Platform coins are cryptocurrencies issued by digital currency trading platforms, which are mainly used for ecological construction and user rights incentives within the platform. Compared with ordinary virtual coins, platform coins are not only an investment asset, but also an important link connecting users and platforms.

Bitcoin does not have an official app, and users mainly trade and manage them through third-party exchanges or account apps. 1. Binance has comprehensive functions and is suitable for all kinds of traders; 2. OKX provides integrated trading and Web3 accounts; 3. Huobi (HTX) is stable and reliable in the Asian market; 4. Gate.io is known for its rich currency; 5. KuCoin has diverse currencies and active communities; 6. Bybit is known for its derivatives trading. When downloading, you should visit the official website, scan the QR code, complete the installation according to the system, and set up security measures such as two-factor verification to ensure the security of the account.

In Python, the following points should be noted when merging strings using the join() method: 1. Use the str.join() method, the previous string is used as a linker when calling, and the iterable object in the brackets contains the string to be connected; 2. Make sure that the elements in the list are all strings, and if they contain non-string types, they need to be converted first; 3. When processing nested lists, you must flatten the structure before connecting.

USDC is safer than USDT. 1. In terms of reserve assets and transparency, USDC is composed of cash and US Treasury bonds, and is audited and reported publicly every month by Deloitte, with high transparency; while USDT reserves are complex, audit institutions are not top-level, and have low transparency. 2. In terms of regulation and compliance, USDC is issued by the US company Circle, which holds multiple payment licenses and is actively compliant; USDT is under tension due to historical issues and regulatory relations. 3. In terms of issuance entities, USDC was jointly launched by Circle and Coinbase, with a strong background and a clear compliance image; USDT is closely related to Bitfinex, and its independence is questioned. Therefore, users with high security requirements recommend choosing USDC, and those with high liquidity are required

Dogecoin does not have an official app, and users need to trade through third-party exchanges. This article recommends 6 platforms and provides usage steps. 1. Binance: Large transaction volume and comprehensive functions; 2. Ouyi: Integrated accounts and NFT markets; 3. Huobi: High security; 4. Gate.io: Rich currency types; 5. KuCoin: Fast listing speed; 6. Kraken: Strong compliance. Downloading requires the official channel to complete registration, identity verification, recharge, and transaction of Dogecoin (DOGE) and ensure account security, enable 2FA and set complex passwords.

There are three common methods for deduplication in Python. 1. Use set deduplication: It is suitable for situations where you don’t care about the order, and is implemented through list(set(my_list)). The advantage is that it is simple and fast, and the disadvantage is to disrupt the order; 2. Manually judge the deduplication: By traversing the original list and determining whether the elements already exist in the new list, the elements that appear for the first time are retained, which is suitable for scenarios where order needs to be maintained; 3. dict.fromkeys() deduplication: supported by Python 3.7, implemented through list(dict.fromkeys(my_list)), which maintains both the order and the writing method is concise. It is recommended to use modern Python. Notes include first converting the structure when dealing with non-hashable elements. It is recommended to use large data sets.

To master Python web crawlers, you need to grasp three core steps: 1. Use requests to initiate a request, obtain web page content through get method, pay attention to setting headers, handling exceptions, and complying with robots.txt; 2. Use BeautifulSoup or XPath to extract data. The former is suitable for simple parsing, while the latter is more flexible and suitable for complex structures; 3. Use Selenium to simulate browser operations for dynamic loading content. Although the speed is slow, it can cope with complex pages. You can also try to find a website API interface to improve efficiency.

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