source such as the macOS Homebrew package manager and globally installed packages from pip such as pandas and NumPy, you do not need to uninstall, remove, or change any of them before using conda. Install to share with others. EXAMPLE: A simple environment file: name: stats dependencies: - numpy - pandas EXAMPLE: A more complex environment file: name: stats2 channels: - javascript dependencies: - is the "pandas" channel. 4. Now that you know the channel name, use the conda install command to install the package. In your terminal window or an Anaconda Prompt, run: conda install -c pandas bottleneck

design a DSL for the user to be able to leverage your hot path capabilities written in C++ ○ Numpy / Pandas / PyTorch are nice DSLs that provide “hot path” C++ functionsWhat Functions to expose in the API begin(), v.end(), reinterpret_cast(result.get_data()));Pandas Columnar data manipulation API built on top of numpyBrief overview of pandas ● Pythonic APIs built on top of numpy to add first class Think of it as a higher level DSL to optimize even more hot path loops than numpy did.The “how” of pandas cdef extern from "numpy/ndarrayobject.h": bint PyArray_CheckScalar(obj) nogil @cython.wraparound(False)

source such as the macOS Homebrew package manager and globally installed packages from pip such as pandas and NumPy, you do not need to uninstall, remove, or change any of them before using conda. Install to share with others. EXAMPLE: A simple environment file: name: stats dependencies: - numpy - pandas EXAMPLE: A more complex environment file: name: stats2 channels: - javascript dependencies: - is the “pandas” channel. 4. Now that you know the channel name, use the conda install command to install the package. In your Terminal window or an Anaconda Prompt, run: conda install -c pandas bottleneck

source such as the macOS Homebrew package manager and globally installed packages from pip such as pandas and NumPy, you do not need to uninstall, remove, or change any of them before using conda. Install to share with others. EXAMPLE: A simple environment file: name: stats dependencies: - numpy - pandas EXAMPLE: A more complex environment file: name: stats2 channels: - javascript dependencies: - is the “pandas” channel. 4. Now that you know the channel name, use the conda install command to install the package. In your Terminal window or an Anaconda Prompt, run: conda install -c pandas bottleneck

source such as the macOS Homebrew package manager and globally installed packages from pip such as pandas and NumPy, you do not need to uninstall, remove, or change any of them before using conda. Install to share with others. EXAMPLE: A simple environment file: name: stats dependencies: - numpy - pandas EXAMPLE: A more complex environment file: name: stats2 channels: - javascript dependencies: - is the "pandas" channel. 4. Now that you know the channel name, use the conda install command to install the package. In your terminal window or an Anaconda Prompt, run: conda install -c pandas bottleneck

source such as the macOS Homebrew package manager and globally installed packages from pip such as pandas and NumPy, you do not need to uninstall, remove, or change any of them before using conda. Install to share with others. EXAMPLE: A simple environment file: name: stats dependencies: - numpy - pandas EXAMPLE: A more complex environment file: name: stats2 channels: - javascript dependencies: - is the "pandas" channel. 4. Now that you know the channel name, use the conda install command to install the package. In your terminal window or an Anaconda Prompt, run: conda install -c pandas bottleneck

environment, specify them after the environment name: conda create -n myenvironment python numpy pandas For more information on working with environments, see Managing environments. Listing environments to share with others. EXAMPLE: A simple environment file: name: stats dependencies: - numpy - pandas EXAMPLE: A more complex environment file: name: stats2 channels: - javascript dependencies: - example it is the "pandas" channel. 4. Now that you know the channel name, use the conda install command to install the package. In your terminal window, run: conda install -c pandas bottleneck This command

environment, specify them after the environment name: conda create -n myenvironment python numpy pandas For more information on working with environments, see Managing environments. Listing environments to share with others. EXAMPLE: A simple environment file: name: stats dependencies: - numpy - pandas EXAMPLE: A more complex environment file: name: stats2 channels: - javascript dependencies: - example it is the "pandas" channel. 4. Now that you know the channel name, use the conda install command to install the package. In your terminal window, run: conda install -c pandas bottleneck This command

environment, specify them after the environment name: conda create -n myenvironment python numpy pandas For more information on working with environments, see Managing environments. Listing environments to share with others. EXAMPLE: A simple environment file: name: stats dependencies: - numpy - pandas EXAMPLE: A more complex environment file: name: stats2 channels: - javascript dependencies: - example it is the "pandas" channel. 4. Now that you know the channel name, use the conda install command to install the package. In your terminal window, run: conda install -c pandas bottleneck This command

environment, specify them after the environment name: conda create -n myenvironment python numpy pandas For more information on working with environments, see Managing environments. Listing environments to share with others. EXAMPLE: A simple environment file: name: stats dependencies: - numpy - pandas EXAMPLE: A more complex environment file: name: stats2 channels: - javascript dependencies: - example it is the "pandas" channel. 4. Now that you know the channel name, use the conda install command to install the package. In your terminal window, run: conda install -c pandas bottleneck This command