1. Introduction to Data Wrangling and Data Quality 2. Introduction to Python 3. Understanding Data Quality 4. Working with File-Based and Feed-Based Data in Python 5. Accessing Web-Based Data 6. Assessing Data Quality 7. Cleaning, Transforming, and Augmenting Data 8. Structuring and Refactoring Your Code 9. Introduction to Data Analysis 10. Presenting Your Data 11. Beyond Python
1. Introduction to Data Wrangling and Data Quality 2. Introduction to Python 3. Understanding Data Quality 4. Working with File-Based and Feed-Based Data in Python 5. Accessing Web-Based Data 6. Assessing Data Quality 7. Cleaning, Transforming, and Augmenting Data 8. Structuring and Refactoring Your Code 9. Introduction to Data Analysis 10. Presenting Your Data 11. Beyond Python
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.
That growth environment will include rising inflation and interest rates. Those upward shifts naturally accompany healthy growth periods as the demand for resources, products and services rise. Importantly, the Federal Reserve has laid out the rationale for not interfering with that natural growth transition.It's not exactly a fad, but there is a widespread willingness to pay up for a growth story. Classic fundamental analysis takes a back seat. Even negative earnings are ignored. In fact, positive earnings seem to be a limiting measure, producing the question, "Is that all you've got?" The preference is a vision of untold riches when the exciting story plays out as expected.
