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ÆÄÀ̽㠵¥ÀÌÅͺм® [±âÃÊ] Àΰ Æò»ý±³À°¿ø ±³À° ¾È³»
ÆÄÀ̽㠵¥ÀÌÅͺм® ±âÃʺÎÅÍ ÇÏ´Â °Á´ ÆÄÀ̽ãÀ» È°¿ëÇÑ µ¥ÀÌÅÍó¸®, µ¥ÀÌÅͺм® °úÁ¤À» 100% ½Ç½À¿¹Á¦·Î¸¸ ÁøÇàÇÏ°í ÀÖ½À´Ï´Ù. ÆÄÀ̽ã ÁêÇÇÅ͸¦ È°¿ëÇÑ µ¥ÀÌÅÍÀÇ ºÐ¼®°ú È°¿ë¿¡ ´ëÇØ °øºÎÇÏ½Ç ¼ö ÀÖ½À´Ï´Ù.
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2³â ¿¬¼Ó IT±³À° ÀΰºÎºÐ 1À§ ¾ËÁö¿À
(±Ù°ÅÀÚ·á)
2003³âºÎÅÍ ¿î¿µÇØ¿Â ¼ö¸¹Àº µ¥ÀÌÅͺ£À̽º¸¦ ±â¹ÝÀ¸·Î
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01.19ºÐ
¸®½ºÆ®¿Í Æ©ÇÃ
¸®½ºÆ®¿Í Æ©Çÿ¡ ´ëÇؼ ÇнÀÇÏ°í ½Ç½ÀÀ» ÁøÇàÇÕ´Ï´Ù.
¸®½ºÆ®/¸®½ºÆ®¾È¿¡ ƯÁ¤¿ä¼Ò È®ÀÎ/Remove ¸Þ¼Òµå/for¸¦ ÀÌ¿ëÇÑ ¹Ýº¹Á¶°Ç/split ¸Þ¼Òµå/Æ©ÇÃ/tuple unpacking
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02.22ºÐ
µñ¼Å³Ê¸®¿Í ¼Â
µñ¼Å³Ê¸®¿Í ¼Â¿¡ ´ëÇؼ ÇнÀÇÏ°í ½Ç½ÀÀ» ÁøÇàÇÕ´Ï´Ù.
µñ¼Å³Ê¸®¿¡ ´ëÇØ ¾Ë¾Æº¸±â/ƯÁ¤ Å° °ªÀ» »èÁ¦ÇÏ´Â ¹æ¹ý/ÀÚµ¿À¸·Î Å°¿Í ¹ë·ù Ãß°¡/ÁýÇÕ ¿¬»ê¿¡ ´ëÇØ ¾Ë¾Æº¸±â/¸î°¡Áö Á¶°Ç½Ä¿¡ ´ëÇØ ¾Ë¾Æº¸±â
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03.21ºÐ
Numpy Part 1
Numpy¸¦ ÀÌ¿ëÇÑ µ¥ÀÌÅÍ Ã³¸® ¹æ¹ý¿¡ ´ëÇØ ¼³¸íÇÕ´Ï´Ù.
Numpy/np.array/¿¿¡ ´ëÇØ Á¢±ÙÇÏ´Â ¹æ¹ý/np.arrange/3Â÷¿ø °ª¿¡ Á¢±ÙÇÏ´Â ¹æ¹ý
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04.25ºÐ
Numpy Part 2
Numpy¸¦ ÀÌ¿ëÇÑ µ¥ÀÌÅÍ Ã³¸® ¹æ¹ý¿¡ ´ëÇØ ¼³¸íÇÕ´Ï´Ù.
°Ë»ö, ¿¬»êÀÚ, Á¤·Ä¿¡ ´ëÇØ »ìÆ캸±â/¼öÄ¡ ºñ±³ ¿¬»ê/transpose ½Ç½À/np.maximum/axis/sort
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05.28ºÐ
Pandas Part 1
Pandas¸¦ ÀÌ¿ëÇÑ µ¥ÀÌÅÍ Ã³¸® ¹æ¹ý¿¡ ´ëÇØ ¼³¸íÇÕ´Ï´Ù.
Pandas¸¦ ÀÌ¿ëÇÑ µ¥ÀÌÅÍ Ã³¸® ¹æ¹ý/obj3.name/µ¥ÀÌÅÍ ÇÁ·¹ÀÓ ´Ù½Ã ¸¸µé¾îº¸±â/¿À» ¼±ÅÃÇÏ°í Á¶ÀÛÇÏ´Â ¹æ¹ý/»èÁ¦ÇÏ´Â ¹ý/df.i loc/Á¶°Ç½ÄÀ» ÀÌ¿ëÇÏ¿© ƯÁ¤ Ä÷³¸¸ Ãâ·ÂÇغ¸±â
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06.22ºÐ
Pandas Part 2
Pandas¸¦ ÀÌ¿ëÇÑ µ¥ÀÌÅÍ Ã³¸® ¹æ¹ý¿¡ ´ëÇØ ¼³¸íÇÕ´Ï´Ù.
µ¥ÀÌÅÍ¿Í °¢Á¾ ºÐ¼® ÇÔ¼ö ´Ù·ïº¸±â/NaNÀ» ó¸®ÇÒ ¼ö ÀÖ°Ô Æ¯Á¤°ªÀ¸·Î ¹Ù²ãº¸±â/µ¥ÀÌÅÍ ºÐ¼®¿ë ÇÔ¼ö¿¡ ´ëÇØ ¾Ë¾Æº¸±â/µ¥ÀÌÅÍ ÇÁ·¹ÀÓ Á¤·Ä¿¡ °ü·ÃµÈ ÇÔ¼ö¿¡ ´ëÇØ ¾Ë¾Æº¸±â/ƯÁ¤ Ä÷³ Ãß°¡Çغ¸±â
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07.20ºÐ
StringProcessing Part 1
StringÀ» ÀÌ¿ëÇÑ µ¥ÀÌÅÍ Ã³¸® ¹æ¹ý¿¡ ´ëÇØ ¼³¸íÇÕ´Ï´Ù.
