What you'll learn
Fundamentals of the Python language
How to program effectively in Python
Using Python with command line and Jupyter notebooks
How to use data types and data collections
How to create programs and manage program flow
How to use modules and packages for free code
Requirements
No previous programming experience is needed
Computer with internet connection and Web browser
Description
Why learn to code?Maybe you are a College student wanting to learn to code, someone looking for a career change to coding or a Data Scientist needing code skills. But coding can feel hard to break into and seems increasingly dominated by people who have written code from an early age. This course is designed to help people start to get real value for coding. Jay has 20+ years of experience in leading teams in top tech organisations from small companies to multinationals and a passion for enabling people to use code and technology in effective ways.Why start with Python?Python is regularly listed as one of the top languages to learn. It's easy to get started with, the tools are free and it has support for a huge range of specific uses. In particular, it's become the key language in data science with a recent report concluding: "By knowing Python, combined with a strong aptitude for quantitative reasoning and experimental analysis, you can strike gold in the industry."Why this course?There are plenty of reference books and online guides which will tell you the syntax of the Python language. And these have a lot of value to any programmer building skills. But a theoretical approach learning pages of Python instructions isn't the best way to start learning. Or the most fun for that matter.In this course Jay will be focussing on concepts and how the language is used. In particular the course focusses on data, because many Python users are interested in manipulating data. The course builds from basic data types up through collections of data to modules and packages used to manage data. And in parallel it builds from executing single Python instructions to creating programs and controlling the flow of code.
Overview
Section 1: Introduction to the course
Lecture 1 Why learn Python?
Lecture 2 What is programming?
Section 2: Installation and free tools
Lecture 3 Environment and setup
Lecture 4 Installing the Anaconda tools
Section 3: Python - getting up to speed
Lecture 5 Numbers and Arithmetic
Lecture 6 Variables and Data
Lecture 7 Data Types
Lecture 8 Built in Functions
Section 4: Lists - your key data collection
Lecture 9 Lists
Lecture 10 Variables revisited
Lecture 11 Methods
Lecture 12 Strings
Section 5: Other data collections
Lecture 13 Dictionaries
Lecture 14 Tuples
Lecture 15 Sets
Section 6: Programming - being in control
Lecture 16 Executing Programs
Lecture 17 Comments and Clarity
Lecture 18 Program Flow
Lecture 19 Iteration
Lecture 20 Writing Functions
Lecture 21 Variables revisited, again
Section 7: Modules, packages and leveraging free code
Lecture 22 Modules
Lecture 23 Packages
Lecture 24 Advanced Packages
Section 8: Project - Data Visualisation, Maps and Packages
Lecture 25 Project Introduction
Lecture 26 About the project, maps and visualisation
Lecture 27 Pandas package and Data Frames
Lecture 28 Tkinter package and managing files
Lecture 29 Visualisation and plotting data
Lecture 30 Geopandas package, lines and points
Lecture 31 Base Maps, projections and styling
Lecture 32 The final map...
Data scientists wanting to develop programming skills,College students wanting to learn to code,Non-coders looking to start with a popular and effective programming language


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