#Differences Between Java 8 And Java 11
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tccicomputercoaching · 6 months ago
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Compare Java 8 vs Java 11 with TCCI Computer Coaching Institute. Know the key features, differences, and why Java 11 is the future of development. Join our Java courses today!
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yojoejava · 4 months ago
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My INSANE GI Joe Winterfest Haul Will Blow Your Mind! | Yo Joe Java
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ermelynpadalapat · 8 months ago
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ALL ABOUT DESIGN PATTERN
A design pattern [1,2] is a specific method to solve a specific object-oriented software problem, realizing a more simple and convenient reuse of successful designs and architectures. Design patterns are widely used in the modern software industry to reuse best practices and improve the quality of software systems [3]. Nowadays, software engineers have a greet tendency to use design patterns (DPs) because they are considered to have an important role in software engineering in the sense that they can make the understanding of nonentities easier [4]. When a software is conducted, it needs to be carefully architected and designed to get benefitted from the inherent features of software quality [5].
Software design patterns have a considerable impact on the software development life cycle [6]. According to Dave Cohen a developer who find design pattern intriguing, the applicability at the third level (feature) is the “sweet spot.” They shine at encapsulating business logic, memory management, server calls, and much more [7]. Creational Design Pattern is an unlimited scope to recreate Geographical Area Objects without restrictions, developers would use different types of creational design patterns to cook an object in an orderly and sophisticated manner [8]. Structural design patterns focus on organizing classes and objects [9] to form larger, more flexible software structures. These patterns facilitates the composition of objects and define relationships between them to achieve system structural integrity. By emphasizing object composition, inheritance, and interface implementation, structural patterns promote code reusability, and maintainability, and scalability [10]. Multiple research papers involving Behavioral design pattern [11] which have been proven of how have it became an important form in addressing major societal challenges.
Recent studies on design patterns 202-2024 underscore their significant role in enhancing software quality, adaptability, and performance. For instance, a systematic review highlights how design patterns can improve code readability, maintainability, and reusability, which are crucial for larger, object-oriented systems​ [12]. This is especially relevant in modern domains like microservices and machine learning applications, where modularity and scalability are essential. Research indicates that design patterns offer effective architectural solutions, particularly in complex systems with high performance and reliability demands. For example, in microservice-based architectures, design patterns support optimal resource use and scalability by structuring system components to handle increasing workloads efficiently [13].
To discover more about design pattern, here are some sites for you to learn them:
References:
Naghdipour, A., Hasheminejad, S., Keyvanpour, M.R. DPSA. A Brief Review for Design Pattern Selection Approaches. In Proceedings of the 2021 26th International Computer Conference: Computer Society of Iran (CSICC), Tehran, Iran, 3–4 March 2021; pp. 1–14. https://ieeexplore.ieee.org/abstract/document/9420629
Ohstuki, M.; Kakeshita, T. Generating Relationship between Design Pattern and Source Code. In Proceedings of the 13th International Conference on Computer Supported Education, Prague, Czech Republic, 23–25 April 2021; pp. 288–293. https://www.scitepress.org/PublishedPapers/2021/104725/104725.pdf
Wang, L., Song, T., Song, H., & Zhang, S. (2022). Research on Design Pattern Detection Method Based on UML Model with Extended Image Information and Deep Learning. Applied Sciences, 12(17), 8718. https://doi.org/10.3390/app12178718
Yarahmadi, H.; Hasheminejad, S. Design pattern detection approaches: A systematic review of the literature. Artif. Intell. Rev. 2020, 53, 5789–5846. https://link.springer.com/article/10.1007/s10462-020-09834-5
Rana, M.E, Saleh, O.S. Chapter 15 - High assurance software architecture and design. In Emerging Methodologies and Applications in Modelling, System Assurances, Academic Press, 2022, Pages 271-285, ISBN 9780323902403. https://www.sciencedirect.com/science/article/pii/B9780323902403000151
Barmaki, R., Hasheminejad,S., Naghdipour, A. (2023). Software design pattern selection approaches: A systematic literature review.https://www.researchgate.net/publication/366827284_Software_design_pattern_selection_approaches_A_systematic_literature_review
Cohen D. (2021). INTRODUCTION TO DESIGN PATTERNS: WHY THEY'RE WORTH LEARNING. Tech Design Patterns. https://www.scraggo.com/design-patterns-intro/
Okeyo, B. (2024). Creational Design Pattern. https://www.billyokeyo.com/posts/creational-design-pattern/
Ngaogate W. (2023). Applying the Flyweight Design Pattern to Android Application Development. ASEAN Journal of Scientific and Technological Reports 26(2):49-57. https://www.researchgate.net/publication/369544605_Applying_the_Flyweight_Design_Pattern_to_Android_Application_Development
Aratchige, R.M, Guratne, M. Kariyawasam, K. Weerasinghe, P.N. (2024). An Overview of Structural Design Patterns in Object-Oriented Software Engineering. https://www.researchgate.net/publication/377969013_An_Overview_of_Structural_Design_Patterns_in_Object-Oriented_Software_Engineering
Khadilkar, P.R, Cash, P. (2020). Understanding behavioral design: barriers and enablers. Journal of Engineering Design. https://www.tandfonline.com/doi/full/10.1080/09544828.2020.1836611#d1e126
Software-Engineering design patterns for machine learning applications. (2022). IEEE Journals & Magazine | IEEE Xplore. https://ieeexplore.ieee.org/document/9734272
Meijer, W., Trubiani, C., & Aleti, A. (2024). Experimental evaluation of architectural software performance design patterns in microservices. Journal of Systems and Software, 218, 112183. https://doi.org/10.1016/j.jss.2024.112183
A song about Design Pattern:
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vatt-world · 9 months ago
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hi
. how to implement expection handling using Spring boot/rest 2. how to configure/implement Spring cloud config server. 3. How to setup two way SSL using Java/Spring boot 4. difference between Bean factory vs Application context in spring application 5. what happens when u send a request to spring boot ? 6. How does Spring Marshall/unmarshall? 7. How to implement Transactions using Spring boot. 8. How to do load balancing using Spring boot both client side and server side. 9. How to add css/javascript/images to spring boot application UI 10. Any spring /spring boot performance issues you encountered. 11. how to implement spring boot security using OAuth 12. How to setup multiple datasources using spring boot
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ilyasi4me · 10 months ago
