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Exploratory
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Figure Eight
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Pandas
Lambda SchoolPandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.
Based on our record, Pandas seems to be a lot more popular than Lambda School. While we know about 231 links to Pandas, we've tracked only 19 mentions of Lambda School. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Feature transformations should be deterministic: The same input should produce the same output when the same feature definition and configuration are applied. This is what allows training, backtesting, and live inference to remain aligned. Tools such as Pandas, Spark, or feature platforms such as Feast can be used to implement that logic. - Source: dev.to / 3 months ago
For early-career security practitioners (0-3 years). Start with Python literacy if you do not have it. The free Python Crash Course book and the pandas getting-started guide are enough to bootstrap. Then a hands-on applied course: GTK Cyber's Applied Data Science & AI for Cybersecurity and SANS SEC595 are both reasonable starting points. The goal at this stage is to be able to load a Zeek conn.log into a pandas... - Source: dev.to / 3 months ago
Python and data engineering for security data. Pandas for ingesting Zeek, Sysmon, EDR, and SIEM exports. Timestamp normalization to UTC, join keys across heterogeneous sources, feature extraction from raw logs. Without this layer, the ML content downstream is theater. - Source: dev.to / 3 months ago
Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / 3 months ago
Pandas url is the most widely used library for data manipulation. - Source: dev.to / 3 months ago
Https://lambdaschool.com/ - a remote-first bootcamp that has a unique way of paying. No upfront cost, but they take a % of your salary when you get a job for the first two years until you pay their full cost. Worth reading up on some of the criticism of them before signing up, though. Source: almost 5 years ago
Https://lambdaschool.com/ (these guys offer a free intro, might be good to test out and see if their style is to your liking.). Source: almost 5 years ago
While you don't need a boot camp, I highly recommend Lambda School (https://lambdaschool.com). They charge nothing upfront and you only pay them back (17% up to $30k) when you get a high paying job. They have great partnerships with employers and help place students so that's the biggest reason I recommend them. Source: almost 5 years ago
Have you considered https://lambdaschool.com/? You don't pay for tuition upfront, and they place you with a paid internship after, and if you get a job you start paying a small part of your salary to them for two years. Source: almost 5 years ago
Would you consider going through a school with an Income Share Agreement where you pay no tuition up front but pay it as part of your well paying job later? Eg https://lambdaschool.com. Source: almost 5 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
TripleTen - TripleTen: online part-time coding bootcamps.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Hack Club - Free and open source high school coding clubs ๐๐ฅ
OpenCV - OpenCV is the world's biggest computer vision library
Holberton School - High-quality software engineering education for the many