Find out how to learn Python from scratch and how to learn it

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Learn the Python Basics Tutorial

Learn Python Core Programming

Learn the Python Dictionary

That's basically it, after reading them one by one, you have the foundation of python.

As the first language and the language used for data analysis, Python programming language has become the hottest language in the modern talent market. The following Beijing computer training is for you to introduce in detail.

1. Pay attention to details.

An important criterion that distinguishes a good programmer from a normal programmer is attention to detail. In fact, this is also the standard that distinguishes all industries. If you don't pay enough attention to all the tiny details of your work, your work will become inadequate.

Beijing IT Training believes that as long as attention is paid to the details, the program can be kept away from many errors and difficult systems.

Second, the discovery is different.

A programmer's long years of work can develop an important skill, the ability to distinguish between different points. An experienced programmer can see only minor differences between the 2 programs and can clearly point out the differences. In addition, Changping IT training found that the program can be made very easy and boring, and can improve the sensitivity to the handling of the program and other issues.

3. Learn to ask.

There will be an error when you write **, which means that there is a problem and flaw in what you wrote. But a lot of bugs will be hidden in places you don't know, and you have to try your best to find it. If you just keep staring at the computer screen, this will not solve the problem, so Changping computer training suggests that you can solve the problem by asking for help from others and looking up information.

4. Don't copy and paste.

You have to manually enter the ** for each item, and it doesn't make sense to copy if you use paste. Completing a project is a good way to exercise your hands-on ability and brain's thinking ability, and equip you with the ability to read, write, and observe. Computer training believes that if you use the paste-and-copy method, it will greatly reduce the effectiveness of the practice**.

The first thing to learn technology is to find a set of curriculum system that is next to the system, according to the systematic curriculum system little by little planned and planned learning, not a technical point in the east, a technical point in the west, such a learning system, in the end, the rougher the more poor learning.

Beginners can learn Python by following these steps:

1.Knock ** step by step.

In the python learning tutorial, when talking about the corresponding grammar rules, there must be corresponding cases, python novices should knock it out step by step, remember not to copy directly, but to shout spring hail silently, and then compare, find errors in time, and correct.

2.Stage case practice.

For the formal python learning tutorial, a phased homework assessment will be arranged, also known as a case, a stage of the case is more comprehensive, can objectively examine whether python students can really digest and absorb python knowledge points, and integrate them, through the practical operation of the case, you can check and fill in the gaps in the knowledge points!

3.Large-scale project imitation.

In python learning, large-scale project practice is indispensable, if you participate in training and learning, this is relatively simple, often the course teaching will include this item, python students can write it by themselves first, and then listen to the teacher's explanation, through comparison, find doubts and shortcomings, and then optimize ideas and projects; For students who have not participated in Python training, they can find some large-scale projects on the Internet to practice, watch more, practice and summarize more, so that they can be proficient in Python and form a better Zheng Fan's Python thinking.

For the learning of programming languages such as python, Shoumori must first master the complete and scientific python learning courses, and secondly, we must have perseverance and carefulness, and we will be able to learn python well by watching more, thinking diligently, and practicing more!

1. Programming requires programming languages, and Python is one of the most popular programming languages. Python is a very general-purpose high-level language, it can run on Mac computers on Mac computers, it can run on Windows, and it can also run on the Linux system of Raspberry Pi.

2. Compared with other languages, Python is more concise, it can achieve the same function with much less number of lines than other languages, and Python is more readable, which is easy for beginners to learn and can make you have development capabilities faster.

3. At the same time, the application of python is also very extensive, it has a very rich third-party library, which can be used in almost all fields such as development, big data analysis, artificial intelligence development, and autonomous driving.

Portable programming class, 5 minutes a day, easy to learn python. Follow Python Learning Classroom to start your coding learning journey.

Python, as the most promising computer language, has been sought by many people. If you've already decided to learn or start learning Python, don't give up. First of all, work hard.

Determine your career path for learning Python.

To learn something, you have to think about what to learn? What is the direction of your work? Many people learn python on a whim, and after a few days their enthusiasm is gone.

The main reason is the lack of a clear goal, direction, or unclear direction. If you really want to learn to code well, first think about why you want to learn to code, get a coding job or solve an annoying problem, or build a ** for yourself, write an application or climb data for analysis. The scariest thing is not knowing why you want to study.

What is the career direction of python?

There are many directions in Python programming, including web crawler, data analysis, web development, test development, operation and maintenance development, machine learning, artificial intelligence, quantitative trading, etc. Each track has specific skill requirements. For example, to learn data analysis, you should focus on acquiring knowledge such as statistics, SQL, etc., while to operate and maintain, you should be very familiar with the Linux system, so you should first know the direction you have chosen, and what knowledge to learn in this direction is important.

To learn python, you must do more projects.

Python development can only be focused on, and this is certainly not something that HR departments in large enterprises are eager to achieve. Remember: find more projects, practice harder, and only by doing projects more often will you be able to make more mistakes and solve problems.

The more projects you do, the more confidence you'll be able to negotiate with HR. <>

It is definitely difficult to learn Python systematically from scratch, and the professionalism of Python itself is not simple, so there are several points that must be clear about learning Python from scratch.

1.Clarify what you will do in the future, what skills you need to master, many people don't even know this and blindly learn, you first know what talents the company needs now, what goals you should work towards. There are many directions to learn Python, mainly the web.

2.Systematic learning planning, plan the new knowledge you learn every day and the homework and exercises you do every day, many people want to learn python by themselves, two will be read, so it is surprising to be able to find a job, now learn python and want to find a job, there is no 4-6 months at all, so planning is a must, I recommend half a year.

3.Pay attention to learning methods, many people choose the wrong learning method from the moment they start learning python, so they are destined to give up in the end, return to their original positions and continue to do things they don't like, learning python requires certain skills, ask others more before starting to learn, don't blindly self-learn and waste time.

In short, it is recommended that you participate in systematic training and learning, and the system you want to learn by yourself is not recommended unless your personal ability is much stronger than the average person.

First: Look at introductory books.

Regarding the selection of books, the difficulty level must be at the entry level, and it must not be too complicated. If the books we choose are too complicated, it is easy to disrupt our learning rhythm and affect our enthusiasm for learning. Learning is a step-by-step process, and you can't become a fat person in one bite, so for beginners with zero foundation, it is very important to find an easy-to-understand book to learn.

Second: find a training provider.

For those with 0 foundation, it is much better for us to choose a training institution to learn than to learn by ourselves, and it is very difficult to learn programming knowledge from scratch, so when we choose a training class, we must find the kind of teacher who can teach by hand, and whether the course content is arranged from scratch to teach; If you encounter problems in the learning process, you should communicate with the teacher in time, otherwise you will not be able to catch up with the progress while studying.

As a person who has come over, it is not recommended that you study on your own.

I am also zero-based, changed careers to test development, at the beginning, in order to save money, self-study, bought books, found online courses, studied for two weeks, did not understand anything, ** for us zero-based people is still a bit difficult. After registering for classes, systematic learning, the efficiency is much higher. After four months of study, they will be directly employed.

You can buy a book to preview and understand in advance, but it is unlikely that you want to learn python on your own systematically. I've been working for two years and have only seen one successful self-taught. This is all at the level of talent, and ordinary people still forget it.

You should choose a good Python direction, such as data collection direction, web development direction, etc., and learn Python step by step according to books or teachings. Go and find suitable python project examples to improve your abilities while checking and filling in the gaps.