Compare More Than 5 Keywords in Google Trends Search Using Pytrends

Do you want to compare more than 5 keywords in pytrends but Google Trends Search’s limit is forbidding you to do so? Well, you have come to the right place. I took inspiration from this article and tried to implement the same operations using pytrends and matplotlib for automation purpose. First, go through this article to get your basics right and then we will jump to python implementation using pytrends and matplotlib-> linkToArticle
Consider a scenario where I want to compare trends of the following TV Series:
Stranger Things,Friends, Riverdale,Game of Thrones, The office, Breaking Bad ,Money Heist,Peaky Blinders and Black Mirror
Since Google Trends Search allows comparison of a maximum of 5 keywords. Let’s divide this list into two halves such that both halves contain a common TV Series (a common keyword). This common keyword is our trump card to play the trick and compare all the keywords together. The following image shows how I divided the list into two halves with “The office” as a common TV series (keyword)among the two. (Any TV Series can be picked up randomly as a common TV Series, I picked up “The office”)

#keywords #python #google-trends #matplotlib #analytics

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Get Google Trends using Python

In this post, we will show how we can use Python to get data from Google Trends. Let’s have a look at the top trending searches for today in the US (14th of March, 2020). As we can see, the top search is about Coronavirus tips with more than 2M searches, and at the 7th position is Rick Pitino with around 100K searches.

Python package for getting the Google Trends

We will use the pytrends package which is an unofficial API for Google Trends which allows a simple interface for automating downloading of reports from Google Trends. The main feature is to allow the script to login to Google on your behalf to enable a higher rate limit. At this point, I want to mention that I couldn’t use this package and I created a new anaconda environment installing the pandas 0.25 version.

You can install the pytrends package with pip:

pip install pytrends

#google-trends #how-to-use-google-trend #google #google-api #python

Compare More Than 5 Keywords in Google Trends Search Using Pytrends

Do you want to compare more than 5 keywords in pytrends but Google Trends Search’s limit is forbidding you to do so? Well, you have come to the right place. I took inspiration from this article and tried to implement the same operations using pytrends and matplotlib for automation purpose. First, go through this article to get your basics right and then we will jump to python implementation using pytrends and matplotlib-> linkToArticle
Consider a scenario where I want to compare trends of the following TV Series:
Stranger Things,Friends, Riverdale,Game of Thrones, The office, Breaking Bad ,Money Heist,Peaky Blinders and Black Mirror
Since Google Trends Search allows comparison of a maximum of 5 keywords. Let’s divide this list into two halves such that both halves contain a common TV Series (a common keyword). This common keyword is our trump card to play the trick and compare all the keywords together. The following image shows how I divided the list into two halves with “The office” as a common TV series (keyword)among the two. (Any TV Series can be picked up randomly as a common TV Series, I picked up “The office”)

#keywords #python #google-trends #matplotlib #analytics

Google pytrends- a python library for Google Trends Search-for more than 5 keywords

Everyone who needs to automate the google trends part must know the pytrends library of python. We have a lot of information about it’s related queries, related keywords, interest over time and much more. But what if there are more than 5 keyword and still we need to find a most searched one from all the keywords.
So, let’s start with having 10 keywords in a list. We will start with grouping the first 5 and finding a middle ranking keyword. The link here will help you give a better understanding of how can google trends search works with more than 5 keywords. https://digitaljobstobedone.com/2017/07/10/how-do-you-compare-large-numbers-of-items-in-google-trends/.
Now what we are doing is automating this whole part just to reach to a conclusion of the result of the final most searched keyword. Initially, the first group will be of 5 keywords and then the list goes on with less than 5 keywords and a middle ranking keyword from the prior group. So let’s begin with the first part of our code.

#pandas-dataframe #python #google-trends #automation #keywords

Google's TPU's being primed for the Quantum Jump

The liquid-cooled Tensor Processing Units, built to slot into server racks, can deliver up to 100 petaflops of compute.

The liquid-cooled Tensor Processing Units, built to slot into server racks, can deliver up to 100 petaflops of compute.

As the world is gearing towards more automation and AI, the need for quantum computing has also grown exponentially. Quantum computing lies at the intersection of quantum physics and high-end computer technology, and in more than one way, hold the key to our AI-driven future.

Quantum computing requires state-of-the-art tools to perform high-end computing. This is where TPUs come in handy. TPUs or Tensor Processing Units are custom-built ASICs (Application Specific Integrated Circuits) to execute machine learning tasks efficiently. TPUs are specific hardware developed by Google for neural network machine learning, specially customised to Google’s Machine Learning software, Tensorflow.

The liquid-cooled Tensor Processing units, built to slot into server racks, can deliver up to 100 petaflops of compute. It powers Google products like Google Search, Gmail, Google Photos and Google Cloud AI APIs.

#opinions #alphabet #asics #floq #google #google alphabet #google quantum computing #google tensorflow #google tensorflow quantum #google tpu #google tpus #machine learning #quantum computer #quantum computing #quantum computing programming #quantum leap #sandbox #secret development #tensorflow #tpu #tpus

Top 10 Trending Technologies Must Learn in 2021 | igmGuru

Technology has taken a place of more productiveness and give the best to the world. In the current situation, everything is done through the technical process, you don’t have to bother about doing task, everything will be done automatically.This is an article which has some important technologies which are new in the market are explained according to the career preferences. So let’s have a look into the top trending technologies followed in 2021 and its impression in the coming future in the world.

1. Data Science
   First in the list of newest technologies is surprisingly Data Science. Data Science is the automation that helps to be reasonable for complicated data. The data is produces in a very large amount every day by several companies which comprise sales data, customer profile information, server data, business data, and financial structures. Almost all of the data which is in the form of big data is very indeterminate. The character of a data scientist is to convert the indeterminate datasets into determinate datasets. Then these structured data will examine to recognize trends and patterns. These trends and patterns are beneficial to understand the company’s business performance, customer retention, and how they can be enhanced.

2. DevOps
   Next one is DevOps, This technology is a mixture of two different things and they are development (Dev) and operations (Ops). This process and technology provide value to their customers in a continuous manner. This technology plays an important role in different aspects and they can be- IT operations, development, security, quality, and engineering to synchronize and cooperate to develop the best and more definitive products. By embracing a culture of DevOps with creative tools and techniques, because through that company will gain the capacity to preferable comeback to consumer requirement, expand the confidence in the request they construct, and accomplish business goals faster. This makes DevOps come into the top 10 trending technologies.

3. Machine learning
   Next one is Machine learning which is constantly established in all the categories of companies or industries, generating a high command for skilled professionals. The machine learning retailing business is looking forward to enlarging to $8.81 billion by 2022. Machine learning practices is basically use for data mining, data analytics, and pattern recognition. In today’s scenario, Machine learning has its own reputed place in the industry. This makes machine learning come into the top 10 trending technologies. Get the best machine learning course and make yourself future-ready.

To want to know more click on Top 10 Trending Technologies in 2021

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#top trending technologies #top 10 trending technologies #top 10 trending technologies in 2021 #top trending technologies in 2021 #top 5 trending technologies in 2021 #top 5 trending technologies