KobaKhit

# http://srome.github.io/Parsing-HTML-Tables-in-Python-with-BeautifulSoup-and-pandas/
class HTMLTableParser:
    @staticmethod
    def get_element(node):
        # for XPATH we have to count only for nodes with same type!
        length = len(list(node.previous_siblings)) + 1
        if (length) > 1:
            return '%s:nth-child(%s)' % (node.name, length)
        else:
            return node.name

KobaKhit

df = read.csv("your-df.csv")

# Number of items in each chunk
elements_per_chunk = 100000

# List of vectors [1] 1:100000, [2] 100001:200000, ...
l = split(1:nrow(df), ceiling(seq_along(1:nrow(df))/elements_per_chunk))

# Write large data frame to csv in chunks
fname = "inventory-cleaned.csv"

KobaKhit

<!-- Produces a responsive list of top ten posts from a subreddit /worldnews. Working jsfiddle http://jsfiddle.net/KobaKhit/t42zkbnk/ -->
<div id="posts">
    <h2> Today's top ten news <small>from <a href = '//reddit.com/r/worldnews' target = '_blank'>/r/worldnews</a></small></h2>
    <hr>
    <ul class="list-unstyled"></ul>
</div>

<!-- JS -->
<script src="https://rawgit.com/sahilm/reddit.js/master/reddit.js"></script>
<script src="https://code.jquery.com/jquery-2.1.3.min.js"></script>