NumPy is a library for scientific computing in Python. It provides tools for working with arrays of data, including functions for mathematical operations, linear algebra, and random number generation.
👉🏻One of the key features of NumPy is its array data structure, which is similar to a list but allows for more efficient mathematical operations on large datasets. NumPy arrays can be created from existing data, such as lists or tuples, using the np.array() function.
👉🏻Once an array has been created, it can be manipulated using various NumPy functions. For example, the np.mean() function can be used to compute the mean of an array, and the np.random.rand() function can be used to generate random numbers.
👉🏻In addition to its array data structure, NumPy also provides a wide range of mathematical functions for working with arrays, such as linear algebra operations, statistical functions, and trigonometric functions. These functions can be applied to arrays element-wise, allowing for efficient computation on large datasets.
Overall, NumPy is a powerful library for working with arrays of data in Python, and is widely used in the fields of scientific computing, data science, and machine learning.
NumPy is a library for scientific computing in Python. It provides tools for working with arrays of data, including functions for mathematical operations, linear algebra, and random number generation.
👉🏻One of the key features of NumPy is its array data structure, which is similar to a list but allows for more efficient mathematical operations on large datasets. NumPy arrays can be created from existing data, such as lists or tuples, using the np.array() function.
👉🏻Once an array has been created, it can be manipulated using various NumPy functions. For example, the np.mean() function can be used to compute the mean of an array, and the np.random.rand() function can be used to generate random numbers.
👉🏻In addition to its array data structure, NumPy also provides a wide range of mathematical functions for working with arrays, such as linear algebra operations, statistical functions, and trigonometric functions. These functions can be applied to arrays element-wise, allowing for efficient computation on large datasets.
Overall, NumPy is a powerful library for working with arrays of data in Python, and is widely used in the fields of scientific computing, data science, and machine learning.
Most people buy Bitcoin via exchanges, such as Coinbase. Exchanges allow you to buy, sell and hold cryptocurrency, and setting up an account is similar to opening a brokerage account—you’ll need to verify your identity and provide some kind of funding source, such as a bank account or debit card. Major exchanges include Coinbase, Kraken, and Gemini. You can also buy Bitcoin at a broker like Robinhood. Regardless of where you buy your Bitcoin, you’ll need a digital wallet in which to store it. This might be what’s called a hot wallet or a cold wallet. A hot wallet (also called an online wallet) is stored by an exchange or a provider in the cloud. Providers of online wallets include Exodus, Electrum and Mycelium. A cold wallet (or mobile wallet) is an offline device used to store Bitcoin and is not connected to the Internet. Some mobile wallet options include Trezor and Ledger.
Should You Buy Bitcoin?
In general, many financial experts support their clients’ desire to buy cryptocurrency, but they don’t recommend it unless clients express interest. “The biggest concern for us is if someone wants to invest in crypto and the investment they choose doesn’t do well, and then all of a sudden they can’t send their kids to college,” says Ian Harvey, a certified financial planner (CFP) in New York City. “Then it wasn’t worth the risk.” The speculative nature of cryptocurrency leads some planners to recommend it for clients’ “side” investments. “Some call it a Vegas account,” says Scott Hammel, a CFP in Dallas. “Let’s keep this away from our real long-term perspective, make sure it doesn’t become too large a portion of your portfolio.” In a very real sense, Bitcoin is like a single stock, and advisors wouldn’t recommend putting a sizable part of your portfolio into any one company. At most, planners suggest putting no more than 1% to 10% into Bitcoin if you’re passionate about it. “If it was one stock, you would never allocate any significant portion of your portfolio to it,” Hammel says.
