Python for Developers (eBook, ePUB)
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Master python programming language in easy stepsIt is said that learning Python is easy, but if a learner did not get the right path, then things can get complicated. This book is designed in such a way that you start from basics, followed by advance levels and then move on to some industry-related modules.The initial chapters are written in a simple manner; some chapters are of advance level. Start from the data structure of Python, such as string, list, tuple, and dictionary. The function and module chapter will let you know how to organize a large code. The built-in functions and modules li...
Master python programming language in easy steps
It is said that learning Python is easy, but if a learner did not get the right path, then things can get complicated. This book is designed in such a way that you start from basics, followed by advance levels and then move on to some industry-related modules.
The initial chapters are written in a simple manner; some chapters are of advance level. Start from the data structure of Python, such as string, list, tuple, and dictionary. The function and module chapter will let you know how to organize a large code. The built-in functions and modules like collections will give you greater flexibility to write efficient codes. The "time" chapter is very important when we deal with time-related things.
The mid-chapter contains the advance chapters such as regular expressions, interaction with OS, and multithreading. These chapters are helpful when we want to search the pattern, run the OS commands, and execute the program in parallel. The last chapters are specially designed from an industry point of view. In order to ensure a high quality of code, we use config-parser to avoid hard-coding and logger to log the events. In the multiprocessing and subprocess chapter, you will learn creation, execution, and communication between the processes.
It is said that learning Python is easy, but if a learner did not get the right path, then things can get complicated. This book is designed in such a way that you start from basics, followed by advance levels and then move on to some industry-related modules.
The initial chapters are written in a simple manner; some chapters are of advance level. Start from the data structure of Python, such as string, list, tuple, and dictionary. The function and module chapter will let you know how to organize a large code. The built-in functions and modules like collections will give you greater flexibility to write efficient codes. The "time" chapter is very important when we deal with time-related things.
The mid-chapter contains the advance chapters such as regular expressions, interaction with OS, and multithreading. These chapters are helpful when we want to search the pattern, run the OS commands, and execute the program in parallel. The last chapters are specially designed from an industry point of view. In order to ensure a high quality of code, we use config-parser to avoid hard-coding and logger to log the events. In the multiprocessing and subprocess chapter, you will learn creation, execution, and communication between the processes.
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