Python Programming for Beginners: Hands-on (Online Lab)

Description

This course will help you to learn the basic concepts of Python programming. From understanding variables to functions and debugging the programs to exception handling, you will master it all with the help of engaging exercises and projects.

With Python, you can build applications, such as Google, Instagram, Spotify, and Reddit. But to make such applications, you should have a strong knowledge of the fundamentals of Python. This course will be your step-by-step guide to master the fundamentals of Python programming. The course starts by walking you through the process of setting up a Python development environment. Next, you will get an overview of the versions and history of Python programming and write a simple 'Hello World' program to understand the structure of Python code. Moving along, you will get a detailed understanding of Python variables, datatypes, built-in functions, conditional statements, and loops. Next, you will learn how to work with lists, tuples, sets, dictionaries, strings, functions, modules, and packages in Python. Later, you will learn to debug your Python program, work with files, and learn how to handle exceptions. Next, you will learn how to use numbers and date and time functions in Python programs and study the concepts of package management. Finally, you will learn to create, activate, and deactivate Python virtual environments and get an overview of comprehensions and decorators. By the end of this course, you will have gained the knowledge and skills of all the basic concepts of Python programming and will be ready to take up advanced Python concepts. The code files and all related files are uploaded on GitHub at https://github.com/PacktPublishing/Python-Programming-for-Beginners-Hands-on-Online-Lab-

Explore Python datatypes variables and functions
Find out how to create and work with modules and packages
Read and write a CSV and binary file
Grasp techniques to handle exceptions
Find out how to debug Python programs
Create, activate, and deactivate Python virtual environments

This course is designed for anyone who is interested in learning the basics of Python programming. There are no prerequisites to take this course as you will learn everything from scratch.

Featuring labs, exercises, and interesting projects, this course takes you through the fundamental concepts of Python programming from scratch.

Gain a solid understanding of the fundamentals of Python 3 * Become comfortable in using Python datatypes, functions, packages, and modules * Apply your learning to write and run simple Python scripts from the Linux terminal

https://github.com/PacktPublishing/Python-Programming-for-Beginners-Hands-on-Online-Lab-

GlobalETraining (brand name - CodingGears) offers self-paced technical courses and makes them easy to learn. They have been in the IT training business for many years, offering training courses in Unix, Windows, C#, Java, Python programming, SQL server, manual testing, automation, and so on. Their instructors have 20+ years of experience in various technical areas such as software development, software testing, Windows systems, and network administration, Unix/Linux systems and network administration, virtualization technologies, storage, shell scripting, database management systems (MS SQL Server, MySQL, IBM DB2, Cassandra), containerization (Dockers), Mesos, Marathon, Jenkins, Jira, Elastic Cloud Storage (ECS), Gluster file system, CoreOS, Ansible, and other areas. CodingGears/GlobalETraining has mentored thousands of students for over a decade and has extensive experience in delivering training-both in-class and online.

1. Welcome

2. Setting up the Python Development Environment

3. Python - Absolute Basics

4. Variables, Data Types, and Built-in Functions

5. Conditional Statements and Loops

6. Working with Lists

7. Working with Tuples

8. Working with Sets

9. Working with Dictionaries

10. Working with Strings

11. Functions

12. Modules and Packages

13. Debugging

14. Working with Files (Files Input/Output)

15. Handling Exceptions

16. Working with Numbers

17. Working with Dates and Times

18. Package Management

19. Python Virtual Environments

20. Comprehensions

21. Decorators

22. Generators

23. Miscellaneous and Additional Resources