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Solving Heterogeneous Programming Challenges with Python, Today

Solving Heterogeneous Programming Challenges with Python, Today
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Complete Hands On Pandas Bootcamp with a Real World Project

[img]https://b.radikal.ru/b00/2110/98/4d0ad46396ba.jpg[/img] [b]Complete Hands On Pandas Bootcamp with a Real World Project[/b] MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 31 lectures (3h 22m) | Size: 899 Master powerful pandas library.

Data Analyst Developer (Java)

Data Analyst Developer (Java)
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If you want to launch a computer science career, this training can get you started for just $40

The heart of tech If you want to launch a computer science career, this training can get you started for just $40 Hot deals courtesy of The Next Web. Hot deals courtesy of The Next Web. TLDR: The 2021 Complete Computer Science Training Bundle includes more than 210 hours of instruction in today’s hottest data science fields like artificial intelligence and machine learning. If you ever stared at lines of computer code and felt like you were trying to decipher a foreign language, the state of Arkansas apparently agrees with you. Under a bill currently being considered by Arkansas lawmakers, courses like programming, AP Computer Science Principles, and Computer Science Standard Level could soon be counted as a foreign language for state high school students. 

Graph Algorithms for Data Science

Graphs For Science Jan 9, 2020 Share Welcome to Graphs For Science, a newsletter dedicated to Graph and Network Algorithms with applications to Data Science. Graphs are simple concepts: a set of individual Nodes (components) connected by Edges (relationships). In this very simplicity lies their power. They can describe the structure of our friendships, connections between airports, the spread of diseases from person to person, the relation of one concept to another, how species interact in an ecosystem or how computers communicate to form the World Wide Web. Networks are the fundamental language of our increasingly complex world and the key to successfully understand it. By exploring in detail the way graphs can be used to explore, describe, analyze and understand empirical datasets we will put you at the forefront of this growing field.

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