Did you mean?
Search Results - Showing 0 - 12 Of 124
_ai-programming-with-python-nanodegree-program-aipnd-trailer-60-seconds.webp "Learn Python, NumPy, Pandas, Matplotlib, PyTorch, and Linear Algebra—the foundations for building your own neural network.nnStart learning now: https://www.udacity.com/course/ai-programming-python-nanodegree--nd089")
_numpy-vs-pandas.webp "IBM Technology")
_numpy-vs-pandas-which-python-library-should-you-use.webp "The Comparison Channel")
_vectorized-udf-scalable-analysis-with-python-and-pyspark-li-jin-two-sigma.webp "Over the past few years, Python has become the default language for data scientists. Packages such as pandas, numpy, statsmodel, and scikit-learn have gained great adoption and become the mainstream toolkits. At the same time, Apache Spark has become the de facto standard in processing big data. Spark ships with a Python interface, aka PySpark, however, because Spark’s runtime is implemented on top of JVM, using PySpark with native Python library sometimes results in poor performance and usabi")
⏲ 17 min 50 sec ✓ 11-Jun-2018
_learning-pandas-for-data-analysis-start-here.webp "Rob Mulla")
_numpy-and-pandas-tutorial-124-data-analysis-with-python-124-python-tutorial-for-beginners-124-simplilearn.webp "Simplilearn")
⏲ 2 hours 14 minutes 29 seconds 👁 42.4K
_glafc-gla-1-stream-labs-python-for-data-analytics-numpy-and-pandas-18-dec-friday-715-815.webp "Attendance & Feedback form- https://forms.gle/cLKNDrS6Ty78yXfR6")
⏲ 49 min 28 sec ✓ 11-Dec-2020
_data-analysis-with-python-full-course-for-beginners-numpy-pandas-matplotlib-seaborn.webp "freeCodeCamp.org")
⏲ 4 hours 22 minutes 13 seconds 👁 1.6M
_data-analysis-with-python-course-numpy-pandas-data-visualization.webp "freeCodeCamp.org")
⏲ 9 hours 56 minutes 23 seconds 👁 1.3M
_making-pyspark-amazingfrom-faster-udfs-to-dependency-management-and-graphing-holden-karau-google-and-bryan-cutler-ibm.webp "PySpark is getting awesomer in Spark 2.3 with vectorized UDFs, and there is even more wonderful things on the horizon (and currently available as WIP packages). This talk will start by illustrating how to use PySpark’s new vectorized UDFs to make ML pipeline stages. Since most of us use Python in part because of its wonderful libraries, like pandas, numpy, and antigravity*, it’s important to be able to make sure that our dependencies are available on our cluster. Historically there’s been")
⏲ 18 min 50 sec ✓ 11-Jun-2018
_python-101-learn-the-5-must-know-concepts.webp "Tech With Tim")
_numpy-vs-scipy.webp "IBM Technology")
![[+]](/images/menu.gif){kind=small}