Are you looking for a complete guide on python? Then keep reading...
Python is a programming language that has several features that makes it very attractive to programmers and developers. First of all, Python is a free programming language which means it is available for anybody. Python is also an open-source language which means you can contribute to the source code if you wish. In fact, Python is a language that is supported by a community that gathers its effort through the internet to improve this language. Python is a language that belongs to the category of high-level languages. This implies that Python does not require compiling like other languages such as C or C++, Fortran, and so on. It implies also that the syntax of Python is very easy to use and learn. These features make Python programs to be easily developed, interpreted, and maintained at low cost. Therefore, it allows sharing and collaborating to develop applications based on Python very efficient.
Being an easy syntax and high-level programming language does not mean that Python is a very slow programming language. In fact, Python is considered a very competitive and productive language. When compared to other programming languages that are low-level and known to be fast, a Python script can be 3rd or 5th size of a similar script developed with C++ or Java. In addition to requiring less typing and debugging, Python does not require compiling. Once a Python script is developed, it can be run directly without additional steps of compiling or linking to other tools or libraries.
In this book You will be able to learn about:
- Getting Started with Phyton
- Machine Learning with Phyton
- Types of Learning Machine
- Data Analysis with Machine Learning
- Data Science and How It Fits in Machine Learning
- Data science Algorithms and Models
- Data Analysis with Phyton
- How machine learning works for data science
- Use Phyton in Machine Learning
- Functions in Python
- Tips and Tricks for an Expert Phyton Programming
- Performed Python programming exercises on functions, strings, lists and mathematical calculations
and much more!
Python comes with a default library called the standard library which includes a set of modules like the math module for mathematical and numerical programming. Moreover, Python supports using other libraries developed by third parties. There is a wide range of third parties' packages that are available online and allows using advanced tools for
a specific domain (e.g. Numpy library for Numerical programming with Python, Pandas, Matplotlib for developing figures and so on). Hence, when coding with Python language, you have access to a wide set of tools and pre-coded and built-in objects that can be easily used. You never start from scratch because there is a high chance that the function you want to use was already coded and made available for use by anybody.
Python can be considered as a hybrid language in the context that it allows integrating and to be integrated with other programming languages. For instance, you can use pre-coded or compiled libraries that are written in C or C++ within Python. You can also call Python codes from scripts that are written in C or C++.
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