Reducing the use of global variables in C can be achieved by: 1. Using encapsulation and singleton patterns to hide data and limit instances; 2. Using dependency injection to pass dependencies; 3. Using local static variables to replace global shared data; 4. Reduce the dependence of global variables through namespace and modular organization of code.

In C, the bit field is a structure member that specifies the number of bits, used to save memory and directly manipulate hardware. Example: structMyStruct{inta:2;intb:5;intc:1;}. The advantage of bit domains is memory savings, but there are cross-platform issues, access restrictions and assignments that require caution. Example of usage: structStateMachine{unsignedintpower:1;unsignedintmode:2;unsignedinterror:1;}. Performance recommendations include arranging bit fields by size, avoiding overuse and adequate testing.

The syntax of the trigonometric operator in C is condition?expression1:expression2, which is used to select and execute different expressions according to the condition. 1) Basic usage example: intmax=(x>y)?x:y, used to select the larger value in x and y. 2) Example of nested usage: intresult=(a>0&&b>0)?a b:(a==0||b==0)?a*b:a-b, used to perform different operations according to different conditions. 3) Error handling example: std::stringerrorMessage=(errorCode==0)?"Successful&quo

The usage of logical non-operator! in C includes: 1) Basic usage: inverse the Boolean value; 2) Conditional judgment: simplify the code, such as checking whether the container is empty; 3) Loop control: processing elements that do not meet the conditions; 4) Function return value processing: determine whether the operation has failed. Pay attention to potential pitfalls such as pointer processing and operator priority when using!, but it can help write more concise and efficient code.

Python is widely used in data science, web development, automation, finance, scientific computing and other fields. 1) Data Science: Use NumPy, Pandas, TensorFlow and other libraries to process data and build models. 2) Web development: Django and Flask frameworks quickly build websites. 3) Automation: Write scripts to automate tasks. 4) Finance: Quantopian and Zipline are used for quantitative transactions. 5) Scientific Computing: SciPy and Matplotlib are used for data analysis and visualization. Python's simplicity and readability make it ideal for multiple fields.

Implementing an efficient and flexible logging system in C can use the following steps: 1. Define log classes and process log information at different levels; 2. Use policy mode to achieve multi-objective output; 3. Ensure thread safety through mutex locks; 4. Use lock-free queues for performance optimization. This can build a log system that meets the needs of actual application.

To reduce the size of HTML files, you need to clean up redundant code, compress content, and optimize structure. 1. Delete unused tags, comments and extra blanks to reduce volume; 2. Move inline CSS and JavaScript to external files and merge multiple scripts or style blocks; 3. Simplify label syntax without affecting parsing, such as omitting optional closed tags or using short attributes; 4. After cleaning, enable server-side compression technologies such as Gzip or Brotli to further reduce the transmission volume. These steps can significantly improve page loading performance without sacrificing functionality.

There are three ways to efficiently obtain file size in Python: 1. Use os.path.getsize(), which is suitable for a single file, and error handling is required; 2. Use pathlib.Path.stat().st_size to provide an object-oriented interface, which is suitable for a single file; 3. Use os.scandir() combined with os.path.getsize(), which is suitable for batch processing of files to improve performance.