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 Types of Software Engineering:
Software engineering encompasses various types, each with a focus on different aspects of software development. Here are some of the primary types: ### 1. **Frontend Engineering** - **Focus**:
 User interfaces and experiences. - **Key Technologies**:
 HTML, CSS, JavaScript, React, Angular, Vue.js.- **Role**:
 Frontend engineers design and develop the visual components and ensure that the user interface is responsive, accessible, and user-friendly. ### 2. **Backend Engineering** - **Focus**:
 Server-side logic, databases, and application architecture.- **Key Technologies**:
 PHP, Python, Ruby, Java, Node.js, SQL, NoSQL databases.- **Role**:
 Backend engineers work on the server, database, and application logic to ensure that data is correctly processed, stored, and retrieved. ### 3. **Full Stack Engineering**  - **Focus**:
 Both frontend and backend development.  - **Key Technologies**:
 A combination of frontend and backend technologies. - **Role**:
 Full stack engineers are proficient in both frontend and backend development, allowing them to handle all aspects of the software development lifecycle. ### 4. **DevOps Engineering** - **Focus**:
 Development, deployment, and operations. - **Key Technologies**:
 Docker, Kubernetes, Jenkins, CI/CD, AWS, Azure. - **Role**:
 DevOps engineers automate and streamline the processes of software development, testing, and deployment, often managing infrastructure as code. ### 5. **Mobile Engineering**  - **Focus**:
 Mobile application development.   - **Key Technologies**:
 Swift, Kotlin, Java, Flutter, React Native. - **Role**:
 Mobile engineers specialize in developing applications for mobile platforms like iOS and Android. ### 6. **Data Engineering**- **Focus**: 
Data infrastructure, pipelines, and storage. - **Key Technologies**:
 Python, SQL, Hadoop, Spark, Kafka.  - **Role**:
 Data engineers design and manage data pipelines, ensuring data is clean, accessible, and usable for analysis.### 7. **Quality Assurance (QA) Engineering**  - **Focus**:
 Software testing and quality control. - **Key Technologies**:
 Selenium, JUnit, TestNG, Cypress.  - **Role**:
 QA engineers develop and execute test cases, ensuring that the software meets quality standards before release.### 8. **Security Engineering**   - **Focus**:
 Securing software systems and protecting against vulnerabilities.- **Key Technologies**:
 Encryption, firewalls, penetration testing tools.   - **Role**:
 Security engineers identify and mitigate security risks, ensuring that software systems are protected against unauthorized access and breaches. ### 9. **Cloud Engineering** - **Focus**:
 Cloud infrastructure and services.- **Key Technologies**:
 AWS, Azure, Google Cloud, Terraform. - **Role**:
 Cloud engineers manage cloud-based infrastructure, ensuring scalability, reliability, and cost-efficiency of cloud services.### 10. **Machine Learning Engineering**  - **Focus**: 
Developing models and algorithms for AI.  - **Key Technologies**:
 TensorFlow, PyTorch, Scikit-learn, Python. - **Role**:
 Machine learning engineers design and implement models that can learn from and make predictions based on data. ### 11. **Embedded Systems Engineering** - **Focus**: 
Software for hardware devices.   - **Key Technologies**:
 C, C++, Assembly, RTOS.- **Role**:
 Embedded systems engineers work on software that runs on devices like microcontrollers, sensors, and other embedded systems. ### 12. **Site Reliability Engineering (SRE)**- **Focus**: 
Ensuring system reliability and uptime. - **Key Technologies**:
 Monitoring tools, automation scripts, CI/CD.   - **Role**:
 SREs work to ensure that applications are reliable, scalable, and maintainable, often bridging the gap between development and operations.
Each type of software engineering has its own set of responsibilities, tools, and technologies, catering to different aspects of software creation and maintenance.
Certainly! Here are additional details on each type of software engineering:### 1. **Frontend Engineering**
   Frontend engineers are the architects of the user experience. They translate design mockups into code, creating visually appealing and interactive elements that users engage with directly. These engineers must balance aesthetics with performance, ensuring that web pages load quickly, function smoothly, and adapt to different screen sizes and devices. They also work closely with UX/UI designers to implement designs accurately and may use tools like Figma or Adobe XD to collaborate on design implementation.### 2. **Backend Engineering**
   Backend engineers are responsible for the core logic of applications. They design and manage the architecture that supports the application, including databases, servers, and APIs. Their work ensures that data is processed efficiently and securely, enabling frontend applications to retrieve and display information to users. Backend engineers must be skilled in server management, database design, and optimization, often using technologies like PHP and Laravel, especially for complex, scalable applications.### 3. **Full Stack Engineering**
   Full stack engineers bridge the gap between frontend and backend development. They have the versatility to work on both the client-side and server-side of an application, making them highly valuable in small teams or startups where engineers must wear multiple hats. Their expertise allows them to understand the entire software stack, enabling them to build and maintain complete applications from end to end. This holistic understanding also allows full stack engineers to troubleshoot issues more effectively, as they can trace problems across the entire stack.### 4. **DevOps Engineering**
   DevOps engineers focus on automating and optimizing the software development lifecycle. They integrate development and operations teams to improve collaboration and productivity. By implementing continuous integration/continuous deployment (CI/CD) pipelines, DevOps engineers ensure that code changes are tested and deployed rapidly and reliably. Their work often involves managing cloud infrastructure, ensuring that applications are scalable and resilient. They also monitor systems to proactively identify and resolve issues before they impact users.### 5. **Mobile Engineering**
   Mobile engineers specialize in creating applications for smartphones and tablets, which often involves navigating the complexities of different operating systems like iOS and Android. They must consider various screen sizes, hardware capabilities, and platform-specific design guidelines. Mobile engineers are skilled in optimizing app performance and ensuring that applications provide a seamless user experience, whether the user is online or offline. They also work on integrating apps with hardware features like cameras, GPS, and sensors.### 6. **Data Engineering**
   Data engineers play a crucial role in handling the vast amounts of data generated and consumed by modern applications. They build and maintain data pipelines that collect, process, and store data from various sources. Their work ensures that data is accessible and reliable for data scientists and analysts, who use it to derive insights and inform business decisions. Data engineers must be adept at working with big data technologies and often collaborate with machine learning engineers to prepare datasets for training models.### 7. **Quality Assurance (QA) Engineering**
