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Introduction C++ Education Google Developers

Details: Introduction. Welcome to Google's C++ Class. This class includes written materials, lecture videos, examples, and exercises to practice C++ coding. To get started, follow the links to the left. Tip: Check out the C++ Google Code University Forum to ask and answer questions.

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FAQ Google for Education Google Developers

Details: Google Play for Education is a new online destination designed for schools. Teachers can discover educational apps, books, and videos to meet the needs of a single student, a classroom, or a whole district. Educators can browse apps by grade, subject, keyword, or standard including Common Core State Standards.

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Getting Started C++ Education Google Developers

Details: Starting with step 1, do a Google search to see how to generate a random number using C++. Try searching on "rand C++". Here is our solution. For step 2, we need to receive an integer input from the player (with appropriate error-checking on cin), and check it against the secret number.

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Next Steps C++ Education Google Developers

Details: Next Steps | C++ Education | Google Developers. Table of contents. Introduction to Programming and C++. Learn by Example #2. Example #1: More Decomposition Practice. Example #2: Practice with Pointers. Example #3: Passing Values by Reference. Example #4: Classes and Objects. The wonders of Science: Computer Science.

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Google's Python Class Python Education Google Developers

Details: Welcome to Google's Python Class -- this is a free class for people with a little bit of programming experience who want to learn Python. The class includes written materials, lecture videos, and lots of code exercises to practice Python coding. These materials are used within Google to introduce Python to people who have just a little

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C++ In Depth C++ Education Google Developers

Details: C++ Language Tutorial. The early sections of this tutorial cover the basic material already presented in the last two modules, and provide more information on advanced concepts. Our focus in this module is on dynamic memory, and more details on objects and classes. Some advanced topics are also introduced, like inheritance, polymorphism, templates, exceptions and namespaces.

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Google for Education Google Developers

Details: Google for Education focuses on creating educational experiences for over 120 million students and teachers all over the world. In concert with developers, we work to foster multifaceted learning experiences through solutions like Google Classroom, G Suite for Education, Google Expeditions and a diverse ecosystem of Android and Chrome OS apps.

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Quiz Answers C++ Education Google Developers

Details: Problem Set 1. 1 - C. 2 - E. 3 - A. 4 - E. 5 - B. 6 - C . Problem Set 2. 1 - A. 2 - A, D, E. 3 - A. 4 - E. 5 - B . Problem Set 3. 1 - E. 2 - A. 3 - A. 4 - B. 5 - A. 6

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Introduction Classroom API Google Developers

Details: Using the course IDs retrieved earlier, your application can now retrieve the list of students and co-teachers for that course or courses. This course ID is the only required query parameter for teachers.list and students.list, but you might similarly want to consider specifying the pageSize and fields parameters to decrease the response time of your API calls.

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› Url: https://developers.google.com/classroom/guides/import-rosters Go Now

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Python Lists Python Education Google Developers

Details: Python's *for* and *in* constructs are extremely useful, and the first use of them we'll see is with lists. The *for* construct -- for var in list -- is an easy way to look at each element in a list (or other collection). Do not add or remove from the list during iteration. squares = [1, 4, 9, 16] sum = 0 for num in squares: sum += num print

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Get Classroom Test Accounts or Domains Classroom API

Details: Get a G Suite for Education test domain. If you need to test the administrator permissions of the API (for example, to create courses on behalf of teachers), you will need a G Suite for Education test domain. To get a G Suite for Education demo test domain, you need to join the Google Cloud Partner Advantage Program.

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Java Quickstart Classroom API Google Developers

Details: A G Suite for Education account with Google Classroom enabled; Step 1: Prepare the project. To prepare the project: In your working directory, run the following commands to create a new project structure: gradle init --type basic mkdir -p src/main/java src/main/resources

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Google Product and SKU IDs Enterprise License Manager API

Details: 1010310010. Google Workspace for Education Plus (Extra Student) 101037. Google Workspace for Education. 1010370001. Google Workspace for Education: Teaching and Learning Upgrade. Google Workspace for Education Legacy SKUs. 101031. Google Workspace for Education.

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Python Quickstart Classroom API Google Developers

Details: A G Suite for Education account with Google Classroom enabled; Step 1: Install the Google client library. To install the Google client library for Python, run the following command: pip install --upgrade google-api-python-client google-auth-httplib2 google-auth-oauthlib

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Blockly Google Developers

Details: Google for Education Blockly Try Blockly. Blockly Basics. The Blockly library adds an editor to your app that represents coding concepts as interlocking blocks. Blockly generates simple, syntactically-correct code from the blocks in the editor, which your app can use to run games, control robots, or do anything else your imagination can concieve.

