What to learn about python backend development

The contents of learning python back-end development include: 1. Basics of python language; 2. Advanced python language; 3. Python full-stack engineer front-end; 4. Python full-stack engineer back-end; 5. Linux operation and maintenance and Automated development; 6. python data analysis; 7. python big data; 8. python machine learning.

#Python is a computer programming language. It is an object-oriented dynamic type language that was originally designed for writing automated scripts (shells). With the continuous updates of the version and the addition of new language features, it is increasingly used for the development of independent and large-scale projects.

How to master the python backend? What do I need to learn?

The nine-story platform starts from the base soil. If you want to become a high-end talent in the field of Python development, basic knowledge is very important, and practical experience is also very important. Only by closely integrating theoretical knowledge with practical projects, and integrating existing knowledge with trendy technologies, can you stand at the top of the technology chain.

The following is the Python development learning route, which is divided into 10 stages.

The first stage is the basics of Python language, mainly learning the most basic knowledge of Python, such as Python3, data types, strings, functions, classes, file operations, etc. After the first stage of the course, students need to complete projects such as Pygame Actual Aircraft War and 2048;

The second stage is advanced Python language, mainly learning Python libraries, regular expressions, process threads, crawlers, traversals and MySQL database;

The third stage is Python full-stack engineer front-end, mainly learning HTML, CSS, JavaScript, jQuery and other front-end knowledge. Students need to complete practical web interface design

The fourth to fifth stages are Python full-stack engineer back-end, mainly learning Django, Flask and Tornado. Students need to complete corresponding practical projects;

The sixth stage is Linux basics, mainly learning Linux Various related commands, such as file processing commands, compression and decompression commands, permission management and Linux Shell development, etc.;

The seventh stage is the automated development of Linux operation and maintenance, mainly learning Python to develop Linux operation and maintenance, Linux operation and maintenance alarm tool development, Linux operation and maintenance alarm security audit development, Linux business quality report tool development, Kali security detection tool detection and Kali password cracking practice;

The eighth stage is Python data analysis. Mainly learn numpy data processing, pandas data analysis, matplotlib data visualization, scipy data statistical analysis and python financial data analysis;

The ninth stage is Python big data, mainly learning Hadoop HDFS, python Hadoop MapReduce, python Spark core, python Spark SQL and python Spark MLlib;

The tenth stage is Python machine learning, mainly learning KNN algorithm, linear regression, logistic regression algorithm, decision tree algorithm, and naive Baye Sri Lankan algorithm, support vector machine and clustering k-means algorithm.

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