Python is an open-source community-supported, a general-purpose programming language that, over the years, has also become one of the bastions of data science. Thanks to its flexibility and vast popularity that data analysis, visualization, and machine learning can be easily carried out with Python.

With this application development course with Python 3, you'll first learn about variables, control flow statements & much more make use of them in Python programs. Then you will learn to use Python's advanced data structures such as lists and dictionaries. Then you will get a hands-on project building such as build a game that consists of a deck of playing cards, Dice-Rolling Simulator in Python, Building Architectural Marvels & much more. Moving further, you'll learn to troubleshoot your python application where you can quickly detect which lines of code are causing problems, and fix them quickly without going through 300 pages of unnecessary detail.

Contents and Overview

This training program includes 3 complete courses, carefully chosen to give you the most comprehensive training possible.

The first course, Begin Python Programming in 7 Days will get you started by setting up your environment and the tools you need to start programming in Python. You will be learning about variables and operators and how to make use of them in Python programs. You will learn all about control flow statements and loops in Python and you will be using them in your programs to solve your coding problems. Then you will learn to use Python's advanced data structures such as lists and dictionaries. You will be able to organize in functions and save time coding by writing code that can be reused. Then, you will learn about Python modules and how to make use of them. On the last day, you will start interacting with files using Python code. The course will give you a strong entry point into programming in general and programming in Python in particular.

The second course, Python By Example explores Python basics, data structures, and algorithms. We'll build a die rolling simulator to see how to use Python dictionaries, loops, functions, and control statements. Then, we will see how we can develop dictionaries that contain other dictionaries to build complex data structures. Next, we will use a modular approach to build a game that consists of a deck of playing cards. We will use object-oriented (OOP) Python classes to do so. We will display the playing cards both in a textual form, which we create, as well as via image files. This will lead to our displaying card images in a graphical form using Python's built-in Tkinter package. In the next part, we will use multiple inheritances with OOP classes. While the Java and C# programming languages are limited to only single inheritance, Python classes can inherit from multiple classes. You will learn how to use multiple inheritances with Python. You will also build Graphical User Interfaces (GUIs). We will use Python's built-in Tkinter package and delve more deeply into GUI programming. By the end of this video tutorial, you will have built some useful utilities using Python. Python is very strong at searching directory folders, replacing words within modules, and much more. You will find these utilities useful in your everyday work as a developer.

The third course, Troubleshooting Python Application Development takes you through a structured journey of performance problems that your application is likely to encounter, and presents both the intuition and the solution to these issues. You'll get things done, without a lengthy detour into how Python is implemented or computational theory. Quickly detect which lines of code are causing problems, and fix them quickly without going through 300 pages of unnecessary detail.

About the Authors:

Colibri Digital is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as big data, data science, machine learning, and cloud computing. Over the past few years, they have worked with some of the world's largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the World's most popular soft drinks companies, helping each of them to make better sense of its data, and process it in more intelligent ways. The company lives by its motto: Data -> Intelligence -> Action.

Rudy Lai is the founder of QuantCopy, a sales acceleration startup using AI to write sales emails to prospects. By taking in leads from your pipelines, QuantCopy researches them online and generates sales emails from that data. It also has a suite of email automation tools to schedule, send, and track email performance—key analytics that all feed back into how our AI generates content. Prior to founding QuantCopy, Rudy ran HighDimension.IO, a machine learning consultancy, where he experienced first-hand the frustrations of outbound sales and prospecting. As a founding partner, he helped startups and enterprises with High Dimension, IO's Machine-Learning-as-a-Service, allowing them to scale up data expertise in the blink of an eye.In the first part of his career, Rudy spent 5+ years in quantitative trading at leading investment banks such as Morgan Stanley. This valuable experience allowed him to witness the power of data, but also the pitfalls of automation using data science and machine learning. Quantitative trading was also a great platform to learn deeply about reinforcement learning and supervised learning topics in a commercial setting. Rudy holds a Computer Science degree from Imperial College London, where he was part of the Dean's List, and received awards such as the Deutsche Bank Artificial Intelligence prize.

Burkhard is a professional software test automation designer, developer, and analyst. He has more than 18 years' professional experience working for several software companies in California, USA. He currently works as an independent Python consultant from New York. He is the author of the Python GUI Programming Recipes using PyQt5 Packt video course. He is the author of Python GUI Programming Cookbook, First and Second Edition. This book is also available as a Packt video course. He is also the author of the Python Projects Packt video course. In his professional career, he has developed advanced in-house testing frameworks written in Python 3. He has also created advanced test automation GUIs in Python, which highly increased the productivity of the software development testing team. When not dreaming in Python code, he reads programming books about design, likes to go for walks, and reads classical poetry.