Beginner's Guide to Python: Get a head start on future employment opportunities! Python self-study book resources are shared without reservation－AI4kids

Due to the popularity of artificial intelligence and IoT big data analysis, Python has undoubtedly become a popular programming language. Next, we will disassemble what Python is step by step? How can it be used? What are the advantages of learning Python? How will it help in future employment? Finally, we will generously provide the Python self-study resources we provide, including books, online courses, programming learning games, as well as online communities and YouTube video recommendations.

What is Python? What can be done?

Python is a widely used, powerful, and comprehensive programming language. It is a general-purpose programming language. The code itself is highly readable and its syntax is close to English. Anyone with elementary or intermediate English skills can write code. In addition, compared to other programming languages, such as C or Java, Python commands are written more concisely and can achieve the same results with fewer codes. In addition to making the program structure clearer, for learners, Python has a low learning threshold and is easier to understand the logic.

At the same time, Python has become the first choice for entry-level programming languages ​​in recent years because of its simplicity , powerful functions and wide application ! However, after most people have learned the syntax and basic functions of this language, they don’t know what Python can do and how to apply it? In fact, from website development, web crawlers to big data analysis, machine deep learning, etc., Python's application in the real world has unlimited possibilities.

Why learn Python? Five major advantages for you to know!

The grammar is simple and easy to understand the grammatical meaning

Since Python has a simple syntax and is written in a similar way to English, you can intuitively understand the logic you want to express when reading the program code, so it is easier to write and debug. Even if there is only one sentence, the program can be executed, and there is no need to add additional program entry points to execute like other programming languages!

For example, if you want the computer to display "Hello World!", you only need to write one line of Python code; but to get the same result, you need to enter several more lines of C language or Java and write down the execution points before it can be displayed.

Python : print("Hello World!")

C ：

#include <stdio.h>

int main() {

printf("Hello World!");

}

Java :

public class Main {

public static void main(String[] args) {

System.out.println("Hello World!");

}

}

Powerful functions and rich resources

Python has a rich library that other developers can use easily. Functions can be created with only short code, which greatly reduces development time and effort. This is mainly because after 30 years of development, Python has a strong and mature community that can support and develop a large number of libraries and frameworks; in addition, it also provides a large number of documents and teaching videos, so that learners and developers of different levels can easily obtain the required knowledge.

Cross-platform: One program has multiple functions and can be used in multiple environments

Since Python is an interpreted programming language, its development speed is faster than other programming languages. Therefore, Python can be used in almost all types of environments, regardless of the platform used, and there is basically no problem of performance loss. Its versatility also allows it to be used in different environments, such as apps, computer software programs, web system development, hardware programs, etc.

Widely used: a good helper for data processing and analysis

As we all know, the Internet of Things and big data are the most popular trends at present. Undoubtedly, Python has become the most popular tool for data science and data analysis. Currently, many companies use Python for data processing and analysis. In addition, machine learning and module training are also in relatively high demand. For example, Apple's Siri and Amazon's Alexa are the results of deep learning through AI voice modules.

High future demand: highly developable

As mentioned above, with the prevalence of AI, many industries and jobs will gradually be integrated in the future, using automation to optimize company operating processes, data analysis, etc. The voice training model used by Siri and the image recognition training model used by Google Lens are all part of AI machine learning and algorithms. Of course, these are also mainly developed in Python. It is conceivable that there will be more job opportunities in this field in the future!

Is learning Python practical for future employment? What kind of work can be done?

Although Python has infinite possibilities in reality, I believe everyone must be more concerned about: Will learning Python help me in the future? What job opportunities can I have?

Automated Operation and Maintenance

For example, web crawlers, fixed-mode or step processing, and content updates are all part of automated operation and maintenance. They mainly perform different aspects of automated operations based on the needs of each business owner, and operation and maintenance engineers mainly ensure the stable execution of the enterprise system and the security and reliability of data.

