A few days of Chuanzhi Podcast's basic python class
How many days does Chuanzhi Podcast’s basic python class take?
Chuanzhi Podcast’s basic python class lasts for 20 days, and the employment class lasts for four and a half months.
Things to learn in Chuanzhi Podcast python training class
1. The first stage of Python core programming
Core competencies that can be mastered
1. Master the basic syntax of Python and have basic programming abilities;
2. Establish programming thinking and object-oriented programming ideas.
Realistic Problems Solved
Be able to skillfully use Python technology to write programs for small problems and develop small game programs.
2.
Second stage Python and Linux advanced programming
Core competencies that can be mastered
1. Be able to use the Linux operating system proficiently;
2. Master the technologies related to network programming and be able to realize data communication between networks;
3. Master the technologies related to handling concurrency in programming design and be able to write network programs that support high concurrency;
4. Be able to master MySQL operation related technologies, be proficient in writing various database operation SQL statements, and be able to interact with data between Python and MySQL;
5. Master the workflow of the web server, and The implementation principle of web framework.
Realistic problems solved
Be able to use object-oriented programming methods to develop high-concurrency network programs based on the Linux operating system.
3. The third stage of front-end development
Core capabilities that can be mastered
1. Can develop the front-end page of the Web website based on UI design;
2. PC and mobile page special effects development;
3. Front-end page performance optimization.
Realistic Problems Solved
1. Develop front-end pages and mobile H5 pages for common Web websites;
2. Communicate data with the backend.
The fourth stage of Web development
Core capabilities that can be mastered
1. The front-end interface of the Web website can be developed based on the product prototype diagram;
2 , The backend business of the Web website can be developed according to the business flow chart;
3. The corresponding database can be developed according to the Web framework design;
4. The operation and design of the cache server;
5. Implementation of asynchronous tasks.
Realistic problems solved
1. High concurrency and full-featured Web website development;
2. Provide data response speed and flexible use of cache;
3 , Design corresponding database tables based on actual problems.
Fifth stage data processing
Core capabilities that can be mastered
1. Master the working principles and design ideas of crawlers;
2. Master anti-crawlers Mechanism;
3. Master distributed data collection;
4. Master the basic processes and steps of data analysis;
5. Master the general process of data mining.
Realistic problems solved
1. Targeted capture of massive information in specified fields on the Internet;
2.Use distributed crawlers to achieve large-scale data collection;
3. Be able to customize the crawler collection system according to actual development needs;
4. Be able to analyze massive data and mine the potential value of data according to needs.
The sixth stage of artificial intelligence
Core capabilities that can be mastered
1. Master the use of basic data mining tools; 4. Design strategies based on quantitative trading rules;
2. Master data mining and data processing methods; 5. Master deep learning algorithms and frameworks;
3. Understand the principles of common machine learning algorithms; 6. Implementation of image recognition and detection.
Realistic problems solved
1. From data support to strategy development;
2. Implementation of automatic quantitative trading platform;
3. Deep learning model The training process;
4. Image recognition and detection tasks.
Seventh stage interview strengthening
Core competencies that can be mastered
1. Master the basics and development skills of shell programming;
2. Master the commonly used shell programming Expressions and process control statements;
3. Master the process specifications for project release;
4. Master the process specifications for writing production scripts;
5. Understand the project life cycle and common project development models.
Realistic problems solved
1. Automatic deployment of project environment;
2.Automated release of project code;
3.Understanding of project life cycle.
Note: php Chinese website provides a large number of free, original, high-definition php video tutorials, and will hold php public welfare training regularly!
The above is the detailed content of A few days of Chuanzhi Podcast's basic python class. 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



PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.

In VS Code, you can run the program in the terminal through the following steps: Prepare the code and open the integrated terminal to ensure that the code directory is consistent with the terminal working directory. Select the run command according to the programming language (such as Python's python your_file_name.py) to check whether it runs successfully and resolve errors. Use the debugger to improve debugging efficiency.

VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

VS Code is available on Mac. It has powerful extensions, Git integration, terminal and debugger, and also offers a wealth of setup options. However, for particularly large projects or highly professional development, VS Code may have performance or functional limitations.

The key to running Jupyter Notebook in VS Code is to ensure that the Python environment is properly configured, understand that the code execution order is consistent with the cell order, and be aware of large files or external libraries that may affect performance. The code completion and debugging functions provided by VS Code can greatly improve coding efficiency and reduce errors.