Learn the Python programming language Crash Course Full Book Free PDF 2022.

 Learn the Python programming language Crash Course 

Full Book Free PDF 2022.

Learn the Python programming language:

Many of the trainings in progress, web development and data science, offer first a Python training. It is an intuitive and versatile programming language, ideal for beginners. 

Between 1990-1991, an open-source Python programming language was created, guided by the object, in conjunction with the 1991 Java programming language. 

Over time, it has grown in popularity with app developers and web developers. Python is an object-oriented programming language, that is, it aims to represent the elements of reality in virtual form. Let’s see together what makes the Pythonsi programming language popular and why it is strongly recommended to take a comprehensive training to learn how to handle your command lines. 

Python, a versatile language widely used in Data. Python is one of the most widely used programming languages for application developers. 

According to the TIOBE index, an indicator of popularity in programming, Python would be the third most used language by application developers, after C and Java and would be on the way to dethrone its competitors. 

Python is mostly used in writing scripts that allow the automation of file systems. However, this is far from the only purpose of this language. 

Python is also used to develop applications (developers of Spotify and Dropbox applications have made extensive use of this language for example), for the creation of web services or REST APIs, or for metaprogramming and code generation. 

In addition, the Python programming language is increasingly popular in the field of data analysis and artificial intelligence, as it allows sorting and ordering of data so that more resources can be drawn from it.

Python, a flexible and easy to learn language:

Python owes its popularity to its versatility, but also to its flexibility and ease of use. Indeed, there are no fixed rules for programming features or solving problems within Python. In addition, thanks to different test frameworks, such as unit tests (unitests) or pytests, it is possible to automate internal tests to programming and thus avoid coding errors. This is particularly useful and reassuring when you are a beginner. Another advantage is that Python is a relatively simple programming language to understand and thus learn. It follows an organized structure with a simple syntax and allows the most versatile use ranging from simple web applications to complete operating systems. It is now considered the most popular language for beginners in programming, who prefer it today to Java. Finally, since it was set up, Python has generated a large community. This allows users to help each other and share libraries of code and packages, which allow them not to start from scratch when they write their first command line. As you will have understood, becoming a Python application developer will offer you many professional opportunities and will greatly open your prospects. With the democratization of Big Data, more and more companies are sitting on data gold mines. They are therefore looking for a Data Scientist trained in the Python language who can develop applications to sort these data, analyze them and draw conclusions. Following a growing demand, training centres, mostly online, are flourishing all over the web. Many of them start their training with Python fundamentals. In addition to your personal development, obtaining a Python certification will open the doors of many companies. Indeed, Python certification is the first tool that recruiters scrutinize when selecting candidates before giving them the opportunity to demonstrate their skills during an interview. Without the knowledge of this valuable language, the candidate will be at a great disadvantage and deprived of the advantages enjoyed by Python developers.

usefulness of learning Python:

Python is a much higher level language than C++. This means that in Python, many aspects are managed for you (memory management, data representation in memory, etc.). It allows you to think about your programs without that kind of detail, and therefore get a program that does something faster than C++. This has great advantages, such as being more rewarding to use (less effort for more results), but also disadvantages, such as not being able to optimize your programs as much as in C++. To put it simply: in Python, programs are much faster and easier to code, but slower when they run (I’ll come back to this later). Basically, on the other hand, the two languages are still close because they implement the same styles (the exact word is paradigms) of programming: they are both imperative and object oriented. For most programs you can imagine, yes. You can do them as well in Python as in C++, and this more easily, including small video games. On the other hand, for a large 3D video game, Python will soon be limited in terms of performance even if it is possible, in a Python application, to integrate modules and parts of code made in another language (C or C++, typically) : thus, when performance is really a problem in a Python program (which is quite rare, anyway), the critical parts of this program are often encoded in C or C++, while the rest (user interface, network, etc.) is made of Python. This is a way to leverage the strengths of each language/technology.

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