Jupyter Notebook, Anaconda, Python - Полный Курс для Начинающих

Prompt Engineering PRO (ChatGPT, DeepSeek, Art, Video, Music) https://stepik.org/a/193870/pay?promo... Login to IT: All the Essentials. 3 Levels of Explanation https://stepik.org/a/196646/pay?promo... If you can't buy directly from Stepik, order from here: https://avecoders.github.io/ave-coder... Introduction to Artificial Intelligence with Python for Beginners: https://stepik.org/a/193579/pay?promo... Introduction to Artificial Intelligence with Python for Beginners: https://stepik.org/a/193579/pay?promo... Course: "Generation Transformers": Neural Networks for Natural Language Processing (NLP) Outside Swift (Russia, Belarus): https://stepik.org/a/175490 Swift (All Others): https://avecademy.teachable.com/p/01596f Practical Python Course: Stepik: https://stepik.org/a/126242 Udemy: https://www.udemy.com/course/avecoder... Hello, Coder! Just as the path of a true hacker begins with a hoodie and a crate of energy drink, the path of a true data scientist and machine learner begins with installing Anaconda or a virtual environment. In this video, we'll cover the basics of working with Anaconda and Jupyter notebooks. We'll need these two powerful tools for future Data Science and Machine Learning projects. Markdown Cheatsheet: https://github.com/adam-p/markdown-he... Latex and beautiful equations: https://jupyter-notebook.readthedocs.... Magic commands: https://ipython.readthedocs.io/en/sta... Timecodes: 0:00 Installing Anaconda, abbreviated as Conda 0:27 Why do you need it 1:31 Jupyter Notebook 1:38 Environments 1:55 Not installed - mongodb 2:17 If you can't find something, you can ask the community 2:56 By default, we run as root (base (root)). You can add other environments for a specific project 4:06 What is Jupyter? Modal editor. REPL(Read, Eval, Print, Loop) 4:49 New - Python3 5:05 1) Name 5:19 Label to the left of the input field (blue, green) - mode we're in 5:58 Text: Cell - Cell Type - Markdown 6:24 Hotkeys 7:28 Delete a cell and its contents: esc - dd 7:40 Change text size: some number # 8:01 Using formulas: Latex engine 9:10 Jupiter's intended purpose - for calculations 9:21 In (input string) has a serial number [3] Out[] (output/result string) 9:34 Assigning the result of a calculation to a variable: x = Out(6) 9:45 Importing third-party libraries (all those installed in our environment) 10:13 help: question mark after a function: np.sin? 10:37 Usage Examples - 11:05 Markdown Cheatsheet – All Markdown Jupyter Usage Options 11:18 Magic Commands Magic Expressions % 11:31 %% - m.c. for the entire notebook, not just a single cell 12:30 %magic – Help about magic 13:18 Revert to the last save. Checkpoint. File -- Revent to Checkpoint 2:02 PM if you need to move code up or down 2:28 PM Shutdown the Jupiter Kernel Telegram: https://t.me/ave_coder_ru VK: https://vk.com/avecoder Instagram:   / avemundi   #avecoder #anaconda #jupyternotebook #python #conda Support the project: https://www.donationalerts.com/r/avec... paypal.me/avecoder   / avecoder   BTС: 1BmLvUFiJaVpCAwhzW3ZwKzMGWoQRfxsn4 ETH: 0x6f1A488c9b12E782AEF74634a40A79b1631237aB History of Technology:    / АвеТех   ______________________ Hello Coder! My name is V and I'm a coder. I export from England: current tutorials, computer science, brainhacks, lifehacks, coder health, travel on new level, English for coders, how to avoid starving as a coder, humor, and much more. So give me an imperial thumbs up, subscribe, and ring the bell!