Python 2.0

The Python Badge 2.0 is awarded to individuals who have completed Levels 1 - 4 in Python and solved a Python Challenge since January 2021. Attendees have learned some of the functions noted below and applied them by solving a Python Challenge to reflect an understanding of the use of pandas library to write code to manipulate multiple data frames and create visualizations for prepared data in the form of pivot tables and bar charts. Some of the functions that are covered in these Bootcamps include: Level 1 Have working knowledge of the Python programming language Acquire the prerequisite Python skills to implement specific applications of - Machine Learning, Web Development, etc.. Evaluating primitive types in python: type() Declaring variables and variable declaration conventions: = Math Operators and string concatenation: (+ , - , * , /,%) IF and WHILE statements with conditional operators: (==, >, >=, break) Data collections - Lists: ([ ], append(), insert(), del, pop(), len(), sort()) Data collections - Dictionaries: ({ },[ ], insert(), del, clear(), keys(), values()) Declaring functions: def, return Automating with FOR loops: for, in Level 2 Classes in Python Reading csv files with Pandas Basic DataFrame and Series Functions Indexing and selecting data from a Pandas DataFrame Formatting DataFrame data Exporting data to common file formats: .xlsx, .csv, etc. Level 3 Group large amounts of data with Groupby Create spreadsheet-style pivot tables as a DataFrame Merge multiple data sources into a DataFrame Leverage concepts from Python 1 and 2 to create custom functions to manipulate large amounts of data Level 4 Prepare and aggregate data for visualizations Create basic charts with Matplotib. Plot data directly from a DataFrame with Pandas Plotting Visualize statistical insights with Seaborn Format graphs for specific applications