Data Management Analyst

Regularly manage statistical data and update algorithms. Usually, data management will produce reports that are easy to understand and interpret by organizing large amounts of data. The position will then analyze and evaluate the results and provide them to the internal demand unit. Simply put, it helps identify company problems, analyze them and provide suggestions.

Game/System Programmer

Compared with PHP, a programming language that is specifically used to develop dynamic web sites or web applications, Python is more suitable for rapid application development (App) based on game level settings or system function requirements.

《Extended reading: Understand what AI artificial intelligence is in three minutes? Development trends, applications in various fields and occupations 》

How to learn Python well? Sharing Python introductory learning resources

There are many channels and resources for self-learning Python. Basically, I will share five ways today: books, online courses, learning through games, website community resources, and Youtube channels. The following are recommended for beginners. No matter which method you choose, just choose one that you can read and continue to practice. We believe that it will greatly improve your programming skills!

Youtube channel recommendation

• AI4kids ( https://www.youtube.com/@AI4kids )

• GrandmaCan - My grandma can do it ( https://www.youtube.com/@GrandmaCan )

• Peng Peng's Course ( https://www.youtube.com/@cwpeng-course )

Online resources

Github

Python - 100 Days from Novice to Master ( https://github.com/jackfrued/Python-100-Days )

Tutorial

• w3school ( https://www.w3schools.com/python/ )
• tutorialspoint ( https://www.tutorialspoint.com/python/index.htm )

Game Learning - Codecombat

Suitable for ages: children over 8 years old, teenagers, and adults. Codecombat focuses on beginners who can just rely on continuous breakthrough games. The website itself is like a hero fighting monsters, searching for treasures, and solving puzzles! Even elementary school students can easily get started. During the levels, they can inadvertently learn the basic syntax, logical structure, setting variables and loops of various programs... The programming languages ​​that can be explored include Python, JavaScript... and other different programming languages. Game-based learning makes learning more interesting! In addition, CodeCombat holds the CodeQuest Global Competition regularly every year, and you will have the opportunity to participate in the competition with outstanding players from all over the world!

→ CodeCombat official trial → Sign up for CodeCombat free trial class

Online Courses (Python Courses)

(1) Introduction to the basics of Python programming language

The course content includes: Python basic syntax, iteration and loop control, function introduction, data processing and data analysis.

- Practical teaching: input and output, comparison operations, if conditional statements, while loops, ist & dictionary, for loops, function functions, etc.

Python Programming Introductory Course→

(2) Python Programming Language Data Science

The course content includes: Python data science, data merging and processing, and data visualization.

- Practical teaching: observing data, describing statistics, combining and processing data, histograms, probability density function graphs, bar graphs, pie charts, scatter plots, etc.

Python for Data Science Course →

Book recommendations (AI textbooks)

Learning AI is easy (Volumes 1 to 6)

From understanding what AI is, machine learning implementation, image recognition, deep learning, natural language processing, data organization and analysis, the Internet of Things to edge computing, a series of six books; let you go from a programming novice who knows nothing to a master who can use Python and AI artificial intelligence applications!

AI Artificial Intelligence Learning Books →

Summarize

Compared with other programming languages, Python is easier to learn and is suitable for children, teenagers, adults, and everyone! In addition to being easy to understand and powerful, Python has also become the most popular programming language because of the many job opportunities it will create due to future trends! However, if you want to become a professional programmer, in addition to learning how to make good use of the Python library, what you really should learn is: how to solve problems . Of course, the road to learning Python is long, and we also provide books, online courses, youtube videos, and online resources to give you more introductory learning resources; if you are interested in learning Python, then start learning now!

AI4kids is dedicated to teaching AI artificial intelligence programming courses. Through comprehensive and systematic online and offline course planning, and taught by the industry's top software engineers and university professors, it brings you first-hand learning and practice, allowing you to be the first to connect with universities and the industry and stay ahead of all your classmates! From basic Python programming language to AI algorithm training, we will guide you step by step to fully utilize all AI skills!

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