Data Science Using Python and R Book Free Full PDF 2022.

 Data-Science-Using-Python-and-R 

Book Free Full PDF 2022.

Learn Data Sciences in programming with PYTHON and R:

Simplicity, power, performance and fashionable language with a wide community of help are the features of Python. Do you want to start learning it?

Surely! One of the things that fascinates me about technology is that you always have to follow the trend. Keep up to date and always be on the lookout for new knowledge. 

Here are some Python projects for you. Python follows technological trends including data science, artificial intelligence and development projects, which makes it a popular language for companies and scientists. 

For your Python learning, there are several free courses on the Internet for all levels. From simple application programming to Machine Learning combined with Python.

Super convenient with exos. In this article, I will take you to the python environment. We will have installed the necessary prerequisites to launch our first script. Even I am fascinated by Artificial Intelligence through projects I have carried out including facial recognition, we will not talk about it here. 

However, we will nibble on some packages used on Python in data management. The main thing here is to introduce you to Python in order to understand its environment in a global way.

Python for Data Science and AI:

Python for Data Science and AI is a revolutionary course offered by OUR SITE, which promises various career paths. for example, a first degree in statistics, physics, computer engineering or even applied mathematics to demonstrate your quantitative ability. This certificate course is an excellent choice for you. This BOOK is packed with modules to help you learn phyton, analyze and visualize data, and the ability to deploy such skills in real machine learning scenarios. Here is a detailed overview of what you should expect to learn from this course: Python for Data Science and AI Data analysis with Python Data visualization with Python Capstone applied to data science

Who is the author of the Python language?

His name is Guido van Rossum, he was born on 31 January 1956 in Haarlem in the Netherlands, is a developer known for being the creator and leader of the Python programming language project. More details on Wikipedia. Python founder Guido van Rossum Why use the Python language? Python has a short and very readable syntax for a beginner Python is multi-platform, used by tech giants Python has a dynamic typing Python is practical, stable – no break, no release Python is useful in data analysis Python is useful in the field of numerical science/ computation Python is useful in AI – scientific computing, machine learning models Among Python’s application domains, this high-level language is used in network programming, databases and the web (Django), office automation, multimedia, mobile, the industrial sector, etc. How to use Python? Python code programming First of all, a language is a tool. To use Python, you need to download an interpreter on which to execute the code and a software to write code, called IDE. There are several like Pycharm, Anaconda. At this point, you download these tools, then you move on to installation and oops you are ready for your first project. Let’s see this step by step. First: What are Python code editors? There are several of them: Anaconda that I use, brings together many complete bookstores VS Microsoft Code Sublime Text IDLE PATH CMD Jupyter Notebook Psychorm

Why use Python for Data Science?

This course is dedicated to Python for the simple reason that it is one of the most used languages in Data Science. In addition, it is a language that I master and that has proven to solve all my data analysis problems. But also because it is a free, intuitive and very well documented programming language. I want this course to be as complete as possible. So, do not hesitate to contact me if you have any questions or remarks via the help room. It is also thanks to you that I will be able to improve and evolve it. My goal is really to help you become an independent and passionate Data Scientist! Why use R? I chose R for the simple reason that it is one of the most used languages in Data Science. In addition, it is a language that I master and that has proven to solve all my data analysis problems. But also because it is a free, intuitive and very well documented programming language. Finally, R is an extremely effective language for statistical analysis and data mining. I want this course to as complete as possible. Please do not hesitate to contact me if you have any questions or comments about this course. It is also thanks to you that I could improve and evolve it. My goal is really to help you become an independent and passionate Data Scientist

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