Python #Introduction to programming ▼Business inquiries Kinocode currently only accepts development and consulting work for business automation. Please contact us via the contact information, Twitter DM, or the email address listed on the "Kinocode homepage → Overview".

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