Python for Scientific Research
- Description
- Curriculum
- FAQ
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Are you looking for an efficient and unlimited tool for processing data, performing statistics, and creating graphs in scientific research? Look no further than this tutorial, where you will learn Python programming for research through real examples from different fields.
As an Assistant Professor of Remote Sensing and GBD Collaborator at Soran University and the University of Washington, respectively, with over 10 years of experience in Python and R programming, Java Script, Big Data, Remote Sensing/GIS, Earth Observation, and Climate, I am excited to share my knowledge with you. With a Ph.D. in Geography (Remote Sensing) from the University of Leicester and about 30 peer-reviewed papers published, I have the expertise to help you learn.
Through this course, you will master the manipulation, import, and export of data, descriptive statistics, relationships, multi-correlation, ANOVA, and t-test using Python for scientific research. You will also become proficient in creating basic, advanced, and animated graphs using Python codes.
Not only will you become a skilled practitioner, but you will also have the opportunity to use your creativity in data processing, statistics, and graph creation in scientific research. Unlike software such as SPSS and Excel, programming-based tools like Python offer unlimited possibilities.
With each video, you will learn valuable concepts that you can apply right away in your research. By the end of the course, you will be able to use jupyter notebook for scientific research and create custom Python scripts to perform complex research tasks.
Take the first step towards improving your research by enrolling in this tutorial today.
Sincerely,
Assist. Prof. Azad Rasul
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Course Script -
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Install Miniconda and Python 3 on WindowsThere are various ways to install and run Python along with its tools and libraries. In this learning series, we will be using "Miniconda" to install and run Python. Miniconda is a smaller version of Anaconda that comes with Python, conda, and a few pre-installed packages, including pip.
To get started, visit the Miniconda website: https://docs.conda.io/en/latest/miniconda.html and download the appropriate version for your computer. For example, I will be downloading "Miniconda 3 Windows 64-bit" for my computer.
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How to Create Environments and Install Packages in Python
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What command is used to create a new environment in Miniconda? -
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How to Install and Run jupyter notebook
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Run a Python program
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What is a correct syntax to output "Hello World" in Python?
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What is the correct file extension for Python files?
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Types of data in python
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What is the correct syntax to output the type of a variable or object in Python?
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Control Flow in Python
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How do you start writing an if statement in Python?
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How do you insert COMMENTS in Python code?
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Functions in Python
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What is the correct way to create a function in Python?
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Modules in Python
In Python, modules allow us to use a set of functions without the need to redefine them. We can group related modules to create a package. Here is an example of a simple module:
```python
def hi(name):
print("Hello, " + name)
```
Save this module as "module1" in your directory.
To use the module, simply import it as follows:
```python
import module1
module1.hi("Ali")
# Hello, Ali
```
#### Built-in module
Python comes with several built-in modules that we can import and use in our programs. For instance, we can use the "platform" module to get information about the operating system:
```python
import platform
print(platform.system())
# Windows
```
We can also import modules from a package:
```python
import matplotlib.pyplot as plt
```
