Practical Data Analysis Using Jupyter Notebook Learn how to speak the language of data by extracting useful and actionable insights using Python.pdf
What you will learn • Understand the importance of data literacy and how to communicate effectively using data • Find out how to use Python packages such as NumPy, pandas, Matplotlib, and the Natural Language Toolkit (NLTK) for data analysis • Wrangle data and create DataFrames using pandas • Produce charts and data visualizations using time-series datasets • Discover relationships and how to join data together using SQL • Use NLP techniques to work with unstructured data to create sentiment analysis models • Discover patterns in real-world datasets that provide accurate insights
Practical Data Analysis Using Jupyter Notebook Learn how to speak the language of data by extracting useful and actionable insights using Python.pdf
What you will learn • Understand the importance of data literacy and how to communicate effectively using data • Find out how to use Python packages such as NumPy, pandas, Matplotlib, and the Natural Language Toolkit (NLTK) for data analysis • Wrangle data and create DataFrames using pandas • Produce charts and data visualizations using time-series datasets • Discover relationships and how to join data together using SQL • Use NLP techniques to work with unstructured data to create sentiment analysis models • Discover patterns in real-world datasets that provide accurate insights
BY Python 🐍 Work With Data
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Telegram is a cloud-based instant messaging service that has been making rounds as a popular option for those who wish to keep their messages secure. Telegram boasts a collection of different features, but it’s best known for its ability to secure messages and media by encrypting them during transit; this prevents third-parties from snooping on messages easily. Let’s take a look at what Telegram can do and why you might want to use it.
Launched in 2013, Telegram allows users to broadcast messages to a following via “channels”, or create public and private groups that are simple for others to access. Users can also send and receive large data files, including text and zip files, directly via the app.The platform said it has more than 500m active users, and topped 1bn downloads in August, according to data from SensorTower.Python Work With Data from br
