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Christopher D.

@delahoussayec

monthly-level-two.svg
5,0
15
3,8
3,8
94%

Full stack web & mobile developer & UI/UX designer

$40 USD / hora
・
Bandera de
Canada (5:22 p. m.)
・
Se unió el abril 22, 2021
$40 USD / hora
・
Hi there I'm Christopher, a web designer and mobile developer with more than 4 years of experience. I can help you as a professional in these skills: • Product Designer: A creative visionary crafting intuitive user experiences and cohesive brand identities. Known for innovative solutions and a keen eye for detail. • Back-End Developer: Skilled in Php, Laravel, Docker, Django, Python, Linux, and deploying secure, high-performance applications. Experienced in building scalable APIs and writing clean, efficient code. • Front-End Developer: Expert in creating responsive and dynamic interfaces using React and Next js. Specialized in vue and nuxt js • Flutter Developer: Specialized in designing attractive and responsive user interfaces with a marketing perspective to optimize application flow. Over 200,000 downloads of designed applications in international markets. Experienced in integrating third-party APIs, implementing state management solutions, and utilizing various Firebase services, maintainable code focusing on performance and scalability. Passionate about creating seamless user experiences and continuously learning about the latest Flutter and Dart trends. • QA Engineer: Skilled in developing robust automated and manual testing solutions using tools like Playwright, Cypress, Appium, Selenium, JMeter, and K6. Proficient in API automation, writing coverage-based test cases, and creating detailed documentation to ensure high software quality and reliability. Passionate about enhancing testing efficiency, improving product performance, and delivering seamless user experiences through meticulous testing strategies. Together, we bring a comprehensive approach to every project, ensuring seamless integration between design and development. We’ve successfully delivered projects for clients in various industries, including tech startups, e-commerce, and healthcare. Let’s collaborate to bring your vision to life with our combined expertise!
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A tiempo
100 %
Dentro del presupuesto
100 %
Aceptar tarifa
54 %
Tasa de recontratación
15 %
Freelancer Web Developers Canada
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Portafolio

Portafolio

12427700
This project aims to scrape data for the Most Popular Movies of 2024 from the IMDb website. The data will be collected from the following URL: IMDb Most Popular Movies 2024. The program will run every 5 seconds using the schedule library to continuously fetch the most up-to-date movie information. The scraped data will be saved in a CSV/Excel file for future reference. Libraries Used: BeautifulSoup (bs4) requests time schedule pandas
aims to scrape data
This project aims to scrape data for the Most Popular Movies of 2024 from the IMDb website. The data will be collected from the following URL: IMDb Most Popular Movies 2024. The program will run every 5 seconds using the schedule library to continuously fetch the most up-to-date movie information. The scraped data will be saved in a CSV/Excel file for future reference. Libraries Used: BeautifulSoup (bs4) requests time schedule pandas
aims to scrape data
This project aims to scrape data for the Most Popular Movies of 2024 from the IMDb website. The data will be collected from the following URL: IMDb Most Popular Movies 2024. The program will run every 5 seconds using the schedule library to continuously fetch the most up-to-date movie information. The scraped data will be saved in a CSV/Excel file for future reference. Libraries Used: BeautifulSoup (bs4) requests time schedule pandas
aims to scrape data
12427686
This project involves scraping data from a bookstore website, including the title, price, and ranking of books. It also downloads the images of the books and saves them using the book's name, which is specified in the src attribute of the <img> tag in the HTML content. Libraries used: os requests BeautifulSoup (bs4) pandas urllib.parse All images are saved in a folder called "images," which is created programmatically within the project’s folder. For testing the project, I scraped data from the first 5 pages, fetched the desired information, and saved the corresponding book images.
scraping data from a bookstore
This project involves scraping data from a bookstore website, including the title, price, and ranking of books. It also downloads the images of the books and saves them using the book's name, which is specified in the src attribute of the <img> tag in the HTML content. Libraries used: os requests BeautifulSoup (bs4) pandas urllib.parse All images are saved in a folder called "images," which is created programmatically within the project’s folder. For testing the project, I scraped data from the first 5 pages, fetched the desired information, and saved the corresponding book images.
