course
Intermediate Julia
बुनियादीकौशल स्तर
अद्यतन 09/2023कोर्स मुफ्त में शुरू करें
इसमें शामिल हैअधिमूल्य or टीमें
JuliaProgramming4 घंटा15 videos54 exercises4,500 एक्सपीउपलब्धि का कथन
अपना निःशुल्क खाता बनाएँ
या
जारी रखने पर, आप हमारी उपयोग की शर्तें, हमारी गोपनीयता नीति को स्वीकार करते हैं और यह भी कि आपका डेटा संयुक्त राज्य अमेरिका में संग्रहीत किया जाता है।हजारों कंपनियों में कार्यरत शिक्षार्थियों द्वारा पसंद किया जाता है
दो या दो से अधिक लोगों को प्रशिक्षण देना?
DataCamp for Business को आज़माएँपाठ्यक्रम विवरण
Build on Your Julia Foundations
Building on the core concepts of the introductory course, you will be one step closer to mastering Julia. You will first learn about different loops, one of the most common tools in Julia, and all programming languages.Cover Advanced Julia Data Structures
You'll also cover advanced data structures, including dictionaries, tuples, and structs. In addition, you will learn how to define your own Julia functions for code re-usability and how to time your code to be as efficient as possible.At the end of this course, you'll be able to work with more complex DataFrame operations to inspect and clean a global video game sales dataset broken down by region. You will also be able to leverage your Python and R knowledge in Julia as we introduce the PyCall and RCall packages, allowing you to use Python and R functions in Julia.
By the time you finish, you'll have built a strong Julia programming foundation which you can continue to develop through further courses.
आवश्यक शर्तें
Introduction to Julia1
Loops and Ranges
Loops are one of the core concepts that underpin Julia. In this chapter, you'll learn about for loops and while loops, and how to use them to iterate over data structures that you are already familiar with. You will also cover ranges, a useful tool for generating sequences of data.
2
Data Structures
This chapter focuses on expanding your knowledge of the data structures available in Julia. Learn how to use tuples, dictionaries, multi-dimensional arrays, and structures to store and traverse data quickly and efficiently.
3
Advanced Functions in Julia
In this chapter, you’ll extend your understanding of functions, exploring positional, keyword, and default function arguments. You will also cover code execution timing, getting a strong understanding of how to measure the time your code takes to run. This chapter will round off with a capstone on writing your own functions to solve real-world problems.
4
Dataframe Operations and Python/R Packages in Julia
This final chapter will introduce anonymous functions and will recap one of the powerful features of Julia; multiple dispatch. You will learn how to use functions from Python and R packages within Julia and discover how to clean and modify data within dataframes.
Intermediate Julia
कोर्स पूरा
उपलब्धि प्रमाण पत्र अर्जित करें
इस क्रेडेंशियल को अपने लिंक्डइन प्रोफाइल, रिज्यूमे या सीवी में जोड़ें।इसे सोशल मीडिया पर और अपनी परफॉर्मेंस रिव्यू में साझा करें।
इसमें शामिल हैअधिमूल्य or टीमें
अभी दाखिला लेंजुड़ें 19 मिलियन शिक्षार्थी और आज ही Intermediate Julia शुरू करें!
अपना निःशुल्क खाता बनाएँ
या
जारी रखने पर, आप हमारी उपयोग की शर्तें, हमारी गोपनीयता नीति को स्वीकार करते हैं और यह भी कि आपका डेटा संयुक्त राज्य अमेरिका में संग्रहीत किया जाता है।