Programming In Advance Python

Course Description:
Advance Python takes you beyond the basics into the tools used for data work, automation and application development. In this 8-week course you learn Jupyter Notebook, lambda functions, decorators, iterators and generators, then work with NumPy arrays, Pandas series and data frames, and create charts with Matplotlib. You also cover threads and concurrency, GUI programming with Tkinter and QT5 Designer, MySQL database interaction, third-party libraries, speech recognition and text to speech, and creating executable files. You should already know the basics of Python or have completed the Python Foundation course.

Course Contents:
• DATA SCIENCE TOOLS • Jupyter Notebook, Lambda Functions, Decorators, Iterators, Generators
• DATA ANALYSIS • NumPy Array, Panda Series & Data Frames, Data Visualization using MatPlotlib
• ADVANCED PYTHON • Threads & Concurrency, GUI Programming using Tkinter & QT5 Designer, Database Interaction with MySQL
• LIBRARIES & PACKAGING • Third Party Libraries, Speech Recognition, Create Executable Files

Course Outcome:
After completing this course you will be able to analyze and visualize data with NumPy, Pandas and Matplotlib, write cleaner and more efficient code with decorators, generators and lambda functions, build desktop applications with Tkinter and QT5, connect programs to a MySQL database, and package your programs as executable files. This prepares you for further study in Django, Python Full Stack or Data Analytics Toolkit.