   QA engineers are the gatekeepers of software quality. They design test plans and automate testing processes to ensure that applications function as intended and meet user expectations. QA engineers work closely with developers to identify and fix bugs early in the development cycle, reducing the risk of issues in production. They may also perform load testing to ensure that applications can handle high traffic volumes without performance degradation. Their work is critical to maintaining high standards of software reliability and user satisfaction.### 8. **Security Engineering**
   Security engineers focus on protecting software systems from cyber threats. They implement security measures such as encryption, authentication, and intrusion detection to safeguard sensitive data and prevent unauthorized access. These engineers conduct regular security audits and penetration tests to identify vulnerabilities and apply patches or updates to mitigate risks. In an era where data breaches and cyberattacks are increasingly common, the role of security engineers is vital to ensuring the safety and integrity of software systems. ### 9. **Cloud Engineering**
   Cloud engineers specialize in building and maintaining cloud-based infrastructure, which allows applications to scale efficiently and cost-effectively. They manage cloud resources, such as servers, storage, and databases, and ensure that these resources are used optimally. Cloud engineers often work with multiple cloud providers like AWS, Azure, or Google Cloud, tailoring solutions to meet specific application needs. Their expertise in cloud-native technologies enables organizations to take advantage of the flexibility, scalability, and resilience offered by the cloud.### 10. **Machine Learning Engineering**
   Machine learning engineers are at the forefront of artificial intelligence (AI) innovation. They develop algorithms and models that enable machines to learn from data and make predictions or decisions. This involves working with large datasets, selecting the right algorithms, and fine-tuning models to improve their accuracy. Machine learning engineers often collaborate with data scientists to deploy models into production, where they can be used in applications like recommendation systems, fraud detection, or autonomous vehicles.### 11. **Embedded Systems Engineering**
   Embedded systems engineers work on software that is deeply integrated with hardware devices. These systems are found in a wide range of products, from medical devices and automotive systems to home appliances and industrial machines. Engineers in this field must have a strong understanding of hardware-software interaction and often work in environments with limited computing resources. Their work involves writing highly efficient code that can run on microcontrollers and other embedded systems with minimal power consumption and memory usage.### 12. **Site Reliability Engineering (SRE)**
   Site Reliability Engineers (SREs) focus on ensuring that applications are reliable, scalable, and maintainable. They use software engineering principles to manage infrastructure and operations, often automating repetitive tasks to reduce the potential for human error. SREs monitor system performance and set up alerting mechanisms to detect and address issues before they impact users. Their work is crucial for maintaining high availability in critical systems, such as those used by large-scale web services and cloud platforms.
These specialized roles within software engineering cater to different facets of the software development process, each playing a unique role in delivering high-quality, reliable, and secure software products.
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amitsaini012 · 1 year ago
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Top 15 Weird Programming Languages In Use in 2024
Programming languages have come a long way since the early days of computer science. While mainstream languages like C, Java, and Python continue to dominate software development, there are plenty of more obscure and unconventional options out there. These "weird" languages often prioritize things like ease of use, minimalism, or just plain fun over practical application. Some are little more than hobbyist projects, while others have managed to carve out a niche despite their oddities. In 2024, programmers will have more choice than ever when it comes to selecting a language for their next project. Whether they're looking to experiment with something new or just have a laugh, these 15 weird programming languages demonstrate the creative fringe of modern computer programming. Though not suited for large-scale software engineering, they highlight the endless possibilities in language design.
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1. Brainfuck 
One of the esoteric programming languages, Brainfuck consists of only 8 single-character commands. Programs look like long sequences of +++++++--<>, which is where the name comes from. It's challenging to write anything useful given the extreme minimalism.
2. Velato 
This language uses MIDI files as source code. Programs are literally music that gets compiled into executables. Debugging means listening to your code and fixing sour notes.
3. Chef 
Programs in Chef look like cooking recipes. Variables are ingredients, mixing them together follows the syntax, and executing the program requires "baking" the final recipe. A taste of computing for Food Network fans.
4. LOLCODE 
Inspired by the LOLcat meme, LOLCODE has verbose keywords like VISIBLE, GIMMEH, and OMGWTF. Semicolons are replaced by the phrase "NOW GTFO". Strange as it is, LOLCODE can actually be used to build applications.
5. Malbolge 
Malbolge was named after the eighth circle of hell in Dante's Inferno, and it was made to be very hard to program in. Its language is based on encryption, which is hard to understand, and each command can only access a small group of registers and memory places. It is more of a virtual torture device than a language.
6. Shakespeare 
This esoteric language aims to make programs appear like Shakespearean plays. Variables are cast as characters, IF statements become soliloquies, and functions act out scenes. The results are halfway between software and literature.
7. Emojicode 
Feeling expressive? Emojicode lets you construct variables, functions, loops, and other programming fundamentals out of emoji symbols. You'll be coding smiles, winks, and kisses in no time.
8. Piet 
Named after abstract artist Piet Mondrian, this color-based language has programs that look like abstract paintings. Different colors represent coding elements like variables or loops. Placement on the canvas determines logic flow.
9. Perl 
One of the old standbys of scripting languages, Perl has fallen out of fashion due to its dense syntax and orthogonality. Reading Perl code feels a bit like decoding an ancient hieroglyphic text these days.
10. INTERCAL 
Developed in the 1970s as a parody of other languages' cryptic syntax, INTERCAL is deliberately full of obtuse and nonsensical keywords that make writing sensible programs a fool's errand. More an academic curiosity than usable language now.
11. Befunge 
The source code for Befunge programs looks like a ASCII game map. Instructions execute left to right, top to bottom or can jump to new points on the map. Strange by nature and design, it's tough to wrap your head around Befunge.
