Is python worth learning? Of course, the answer is beyond doubt~
At present, almost all large and medium-sized Internet companies are using Python to complete various tasks, such as web application development, automated operation and maintenance, artificial intelligence, web crawlers, scientific computing, game development and other fields are inseparable from Python.
Especially in data-related fields, such as data science, data analysis, machine learning and other fields, the language of choice is Python!
We can see that with the development of the digital economy and pressing the "fast forward button", big data talents who are good at Python are more and more favored by enterprises. Not only is there a large demand for recruitment, but the employment salary is also very high!
Now, not only Internet companies use the Python programming language, but Python can also be used in the work of professionals.
Before learning Python: Is this thing really as good as it is said to be?
After learning Python: Oh my god, it smells so good~
It takes others 2 days to process Excel data, but you only spend 1 hour with Python;
Others rely on guts to fish, you rely on Python to automate your office, and fish openly;
When others are looking for resources from one website to another, you can easily find them all with Python;
……
From then on, no matter how difficult the job is, it will no longer be a problem in your eyes~ Promotion and salary increase are all yours! Python is so real!
So some people say that there are only two types of people in this world, one who has learned Python, and the other who is on the way to learn Python.
Python+ has become a weapon
Shine big in the field of big data
Python has become a sharp tool for people in the workplace to pursue efficiency, because no matter what kind of work, data will be part of the work. Where there is data, there is Python!
We know that with the development of the Internet, online data is increasing in magnitude, and there is a lot of valuable information hidden in huge data, and Python can be used to discover and refine these valuable information, in data mining, data Play a key role in analysis, data visualization, and more!
Now, driven by digital transformation, more and more companies realize the charm of big data and continue to invest in this field. Talents related to Python+ big data development are also favored!
According to the "New Occupation—Analysis Report on the Employment Prosperity of Big Data Engineering and Technical Personnel", the demand for big data talents will reach 2.5 million in 2025!
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!
Big data learning route and resources:
Getting Started: Getting Started with Linux → MySQL Database
Core Foundation: Hadoop
Data Warehouse Technology: Hive Data Warehouse Project
PB Memory Computing: Getting Started with Python → Advanced Python → pyspark Framework → Hive+Spark Project
Before choosing a training institution, you can learn about big data Basic tutorial, see if you can master it~
Now, driven by digital transformation, more and more companies realize the charm of big data and continue to invest in this field. Talents related to Python+ big data development are also favored!
The field of big data is very broad. Whether it is the technology field, the food industry, or the retail industry, big data talents are needed to process big data to provide better user experience, optimize inventory and reduce cost forecasting needs.
my country's market environment is in a stage where big data talents are urgently needed but talent is insufficient, so there will be many employment opportunities in the big data field in the future.
In the spring of 2022, although the recruitment scale of the Internet industry is still growing, with a year-on-year growth rate of 13%, it is at a low point since 2019, and the intensity of job hunting is higher than in previous years.
On the whole, the core technical and product positions still maintain a relatively intensive demand for talents, and the demand for talents in the main Internet technology directions has increased, while the competition for job seekers in operations and sales positions has intensified significantly.
Big data blooms everywhere,
how to seize learning opportunities?
From the "2022 China Big Data Industry Development Index Report", we can see that now big data-related industries have developed in various cities, the scale of the industry is also expanding, and the demand for talents in related industries is also increasing !
According to the "New Occupation—Analysis Report on the Employment Prosperity of Big Data Engineering and Technical Personnel", it is expected that the demand for big data talents will maintain a growth rate of 30%-40% before 2025, and the demand for talents in the industry will reach 2.5 million.
Not only is there a lot of recruitment demand, but the employment salary of big data development talents in major cities is also very impressive.
△ Data source staff collection, such as intrusion and deletion
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 (all free video tutorials)
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 the basic data types, and then learn and master the functions, familiarize yourself with file operations, initially build an object-oriented programming idea, 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.