The Types in Python Seminar
When coding in Python we can use types. Most developers avoid it. Using types with the right static analysis tool can make a huge difference.
When coding in Python we can use types. Most developers avoid it. Using types with the right static analysis tool can make a huge difference.
Python has a friendly learning curve. When the learner already has some background in programming learning Python is even simpler.
The PHP programming language excels in its simplicity and its easy learning curve. Experienced software developers will find it amazingly simple to learn.
The learning curve of JavaScript is very friendly. When the student already has background in programming it can be even simpler.
Patterns Matching is a classic topic supported by many programming languages, including Scala. You can now properly learn this topic using the seminar we developed.
Scala and Kotlin are very similar. If you happen to know Kotlin we can provide you with an efficient fast training to Scala.
The Scala programming language supports various types of collections. Both mutable and immutable ones.
The use of coroutines allows us to develop asynchronous code with better performance (comparing with using threads) and in a simpler way.
There use of regular expressions in Python is relatively popular. If you still haven’t had the need for regular expression most likely it will happen soon.
Using lambda expressions in Java our code can become shorter and simpler to maintain. Especially when calling higher order functions.
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