Learn OOP, Numpy, Pandas and Matplotlib with 11 exercises and full solutions
Instructed by: Michael S Russell | Subject: Development, Programming Languages
Instructed by: Michael S Russell | Subject: Development, Programming Languages
Description
This course teaches you the fundamentals of any programming language, with Python 3.6 and Anaconda 5.0.0 with Jupyter Notebook! The course is suitable for those are either completely new to programming, or are coming from another programming language (R, JavaScript, etc) and are keen to get a solid grasp of using Python. You'll be learning: Installing Jupyter Notebook IDE Using all the vital features of Jupyter Notebook Variables and comparison operators Strings, slicing and formatting Lists, Dictionaries, Tuples and Sets Control flow and loops List, Set and Dictionary Comprehension Functions and decorators to make your code my Pythonic! Random module and Built-in Functions Lambda expressions and Handling errors Learn how to manage files with the OS module Work with txt and pickle files Generators, Generators expressions and functional programming You'll fully master Object-Orientated Programming Work with Numpy and Pandas modules for manipulating dataframes Visualize data with Matplotlib module Work with projects starting with a simple Scissors, Paper, Rock game New lectures and practical projects will be added regularly. There are a total of 11 exercises with full solutions provided as ipython files, pdf files and lecture solutions. This course will be kept up to date! Check out the previews to get a taster of what you'll learn. Cheers!
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Course Info
- 111 Lectures
- 20.5 Hours
- Language: English
- Subject: Development, Programming Languages
- Instructed by: Michael S Russell
- Platform: Udemy