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Classification: Accuracy Machine Learning Crash Course

Details: Formally, accuracy has the following definition: Accuracy = Number of correct predictions Total number of predictions. For binary classification, accuracy can also be calculated in terms of positives and negatives as follows: Accuracy = T P + T N T P + T N + F P + F N. Where TP = True Positives, TN = True Negatives, FP = False Positives, and FN

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TRMM 3B42: 3-Hourly Precipitation Estimates

Details: Earth Engine is free to use for research, education, and nonprofit use. To access this dataset in Earth Engine, please sign up for Earth Engine then return to this page. Cancel Sign up. TRMM 3B42: 3-Hourly Precipitation Estimates. The Tropical Rainfall Measuring Mission (TRMM) is a joint mission between NASA and the Japan Aerospace Exploration

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TIGER: US Census 5-digit ZIP Code Tabulation Areas 2010

Details: Earth Engine is free to use for research, education, and nonprofit use. To access this dataset in Earth Engine, please sign up for Earth Engine then return to this page. Cancel Sign up. TIGER: US Census 5-digit ZIP Code Tabulation Areas 2010. ZIP Code tabulation areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) 5

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NCEP/NCAR Reanalysis Data, Sea-Level Pressure

Details: The NCEP/NCAR Reanalysis 1 project is using a state-of-the-art analysis/forecast system to perform data assimilation using past data from 1948 to the present. The data have 6-hour temporal resolution (0000, 0600, 1200, and 1800 UTC) and 2.5 degree spatial resolution. There are no restrictions on the use of these datasets. Kalnay et al., 1996

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GPWv411: Basic Demographic Characteristics (Gridded

Details: GPWv411: Basic Demographic Characteristics (Gridded Population of the World Version 4.11) The Gridded Population of World Version 4 (GPWv4), Revision 11 models the distribution of global human population for the years 2000, 2005, 2010, 2015, and 2020 on 30 arc-second (approximately 1km) grid cells. Population is distributed to cells using

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Introduction to TensorFlow Machine Learning Crash Course

Details: TensorFlow is an end-to-end open source platform for machine learning. TensorFlow is a rich system for managing all aspects of a machine learning system; however, this class focuses on using a particular TensorFlow API to develop and train machine learning models. See the TensorFlow documentation for complete details on the broader TensorFlow

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MERIT Hydro: global hydrography datasets Earth Engine

Details: 'MERIT Hydro is a new global flow direction map at 3 arc-second resolution (~90 m at the equator) derived from the version 1.0.3 of the MERIT DEM elevation data and water body datasets (G1WBM, GSWO and OpenStreetMap). MERIT Hydro contains the output of a …

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› Url: https://developers.google.com/earth-engine/datasets/catalog/MERIT_Hydro_v1_0_1 Go Now

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JRC Global Surface Water Metadata, v1.3 Earth Engine

Details: Earth Engine is free to use for research, education, and nonprofit use. To access this dataset in Earth Engine, please sign up for Earth Engine then return to this page. Cancel Sign up. JRC Global Surface Water Metadata, v1.3. This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2020 and provides

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Google Play for Education Addendum to the Google Chrome

Details: 5.2 A Selected Product or Product may be removed by Google from Play for Education at any time in accordance with the removal terms and conditions contained in Play for Education or the applicable Play for Education Communications, this Addendum, the Agreement, or if You violate the terms and conditions of Play for Education, or Play for

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NOAA CDR AVHRR NDVI: Normalized Difference Vegetation

Details: The NOAA Climate Data Record (CDR) of AVHRR Normalized Difference Vegetation Index (NDVI) contains gridded daily NDVI derived from the NOAA AVHRR Surface Reflectance product. It provides a measurement of surface vegetation coverage activity, gridded at a resolution of 0.05° and computed globally over land surfaces.

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› Url: https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_AVHRR_NDVI_V5 Go Now

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Quiz C++ Education Google Developers

Details: Problem Set 1. Study the following program and then answer the questions below. We'd like you to answer the questions by looking only at the source code, i.e., please don't copy it into a file, compile it and answer the questions based on running it.

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DMSP OLS: Nighttime Lights Time Series Version 4, Defense

Details: The Defense Meteorological Program (DMSP) Operational Line-Scan System (OLS) has a unique capability to detect visible and near-infrared (VNIR) emission sources at night. Version 4 of the DMSP-OLS Nighttime Lights Time Series consists of cloud-free composites made using all the available archived DMSP-OLS smooth resolution data for calendar years.

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Python Set Up Python Education Google Developers

Details: Python on Windows. To install Python on Windows, go to the python.org download page and download Python 2.7.x. Run the Python installer and accept all the defaults. This will install Python in the root directory and set up some file associations. With Python installed, open a command prompt (Accessories > Command Prompt, or type cmd into the

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IrrMapper Irrigated Lands Earth Engine Data Catalog

Details: IrrMapper is an annual classification of irrigation status in the 11 Western United States made at Landsat scale (i.e., 30 m) using the Random Forest algorithm, covering years 1986 - present. While the IrrMapper paper describes classification of four classes (i.e., irrigated, dryland, uncultivated, wetland), the …

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› Url: https://developers.google.com/earth-engine/datasets/catalog/UMT_Climate_IrrMapper_RF_v1_0 Go Now

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NASA SRTM Digital Elevation 30m Earth Engine Data Catalog

Details: Earth Engine is free to use for research, education, and nonprofit use. To access this dataset in Earth Engine, please sign up for Earth Engine then return to this page. Cancel Sign up. NASA SRTM Digital Elevation 30m. The Shuttle Radar Topography Mission (SRTM, see Farr et al. 2007) digital elevation data is an international research effort

