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6 Jobs You Can Land If You Learn Python

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  6 Jobs You Can Land If You Learn Python Learning Python has gone mainstream. If you haven’t noticed, hundreds of today’s most successful  tech companies are using Python , including Instagram, Netflix, Reddit, Lyft, Google, and Spotify. But it’s also being used at the New York Times, Bloomberg, and even at your local bank. 1. Python Developer Becoming a Python developer is the most direct job out there for someone who knows the Python programming language. A Python developer can be expected to: Build websites Optimize data algorithms Solve data analytics problems Implementing security and data protection Writing reusable, testable and efficient code A wide array of companies listed with Randstad are looking for Python developers. Learn Python today, and tomorrow you could end up as a Python developer working at a startup like Lyft, or larger company like ADP. 2. Product Manager Product managers are responsible for researching new user features, find gaps in the market, and make an ar
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6 Most common AI & ML job interview questions you must prepare for

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 6 Most common AI & ML job interview questions you must prepare for Written by-- Ashish Jha New technologies like artificial intelligence and machine learning are being used by businesses to make big data more worthy. The advancement of modern technologies usage has seen a rise in various sectors like banking, healthcare, manufacturing, telecommunication. A rise in demand is being seen for job roles in fields like data science, artificial intelligence and machine learning. However, cracking a machine learning interview is not easy. Many of the big tech companies are expecting candidates to be extremely talented and technologically sound which is giving a surge to the need for machine learning engineers. We have enlisted some of the top questions of machine learning which will help you land your dream job: 1. What is Machine Learning? One of the most frequently asked questions. In layman terms, machine learning is a method of data analysis that automates analytical model building. A
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Python Tools List 2021

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Python Tools List 2021 Network Scapy: send, sniff and dissect and forge network packets. Usable interactively or as a library pypcap ,  Pcapy  and  pylibpcap : several different Python bindings for libpcap libdnet: low-level networking routines, including interface lookup and Ethernet frame transmission dpkt: fast, simple packet creation/parsing, with definitions for the basic TCP/IP protocols Impacket : craft and decode network packets. Includes support for higher-level protocols such as NMB and SMB pynids: libnids wrapper offering sniffing, IP defragmentation, TCP stream reassembly and port scan detection Dirtbags py-pcap: read pcap files without libpcap flowgrep : grep through packet payloads using regular expressions Knock Subdomain Scan , enumerate subdomains on a target domain through a wordlist SubBrute , fast subdomain enumeration tool Mallory, extensible TCP/UDP man-in-the-middle proxy, supports modifying non-standard protocols on the fly Pytbull : flexible IDS/IPS testing fra
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The Top 10 Python Frameworks For Web Development💻

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The Top 10 Python Frameworks For Web Development Get the “ Top 10 Python Web Frameworks ” build, which contains a version of Python and most of the tools listed in this post so you can test them out for yourself. Python web frameworks have always been key to web development, even though Python gets a lot of kudos for its use in the Machine Learning space these days. In fact, whenever I whip up a prototype of a new idea, I usually wrap it around a web server before I test it out, or ask others to evaluate it. A web-based interface makes it far easier to interact with prototypes. In most cases, you don’t even need a GUI – a simple API served up by a web server can make your prototype just as easy to interact with. I usually pick a quick and easy web server like Python’s Flask, but there are hundreds of web frameworks in Python. This post highlights many of the major Python web frameworks, from the old guard that have been under development for more than a decade (like Django) to newcomer
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