12. MATLAB 
While not that exotic, MATLAB draws criticism for using 1-based indexing instead of the 0-based indexes common to C and other languages. This disconnect from programming norms qualifies MATLAB for weird language status.
13. IDL 
Like MATLAB, IDL feels out of place because variables have to be explicitly declared before use. Due to this lack of dynamism and other limitations, IDL is often described as archaic by modern programmers.
14. COBOL 
Few languages seem as foreign to modern coders as COBOL, which powers critical legacy systems. Its wordy syntax and niche application domain make COBOL programming an oddity.
15. HQ9+ 
This minimalist joke language has only 4 instructions - H prints "Hello", Q prints its own source code, 9 prints the lyrics to 99 Bottles of Beer, and + increments the accumulator. Vast programs are possible with those building blocks!
Conclusion 
While unusual languages like those discussed above probably won't be powering the next great startup or operating system, they demonstrate that programming can encompass more than practical software engineering. Some weird languages like Velato turn code into music. Others like Chef and LOLCODE find the aesthetics in programming. And languages like Brainfuck and INTERCAL push minimalism and obfuscation to their limits. Most importantly, these esoteric languages show that even in computing, creativity comes in surprising packages. Weird languages keep pushing the boundaries and possibilities of programming itself. Even though few of us will write production software in Shakespeare or Emojicode, these novel languages represent the vanguard of creative expression through code. Their very existence highlights that computing is as much about human expression as logical rigor. So while businesses will stick to Python and Java for now, these weird languages continue to flex the diversity and range of programming possibilities.
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some-programming-pearls · 1 year ago
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Possible Questions to ask During a Software Solutions Architect Interview
When interviewing a Software Solutions Architect with expertise in Java, you’ll want to assess their knowledge and experience in various areas, including Java technologies, software architecture, design patterns, and problem-solving abilities. Here are some interview questions to help you evaluate candidates: Can you explain the key differences between Java 8 and later versions, such as Java 11…
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madhuvemula · 2 years ago
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Mastering the Full Spectrum: Skills Required for a Proficient Full Stack Developer
Absolutely! I’m thrilled to explore the realm of full-stack development with you. My proficiency in this field has expanded significantly over time. Selenium has become widely recognized and extensively employed, cutting across various industries. Advance your career in Full-Stack Developer at a Top Institution in Chennai, like ACTE Technologies.
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A full-stack developer is a professional equipped with expertise in both front-end and back-end technologies, enabling them to engage in all aspects of a web application or software development project. This encompasses tasks such as designing user interfaces, implementing features, managing databases, and addressing server-side logic. Full-stack developers possess a comprehensive understanding of the entire development stack, enabling them to contribute to different phases of the software development life cycle.
Key Skills Required For A Full-Stack Developer Role Encompass:
1. Front-End Technologies:
Proficiency in HTML, CSS, and JavaScript. Familiarity with front-end frameworks like React, Angular, or Vue.js.
2. Back-End Technologies:
Mastery of programming languages such as JavaScript (Node.js), Python, Ruby, Java, or PHP. Knowledge of back-end frameworks like Express.js (JavaScript), Django (Python), Ruby on Rails (Ruby), Spring Boot (Java), or Laravel (PHP).
3. Databases:
Understanding of both relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB).
4. APIs:
Capability in designing, building, and consuming APIs. Knowledge of RESTful and GraphQL APIs.
5. Version Control:
Proficient use of version control systems, particularly Git.
6. DevOps and Deployment:
Familiarity with deployment, hosting, and containerization tools such as Docker. Understanding of continuous integration/continuous deployment (CI/CD) pipelines.
7. Testing:
Mastery of testing techniques and tools to ensure the reliability of code.
8. Command Line and Unix:
Competence in basic command line usage and Unix commands for streamlined development workflows.
9. Web Application Architecture:
Understanding of common web application architectures, including client-server models and MVC/MVVM patterns.
10. Build Tools and Package Managers:
Familiarity with build tools (e.g., Webpack) and package managers (e.g., npm, yarn).
11. Web Security Practices:
Knowledge of security best practices for web development, including authentication and authorization.
12. Continuous Learning:
Commitment to staying updated with the latest technologies and frameworks in the dynamic field of web development.
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Full-stack developers should seamlessly switch between front-end and back-end tasks, collaborate effectively with cross-functional teams, and adapt to evolving project requirements. Crucial soft skills for success in this role include effective problem-solving, communication, and teamwork.
If you’re keen on exploring a Full-stack Developer course in Chennai, I highly recommend considering Top Institutions like ACTE Technologies. They provide certification programs and job placement opportunities, guided by experienced instructors to enhance your learning journey. These resources are available both online and in person. Enrolling in a course step by step could prove to be a valuable decision if it aligns with your interests.
I trust this addresses your query adequately. If you have more questions or need further clarification, please feel free to ask in the comments section.
If you’ve found this information valuable, I invite you to follow me on this platform and give it an upvote to encourage more discussions and insights about Full-stack Development. Your time and engagement are greatly appreciated, and I wish you a wonderful day ahead.
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patel1234565 · 2 years ago
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Database Management
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Database management is a critical aspect of software development, and it involves designing, implementing, and maintaining databases to efficiently store and retrieve data. Here's a guide to database management:
1. Understand the Basics:
Relational Database Concepts:
Understand fundamental concepts such as tables, rows, columns, primary keys, foreign keys, normalization, and denormalization.
2. Database Design:
Entity-Relationship Diagram (ERD):
Create ER diagrams to visualize the relationships between different entities in the database.
Normalization:
Normalize the database to eliminate data redundancy and improve data integrity.
Denormalization:
Consider denormalization for optimizing query performance in certain scenarios.
3. Popular Database Management Systems (DBMS):
SQL-based (Relational) Databases:
MySQL, PostgreSQL, Oracle, Microsoft SQL Server.
NoSQL Databases:
MongoDB (document-oriented), Redis (key-value store), Cassandra (wide-column store), Neo4j (graph database).