scraping data from a bookstore
This project involves scraping data from a bookstore website, including the title, price, and ranking of books. It also downloads the images of the books and saves them using the book's name, which is specified in the src attribute of the <img> tag in the HTML content. Libraries used: os requests BeautifulSoup (bs4) pandas urllib.parse All images are saved in a folder called "images," which is created programmatically within the project’s folder. For testing the project, I scraped data from the first 5 pages, fetched the desired information, and saved the corresponding book images.
scraping data from a bookstore
This project involves scraping data from a bookstore website, including the title, price, and ranking of books. It also downloads the images of the books and saves them using the book's name, which is specified in the src attribute of the <img> tag in the HTML content. Libraries used: os requests BeautifulSoup (bs4) pandas urllib.parse All images are saved in a folder called "images," which is created programmatically within the project’s folder. For testing the project, I scraped data from the first 5 pages, fetched the desired information, and saved the corresponding book images.
scraping data from a bookstore
This project involves scraping data from a bookstore website, including the title, price, and ranking of books. It also downloads the images of the books and saves them using the book's name, which is specified in the src attribute of the <img> tag in the HTML content. Libraries used: os requests BeautifulSoup (bs4) pandas urllib.parse All images are saved in a folder called "images," which is created programmatically within the project’s folder. For testing the project, I scraped data from the first 5 pages, fetched the desired information, and saved the corresponding book images.
scraping data from a bookstore
12427661
Phase 1: Collect statistical data for each country, including Population, World Share, and Land Area, available at this link: https://www.worldometers.info/geography/how-many-countries-are-there-in-the-world/. Phase 2: Using the list of countries from Phase 1 (sorted by population), gather Coronavirus data for each country, including Cases, Deaths, and Recovered statistics, available at this link: https://www.worldometers.info/coronavirus/country/india/ (Example: India). Finally, merge all the collected data and export it to an Excel or CSV file. Project Outcome: Using libraries such as BeautifulSoup, Requests, and Pandas, I fetched statistical data for the first phase of the project. I created two lists: one for column titles and the other for each country's corresponding data. For gathering Coronavirus information in Phase 2, I used a for loop to iterate over the list of country names generated in the first phase. Since the titles of the data need to be fetched only once, I create
This project involves scraping data
Phase 1: Collect statistical data for each country, including Population, World Share, and Land Area, available at this link: https://www.worldometers.info/geography/how-many-countries-are-there-in-the-world/. Phase 2: Using the list of countries from Phase 1 (sorted by population), gather Coronavirus data for each country, including Cases, Deaths, and Recovered statistics, available at this link: https://www.worldometers.info/coronavirus/country/india/ (Example: India). Finally, merge all the collected data and export it to an Excel or CSV file. Project Outcome: Using libraries such as BeautifulSoup, Requests, and Pandas, I fetched statistical data for the first phase of the project. I created two lists: one for column titles and the other for each country's corresponding data. For gathering Coronavirus information in Phase 2, I used a for loop to iterate over the list of country names generated in the first phase. Since the titles of the data need to be fetched only once, I create
This project involves scraping data
Phase 1: Collect statistical data for each country, including Population, World Share, and Land Area, available at this link: https://www.worldometers.info/geography/how-many-countries-are-there-in-the-world/. Phase 2: Using the list of countries from Phase 1 (sorted by population), gather Coronavirus data for each country, including Cases, Deaths, and Recovered statistics, available at this link: https://www.worldometers.info/coronavirus/country/india/ (Example: India). Finally, merge all the collected data and export it to an Excel or CSV file. Project Outcome: Using libraries such as BeautifulSoup, Requests, and Pandas, I fetched statistical data for the first phase of the project. I created two lists: one for column titles and the other for each country's corresponding data. For gathering Coronavirus information in Phase 2, I used a for loop to iterate over the list of country names generated in the first phase. Since the titles of the data need to be fetched only once, I create
This project involves scraping data
Phase 1: Collect statistical data for each country, including Population, World Share, and Land Area, available at this link: https://www.worldometers.info/geography/how-many-countries-are-there-in-the-world/. Phase 2: Using the list of countries from Phase 1 (sorted by population), gather Coronavirus data for each country, including Cases, Deaths, and Recovered statistics, available at this link: https://www.worldometers.info/coronavirus/country/india/ (Example: India). Finally, merge all the collected data and export it to an Excel or CSV file. Project Outcome: Using libraries such as BeautifulSoup, Requests, and Pandas, I fetched statistical data for the first phase of the project. I created two lists: one for column titles and the other for each country's corresponding data. For gathering Coronavirus information in Phase 2, I used a for loop to iterate over the list of country names generated in the first phase. Since the titles of the data need to be fetched only once, I create
