Python 3 is an incredibly cool programming language that can be used for various purposes. Therefore, it is not only important that you learn Python yourself, but also which tools complement Python perfectly. And that’s why I developed this Python for beginners course – to make you a highly skilled in Python development, no matter what direction you want to go after the course. After completing this Python for beginners course you can write desktop applications, master Python website development, extract data from other websites, collect additional data via cool forms, and evaluate it automatically with Python – the complete workflow.
To this end, we will look at various additional tools in the course:
- The Data Science – Stack: Numpy, Pandas and Matplotlib
- Web – Crawling with “requests” and “beautifulsoup”
- Web – Development with Flask
- Interactive programs with Jupyter notebooks
- Desktop applications with PyQt
My goal is that after completing this Python for Beginners course you will be very good at Python development – no matter what purpose you want to use Python for later. This makes you perfectly prepared for future jobs and projects. Frameworks allow you to save loads and loads of effort and time, when building your programs.
NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
In computer programming, Pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series for maximum Python development capabilities.
Build a web crawler with “requests” and “beautifulsoup” which allows you to read data from a website and reuse it however you like. This is a super powerful tool, which comes in handy on so many occasions.
With Flask you can build websites with Python. Flask is a micro web framework written in Python. It is classified as a microframework because it does not require particular tools or libraries. So you can get started with it super fast.
In this Python for Beginners course, you will also learn how to use PyQt. With PyQt you can build beautiful GUIs (Graphical User Interfaces). Either with code or by just using the Qt Creator, which allows you to drag and drop your UI elements onto your Window. That is not only convenient but also decreases the development time, required to build desktop applications.
Machine learning is a super interesting and demanded area. Python is the programming language to go with when it comes to Machine Learning. So hop aboard and ride with the Python hype train. As you will learn the basics of machine learning with Python in this Python for Beginners course. In the end you are skilled in Python development to the highest degree.
HOW IS THE PYTHON FOR BEGINNERS COURSE STRUCTURED:
First, you learn, how the very basics of Python work. This includes variables, functions, loops, if statements, etc.
Then you learn how to use object-oriented programming. These skills will not only help you with Python programming but also with other programming languages. As soon as you feel comfortable with those skills, you will learn more advanced topics and build more and more interesting and real-world applications such as a web crawler, a twitter bot, a website with flask, data science with NumPy, pandas, and matplotlib. Each chapter contains multiple quizzes, leaflets/handouts, and exercises, which help you to progress steadily.
So you see, the course will make you a complete Python developer in no time.