4. Database Modeling:
Use a Modeling Tool:
Tools like MySQL Workbench, ERStudio, or draw.io can assist in visually designing your database schema.
5. SQL (Structured Query Language):
Basic SQL Commands:
Learn essential SQL commands for data manipulation (SELECT, INSERT, UPDATE, DELETE), data definition (CREATE, ALTER, DROP), and data control (GRANT, REVOKE).
Stored Procedures and Triggers:
Understand and use stored procedures and triggers for more complex and reusable database logic.
6. Database Administration:
User Management:
Create and manage user accounts with appropriate permissions.
Backup and Recovery:
Implement regular backup and recovery procedures to safeguard data.
Performance Tuning:
Optimize database performance through indexing, query optimization, and caching.
7. Database Security:
Authentication and Authorization:
Implement robust authentication and authorization mechanisms to control access to the database.
Encryption:
Use encryption for sensitive data both in transit and at rest.
8. ORM (Object-Relational Mapping):
Frameworks like SQLAlchemy (Python), Hibernate (Java), or Entity Framework (C#):
Learn how to use ORMs to map database entities to objects in your programming language.
9. Database Version Control:
Version Control for Database Schema:
Use tools like Flyway or Liquibase to version control your database schema.
10. Database Deployment:
Database Migrations:
Understand and implement database migration strategies for evolving your database schema over time.
DevOps Integration:
Integrate database changes into your CI/CD pipeline for seamless deployment.
11. Monitoring and Logging:
Database Monitoring Tools:
Use tools like Prometheus, Grafana, or native database monitoring features to track performance and detect issues.
Logging:
Implement logging to capture and analyze database-related events and errors.
12. Documentation:
Document Your Database:
Maintain clear and up-to-date documentation for your database schema, relationships, and data dictionaries.
13. Data Migration:
Tools like AWS Database Migration Service or Django Migrations:
Learn how to migrate data between databases or versions seamlessly.
14. NoSQL Database Considerations:
Understanding NoSQL Databases:
If using a NoSQL database, understand the specific characteristics and use cases for your chosen type (document store, key-value store, graph database).
15. Database Trends:
Explore New Technologies:
Stay updated on emerging database technologies, such as NewSQL databases, blockchain databases, and cloud-native databases.
Full Stack Development Training in pune
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tccicomputercoaching · 6 months ago
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Java 8 vs Java 11
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Java is a widely used language among developers around the globe. Its numerous updates and upgrades over time have made it endure in different industries. Between two of the most significant versions compared, developers frequently debate between Java 8 and Java 11. If you are a novice Java developer or looking to increase your knowledge, knowing how both compare is essential. At TCCI Computer Coaching Institute, we help you stay updated with the latest technologies, including Java development.
Key Features of Java 8
Released in March 2014, Java 8 brought revolutionary changes that redefined how developers write code. Here are some of its standout features:
Lambda Expressions: Introduced functional programming, allowing developers to write cleaner and more efficient code.
Stream API: Simplified data processing tasks by enabling functional-style operations on collections.
Default Methods: Made it possible for interfaces to have default implementations, thus increasing flexibility.
Date and Time API: Replaced the older java.util.Date and Calendar with a more intuitive java.time package.
Optional Class: Helped developers handle null values more effectively, thus reducing NullPointerException errors.
Key Features of Java 11
Java 11 was released in September 2018. It built on the foundation of Java 8 and introduced several performance improvements, security enhancements, and new features:
Local Variable Syntax for Lambda Parameters: Easier coding with improved type inference.
String Methods: There are many new methods like isBlank(), lines(), repeat() and many more, which made string manipulation easier.
HTTP Client API: A new standard API to send HTTP requests and receive responses, where HttpURLConnection is replaced.
Garbage Collection Enhancements: ZGC and other garbage collectors are improved for memory management.
Java Flight Recorder: A lightweight tool for profiling and diagnosing performance issues in Java applications.
Why Learn Java 11 Over Java 8?
Although Java 8 is still widely used, most enterprises have started migrating to Java 11 due to improved performance, security, and support for modern development practices. Learning Java 11 makes you well-prepared to work on current and future projects.
Java at TCCI
TCCI Computer Coaching Institute offers:
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Expert Trainers: Learn from industry professionals who have years of experience.
Learn in Flexi Mode: Both Online and Offline Classes to Suit your Schedule
Beginner to the Java 8 or Upgrade your skills to the latest Java 11, we support you in perfecting your java skills.
There are individual strengths of Java 8 and Java 11. While Java 8 implemented the extremely impacting features Lambda Expressions and Stream API, Java 11 polished this feature set, adding yet more instruments to boost your productivity as a developer. Choose between them based on the requirements of your project and your career goals.
Join TCCI today to stay ahead of the game in your career in programming and learn the latest about Java development.