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Global Aboveground and Belowground Biomass Carbon Density …

Details: This dataset provides temporally consistent and harmonized global maps of aboveground and belowground biomass carbon density for the year 2010 at a 300-m spatial resolution. The aboveground biomass map integrates land-cover specific, remotely sensed maps of woody, grassland, cropland, and tundra biomass. Input maps were amassed from the published literature

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› Url: https://developers.google.com/earth-engine/datasets/catalog/NASA_ORNL_biomass_carbon_density_v1 Go Now

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OpenLandMap Soil organic carbon content Earth Engine

Details: To get started, please sign up for Earth Engine access. Earth Engine is free to use for research, education, and nonprofit use. To access this dataset in Earth Engine, please sign up for Earth Engine then return to this page. Soil organic carbon content in x 5 g / kg at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution

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Hansen Global Forest Change v1.8 (2000-2020)

Details: Earth Engine is free to use for research, education, and nonprofit use. To access this dataset in Earth Engine, please sign up for Earth Engine then return to this page. Cancel Sign up. Hansen Global Forest Change v1.8 (2000-2020) Results from time-series analysis of Landsat images in characterizing global forest extent and change.

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USFS Landscape Change Monitoring System v2020.5

Details: USFS Landscape Change Monitoring System v2020.5. This product is part of the Landscape Change Monitoring System (LCMS) data suite. It shows LCMS-modeled change, land cover, and/or land use classes for each year. LCMS is a remote sensing-based system for mapping and monitoring landscape change across the United States.

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LSIB 2017: Large Scale International Boundary Polygons

Details: The United States Office of the Geographer provides the Large Scale International Boundary (LSIB) dataset. The detailed version (2013) is derived from two other datasets: a LSIB line vector file and the World Vector Shorelines (WVS) from the National Geospatial-Intelligence Agency (NGA). The interior boundaries reflect U.S. government policies on

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TIGER: US Census Roads Earth Engine Data Catalog

Details: TIGER: US Census Roads. This United States Census Bureau TIGER dataset contains all road segments from the 2016 release, containing more than 19 million individual line features covering the United States, the District of Columbia, Puerto Rico, and the Island Areas. Each feature represents a road segment geometry (a single navigable linear path

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› Url: https://developers.google.com/earth-engine/datasets/catalog/TIGER_2016_Roads Go Now

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GPWv411: Population Density (Gridded Population of the

Details: GPWv411: Population Density (Gridded Population of the World Version 4.11) The Gridded Population of World Version 4 (GPWv4), Revision 11 models the distribution of global human population for the years 2000, 2005, 2010, 2015, and 2020 on 30 arc-second (approximately 1km) grid cells. Population is distributed to cells using proportional

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Python Sorting Python Education Google Developers

Details: Python Sorting. The easiest way to sort is with the sorted (list) function, which takes a list and returns a new list with those elements in sorted order. The original list is not changed. It's most common to pass a list into the sorted () function, but in fact it …

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WDPA: World Database on Protected Areas (polygons)

Details: The World Database on Protected Areas (WDPA) is the most up-to-date and complete source of information on protected areas, updated monthly with submissions from governments, non-governmental organizations, landowners, and communities. It is managed by the United Nations Environment Programme's World Conservation Monitoring Centre (UNEP-WCMC) with support …

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NEX-GDDP: NASA Earth Exchange Global Daily Downscaled

Details: Earth Engine is free to use for research, education, and nonprofit use. To access this dataset in Earth Engine, please sign up for Earth Engine then return to this page. Cancel Sign up. NEX-GDDP: NASA Earth Exchange Global Daily Downscaled Climate Projections. The NASA NEX-GDDP dataset is comprised of downscaled climate scenarios for the globe

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MCD12Q1.006 MODIS Land Cover Type Yearly Global 500m

Details: The MCD12Q1 V6 product provides global land cover types at yearly intervals (2001-2016) derived from six different classification schemes. It is derived using supervised classifications of MODIS Terra and Aqua reflectance data. The supervised classifications then undergo additional post-processing that incorporate prior knowledge and ancillary information to further refine specific

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NAIP: National Agriculture Imagery Program Earth Engine

Details: The National Agriculture Imagery Program (NAIP) acquires aerial imagery during the agricultural growing seasons in the continental U.S. NAIP projects are contracted each year based upon available funding and the imagery acquisition cycle. Beginning in 2003, NAIP was acquired on a 5-year cycle. 2008 was a transition year, and a

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› Url: https://developers.google.com/earth-engine/datasets/catalog/USDA_NAIP_DOQQ Go Now

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MOD11A1.006 Terra Land Surface Temperature and Emissivity

Details: The MOD11A1 V6 product provides daily land surface temperature (LST) and emissivity values in a 1200 x 1200 kilometer grid. The temperature value is derived from the MOD11_L2 swath product. Above 30 degrees latitude, some pixels may have multiple observations where the criteria for clear-sky are met. When this occurs,

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