This project involves scraping data
12427630
The LoginPage class automates and validates various login functionalities using Playwright. It includes methods to perform successful logins, handle errors with toast messages, and validate logout workflows. Additional features include password recovery, account creation, and social sign-in via Apple and Google, with proper URL validation and multi-page handling for pop-ups. The class ensures robust error handling and UI flow verification, making it a versatile tool for testing login processes. RegistrationPage Code The RegistrationPage class streamlines the automation and validation of user registration workflows. It includes methods to fill and submit the registration form, ensuring the visibility and functionality of input fields (first name, last name, email, and password). Additional features include validating error messages for invalid inputs, checking button states (enabled/disabled), and managing optional actions like subscribing to a newsletter. This class is a comprehensive
LoginPage and RegistrationPage
The LoginPage class automates and validates various login functionalities using Playwright. It includes methods to perform successful logins, handle errors with toast messages, and validate logout workflows. Additional features include password recovery, account creation, and social sign-in via Apple and Google, with proper URL validation and multi-page handling for pop-ups. The class ensures robust error handling and UI flow verification, making it a versatile tool for testing login processes. RegistrationPage Code The RegistrationPage class streamlines the automation and validation of user registration workflows. It includes methods to fill and submit the registration form, ensuring the visibility and functionality of input fields (first name, last name, email, and password). Additional features include validating error messages for invalid inputs, checking button states (enabled/disabled), and managing optional actions like subscribing to a newsletter. This class is a comprehensive
LoginPage and RegistrationPage
The LoginPage class automates and validates various login functionalities using Playwright. It includes methods to perform successful logins, handle errors with toast messages, and validate logout workflows. Additional features include password recovery, account creation, and social sign-in via Apple and Google, with proper URL validation and multi-page handling for pop-ups. The class ensures robust error handling and UI flow verification, making it a versatile tool for testing login processes. RegistrationPage Code The RegistrationPage class streamlines the automation and validation of user registration workflows. It includes methods to fill and submit the registration form, ensuring the visibility and functionality of input fields (first name, last name, email, and password). Additional features include validating error messages for invalid inputs, checking button states (enabled/disabled), and managing optional actions like subscribing to a newsletter. This class is a comprehensive
LoginPage and RegistrationPage
The LoginPage class automates and validates various login functionalities using Playwright. It includes methods to perform successful logins, handle errors with toast messages, and validate logout workflows. Additional features include password recovery, account creation, and social sign-in via Apple and Google, with proper URL validation and multi-page handling for pop-ups. The class ensures robust error handling and UI flow verification, making it a versatile tool for testing login processes. RegistrationPage Code The RegistrationPage class streamlines the automation and validation of user registration workflows. It includes methods to fill and submit the registration form, ensuring the visibility and functionality of input fields (first name, last name, email, and password). Additional features include validating error messages for invalid inputs, checking button states (enabled/disabled), and managing optional actions like subscribing to a newsletter. This class is a comprehensive
LoginPage and RegistrationPage
12427619
This project demonstrates advanced API automation for e-commerce workflows, showcasing my expertise in testing and automation. It includes dynamically managing environment configurations, securely retrieving and handling authentication tokens, and automating critical API interactions. The automation covers creating orders by adding items to the shopping cart, calculating dynamic shipping times, and sending POST requests with robust payloads and headers. The workflow ensures proper order creation with detailed assertions validating successful responses and returned data. Additionally, the project automates order payment via wallet integration, complete with precondition checks to prevent invalid operations. Modular design and reusable functions (e.g., getOrderId, PayOrderWithWallet) enhance scalability and adaptability across environments like staging and production. This implementation highlights skills in API testing, error handling, and building maintainable, real-world automation so
API Automation for Order Management
