Python is so powerful and efficient, but it is very simple and easy to learn. This 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), Well-known Internet companies such as Douban and Zhihu are using Python for development.
Because Python has a wide range of applications and is used by many companies, the demand for related development talents is increasing. Especially with the rapid development of big data, artificial intelligence and other fields, "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 at high salaries. For example, the average salary for recruiting talents related to Python+ big data development has reached 26.3k in Beijing! Salaries in non-first-tier cities are also very attractive!
△ Average salary for recruiting big data talents in major popular cities
So, if you are already learning Python, be sure to learn it hard. If you haven’t started learning Python yet, I urge you to start as soon as possible! It’s worth it to acquire Python skills!
Under this gap, the salary of big data talents has been soaring. Not only can they find high-paying jobs in first-tier cities, but employment in new first-tier and provincial capital cities is also very good!
The salary is high and the gap is large, so it has naturally become the “salary” choice for professionals!
Any learning process requires a scientific and reasonable learning route to achieve 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 to help you clarify your ideas and overcome difficulties!
Detailed introduction to Python+big data learning roadmap
Introduction to the first phase of big data development
Pre-study introduction: Start with traditional relational databases, master data migration tools, BI data visualization tools, and SQL to lay a solid foundation for subsequent learning.
1. Big data data development basics 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 you write SQL well, you can find a job easily. This course comprehensively explains MySQL8.0 from zero to advanced level. After studying this course, you can have the SQL level required for basic development.
The second stage of big data core foundation
Pre-study introduction: Learn Linux, Hadoop, Hive, and master the basic technologies of big data.
The 2022 version of Big Data Hadoop Introductory Tutorial
Hadoop Offline is the core and cornerstone of the big data ecosystem. It is an introduction to the entire big data development and a course that lays a solid foundation for later Spark and Flink. After mastering the three parts of the course: Linux, Hadoop, and Hive, you can independently implement visual report development for offline data analysis based on the data warehouse.
The third stage of hundreds of billions of data warehouse technology
Pre-study introduction: This stage of the course is driven by real projects and learns 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 centrally store and process scattered business data; the purpose is from demand research, design, Version control, research and development, testing to implementation, covering the complete process of the project; mining and analyzing massive user behavior data, customizing multi-dimensional data collections, and forming a data mart for use in various scene themes.
Phase 4 PB Memory Computing
Pre-study introduction: Spark has officially adopted Python as the first language on its homepage. In the update to version 3.2, it is highlighted that Pandas is built-in and bundled; the course fully complies with the trend of the technical community and recruitment needs, and is the first company in the entire network to add Python on Spark content.
1. Python from beginner to proficient (19 days complete)
Python basic learning course, starting from setting up the environment. Judgment statements, then basic data types, then learn and master functions, become familiar with file operations, initially build object-oriented programming ideas, and finally lead students into the Python programming palace with a case.
2.Advanced python programming from scratch to building a website
After studying this course, you will master Python's advanced syntax, multi-task programming and network programming.
3.spark3.2 from basics to mastery
Spark is the star product of the big data system. It is a high-performance distributed memory iterative computing framework that can process massive amounts of data. This course is developed based on Python language learning Spark3.2. The explanation of the course focuses on connecting theory with practice, is efficient and fast, and explains the profound things in simple terms, so that even beginners can master it quickly. Let experienced engineers also gain something.
4. Big data Hive+Spark offline data warehouse industrial project practice
Through the big data technology architecture, we solve 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 Hive data warehouse layering to store various business indicator data, and uses sparkSQL for data analysis. The core business involves operators, call centers, work orders, gas stations, and warehousing materials.