Python tutorial deutsch pdf

In this PyQt5 tutorial we'll cover how to avoid this happening and keep your applications running smoothly, no matter the workload. All but the simplest of apps will usually need to interact with some kind of external data store — whether that's a database, a remote API or simple configuration data.

The Qt ModelView architecture simplifies the linking and updating your UI with data in custom formats or from external sources. Qt's MVC-like interface for displaying data in views Displaying tabular data in Qt5 ModelViews Create customized table views with conditional formatting, numpy and pandas data sources. Start now. Python is one of the most popular languages in the data science and machine learning fields.

Effective visualization of data is a key part of building usable interfaces for data science. Matplotlib is the most popular plotting library in Python, and comes with support for PyQt built in. In addition, there are PyQt-specific plotting options available such as PyQtGraph which provide a better interactive experience. In this tutorial we'll look at these alternatives and build some simple plot interfaces. Using this you can create dynamic interactive interfaces for anything from vector graphics tools, data analysis workflow designers to simple 2D games.

Creating vector interfaces using the QGraphics View framework Start now. Widgets in Qt are built on bitmap graphics — drawing pixels on a rectangular canvas to construct the "widget". To be able to create your own custom widgets you first need to understand how the QPainter system works and what you can do with it.

In this PyQt5 tutorial we'll go from basic bitmap graphics to our own entirely custom widget. There comes a point in any app's development where it needs to leave home — half the fun in writing software is being able to share it with other people. Packaging Python GUI apps can be a little tricky, but in this PyQt5 tutorial we'll cover how to package up your apps to share, whether commercially or just for fun.

Originally developed for use in mobile applications, it offers dynamic graphical elements and fluid transitions and effects allowing you to replicate the kinds of UIs you find on mobile devices.

But here you need to understand that you have not lost anything and have not earned anything until you have sold your stocks. Perhaps this is the central idea of the whole book. By buying shares, an investor buys a stake in a business. And if this business is good, then the drop in quotations should not frighten the investor, because he will rather be happy about the "sale" and buy more securities.

A passive investor does not want to participate in portfolio management at all and simply receives dividends and coupon returns. It is worth including shares of most reliable companies in the portfolio, including only shares of large and successful corporations. It's hard to argue with this.

Today, even 10 companies are not considered optimal diversification. Now there are ETFs on the market that allow you to invest in dozens, hundreds or even thousands of companies at once. But it is very important that this diversification is present. Our investors often ignore this principle and add shares of only one company to the portfolio for all the money, and most often illiquid from the third echelon.

And Graham warns not only against this, but also against buying shares in only one successful company. It would seem that Apple shares are always growing. So why buy something else? But we are facing a classic mistake: profitability in the past is not a guarantee of future success. Methods of File Objects 7. Saving structured data with json 8.

Errors and Exceptions 8. Syntax Errors 8. Exceptions 8. Handling Exceptions 8. Raising Exceptions 8. Exception Chaining 8. User-defined Exceptions 8. Defining Clean-up Actions 8. Predefined Clean-up Actions 9.

Classes 9. A Word About Names and Objects 9. Python Scopes and Namespaces 9. Scopes and Namespaces Example 9. A First Look at Classes 9. Class Definition Syntax 9.

Class Objects 9. Instance Objects 9. Method Objects 9. Class and Instance Variables 9. Random Remarks 9. Inheritance 9. Multiple Inheritance 9. Private Variables 9. Odds and Ends 9. Iterators 9. Generators 9. Generator Expressions Brief Tour of the Standard Library Operating System Interface File Wildcards Command Line Arguments Error Output Redirection and Program Termination String Pattern Matching Mathematics Internet Access Dates and Times Data Compression Performance Measurement Quality Control Batteries Included Output Formatting Templating Working with Binary Data Record Layouts Multi-threading Logging Weak References Tools for Working with Lists