Python is widely used in popular fields
Learners have obvious employment advantages!
When it comes to the advantages of Python, I have to mention this joke: Python can do everything except not having children.
Web development, web crawler, data analysis, artificial intelligence, automation, cloud computing, network programming, game development and other fields all use efficient Python!
Python, which is so powerful and efficient, is very simple and easy to learn, which makes students who learn it love it, and more and more Internet companies begin to use Python as the main development language, such as Google, Facebook (now Meta) , Douban, Zhihu and other well-known Internet companies are using Python for development.
Because Python has a wide range of applications and is used by many companies, the demand for relevant development talents continues to increase, especially the rapid development of big data, artificial intelligence and other fields, so that "Python+" talents are favored by companies.
According to statistics from third-party platforms, Internet companies and digital transformation companies in various popular cities are now recruiting "Python+" talents with high salaries. For example, the average salary for recruiting talents related to Python+ big data development has reached 26.3k in Beijing! The salary in non-first-tier cities is also very attractive!
△ The average salary of recruiting big data talents in major cities
So, if you are already learning Python, be sure to learn it well. If you haven't started learning Python yet, I advise you to start as soon as possible! Start with Python skills, no loss!
Under this gap, the salaries of big data talents have been soaring. Not only can high-paying jobs be found in first-tier cities, but employment in new first-tier cities and provincial capital cities is also very good!
High salaries and large gaps naturally become the "salary" choice for professionals in the workplace!
Any learning process requires a scientific and reasonable learning route in order to be able to complete our learning goals in an orderly manner. The content required to learn Python+big data is complex and difficult. We have compiled a comprehensive Python+big data learning roadmap for you to help you clarify your thinking and overcome difficulties!
Detailed introduction to Python+big data learning roadmap
Getting Started with Big Data Development in Phase 1
Pre-study guide: Start with traditional relational databases, master data migration tools, BI data visualization tools, and SQL, and lay a solid foundation for subsequent learning.
1. Big data data development foundation MySQL8.0 from entry to proficiency
MySQL is the entire IT basic course, and SQL runs through the entire IT life. As the saying goes, if SQL is well written, you can find a job easily. This course fully explains MySQL8.0 from zero to advanced level. After studying this course, you can have the SQL level required for basic development.
The core foundation of big data in the second stage
Pre-study guide: learn Linux, Hadoop, Hive, and master the basic technology of big data.
2022 Big Data Hadoop Introductory Tutorial
Hadoop offline is the core and cornerstone of the big data ecosystem, an introduction to the entire big data development, and a course that lays a solid foundation for the later Spark and Flink. After mastering the three parts of the course: Linux, Hadoop, and Hive, you can independently realize the development of visual reports for offline data analysis based on the data warehouse.
The third stage of hundreds of billions of data warehouse technology
Pre-study guide: The course at this stage is driven by real projects, learning offline data warehouse technology.
Data offline data warehouse, enterprise-level online education project practice (complete process of Hive data warehouse project)
This course will establish a group data warehouse, unify the group data center, and centralize the storage and processing of scattered business data; the purpose is from demand research, design, Version control, R&D, testing, and launch, covering the complete process of the project; digging and analyzing massive user behavior data, customizing multi-dimensional data sets, and forming a data mart for use in various scene themes.
The fourth stage PB memory computing
Pre-study guide: Spark has officially adopted Python as the first language on its homepage. In the update of version 3.2, it highlights the built-in bundled Pandas; Spark content.
1. From entry to mastery of python (19 days)
Python basic learning courses, from building the environment. Judgment statements, and then to basic data types, and then learn and master functions, familiarize yourself with file operations, initially build object-oriented programming ideas, and finally lead students into the palace of python programming with a case.
2. Python programming advanced from zero to website building
After completing this course, you will master advanced Python syntax, multi-tasking programming, and network programming.
3.spark3.2 from basic to proficient
Spark is the star product of the big data system. It is a high-performance distributed memory iterative computing framework that can handle massive amounts of data. This course is developed based on Python language learning Spark3.2. The explanation of the course focuses on integrating theory with practice, which is efficient, fast, and easy to understand, so that beginners can quickly master it. Let experienced engineers also gain something.
4. Big data Hive+Spark offline data warehouse industrial project actual combat
Through the big data technology architecture, it solves the data storage and analysis, visualization, and personalized recommendation problems in the industrial Internet of Things manufacturing industry. The one-stop manufacturing project is mainly based on the Hive data warehouse layer to store the data of various business indicators, and based on sparkSQL for data analysis. The core business involves operators, call centers, work orders, gas stations, and warehousing materials.