timothycrosley

  with open("output.csv", "w") as csv_file:
    for i in range(1_000_001):
      csv_file.write(",".join([str(i)] * 100))  # creating 100 columns per entry out of a million
      csv_file.write("\n")

  import sys
    
  for row in open("output.csv"):
    if "1000000" in row.split(","):
      print(row)
      break
  else: 
    sys.exit("row 1 million not found!")

  real    0m3.267s
  user    0m2.589s
  sys     0m0.608s

  real    0m6.132s
  user    0m5.954s
  sys     0m0.162s

  Location: Seattle, WA, USA
  Remote: Yes
  Willing to relocate: No
  Technologies/Languages: Python, JavaScript, C/C++, Ruby, YAML, TOML, HTML, CSS, Sass, LESS.
  Technologies/Frameworks: Spark, Hive, Django, Compass, Zope, QT, PySide, GTK, TK, MEAN, Angular, hug, flask.
  Technologies/Databases and Caches: Hadoop, Oracle, PostgreSQL, MYSQL, MongoDB, Redis, Memcache, ElasticSearch, Solr, Google’s Cloud Datastore.
  Resume/CV: github.com/timothycrosley, timothycrosley.com
  Email: [email protected]