This project demonstrates advanced API automation for e-commerce workflows, showcasing my expertise in testing and automation. It includes dynamically managing environment configurations, securely retrieving and handling authentication tokens, and automating critical API interactions. The automation covers creating orders by adding items to the shopping cart, calculating dynamic shipping times, and sending POST requests with robust payloads and headers. The workflow ensures proper order creation with detailed assertions validating successful responses and returned data. Additionally, the project automates order payment via wallet integration, complete with precondition checks to prevent invalid operations. Modular design and reusable functions (e.g., getOrderId, PayOrderWithWallet) enhance scalability and adaptability across environments like staging and production. This implementation highlights skills in API testing, error handling, and building maintainable, real-world automation so
API Automation for Order Management
This project demonstrates advanced API automation for e-commerce workflows, showcasing my expertise in testing and automation. It includes dynamically managing environment configurations, securely retrieving and handling authentication tokens, and automating critical API interactions. The automation covers creating orders by adding items to the shopping cart, calculating dynamic shipping times, and sending POST requests with robust payloads and headers. The workflow ensures proper order creation with detailed assertions validating successful responses and returned data. Additionally, the project automates order payment via wallet integration, complete with precondition checks to prevent invalid operations. Modular design and reusable functions (e.g., getOrderId, PayOrderWithWallet) enhance scalability and adaptability across environments like staging and production. This implementation highlights skills in API testing, error handling, and building maintainable, real-world automation so
API Automation for Order Management
This project demonstrates advanced API automation for e-commerce workflows, showcasing my expertise in testing and automation. It includes dynamically managing environment configurations, securely retrieving and handling authentication tokens, and automating critical API interactions. The automation covers creating orders by adding items to the shopping cart, calculating dynamic shipping times, and sending POST requests with robust payloads and headers. The workflow ensures proper order creation with detailed assertions validating successful responses and returned data. Additionally, the project automates order payment via wallet integration, complete with precondition checks to prevent invalid operations. Modular design and reusable functions (e.g., getOrderId, PayOrderWithWallet) enhance scalability and adaptability across environments like staging and production. This implementation highlights skills in API testing, error handling, and building maintainable, real-world automation so
API Automation for Order Management
12270067
MoneyNest's financial dashboard provides users with a clean and intuitive interface to monitor financial markets. Including stock prices and performance of cryptocurrencies. With real-time updates Solving the main challenges: - Simplified data visualization: Complex financial data is presented through easy-to-understand charts. make it easy to understand - Real-time insights: Users get live updates on market movements to stay informed. - Streamlined Navigation: This feature is achieved through a simple interface. It ensures easy interaction. - Clear data hierarchy: Key metrics are prioritized to draw users' attention to the information they need.
MoneyNest Dashboard
MoneyNest's financial dashboard provides users with a clean and intuitive interface to monitor financial markets. Including stock prices and performance of cryptocurrencies. With real-time updates Solving the main challenges: - Simplified data visualization: Complex financial data is presented through easy-to-understand charts. make it easy to understand - Real-time insights: Users get live updates on market movements to stay informed. - Streamlined Navigation: This feature is achieved through a simple interface. It ensures easy interaction. - Clear data hierarchy: Key metrics are prioritized to draw users' attention to the information they need.
MoneyNest Dashboard
MoneyNest's financial dashboard provides users with a clean and intuitive interface to monitor financial markets. Including stock prices and performance of cryptocurrencies. With real-time updates Solving the main challenges: - Simplified data visualization: Complex financial data is presented through easy-to-understand charts. make it easy to understand - Real-time insights: Users get live updates on market movements to stay informed. - Streamlined Navigation: This feature is achieved through a simple interface. It ensures easy interaction. - Clear data hierarchy: Key metrics are prioritized to draw users' attention to the information they need.
MoneyNest Dashboard
MoneyNest's financial dashboard provides users with a clean and intuitive interface to monitor financial markets. Including stock prices and performance of cryptocurrencies. With real-time updates Solving the main challenges: - Simplified data visualization: Complex financial data is presented through easy-to-understand charts. make it easy to understand - Real-time insights: Users get live updates on market movements to stay informed. - Streamlined Navigation: This feature is achieved through a simple interface. It ensures easy interaction. - Clear data hierarchy: Key metrics are prioritized to draw users' attention to the information they need.
