Here's how you can enhance problem-solving through confidence in programming.

Gaining confidence also involves seeking feedback from peers and mentors. Code reviews are an excellent way to learn new approaches and perspectives on problem-solving. Don't be discouraged by criticism; instead, view it as an opportunity to grow. Engage in pair programming sessions where you can collaborate and learn from others in real-time. This collaboration can bolster your confidence as you see how others approach problems and validate your solutions.

-Continuous Learning: Dedicate time to improving your skills through online courses, tutorials, and hands-on practice. ?? -Practice Regularly: Engage in coding exercises and small projects to reinforce your knowledge and skills. ?? -Set Achievable Goals: Break down larger problems into manageable tasks and celebrate each successful solution. ?? -Seek Feedback: Solicit feedback from peers or mentors to identify areas for improvement and validate your problem-solving approach. ??? -Challenge Yourself: Gradually tackle more complex problems to expand your capabilities and confidence. ??

Ensure you have a strong understanding of fundamental programming concepts such as variables, control structures, data structures, algorithms, and object-oriented programming.

Learning patterns requires patience. It is not something you can grab in a day or two. Apart from MVC, there are other patterns to master i.e. Model View ViewModel (MVVM), Presentation Abstraction Control, and Peer-to-Peer pattern. So, you can learn as many patterns as you want but it takes time and patience to follow one, and once you're into a pattern you can't unlearn it. Either you are good at it or you are not. So Keep hustling, keep growing, and never stick to a single pattern.

Learn design patterns to understand common solutions to recurring problems in software design. MVC,MVVM,MVP and MVI all of patterns use for creating apps.

Boosting confidence in programming significantly enhances problem-solving abilities. Confidence fostered in me a positive mindset, encouraging me to tackle challenges. When you believe in your skills, you're more likely to experiment with different approaches, leading to effective solutions. Confident programmers are also better at debugging because they trust their ability to find and fix errors. This self-assurance helps in breaking down complex problems into manageable parts, making them easier to solve. Additionally, confidence encourages me in continuous learning, as I am more willing to explore new technologies.

Ne pas se décourager devant un bug ! c'est souvent l'occasion de prendre du recul sur le système et ses fonctionnalités. Prendre le temps de remonter le code en suivant le chemin parcourue dans l'architecture. L'utilisation d'un outil de débugueur via la mise en place d'un test unitaire est la solution la plus fiable et reproductible à long terme. Mieux vaux éviter les "print coucou", ?a ne fait pas sérieux ! (surtout si on les oublie en prod... ??) Les points d'arrêts sont indispensables pour s'aiguiller aux intersections que représentent les conditions dans le code et toujours se poser la question de pourquoi je passe ou ne passe pas par ici dans le code.

- Integrated Debuggers: Use the debugging tools provided by your IDE (e.g., Visual Studio Code, PyCharm, Eclipse). These tools allow you to set breakpoints, inspect variables, and step through code. - Logging: Insert logging statements in your code to track the flow of execution and state of variables. Use logging libraries (like Python’s logging module) instead of print statements for more flexibility and control. - Third-Party Tools: Utilize third-party debugging tools and extensions specific to your programming language and environment.

- Peer Reviews: Engage in code reviews with peers. This provides an opportunity to receive constructive feedback on your code style, logic, and efficiency. - Senior Developers: Seek reviews from more experienced developers. They can offer insights into best practices, advanced techniques, and potential pitfalls. - Automated Tools: Use code review tools like GitHub's pull request reviews, Gerrit, or Phabricator to streamline the feedback process.

1. Consistent Practice: Dedicate a specific time each day for coding practice. Even 30 minutes a day can lead to significant improvement over time. 2. Varied Problems: Solve different types of problems to avoid monotony and cover a broad range of topics. This ensures a well-rounded skill set.

Gradually take on more complex projects as your skills improve. Larger projects can help you understand how different components of a program interact.