How to write a python crawler resume
How to write a python crawler resume?
Python crawler resume is as follows:
1. Basic information
Job position: Python crawler engineer (full-time )
Expected salary: more than 15,000
Name: xx
Mobile phone number: xxxx
Email: xxxx@qq.com
Graduate school: Xiamen University Software College
2. Master skills
1. Proficient use of 8 data types in Python
2.Python Proficient use of anonymous functions, list comprehensions, and decorators
3. Proficient use of re, requests, beautifulSoup and other libraries in Python
4. Proficient use of Python crawler framework Scrapy
5. Proficient use of proxy IP and UserAgent in Python crawler disguise
6. Basic use of Python and scrapyt-redis distributed crawlers
7. Python operation of Mysql database addition, deletion, modification and query
8. Python operates the MongoDB database to add, delete, modify and query
9. Python establishes a database connection pool to improve efficiency
10. Proficient use of the team collaboration development tool git
11. Familiar with the daily working environment of Linux, proficient in common commands and tuning and monitoring methods
12. Proficient use of the python machine learning library scikit-learn library
13. python scientific computing library Proficient use of numpy, scipy and data analysis library pandas
3. Project experience
1. 12306 automatic ticket brushing software based on Selenium
2. Crawling Bole online website based on Scrapy and storing it in mysql database
3. Xiamen housing price prediction system based on GradientBoosting model
4.Personal characteristics
1. Clear thinking, optimize code, solve bugs, and be able to complete projects independently
2. Strong logical reasoning ability and understanding ability
3. The code is highly readable and the code can be copied High usability and standard variable naming.
4. I like to write blogs to share my experiences. Personal blog: xxxx
5. Accept the 996 work system
5. Others
Personal related information that may be useful to your company:
1. Have experience in hardware maintenance and implementation, and be able to deploy servers and LANs.
2. I personally hope to develop in a big city and become a data scientist in the future.
3. Have team management experience, served as captain of the dragon boat team during college, and served as monitor of the training class to assist teachers in solving problems for students.
Related recommendations: "Python Tutorial"
The above is the detailed content of How to write a python crawler resume. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.