MoneyNest Dashboard
MoneyNest's financial dashboard provides users with a clean and intuitive interface to monitor financial markets. Including stock prices and performance of cryptocurrencies. With real-time updates Solving the main challenges: - Simplified data visualization: Complex financial data is presented through easy-to-understand charts. make it easy to understand - Real-time insights: Users get live updates on market movements to stay informed. - Streamlined Navigation: This feature is achieved through a simple interface. It ensures easy interaction. - Clear data hierarchy: Key metrics are prioritized to draw users' attention to the information they need.
MoneyNest Dashboard
12427700
This project aims to scrape data for the Most Popular Movies of 2024 from the IMDb website. The data will be collected from the following URL: IMDb Most Popular Movies 2024. The program will run every 5 seconds using the schedule library to continuously fetch the most up-to-date movie information. The scraped data will be saved in a CSV/Excel file for future reference. Libraries Used: BeautifulSoup (bs4) requests time schedule pandas
aims to scrape data
This project aims to scrape data for the Most Popular Movies of 2024 from the IMDb website. The data will be collected from the following URL: IMDb Most Popular Movies 2024. The program will run every 5 seconds using the schedule library to continuously fetch the most up-to-date movie information. The scraped data will be saved in a CSV/Excel file for future reference. Libraries Used: BeautifulSoup (bs4) requests time schedule pandas
aims to scrape data
This project aims to scrape data for the Most Popular Movies of 2024 from the IMDb website. The data will be collected from the following URL: IMDb Most Popular Movies 2024. The program will run every 5 seconds using the schedule library to continuously fetch the most up-to-date movie information. The scraped data will be saved in a CSV/Excel file for future reference. Libraries Used: BeautifulSoup (bs4) requests time schedule pandas
aims to scrape data
12427686
This project involves scraping data from a bookstore website, including the title, price, and ranking of books. It also downloads the images of the books and saves them using the book's name, which is specified in the src attribute of the <img> tag in the HTML content. Libraries used: os requests BeautifulSoup (bs4) pandas urllib.parse All images are saved in a folder called "images," which is created programmatically within the project’s folder. For testing the project, I scraped data from the first 5 pages, fetched the desired information, and saved the corresponding book images.
scraping data from a bookstore
This project involves scraping data from a bookstore website, including the title, price, and ranking of books. It also downloads the images of the books and saves them using the book's name, which is specified in the src attribute of the <img> tag in the HTML content. Libraries used: os requests BeautifulSoup (bs4) pandas urllib.parse All images are saved in a folder called "images," which is created programmatically within the project’s folder. For testing the project, I scraped data from the first 5 pages, fetched the desired information, and saved the corresponding book images.
scraping data from a bookstore
This project involves scraping data from a bookstore website, including the title, price, and ranking of books. It also downloads the images of the books and saves them using the book's name, which is specified in the src attribute of the <img> tag in the HTML content. Libraries used: os requests BeautifulSoup (bs4) pandas urllib.parse All images are saved in a folder called "images," which is created programmatically within the project’s folder. For testing the project, I scraped data from the first 5 pages, fetched the desired information, and saved the corresponding book images.
scraping data from a bookstore
This project involves scraping data from a bookstore website, including the title, price, and ranking of books. It also downloads the images of the books and saves them using the book's name, which is specified in the src attribute of the <img> tag in the HTML content. Libraries used: os requests BeautifulSoup (bs4) pandas urllib.parse All images are saved in a folder called "images," which is created programmatically within the project’s folder. For testing the project, I scraped data from the first 5 pages, fetched the desired information, and saved the corresponding book images.
scraping data from a bookstore
This project involves scraping data from a bookstore website, including the title, price, and ranking of books. It also downloads the images of the books and saves them using the book's name, which is specified in the src attribute of the <img> tag in the HTML content. Libraries used: os requests BeautifulSoup (bs4) pandas urllib.parse All images are saved in a folder called "images," which is created programmatically within the project’s folder. For testing the project, I scraped data from the first 5 pages, fetched the desired information, and saved the corresponding book images.