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Call now on +91 9825618292
Get information from https://tccicomputercoaching.wordpress.com/
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yojoejava · 7 months ago
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The Most Complete 12 Step Review of the Dragonfly Haslab! | Yo Joe Java
https://www.youtube.com/watch?v=sST9LX3Hzfw Welcome to the most comprehensive 12 step review of the new Dragonfly Haslab! This review will cover virtually everything you can think of with the new Dragonfly. Here are all 12 steps: * Video (00:00) * Step 1 - Presentation (01:49) * Step 2 - Where to Buy It and How Much (04:55) * Step 3 - Unbox (09:17) * Step 4 - Build Dragonfly (14:17) * Step 5 - Missiles and Accessories (20:48) * Step 6 - Movement (26:59) * Step 7 - Lights (33:09) * Step 8.- Stickers (36:16) * Step 9 - Action Figures (38:37) * Step 10 - Display (43:48) * Step 11 - Compare Size and To Old Dragonfly (47:20) * Step 12 - Overall Grade and Evaluation (56:47) This will be awesome! Let's do it! ✅ Subscribe To My Channel For More Videos: https://www.youtube.com/@YoJoeJava/?sub_confirmation=1 ✅ Stay Connected With Me: 👉 Instagram: https://ift.tt/NDJdm5B 👉 Facebook: https://ift.tt/hyM4Ko8 ============================== ✅ Other Videos You Might Be Interested In Watching: 👉 Inside Dallas Fort Worth GI Joe Show 2024 - Full Event Review with Hasbro Icons | Yo Joe Java https://www.youtube.com/watch?v=kpIPuiPqrOI 👉 New Mezco GI Joe Firefly Figure - Unboxing and Honest Review | Yo Joe Java https://www.youtube.com/watch?v=gKO8fzSEL38 👉 New Three Zero Destro Unboxing - Detailed Review and Features | Yo Joe Java https://www.youtube.com/watch?v=Y-O6SazrS9c 👉 Unboxing New Scarlett Comic - First Female Gi Joe Spinoff Comic Unveiled | Yo Joe Java https://www.youtube.com/watch?v=lk4hrLlcUdE ============================= ✅ About Yo Joe Java: I collect GI Joe's! Welcome to the number one channel that is devoted to GI Joe! My name is Java and I have been a GI Joe fan since the age of six. Now I am 47 and I absolutely love collecting new and old GI Joe's and everything in between. There are two main things I am going to focus on. First I am going to go to many different toy shows and toy show conventions around the county that showcase GI Joe's and take you to them to experience them. Secondly I will also do GI Joe collectible reviews and give analysis on new and old GI Joe toys as well as comics! If this interests you, I hope that you will subscribe and watch my videos as I continue to post. I hope you are as excited as I am and I welcome you on my GI Joe journey! For collaboration and business inquiries, please use the contact information below: 📩 Email: [email protected] 🔔 Subscribe to my channel for more videos: https://www.youtube.com/@YoJoeJava/?sub_confirmation=1 ===================== #gijoe #gijoecollector #hasbro #gijoeretro #gijoecommunity #yojoe #toyreview #haslab #dragonfly #gijoedragonfly Disclaimer: We do not accept any liability for any loss or damage which is incurred from you acting or not acting as a result of reading any of our publications. You acknowledge that you use the information we provide at your own risk. Do your own research. Copyright Disclaimer: Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use © Yo Joe Java via Yo Joe Java https://www.youtube.com/channel/UCNCm4TfFASgZHbSs5mRt7bw November 16, 2024 at 08:00PM
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datavalleyai · 2 years ago
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30 Java Full Stack Developer interview questions for Freshers
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Are you an aspiring programmer seeking to start a professional journey as a Java Full Stack Developer? As you venture into the realm of web and software development, it is essential to equip yourself with the necessary skills and knowledge to effectively tackle the forthcoming challenges. Getting your first job as a Full Stack Developer is a big achievement, and to assist you, we have created a list of 30 Java Full Stack Developer interview questions specifically designed for beginners.
1. What is Java Full Stack Development?
Java Full Stack Development refers to the development of web applications using both front-end and back-end technologies, with Java as the primary programming language.
2. Explain the difference between front-end and back-end development.
Front-end development focuses on the user interface and client-side functionality, while back-end development deals with server-side logic and database interactions.
3. What are the key components of a typical web application stack?
A typical web application stack consists of a front-end framework (e.g., React, Angular), a back-end server (e.g., Spring Boot), and a database (e.g., MySQL).
4. What is Java Virtual Machine (JVM) and why is it important in Java development?
JVM is an essential part of Java that interprets Java bytecode and allows cross-platform compatibility. It plays a crucial role in running Java applications.
5. What is a servlet, and how does it relate to Java web development?
A servlet is a Java class used to extend the capabilities of servers and provide dynamic content. It is commonly used in Java web development to handle HTTP requests and responses.
6. Explain the Model-View-Controller (MVC) architectural pattern.
MVC is an architectural pattern that separates an application into three interconnected components: Model (data), View (user interface), and Controller (handles user input and updates the model and view).
7. What is Spring Framework, and how does it simplify Java development?
Spring is a popular Java framework that simplifies Java development by providing features like dependency injection, AOP, and MVC for building scalable and maintainable applications.
8. Describe RESTful web services and their importance in Java development.
RESTful web services are a way to build lightweight and scalable APIs using HTTP methods. They are essential for building modern web applications in Java.
9. What is Hibernate, and how does it relate to database interaction in Java?
Hibernate is an ORM (Object-Relational Mapping) framework that simplifies database interaction in Java by mapping Java objects to database tables.
10. Explain the concept of dependency injection in Spring.
Dependency injection is a design pattern used in Spring to manage component dependencies. It allows for loosely coupled and easily testable code by injecting dependencies rather than creating them.
11. What is a singleton pattern, and why is it relevant in Java development?
The singleton pattern ensures that a class has only one instance and provides a global point of access to that instance. It’s used to manage resources like database connections efficiently.
12. What is the difference between GET and POST HTTP methods?
GET is used for retrieving data from the server, while POST is used for sending data to the server for processing or storage.
13. What is SQL injection, and how can it be prevented in Java applications?
SQL injection is a security vulnerability where malicious SQL code is injected into user inputs. To prevent it, use parameterized queries and input validation.
14. Explain the purpose of a web container in Java EE applications.
A web container is responsible for managing the lifecycle of servlets and JSP pages in Java EE applications. (e.g., Tomcat)
15. What is a session in web applications, and how is it managed in Java?
A session is a mechanism to maintain user-specific data across multiple HTTP requests. In Java, sessions can be managed using cookies or URL rewriting.
16. What is the difference between forward and sendRedirect in servlets?
forward is used to forward the request and response objects to another resource within the same server, while sendRedirect sends a response with a new URL, causing a new request.
17. Explain the purpose of the @RequestMapping annotation in Spring MVC.
@RequestMapping is used to map a URL request to a specific controller method in Spring MVC, allowing for proper routing of requests.
18. What is a RESTful API endpoint, and how is it structured?
A RESTful API endpoint is a URL pattern that represents a resource and its actions. It typically follows a structured format, such as /resource/{id}.
19. What is CORS, and why is it important in web development?
CORS (Cross-Origin Resource Sharing) is a security feature that allows or restricts web pages in one domain from making requests to a different domain. It’s essential for security in web development.
