Python for Study and Work. How to Master the Most Powerful Programming Language for Your Future Career
We learn simply, we apply professionally. A guide for those who need to get acquainted with Python Today, programming skills are required not only in IT-related professions. Even if you are not engaged in professional software development, you may need to...
write a computer program or participate in development as part of scientific projects or in professional practice. In addition, programming greatly develops logical thinking. Those who are skilled in it can analyze problems better and find solutions quickly. This book is especially useful for those who have just started learning Python and do not have deep knowledge. All topics are explained as simply as possible, and exercises and practical examples cover a wide range of applications. So you will be optimally prepared for a wide variety of tasks. The guide can be used both as the main material for an advanced programming course and for self-study.
• Data types • Control structures • Functions and modules • Data storage • Graphical user interfaces • Object-oriented programming • SQL databases with sqlite3 • Scientific computing with NumPy • Data visualization with matplotlib • Using CoLab and Python Anywhere • Web programming with CGI and WSGI • Professional software development • Starter projects
We learn simply, we apply professionally. A guide for those who need to get acquainted with Python Today, programming skills are required not only in IT-related professions. Even if you are not engaged in professional software development, you may need to write a computer program or participate in development as part of scientific projects or in professional practice. In addition, programming greatly develops logical thinking. Those who are skilled in it can analyze problems better and find solutions quickly. This book is especially useful for those who have just started learning Python and do not have deep knowledge. All topics are explained as simply as possible, and exercises and practical examples cover a wide range of applications. So you will be optimally prepared for a wide variety of tasks. The guide can be used both as the main material for an advanced programming course and for self-study.
• Data types • Control structures • Functions and modules • Data storage • Graphical user interfaces • Object-oriented programming • SQL databases with sqlite3 • Scientific computing with NumPy • Data visualization with matplotlib • Using CoLab and Python Anywhere • Web programming with CGI and WSGI • Professional software development • Starter projects
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