scraping data from a bookstore
12427661
Phase 1: Collect statistical data for each country, including Population, World Share, and Land Area, available at this link: https://www.worldometers.info/geography/how-many-countries-are-there-in-the-world/. Phase 2: Using the list of countries from Phase 1 (sorted by population), gather Coronavirus data for each country, including Cases, Deaths, and Recovered statistics, available at this link: https://www.worldometers.info/coronavirus/country/india/ (Example: India). Finally, merge all the collected data and export it to an Excel or CSV file. Project Outcome: Using libraries such as BeautifulSoup, Requests, and Pandas, I fetched statistical data for the first phase of the project. I created two lists: one for column titles and the other for each country's corresponding data. For gathering Coronavirus information in Phase 2, I used a for loop to iterate over the list of country names generated in the first phase. Since the titles of the data need to be fetched only once, I create
This project involves scraping data
Phase 1: Collect statistical data for each country, including Population, World Share, and Land Area, available at this link: https://www.worldometers.info/geography/how-many-countries-are-there-in-the-world/. Phase 2: Using the list of countries from Phase 1 (sorted by population), gather Coronavirus data for each country, including Cases, Deaths, and Recovered statistics, available at this link: https://www.worldometers.info/coronavirus/country/india/ (Example: India). Finally, merge all the collected data and export it to an Excel or CSV file. Project Outcome: Using libraries such as BeautifulSoup, Requests, and Pandas, I fetched statistical data for the first phase of the project. I created two lists: one for column titles and the other for each country's corresponding data. For gathering Coronavirus information in Phase 2, I used a for loop to iterate over the list of country names generated in the first phase. Since the titles of the data need to be fetched only once, I create
This project involves scraping data
Phase 1: Collect statistical data for each country, including Population, World Share, and Land Area, available at this link: https://www.worldometers.info/geography/how-many-countries-are-there-in-the-world/. Phase 2: Using the list of countries from Phase 1 (sorted by population), gather Coronavirus data for each country, including Cases, Deaths, and Recovered statistics, available at this link: https://www.worldometers.info/coronavirus/country/india/ (Example: India). Finally, merge all the collected data and export it to an Excel or CSV file. Project Outcome: Using libraries such as BeautifulSoup, Requests, and Pandas, I fetched statistical data for the first phase of the project. I created two lists: one for column titles and the other for each country's corresponding data. For gathering Coronavirus information in Phase 2, I used a for loop to iterate over the list of country names generated in the first phase. Since the titles of the data need to be fetched only once, I create
This project involves scraping data
Phase 1: Collect statistical data for each country, including Population, World Share, and Land Area, available at this link: https://www.worldometers.info/geography/how-many-countries-are-there-in-the-world/. Phase 2: Using the list of countries from Phase 1 (sorted by population), gather Coronavirus data for each country, including Cases, Deaths, and Recovered statistics, available at this link: https://www.worldometers.info/coronavirus/country/india/ (Example: India). Finally, merge all the collected data and export it to an Excel or CSV file. Project Outcome: Using libraries such as BeautifulSoup, Requests, and Pandas, I fetched statistical data for the first phase of the project. I created two lists: one for column titles and the other for each country's corresponding data. For gathering Coronavirus information in Phase 2, I used a for loop to iterate over the list of country names generated in the first phase. Since the titles of the data need to be fetched only once, I create
This project involves scraping data
12427630
The LoginPage class automates and validates various login functionalities using Playwright. It includes methods to perform successful logins, handle errors with toast messages, and validate logout workflows. Additional features include password recovery, account creation, and social sign-in via Apple and Google, with proper URL validation and multi-page handling for pop-ups. The class ensures robust error handling and UI flow verification, making it a versatile tool for testing login processes. RegistrationPage Code The RegistrationPage class streamlines the automation and validation of user registration workflows. It includes methods to fill and submit the registration form, ensuring the visibility and functionality of input fields (first name, last name, email, and password). Additional features include validating error messages for invalid inputs, checking button states (enabled/disabled), and managing optional actions like subscribing to a newsletter. This class is a comprehensive
LoginPage and RegistrationPage