20. What is the purpose of the web.xml file in Java web applications?
The web.xml file is a configuration file in Java web applications that defines servlets, filters, and their mappings, among other things.
21. Explain the concept of microservices and their advantages.
Microservices is an architectural style where an application is composed of small, independently deployable services. Advantages include scalability, maintainability, and flexibility.
22. What is Docker, and how does it facilitate deployment in Java development?
Docker is a containerization platform that allows developers to package applications and their dependencies into containers for consistent and efficient deployment.
23. What is the purpose of a version control system like Git in software development?
Git is used for tracking changes in code, collaborating with others, and maintaining a history of code revisions, which is essential for code management and collaboration.
24. How does Maven help in managing project dependencies in Java?
Maven is a build automation tool that simplifies the process of managing project dependencies, building projects, and producing artifacts.
25. What is the purpose of JUnit in Java development, and how is it used for testing?
JUnit is a testing framework used for writing and executing unit tests in Java. It ensures that individual components of the code function correctly.
26. Explain the concept of continuous integration (CI) and continuous delivery (CD).
CI involves regularly merging code changes into a shared repository, while CD automates the process of deploying code changes to production, ensuring a streamlined development workflow.
27. What is the Spring Boot framework, and how does it simplify Java application development?
Spring Boot is a framework that simplifies the setup and configuration of Spring applications, allowing developers to quickly build production-ready applications with minimal effort.
28. What are the key principles of the SOLID design principles in Java development?
SOLID is an acronym representing five design principles: Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, and Dependency Inversion. These principles promote clean and maintainable code.
29. What is the purpose of the @Autowired annotation in Spring?
@Autowired is used for automatic dependency injection in Spring, allowing Spring to automatically resolve and inject dependencies into a class.
30. How can you secure a Java web application against common security threats?
Secure a Java web application by implementing proper authentication, authorization, input validation, using encryption, and regularly updating dependencies to patch vulnerabilities.
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hiringjournal · 2 years ago
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How to Hire a Java Developer | Find Java Programmers
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In the present technology-driven era Java remains the cornerstone for software development. A wide range of applications are developed using Java due to it’s versatility and robustness. If you are looking to hire a Java developer you must be well aware of their hiring demand. A streamlined recruitment process can do the trick and therefore you must have a list of the must-ask Java developer interview questions. Bookmark this article where we will provide you with a checklist of the interview questions. 
Key Java Interview Questions to Ask When You Hire Developers
To make a well-informed hiring decision you must dive into the specifics of the interview process. To prepare for what Java interview questions to ask you must first have an outline of the candidate's background. For this evaluate their resume and work portfolio to gauge an understanding of their expertise, skill set, and competence. Align these insights with an understanding of your requirements and then ask the following questions:
Technical Interview Questions
The technical interview helps you evaluate a candidate’s programming skills and knowledge of Java. Asking the following Java coding interview questions helps you evaluate the technical acumen of the candidates:
Explain the significance of the “static” keyword in Java and it’s usage.
State the difference between JDK, JRE, and JVM in Java.
What is multithreading in Java and how can you achieve synchronization?
State the difference between ArrayList and LinkedList and when is it right to apply each of them.
What are SOLID principles and what’s their relation to Java development?
State the advantages and disadvantages of using Java’s Garbage Collection mechanism.
Provide an example of exception handling in Java using try-catch blocks.
What is the purpose of the “equals” and “hashCode” methods in Java?
Highlight the key differences between Java 8 and Java 11. Also, mention the impact of these changes on your development work.
Soft skills and compatibility
Additionally, apart from these theoretical core Java interview questions also give coding challenges to the candidates that help you evaluate their soft skills such as:
Problem-solving ability 
Coding expertise 
Ability to deal with challenges without hampering the deadlines 
Attention to detail
Organizational skills
Adaptability
Team spirit
Cultural fit
Experience and portfolio
Ask Java developer interview questions that encourage the candidates to share their previous work experience, challenges they have encountered, how they mitigated those problems, and how they contributed to the overall success of the project. Review their work portfolio and reach out to their references to gain insights related to their:
Coding style 
Quality
Commitment and reliability
Work ethic
Suitability for the role
Closing Words
Therefore, asking the right Java developer interview questions has a vital role to play in the success of your development project. By conducting a well-structured interview and asking relevant questions you can possess a valuable asset in your organization. 
Talent networks like Uplers can offer a streamlined hiring process with detailed interview in it’s rigorous 4-step vetting process. Find a qualified match in less than 2 weeks from a pre-vetted network of the top 3.5% Indian remote talent at up to 40% cost-saving. For more details check Uplers website. 
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hgllearn · 2 years ago
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Why to Choose Python for Data Science Master Course
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Choosing Python for a Data Science Master Course offers several compelling advantages that have made it the preferred language for data science and analysis. Here are some reasons why Python is a popular choice:
1. Ease of Learning and Readability: Python has a clean and easy-to-understand syntax that makes it approachable for beginners. Its code readability is often compared to pseudocode, which makes it convenient for both new and experienced programmers.
2. Rich Ecosystem of Libraries: Python boasts a vast collection of data science libraries and frameworks such as NumPy, pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, and PyTorch. These libraries provide tools for data manipulation, visualization, machine learning, deep learning, and more.
3. Community and Support: Python has a massive and active community of developers, data scientists, and researchers. This community support means you can easily find solutions to your problems, share knowledge, and collaborate with others.
4. Flexibility and Versatility: Python is a general-purpose programming language, meaning you can use it for a wide range of applications beyond data science. This versatility makes it valuable for transitioning between different projects and roles.
5. Interoperability: Python can seamlessly integrate with other languages like C, C++, and Java. This is particularly useful when working with existing codebases or utilizing specialized libraries in other languages.
6. Open Source and Free: Python is an open-source language, which means you won't need to worry about purchasing licenses or subscriptions. This affordability makes it accessible to students and professionals alike.
7. Data Visualization: Libraries like Matplotlib, Seaborn, and Plotly allow you to create visually appealing and informative graphs, charts, and plots to help you understand your data better and communicate your findings effectively.
