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You will get ATP tournaments calendar data for the entire season

Andrii B.Status: Offline
Andrii B.
Preview image

Let a pro handle the details

Buy Data Mining & Web Scraping services from Andrii, priced and ready to go.
Andrii B.Status: Offline
Andrii B.
Preview image

Let a pro handle the details

Buy Data Mining & Web Scraping services from Andrii, priced and ready to go.

Project details

The flexible well-formed worksheet represents the entire ATP season calendar, referenced to ATP(ATP_250, ATP_500 and ATP_1000) or CHALLENGER tournaments and contains the following data columns :

 • TOUR_DATE_RANGE

 • TOUR_TITLE

 • TOUR_FULL_LOCATION(country and city)

 • TOUR_SURFACE

 • TOUR_ATP_LEVEL

 • TOUR_START_DATE

 • TOUR_FINISH_DATE
Data Tool
Python

What's included $50

These options are included with the project scope.

$50
  • Delivery Time 1 day
  • Number of Sources Mined/Scraped 1
  • Number of Revisions 0
Optional add-ons You can add these on the next page.
Additional Source Mined/Scraped (+ 1 Day)
+$50
Andrii B.Status: Offline

About Andrii

Andrii B.Status: Offline
Java/Python Backend Software Developer
Lviv, Ukraine - 1:01 pm local time
Senior software backend developer, experienced in both development and testing (unit and integration), using different types of languages (Java, Python, C#, SQL, HTML, CSS, Java Script) and frameworks (Spring Boot, Spring MVC, Hibernate, Jersey, JMS, Apache Camel, Django) as well as applying strong knowledge of object oriented programming, design patterns and principles.
I strive to combine problem-solving abilities with self motivation and quickly learning of new concepts.
In last commercial project I was responsible for migrating of a legacy enterprise application (financial domain) already deployed on several application servers to JBOSS AS and further JBOSS AS sub-components configuration and customer supporting with documentation.
Another challenging task was Liquibase containerization because there was an active stage of migrating to microservices from monolith in a project which I was assigned to.
A few years ago I "switched" to the Python tech stack (Anaconda, Django, pandas, numpy) and
have been using it in development within my own project scope (take a look my Project Catalog below).

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