The LoginPage class automates and validates various login functionalities using Playwright. It includes methods to perform successful logins, handle errors with toast messages, and validate logout workflows. Additional features include password recovery, account creation, and social sign-in via Apple and Google, with proper URL validation and multi-page handling for pop-ups. The class ensures robust error handling and UI flow verification, making it a versatile tool for testing login processes. RegistrationPage Code The RegistrationPage class streamlines the automation and validation of user registration workflows. It includes methods to fill and submit the registration form, ensuring the visibility and functionality of input fields (first name, last name, email, and password). Additional features include validating error messages for invalid inputs, checking button states (enabled/disabled), and managing optional actions like subscribing to a newsletter. This class is a comprehensive
LoginPage and RegistrationPage
The LoginPage class automates and validates various login functionalities using Playwright. It includes methods to perform successful logins, handle errors with toast messages, and validate logout workflows. Additional features include password recovery, account creation, and social sign-in via Apple and Google, with proper URL validation and multi-page handling for pop-ups. The class ensures robust error handling and UI flow verification, making it a versatile tool for testing login processes. RegistrationPage Code The RegistrationPage class streamlines the automation and validation of user registration workflows. It includes methods to fill and submit the registration form, ensuring the visibility and functionality of input fields (first name, last name, email, and password). Additional features include validating error messages for invalid inputs, checking button states (enabled/disabled), and managing optional actions like subscribing to a newsletter. This class is a comprehensive
LoginPage and RegistrationPage
The LoginPage class automates and validates various login functionalities using Playwright. It includes methods to perform successful logins, handle errors with toast messages, and validate logout workflows. Additional features include password recovery, account creation, and social sign-in via Apple and Google, with proper URL validation and multi-page handling for pop-ups. The class ensures robust error handling and UI flow verification, making it a versatile tool for testing login processes. RegistrationPage Code The RegistrationPage class streamlines the automation and validation of user registration workflows. It includes methods to fill and submit the registration form, ensuring the visibility and functionality of input fields (first name, last name, email, and password). Additional features include validating error messages for invalid inputs, checking button states (enabled/disabled), and managing optional actions like subscribing to a newsletter. This class is a comprehensive
LoginPage and RegistrationPage
12427619
This project demonstrates advanced API automation for e-commerce workflows, showcasing my expertise in testing and automation. It includes dynamically managing environment configurations, securely retrieving and handling authentication tokens, and automating critical API interactions. The automation covers creating orders by adding items to the shopping cart, calculating dynamic shipping times, and sending POST requests with robust payloads and headers. The workflow ensures proper order creation with detailed assertions validating successful responses and returned data. Additionally, the project automates order payment via wallet integration, complete with precondition checks to prevent invalid operations. Modular design and reusable functions (e.g., getOrderId, PayOrderWithWallet) enhance scalability and adaptability across environments like staging and production. This implementation highlights skills in API testing, error handling, and building maintainable, real-world automation so
API Automation for Order Management
This project demonstrates advanced API automation for e-commerce workflows, showcasing my expertise in testing and automation. It includes dynamically managing environment configurations, securely retrieving and handling authentication tokens, and automating critical API interactions. The automation covers creating orders by adding items to the shopping cart, calculating dynamic shipping times, and sending POST requests with robust payloads and headers. The workflow ensures proper order creation with detailed assertions validating successful responses and returned data. Additionally, the project automates order payment via wallet integration, complete with precondition checks to prevent invalid operations. Modular design and reusable functions (e.g., getOrderId, PayOrderWithWallet) enhance scalability and adaptability across environments like staging and production. This implementation highlights skills in API testing, error handling, and building maintainable, real-world automation so
API Automation for Order Management
This project demonstrates advanced API automation for e-commerce workflows, showcasing my expertise in testing and automation. It includes dynamically managing environment configurations, securely retrieving and handling authentication tokens, and automating critical API interactions. The automation covers creating orders by adding items to the shopping cart, calculating dynamic shipping times, and sending POST requests with robust payloads and headers. The workflow ensures proper order creation with detailed assertions validating successful responses and returned data. Additionally, the project automates order payment via wallet integration, complete with precondition checks to prevent invalid operations. Modular design and reusable functions (e.g., getOrderId, PayOrderWithWallet) enhance scalability and adaptability across environments like staging and production. This implementation highlights skills in API testing, error handling, and building maintainable, real-world automation so
