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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-for-science-crashcourse/
课程评论：没有评论
课程名称：Python与Jupyter科学速成课程！ 课程概述：我们相信，Python是现代科学和工程的最佳助手，我们热衷于教会您这些知识！本课程旨在展示我们在Python中喜欢的所有库和工具箱，通过实际项目来提高您的技能水平，超越大多数基础的Udemy课程。我们将直接进入实操中，不必担心，如果有需要，我们会提供额外信息和背景知识。此外，您无需具备特殊的科学知识即可跟随本课程! 该课程适合学生、科学家、工程师、研究生以及任何对科学领域与Python结合感兴趣的人。尤其适合需要撰写论文并希望以最专业的方式处理和可视化数据的学员。对于初学者，我们提供了Python入门章节！Python是一种应用广泛、易于学习的编程语言，开源并提供大量库以满足各种任务的需求。在当今的工作中，编程技能变得必不可少。 课程内容包括： - 软件安装与设置（Anaconda、Jupyter Notebooks、JupyterLab） - Jupyter和Python基础（语法、数据类型、运算符、控制结构、模块、库导入与查找、使用文档） - 科学包介绍及其语法（Pandas、Matplotlib、Numpy、SciPy等） - 项目1：实验数据分析（例如：锂离子电池的电阻） - 全自动工作流：读取和过滤数据（Pandas）、数据处理（Numpy）、数据拟合（SciPy插值）、符号计算（SymPy）、统计分析 - 项目2：数值模拟（例如：热量模拟） - 数组操作（Numpy）、嵌套for循环、热力图（Seaborn）、使用Voila创建仪表盘 我们投入了大量精力来制作这门课程，希望您会喜欢！如果您有任何问题，请随时与我们联系！
We believe that Python is the best and modern way to assist you in Science and Engineering and we would love to teach it to you!:)With this course we want to show you the full arsenal of libraries and toolboxes we like in Python! With this course we want to raise the bar and lift you up on a higher level than most basic Udemy courses do! This course offers a really practical approach and we will build real projects. We will dive right into the practial work! But don't worry if necessary we will help with additional Information and background knowledge! Also no special Science knowledge is necessary to follow along!This course is suitable for Students, Scientists, Engineers, Students, PhDs and everyone interested in the field scientific working with Python. It is also perfect for everyone that has to write a thesis and wants to learn how to manipulate and visualize the Data in the best and most professional way. For Beginners we offer a basic chapter with an Introduction to Python! Python is one of the most used programming languages, easy two learn, open source and offers a massive range of libraries for all kinds of tasks. In many jobs programming is essential nowadays! We both studied Engineering and Science, tried many different tools to analyze Data and we both believe python is the best way to do it!Enough with the nice words. What can you expect from the course:Introduction and Setup Software (Anaconda JupyterNotebooks Jupyterlab) -> If you just want to see if Jupyter is the right tool you can start running jupyter on a server! I prepared a mybinder server for you! (No installation necessary!)Jupyter and Python basics (Syntax, Data types, Operators, control structures, Modules, Import an find Libraries, use documentation)Introduction to Scientific Packages + Syntax (Pandas, Matplotlib, Numpy, SciPy...)Project 1: Experimental Data analysis (Example: Resistance of Lithium Ion Batteries) - Full automatic Workflow Read Data and Filter Data (Pandas) Manipulate Data (Numpy) Fit Data (SciPy interpolate) Symbolic Math (SymPy) StatisticsProject 2: Numerical Simulation (Example: Heat Simulation) - Manipulate Arrays (Numpy) Nested for loops Heat Maps (Seaborn) Create Dashboard with VoilaWe put a lot of effort in this course and we hope you like it!:) If you have any questions don't hesitate an contact us!
