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include include int main(){ char name[10], pasword[10]; printf("enter you user name :"); gets(name); printf("enter your pasword : "); gets(pasword); printf("your name : %s \n your password : %s \n", name, pasword); if ( name != "youcef") { printf("name undefined\n"); } else { printf("finde name"); }
}
his not working
You will want to do a few things here. First, replace gets with fgets. Then, you're going to want to use strcmp from string.h to compare the input with the desired result. The code listed below has been updated with a working example with the previously mentioned recommendations. This isn't perfect and there are other ways to accomplish the same task. Explore other options that are available when you have a chance and see if you can improve on this example.
#include <stdio.h>
#include <string.h>
int main()
{
char name[10],
pasword[10];
printf("enter you user name :");
// Use fgets as gets is insecure and can easily lead to buffer overflow exploits
fgets(name, sizeof(char) * sizeof(name), stdin);
// Remove \n from fgets stdin read with null character so as to not have to include
// in strcmp later.
name[strlen(name) - 1] = '\0';
printf("enter your pasword : ");
fgets(pasword, sizeof(char) * sizeof(pasword), stdin);
printf("your name : %s \n your password : %s \n", name, pasword);
// If strcmp result > 0 || < 0 it's not a match
if (strcmp(name, "youcef") != 0)
{
printf("name undefined\n");
}
else
{
printf("finde name");
}
}
Dear, Yusuf You can't use if statement to compare two strings, but you can use strcmp() function which means string compare The behavior of strcmp function is: If (string1 < string2)? Then: return a negative value. If (string1 > string2)? Then: return a positive value.
If(string1 == string2)? Then: return (0).So, you can modify this statment to: if(strcmp(name,"Yousef") != 0) printf("name undefined\n");
else printf("find name");But, In this case there is one logic problem that (strcmp) function don't ignore the letter case. For example: If you input name : yousef
The first letter here (y) is small, but in the comparing statement above is capital, So the result will be "name undefined", but in fact "yousef" = "Yousef".To solve this problem you should use stracasecmp() function. This function ignore the letter case while comparing. The code will be: if(strcasecmp(name,"Yousef") != 0) printf("name undefined\n");
else printf("find name");Attention: Include string libreary after using these functions to skip any problem may be found.
includemay Allah bless you ^_^
Finding the best server-side tool for building a personal information organizer that focuses on performance, simplicity, and scalability.
performance and scalability get a prototype going fast by keeping codebase simple find hosting that is affordable and scales well (Java/Scala-based ones might not be affordable)
I've picked Node.js here but honestly it's a toss up between that and Go around this. It really depends on your background and skillset around "get something going fast" for one of these languages. Based on not knowing that I've suggested Node because it can be easier to prototype quickly and built right is performant enough. The scaffolding provided around Node.js services (Koa, Restify, NestJS) means you can get up and running pretty easily. It's important to note that the tooling surrounding this is good also, such as tracing, metrics et al (important when you're building production ready services).
You'll get more scalability and perf from go, but balancing them out I would say that you'll get pretty far with a well built Node.JS service (our entire site with over 1.5k requests/m scales easily and holds it's own with 4 pods in production.
Without knowing the scale you are building for and the systems you are using around it it's hard to say for certain this is the right route.
Python has become the most popular language for machine learning right now since almost all machine learning tools provide service for this language, and it is really to use since it has many build-in objects like Hashtable. In C, you need to implement everything by yourself.
C++ is one of the most popular programming languages in graphics. It has many fancy libraries like eigen to help us process matrix. I have many previous projects about graphics based on C++ and this time, we also need to deal with graphics since we need to analyze movements of the human body. C++ has much more advantages than Java. C++ uses only compiler, whereas Java uses compiler and interpreter in both. C++ supports both operator overloading and method overloading whereas Java only supports method overloading. C++ supports manual object management with the help of new and delete keywords whereas Java has built-in automatic garbage collection.
I am working in the domain of big data and machine learning. I am helping companies with bringing their machine learning models to the production. In many projects there is a tendency to port Python, PySpark code to Scala and Scala Spark.
This yields to longer time to market and a lot of mistakes due to necessity to understand and re-write the code. Also many libraries/apis that data scientists/machine learning practitioners use are not available in jvm ecosystem.
Simply, refactoring (if necessary) and organising the code of the data scientists by following best practices of software development is less error prone and faster comparing to re-write in Scala.
Pipeline orchestration tools such as Luigi/Airflow is python native and fits well to this picture.
I have heard some arguments against Python such as, it is slow, or it is hard to maintain due to its dynamically typed language. However cost/benefit of time consumed porting python code to java/scala alone would be enough as a counter-argument. ML pipelines rarerly contains a lot of code (if that is not the case, such as complex domain and significant amount of code, then scala would be a better fit).
In terms of performance, I did not see any issues with Python. It is not the fastest runtime around but ML applications are rarely time-critical (majority of them is batch based).
I still prefer Scala for developing APIs and for applications where the domain contains complex logic.
We needed to incorporate Big Data Framework for data stream analysis, specifically Apache Spark / Apache Storm. The three options of languages were most suitable for the job - Python, Java, Scala.
The winner was Python for the top of the class, high-performance data analysis libraries (NumPy, Pandas) written in C, quick learning curve, quick prototyping allowance, and a great connection with other future tools for machine learning as Tensorflow.
The whole code was shorter & more readable which made it easier to develop and maintain.
As a personal research project I wanted to add post-quantum crypto KEM (key encapsulation) algorithms and new symmetric crypto session algorithms to openssh. I found the openssh code and its channel/context management extremely complex.
Concurrently, I was learning Go. It occurred to me that Go's excellent standard library, including crypto libraries, plus its much safer memory model and string/buffer handling would be better suited to a secure remote shell solution. So I started from scratch, writing a clean-room Go-based solution, without regard for ssh compatibility. Interactive and token-based login, secure copy and tunnels.
Of course, it needs a proper security audit for side channel attacks, protocol vulnerabilities and so on -- but I was impressed by how much simpler a client-server application with crypto and complex terminal handling was in Go.
$ sloc openssh-portable
Languages Files Code Comment Blank Total CodeLns
Total 502 112982 14327 15705 143014 100.0%
C 389 105938 13349 14416 133703 93.5%
Shell 92 6118 937 1129 8184 5.7%
Make 16 468 37 131 636 0.4%
AWK 1 363 0 7 370 0.3%
C++ 3 79 4 18 101 0.1%
Conf 1 16 0 4 20 0.0%
$ sloc xs
Languages Files Code Comment Blank Total CodeLns
Total 34 3658 1231 655 5544 100.0%
Go 19 3230 1199 507 4936 89.0%
Markdown 2 181 0 76 257 4.6%
Make 7 148 4 50 202 3.6%
YAML 1 39 0 5 44 0.8%
Text 1 30 0 7 37 0.7%
Modula 1 16 0 2 18 0.3%
Shell 3 14 28 8 50 0.9%
Pros of C lang
- Performance69
- Low-level49
- Portability36
- Hardware level29
- Embedded apps19
- Pure13
- Performance of assembler9
- Ubiquity8
- Great for embedded6
- Old4
- Compiles quickly4
- No garbage collection to slow it down3
- OpenMP2
- Gnu/linux interoperable2
Cons of C lang
- Low-level5
- No built in support for parallelism (e.g. map-reduce)3
- Lack of type safety3
- No built in support for concurrency3
What is C lang?
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