8. Machine Learning and AI: With libraries like scikit-learn, TensorFlow, and PyTorch, Python is a go-to language for machine learning and artificial intelligence. You can build and train complex models efficiently, making it suitable for advanced data science projects.
9. Jupyter Notebooks: Python's integration with Jupyter Notebooks enables interactive and exploratory data analysis. You can combine code, visualizations, and explanatory text in a single document, making it easy to share and reproduce your analyses.
10. Career Opportunities: Python is in high demand in the job market, particularly in data science, machine learning, and artificial intelligence roles. Mastering Python can open doors to a wide range of exciting career opportunities.
11. Continuous Development: The Python language and its libraries are continually evolving, with regular updates and improvements. This ensures that you'll have access to the latest tools and features in the field of data science.
In summary, Python's ease of learning, extensive library ecosystem, community support, flexibility, and its applications across various domains make it an excellent choice for a Data Science Master Course. Its tools empower you to efficiently analyze, visualize, and model data, making it a valuable skill for anyone pursuing a career in data science or related fields.
HGL Learn is one of the Machine Learning in Hyderabad. We are providing professional educational services SAP training, Dotnet, Java, DevOps, Hadoop, Salesforce, Python, Core Java and other courses offered with a job orientation.
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fouryearsofshades · 2 years ago
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A Market Stall in Batavia, Andries Beeckman (attributed to), Albert Eckhout (rejected attribution), c. 1640 - c. 1666 
The Dutch and Malay inscriptions on the piece of paper in the lower right corner identify this as a Dutch painting of subjects studied on the spot. Most of the fruit varieties are found only in Indonesia, the former Dutch East Indies, and were not exported to Europe at the time. The combination of figures from different countries suggests that the setting is most probably the very cosmopolitan Batavia, modern-day Jakarta.8 A Chinese merchant, recognizable as such from his distinctive goatee, moustache and remarkably long fingernails, is counting coins in a fruit stall set off with bamboo partitions. Standing on the left is a woman wearing a typically Javanese sarong and kebaya and holding a small cigar in one hand while placing a durian upright with the other. A second Javanese woman in the middle is lifting a small bundle of leaf wrappers out of a small Japanese lacquered casket, probably betel leaves. A boy behind her is picking a banana from the bunch hanging on the right. A striking salmon-crested cockatoo (Cacatua moluccensis) is perched on the bamboo screen at the back.
Andries Beeckman went to great lengths to depict the huge diversity of tropical fruit as faithfully as possible, but he was clearly not a professional still-life painter. The different varieties are easily distinguished, but their textures are not convincing. Laid out on the table – some with numbers matching the list on the piece of paper (the latter are given between brackets below) – are, on the far left, from top to bottom, rambutans (Nephelium lappaceum, no. 1), langsats (Lansium domesticum, no. 3) and starfruit (Averrhoa carambola, no. 2). Beside them are a partly cut pomelo (Citrus maxima, no. 4) and durians, one of them sliced (Durio, no. 5). The three small pieces of red fruit at bottom left are water or Malay apples (Syzygium aqueum or Syzygium malaccense, no. 6) or Java apples (Syzygium samarangense), and lying to their right are mangoes (Mangifera indica, no. 7) and pineapples (Ananas comosus, no. 8). Below the two pineapples in the centre are jackfruit, one halved (Artocarpus Heteropyllus, no. 9) and several small mangosteens, some opened (Garcinia mangostana, no. 10). On the right are bananas (no. 11), five coconuts and a halved one (Cocos nucifera), and at the very front cashew apples (Anacardium occidentale). The fruit cut in two in the Japanese casket is probably a sort of lime called a Calamondin orange (Citrofortunella microcarpa).
The Rijksmuseum painting is a reduced version of a canvas from an anonymous series of scenes of foreign peoples and produce that decorated the walls of Schloss Pretzsch an der Elbe in Saxony until 1828 (fig. a).9 In the nineteenth century they were removed, first to Berlin and then to Schloss Schwedt an der Oder in Brandenburg.10 They were seen there in the 1930s by Thomsen, who rather hesitantly attributed them to Albert Eckhout and dated them around the middle of the seventeenth century.11 Schwedt was completely destroyed in the closing days of the Second World War, and all that is left of the works of art are pre-war black-and-white photographs making it clear that the attribution to Eckhout is untenable.12
The connection with the canvas from Schloss Pretzsch also led to this Market Stall in Batavia being wrongly attributed to Eckhout or his circle in the past.13 It is woodenly executed, compositionally clumsy, and is not of the kind of Brazilian subject for which Eckhout is known. Minor differences between the two paintings show that they were not copied after each other but seem to share the same or a similar source. The way in which the fruit and cockatoo are depicted displays a clear resemblance to the only known still life by Andries Beeckman (fig. b), and, interestingly, one of the scenes from the series in Pretzsch castle was definitely based on watercolours by him,14 so the present canvas could also be by Beeckman or someone from his circle.
Very little is known about the picture’s provenance, although there are a few early records of an Indonesian fruit market, and since A Market Stall in Batavia is the only surviving work of that nature there is a great temptation to associate it with those early sources. There is, however, nothing that can be said for certain. Around 1660 Jan Vos wrote an ode about paintings in the collection of Joan Huydecooper, among them an ‘East Indies fruit market’: ‘Who has driven me from the north to the east? / I find myself in the market of the East Indies coast. / Here nature displays her fruit as food for life. / The sight makes my mouth desire the beautiful harvest, / Thus is my stomach now sorely overburdened. / Greedy eyes are not soon satiated’.15 It may well be that the poet was referring to the Rijksmuseum canvas.16 There is a second mention of an ‘East Indies fruit market’ a little later in the collection of burgomaster Mattheus van den Broucke of Dordrecht.17 It is far from obvious that it refers to this Market Stall in Batavia. His picture was one of a series of which the others were described as ‘One ditto, with East Indies animals and fruit’, ‘One ditto, being East Indies lodgings, ‘One ditto’, ‘Three ditto, East Indies women’ and ‘A Moorish woman’.18 It is very possible that the Rijksmuseum painting was also part of a larger ensemble of that kind.
Erlend de Groot, 2022
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