Technical Writing- Getting Started with Python

Technical Writing: Getting Started with Python, available at $64.99, has an average rating of 4.35, with 49 lectures, based on 26 reviews, and has 1138 subscribers.

You will learn about You will be able to read the basic syntax of Python programming language Set up and install an environment for working with Python (Anaconda) Understand the meaning and intended use of common Python techniques (elif, while, for, comments, etc.) Perform hands-on exercises and a mini-project to practice what youve learned This course is ideal for individuals who are Technical Writers, who want to specialize in software documentation It is particularly useful for Technical Writers, who want to specialize in software documentation.

Enroll now: Technical Writing: Getting Started with Python

Summary

Title: Technical Writing: Getting Started with Python

Price: $64.99

Average Rating: 4.35

Number of Lectures: 49

Number of Published Lectures: 49

Number of Curriculum Items: 49

Number of Published Curriculum Objects: 49

Original Price: $27.99

Quality Status: approved

Status: Live

What You Will Learn

You will be able to read the basic syntax of Python programming language

Set up and install an environment for working with Python (Anaconda)

Understand the meaning and intended use of common Python techniques (elif, while, for, comments, etc.)

Perform hands-on exercises and a mini-project to practice what youve learned

Who Should Attend

Technical Writers, who want to specialize in software documentation

Target Audiences

Technical Writers, who want to specialize in software documentation

Are you a technical writer who wants to learn about the Python programming language? Or do you want to advance your career as a technical writer in the software development industry?

If your answer is yes, then this course can help you!

Python is currently the most popular programming language in the world. According to SlashData, “there are now 8.2 million developers in the world who code using Python, and that population is now larger than those who build in the Java language.”

If you are serious about your technical writing career, you must be able to communicate efficiently with your development team about the software code they have been developing. Moreover, top-paying companies in the software industry often require technical writers to not only read and understand Python source code but also to develop sample code exercises that enrich developers’ documentation.

But how can you do that if you’re just a technical writer who has never written a single line of code? You should find someone to show and guide you through this software development jungle, preferably quickly so that you can get back to writing documentation that helps your target users!

This course is designed to help technical writers learn Python programming language in order to communicate more efficiently with their development team and develop sample code exercises for documentation.

Ph.D. Sehrish Aqeel, a top expert in Python from JPDocu School of Technical Writing, shares her vast experience with Python in a friendly and relaxed manner. She has over 14 years of experience teaching at the university and online, and now she shares her knowledge with the technical communications community through this course through practical explanations and hands-on exercises.

By the end of the course, participants will become technical writers who can confidently read and understand Python source code, use Python terminology, and develop a simple application following the instructor’s guidelines.

You will soon realize that Python language can be easy to understand and learn when you have the right teacher. There is no complicated theory, just practical explanations, and simple hands-on exercises to smoothly introduce you to the language. Of course, this course does not aim to turn you into a developer – do not expect to gain solid development skills here. However, by the end of this course, you will become a technical writer who can read and understand Python source code, use Python’s terminology confidently, and get the chance to develop a simple application yourself, following the instructor’s guidelines.

So, enroll now and see how simple and easy Python can be. Impress your development team with the skills of a professional technical writer who knows Python language too!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Installation and Interface Explanation

Lecture 1: Installation and Interface Explanation

Chapter 3: Basic Syntax, Input and Output Operations

Lecture 1: What will you learn in this section

Lecture 2: Comparison with other programming languages

Lecture 3: Lets start – print Hello World

Lecture 4: Exercise – Print Hello World

Lecture 5: Exercise Solution – Print Hello World

Lecture 6: Indentation in Python

Lecture 7: Example – Indentation

Lecture 8: Exercise 1 – Indentation

Lecture 9: Exercise 1 Solution – Indentation

Lecture 10: Exercise 2 – Indentation

Lecture 11: Exercise 2 Solution – Indentation

Lecture 12: Python Comments

Lecture 13: Comments Examples

Lecture 14: Comments – Exercise 1

Lecture 15: Comments – Exercise 1 Solution

Lecture 16: Comments – Exercise 2

Lecture 17: Exercise 2 Solution and Demo on How to Position Comments

Lecture 18: Position of the Comments

Lecture 19: Variables

Lecture 20: Variables – Example

Lecture 21: Variables – Exercise 1

Lecture 22: Exercise 1 – Solution

Lecture 23: Variables – Exercise 2

Lecture 24: Exercise 2 – Solution

Lecture 25: More About Variables Definitions

Lecture 26: Output Variable

Chapter 4: Data Types in Python

Lecture 1: Data Types

Lecture 2: Practical Demonstration of the Data Types

Lecture 3: Conversions of Data Between Different Data Types

Chapter 5: Operators in Python

Lecture 1: Operators

Lecture 2: Arithmetic Operators

Lecture 3: Assignment Operators

Lecture 4: Comparison Operators

Lecture 5: Logical Operators

Chapter 6: If Statements in Python

Lecture 1: Conditions in Python

Lecture 2: Using IF statements – demo

Chapter 7: Loops in Python

Lecture 1: Loops

Lecture 2: While Loop

Lecture 3: For Loop

Lecture 4: In Range Loop

Lecture 5: Nested Loops

Chapter 8: Data Structure

Lecture 1: Data Structures

Lecture 2: Demo – Working with Data Structures

Chapter 9: Function

Lecture 1: Function in Python

Chapter 10: Working with Libraries

Lecture 1: Working with Libraries

Chapter 11: Final Project

Lecture 1: Final Project

Chapter 12: How to Write Documentation for the Python Application

Lecture 1: How to Write the Documentation

Instructors

JPDocu School of Technical Writing
WE TEACH SOFTWARE DOCUMENTATION AND DITA! 50K+ Students!

Sehrish Aqeel
Professional Instructor, E-Course and Curriculum Developer

Rating Distribution

1 stars: 0 votes

2 stars: 1 votes

3 stars: 7 votes

4 stars: 6 votes

5 stars: 12 votes

Frequently Asked Questions

How long do I have access to the course materials?

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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!