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News API: Extracting News Headlines and Articles
News plays an essential role in our daily life. Whether you want to create your own news website, or carry out a data analysis project, there is often a need to fetch different types of news articles or headlines to aggregate the news from different sources at one place or analyze them. Applications can be many, and fortunately, there is a way to retrieve the news articles from the web, from different sources and the same time.
In this tutorial you will learn how to extract news headlines and articles using the News API and save them to a CSV file.
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Worked for Accenture as Software Engineer, and currently pursuing my Master’s degree in Data Science.
Create a Translator Using Google Sheets API & Python
Spreadsheets are among the most popular office utilities in the world. Almost all professions use spreadsheets for a wide of ranger reasons, from tallying numbers and displaying them in graphs to doing unit conversions, just to mention a few.
Google Sheets is one of the more popular spreadsheet applications available today. Backed up by the Google platform, it has some nifty features that make it stand from its competitors.
In this tutorial, you will learn how to use the power of Google Sheets API and Python to build a simple language translator.
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Software Engineer & Dancer. Or is it the other way around? 🙂
Chatbot Development with Python NLTK
Chatbots are intelligent agents that engage in a conversation with the humans in order to answer user queries on a certain topic. Amazon’s Alexa, Apple’s Siri and Microsoft’s Cortana are some of the examples of chatbots.
Depending upon the functionality, chatbots can be divided into three categories: General purpose chatbots, task-oriented chatbots, and hybrid chatbots. General purpose chatbots are the chatbots that conduct a general discussion with the user (not on any specific topic). Task-oriented chatbots, on the other hand, are designed to perform specialized tasks, for example, to serve as online ticket reservation system or pizza delivery system, etc. Finally, hybrid chatbots are designed for both general and task-oriented discussions.
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I am Machine Learning and Data Science expert currently pursuing my PhD in Computer Science from Normandy University, France.
Scraping Tweets and Performing Sentiment Analysis
Sentiment Analysis is a special case of text classification where users’ opinions or sentiments regarding a product are classified into predefined categories such as positive, negative, neutral etc. Public sentiments can then be used for corporate decision making regarding a product which is being liked or disliked by the public.
Both rule-based and statistical techniques have been developed for sentimental analysis. With the advancements in Machine Learning and natural language processing techniques, Sentiment Analysis techniques have improved a lot.
In this tutorial, you will see how Sentiment Analysis can be performed on live Twitter data. The tutorial is divided into two major sections: Scraping Tweets from Twitter and Performing Sentiment Analysis.
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I am Machine Learning and Data Science expert currently pursuing my PhD in Computer Science from Normandy University, France.
Twitter API: Extracting Tweets with Specific Phrase
Twitter has been a good source for Data Mining. Many data scientists and analytics companies collect tweets and analyze them to understand people’s opinion about some matters.
In this tutorial, you will learn how to use Twitter API and Python Tweepy library to search for a word or phrase and extract tweets that include it and print the results.
Note: This tutorial is different from our other Twitter API tutorial in that the current one uses Twitter Streaming API which fetches live tweets while the other tutorial uses the cursor method to search existing tweets. You can use the cursor to specify the language and tweet limit and you can also filter retweets using cursor.
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Software Engineer & Dancer. Or is it the other way around? 🙂
Searching GitHub Using Python & GitHub API
GitHub is a web-based hosting service for version control using Git. It is mostly used for storing and sharing computer source code. It offers all of the distributed version control and source code management functionality of Git as well as adding its own features.
GitHub stores more than 3 million repositories with more than 1.7 million developers using it daily. With so much data, it can be quite daunting at first to find information one needs or do repetitive tasks, and that is when GitHub API comes handy.
In this tutorial, you are going to learn how to use GitHub API to search for repositories and files that much particular keywords(s) and retrieve their URLs using Python. You will learn also how to download files or a specific folder from a GitHub repository.
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Software Engineer & Dancer. Or is it the other way around? 🙂
Amazon S3 with Python Boto3 Library
Amazon S3 is the Simple Storage Service provided by Amazon Web Services (AWS) for object based file storage. With the increase of Big Data Applications and cloud computing, it is absolutely necessary that all the “big data” shall be stored on the cloud for easy processing over the cloud applications.
In this tutorial, you will learn how to use Amazon S3 service via the Python library Boto3. You will learn how to create S3 Buckets and Folders, and how to upload and access files to and from S3 buckets. Eventually, you will have a Python code that you can run on EC2 instance and access your data on the cloud while it is stored on the cloud.
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I am a Data Scientist in the Manufacturing / IoT domain and a ML enthusiast. I like to work on data analysis and data infrastructure projects as well. Looking forward to connect.
Extracting YouTube Comments with YouTube API & Python
YouTube is the world’s largest video-sharing site with about 1.9 billion monthly active users. People use it to share info, teach, entertain, advertise and much more.
So YouTube has so much data that one can utilize to carry out research and analysis. For example, extracting YouTube video comments can be useful to run Sentiment Analysis and other Natural Language Processing tasks. YouTube API enables you to search for videos matching specific search criteria.
In this tutorial, you will learn how to extract comments from YouTube videos and store them in a CSV file using Python. It will cover setting up a project on Google console, enabling the necessary YouTube API and finally writing the script that interacts with the YouTube API.
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Software Engineer & Dancer. Or is it the other way around? 🙂
Google Places API: Extracting Location Data & Reviews
Google places API allows developers to access a wealth of information from Google’s database for over 100 million places including location data, contact information, user ratings and reviews and more.
In this tutorial, you will learn how to create a reusable class to read and extract location related information from Google Places API. This tutorial will help you if you want to extract business’s name, address, phone number, website, and reviews.
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I speak Python!
Majid Alizadeh is a freelance developer specialized in web development, web scraping and automation. He provides high quality and sophisticated software for his clients. Beside Python he works with other languages like Ruby, PHP and JS as well.