API Automation for Order Management
This project demonstrates advanced API automation for e-commerce workflows, showcasing my expertise in testing and automation. It includes dynamically managing environment configurations, securely retrieving and handling authentication tokens, and automating critical API interactions. The automation covers creating orders by adding items to the shopping cart, calculating dynamic shipping times, and sending POST requests with robust payloads and headers. The workflow ensures proper order creation with detailed assertions validating successful responses and returned data. Additionally, the project automates order payment via wallet integration, complete with precondition checks to prevent invalid operations. Modular design and reusable functions (e.g., getOrderId, PayOrderWithWallet) enhance scalability and adaptability across environments like staging and production. This implementation highlights skills in API testing, error handling, and building maintainable, real-world automation so
API Automation for Order Management
12270067
MoneyNest's financial dashboard provides users with a clean and intuitive interface to monitor financial markets. Including stock prices and performance of cryptocurrencies. With real-time updates Solving the main challenges: - Simplified data visualization: Complex financial data is presented through easy-to-understand charts. make it easy to understand - Real-time insights: Users get live updates on market movements to stay informed. - Streamlined Navigation: This feature is achieved through a simple interface. It ensures easy interaction. - Clear data hierarchy: Key metrics are prioritized to draw users' attention to the information they need.
MoneyNest Dashboard
MoneyNest's financial dashboard provides users with a clean and intuitive interface to monitor financial markets. Including stock prices and performance of cryptocurrencies. With real-time updates Solving the main challenges: - Simplified data visualization: Complex financial data is presented through easy-to-understand charts. make it easy to understand - Real-time insights: Users get live updates on market movements to stay informed. - Streamlined Navigation: This feature is achieved through a simple interface. It ensures easy interaction. - Clear data hierarchy: Key metrics are prioritized to draw users' attention to the information they need.
MoneyNest Dashboard
MoneyNest's financial dashboard provides users with a clean and intuitive interface to monitor financial markets. Including stock prices and performance of cryptocurrencies. With real-time updates Solving the main challenges: - Simplified data visualization: Complex financial data is presented through easy-to-understand charts. make it easy to understand - Real-time insights: Users get live updates on market movements to stay informed. - Streamlined Navigation: This feature is achieved through a simple interface. It ensures easy interaction. - Clear data hierarchy: Key metrics are prioritized to draw users' attention to the information they need.
MoneyNest Dashboard
MoneyNest's financial dashboard provides users with a clean and intuitive interface to monitor financial markets. Including stock prices and performance of cryptocurrencies. With real-time updates Solving the main challenges: - Simplified data visualization: Complex financial data is presented through easy-to-understand charts. make it easy to understand - Real-time insights: Users get live updates on market movements to stay informed. - Streamlined Navigation: This feature is achieved through a simple interface. It ensures easy interaction. - Clear data hierarchy: Key metrics are prioritized to draw users' attention to the information they need.
MoneyNest Dashboard
MoneyNest's financial dashboard provides users with a clean and intuitive interface to monitor financial markets. Including stock prices and performance of cryptocurrencies. With real-time updates Solving the main challenges: - Simplified data visualization: Complex financial data is presented through easy-to-understand charts. make it easy to understand - Real-time insights: Users get live updates on market movements to stay informed. - Streamlined Navigation: This feature is achieved through a simple interface. It ensures easy interaction. - Clear data hierarchy: Key metrics are prioritized to draw users' attention to the information they need.
MoneyNest Dashboard
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Python/Django Project Deployment & API Integration • $29 USD
He is smart and friendly; I highly recommend working with him. He is focused on assisting and solving issues, with a strong ability to understand and explain situations clearly. His high level of understanding is a real advantage, allowing him to work perfectly. Thank you!
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Site Scraping Information for Football Clubs • $25 USD
The project is not completed according to the dispute
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Html Contact Form • $20 USD
Chris is a professional at what he does, i will definitely work with him again.
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hace 3 años
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Display live video from a public site on my webpage • $15 USD
pretty good me likey :-)
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hace 3 años
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Some feature need to add on wordpress blog • $100 NZD
He deliver project on time. Excellent work
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hace 3 años
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