Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 691 MB
Genre: eLearning Video | Duration: 15 lectures (1 hours, 26 mins) | Language: English
Learn to install Python 3, Anaconda, conda, Spyder IDE, IPython and Jupyter Notebooks: Dive into the world of Python 3.
What you'll learn
Install and Use Anaconda, conda, Spyder, and Jupyter on a windows computer
Explore Python 3 programming and Data Science further on their own
Use conda to install data science libraries
Requirements
Basic Knowledge of Computers and Mathematics
A Windows PC/ Raspberry Pi with Internet Connection
Zeal and enthusiasm to Learn
Burning desire to take your career to the next level
Description
Become a Master in Anaconda, Conda, Spyder IDE, IPython, and Jupyter Notebooks and acquire employers' few of the most requested skills of 21st Century! A great Python and Data Science engineer earns more than $150000 per year!
This is the most comprehensive, yet straight-forward course for the Anaconda, Conda, Spyder IDE, IPython, and Jupyter Notebook with Python 3 on Udemy! Whether you have never worked with Python 3 before, already know basics of Python, or want to learn the advanced features of Anaconda and Jupyter Notebook with Python 3, this course is for you! In this course we will teach you Anaconda, Conda, Spyder IDE, IPython, and Jupyter.
With over 10 lectures and more than 1 hours of video this comprehensive course leaves no stone unturned in teaching you Anaconda, Conda, Spyder IDE, IPython, and Jupyter with Python 3!
The course has videos on the following topics.
Python 3
Anaconda
Conda
Spyder IDE
IPython
Jupyter
This course will teach you Anaconda, Conda, Spyder IDE, IPython, and Jupyter in a very practical manner, with every lecture comes a full video and a related PF for instructions! Learn in whatever manner is the best for you!
We will start by helping you get Anaconda, Conda, Spyder IDE, IPython, and Jupyter installed on your Windows computer.
Who this course is for:
Data Scientists, Data Analysts, and Data Engineers
Mathematicians, Statisticians, Scientists, and Engineers
Image Processing and Computer Vision Professionals
Machine Learning and AI Professionals
Bioinformatics and Biostatistics professionals
Programmers and Developers
Students, Job seekers, anyone wanting to learn new stuff
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