Python as a first coding language

Python as a first coding language, available at $64.99, has an average rating of 5, with 42 lectures, based on 1 reviews, and has 11 subscribers.

You will learn about 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 This course is ideal for individuals who are Data scientists wanting to develop programming skills or College students wanting to learn to code or Non-coders looking to start with a popular and effective programming language It is particularly useful for Data scientists wanting to develop programming skills or College students wanting to learn to code or Non-coders looking to start with a popular and effective programming language.

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Summary

Title: Python as a first coding language

Price: $64.99

Average Rating: 5

Number of Lectures: 42

Number of Published Lectures: 42

Number of Curriculum Items: 43

Number of Published Curriculum Objects: 43

Original Price: ￡19.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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

Target Audiences

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

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.

Course Curriculum

Chapter 1: Introduction to the course

Lecture 1: Why learn Python?

Lecture 2: What is programming?

Chapter 2: Installation and free tools

Lecture 1: Environment and setup

Lecture 2: Installing the Anaconda tools

Chapter 3: Python – getting up to speed

Lecture 1: Numbers and Arithmetic

Lecture 2: Variables and Data

Lecture 3: Data Types

Lecture 4: Built in Functions

Chapter 4: Lists – your key data collection

Lecture 1: Lists

Lecture 2: Variables revisited

Lecture 3: Methods

Lecture 4: Strings

Chapter 5: Other data collections

Lecture 1: Dictionaries

Lecture 2: Tuples

Lecture 3: Sets

Chapter 6: Programming – being in control

Lecture 1: Executing Programs

Lecture 2: Comments and Clarity

Lecture 3: Program Flow

Lecture 4: Iteration

Lecture 5: Writing Functions

Lecture 6: Variables revisited, again

Chapter 7: Modules, packages and leveraging free code

Lecture 1: Modules

Lecture 2: Packages

Lecture 3: Advanced Packages

Chapter 8: Project – Data Visualisation, Maps and Packages

Lecture 1: Project Introduction

Lecture 2: About the project, maps and visualisation

Lecture 3: Pandas package and Data Frames

Lecture 4: Tkinter package and managing files

Lecture 5: Visualisation and plotting data

Lecture 6: Geopandas package, lines and points

Lecture 7: Base Maps, projections and styling

Lecture 8: The final map

Chapter 9: Functional Programming

Lecture 1: Working with Functions

Lecture 2: Understanding variable scope

Chapter 10: Object Oriented Programming

Lecture 1: Object Programming – Introduction

Lecture 2: Object Programming – Classes

Lecture 3: Object Programming – Objects

Lecture 4: Object Programming – Initialisation

Lecture 5: Object Programming – Inheritance

Chapter 11: Working with code

Lecture 1: Debugging

Lecture 2: Robust code

Lecture 3: File handling

Instructors

Jay Alphey
Coach and technologist

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5 stars: 1 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!