e-learning: Python FundamentalsPython is a high-level programming language that has code readability and simplicity as its primary design goals. Python is an interpreted language and supports object-oriented, functional imperative, and procedural paradigms. This series of Skillsoft courses covers the basics of Python and focuses on getting you up to speed writing code that conforms to the Pythonic style.
Python: The Basics (3 Hours, 28 Minutes)
Python: Classes and Modules (2 Hours, 55 Minutes)
Python: Iteration and Exceptions (3 Hours, 44 Minutes)
Python: Web Application Development (2 Hours, 29 Minutes)
Python: web2py and Test-driven Development (2 Hours, 19 Minutes)
Python: Data Science Fundamentals (1 Hour, 42 Minutes)
Developing with PythonPython is a general purpose, high-level programming language that was designed to be readable and elegant. Python is intended to allow programmers to express ideas in code that is shorter and more readable than in other languages. This series of Skillsoft courses covers the basics of programming with the Python language.
Python Language Basics (2 Hours, 38 Minutes)
Applications of Python (1 Hour, 42 Minutes)
Advanced Python (1 Hour, 29 Minutes)
Python for Data Science IData science has become a great trend in computational and predictive statistical analysis. Itâ€™s also used by various organizations to make data-driven decisions. With all the challenges faced, Python has become an indispensable tool for the data science analyst and an important tool for any data scientist. This comprehensive path will provide a means of transcending the theory of data science with the help of Python and many other integrated toolsets. After completing these courses, you will be well on your way to creating vast data models and working with big data technologies to handle data at scale. You will also have a greater understanding of and appreciation for how great data science is.
Python for Data Science â€“ Introduction to Python for Data Science (2 Hours, 32 Minutes)
Python for Data Science â€“ Complex Data Engineering in Python (2 Hours, 41 Minutes)
Python for Data Science IIData science has become the de facto field in computational and predictive statistical analysis and is used by various organizations to make data-driven decisions. Python has become an indispensable tool for the data science analyst and an important tool for any data scientist. This path will cover the key tools and libraries used by Python for Data Science including NumPy and Pandas.
Python for Data Science: Introduction to NumPy for Multi-dimensional Data (1 Hour)
Python for Data Science: Advanced Operations with NumPy Arrays (1 Hour, 8 Minutes)
Python for Data Science: Introduction to Pandas (1 Hour, 6 Minutes)
Python for Data Science: Basic Data Visualization Using Seaborn (1 Hour, 7 Minutes)
Python for Data Science: Advanced Data Visualization Using Seaborn (1 Hour, 4 Minutes)
Python for Data Science: Manipulating and Analyzing Data in Pandas DataFrames (45 Minutes)
Working with Complex Data Types in Python
Complex Data Types in Python: Working with Lists & Tuples in Python
Learn to work with lists, tuples, and strings in Python. You will see the similarities and differences between tuples and lists and see how strings are essentially just a list of characters.
Complex Data Types in Python: Working with Dictionaries & Sets in Python
Learn about dictionary data type in Python. Dictionaries are associative containers used to store key-value pairs. Given a key, finding the associated value is optimized by Python to be extremely efficient.
Complex Data Types in Python: Shallow & Deep Copies in Python
Learn about copying operations on containers in Python. You will learn the subtle distinction between shallow and deep copies. Changes made to shallow copies affect the original whereas with deep copies do not.