¹®ÀÚ¿ ó¸® ¹æ¹ý/¹®ÀÚ¿À» ºÐ¸®ÇÏ´Â ¹æ¹ý/¹®ÀÚ¿¿¡¼ °ø¹éÀ» ÀÚµ¿À¸·Î »èÁ¦ÇÏ´Â ¹æ¹ý/¹®ÀÚ¿¿¡ °ø¹éÀ» ³Ö¾î¼ ¿øÇÏ´Â À§Ä¡¿¡ Á¤·ÄÇÏ´Â ¹æ¹ý/¹®ÀÚ¿ Àüü¿¡¼ ƯÁ¤ ¹®ÀÚ¿ ã±â/¹®ÀÚ¿ ¾È¿¡ ¹®ÀÚ°¡ ¸î¹ø ³ª¿À´ÂÁö ¾Ë¾Æº¸±â
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08.21ºÐ
StringProcessing Part 2
StringÀ» ÀÌ¿ëÇÑ µ¥ÀÌÅÍ Ã³¸® ¹æ¹ý¿¡ ´ëÇØ ¼³¸íÇÕ´Ï´Ù.
¼½Ä ÁöÁ¤ÀÚ¿¡ ´ëÇؼ ¾Ë¾Æº¸±â/¼½Ä ÁöÁ¤ÀÚ¸¦ ÀÌ¿ëÇÏ¿© ¹®ÀÚ¿À» Á¤·ÄÇÏ´Â ¹æ¹ý/¹®ÀÚ¿ Æ÷¸ËÆÃ/Æ÷¸Ë ¸Þ¼Òµå ÀåÁ¡/Æ÷¸ËÀ» È°¿ëÇÏ¿© ±Ý¾×¿¡ ÄÞ¸¶ Ãß°¡Çϱâ/for py in pydir
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09.28ºÐ
FileProcessing
±âº»ÀûÀÎ ÆÄÀÏ Ã³¸® ¹æ¹ý¿¡ ´ëÇØ ¼³¸íÇÕ´Ï´Ù.
FileProcessing¿¡ ´ëÇؼ ¾Ë¾Æº¸±â/ÇÑ ¹ø ´õ ƯÁ¤ ÅؽºÆ® ½Ç½ÀÇϱâ/´Ù½Ã Çѹø file ¿¾îº¸±â/s¸¦ ºÙÀÎ ÇüÅÂ/+¸¦ ºÙÀÎ ÇüÅÂ/a+¸¦ ºÙÀÎ ÇüÅÂ
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10.45ºÐ
TextProcessing
ÅؽºÆ® µ¥ÀÌÅÍ Ã³¸®¸¦ À§ÇÑ NLTK(Natural Language Toolkit) ÆÐÅ°ÁöÀÇ ¼³Ä¡¿Í »ç¿ë¹æ¹ýÀ» ¼³¸íÇÕ´Ï´Ù.
Textdata process/¼öÁýÇÑ µ¥ÀÌÅÍ Å×½ºÆ® Çغ¸±â/Comma Á¦°ÅÇÏ´Â Retoknixer/ÅÂ±× Á¤º¸¸¦ È°¿ëÇؼ ¸í»çÀÎ ÅäÅ«¸¸ ¼±ÅÃÇϱâ/Emma¿Í ºñ½ÁÇÏ°Ô »ç¿ëµÈ ³»¿ë »ç¿ëȽ¼ö ã±â/°¢°¢ µîÀåÀι° ºóµµ¼ö
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11.25ºÐ
CSVFileProcessing Part 1
CSV ÆÄÀÏ Ã³¸®¸¦ À§ÇÑ Pandas ¹× CSV ÆÐÅ°Áö È°¿ë ¹æ¹ýÀ» ¼³¸íÇÕ´Ï´Ù.
CSV ÆÄÀÏ Ã³¸®¿¡ ´ëÇÑ È°¿ë ¹æ¹ý/header »ç¿ëÇÏÁö ¾ÊÀ» °æ¿ì/°¢ ¿À» ³ªÅ¸³»´Â index/CSV ÆÄÀÏ »ý¼º ½Ç½ÀÇϱâ/TSV ÆÄÀÏ Àоî¿À±â ½Ç½À
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12.35ºÐ
CSVFileProcessing Part 2
Pandas/Numpy ÆÐÅ°Áö È°¿ëÇÏ¿© CSV ÆÄÀÏ(score.csv, crime.csv) 󸮸¦ ½Ç½ÀÇÕ´Ï´Ù.
CSV ÆÄÀÏ ±¸¼º ºÐ¼®/½ÇÁ¦ columns È®ÀÎÇϱâ À§Çؼ´Â?/¹Ù·Î midTerm ÀÔ·ÂÇÏ´Â °æ¿ì/score join ÁøÇà/finalTerm È®ÀÎ/latitude, longitude »ó°ü¼º ºÐ¼®
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13.38ºÐ
XMLFileProcessing Part 1
Atom, Notepad¿Í °°Àº Language Editing ToolÀ» ÀÌ¿ëÇÏ¿© XMLÀÇ ±¸Á¶¸¦ ÀÍÈ÷°í, °£´ÜÇÑ XML ÆÄÀÏÀ» »ý¼ºÇÕ´Ï´Ù.
XMLÀ̶õ/XMLÆÄÀÏÀ» ¿±â À§Çؼ/element vs attribute/ù¹ø° XMLÆÄÀÏ »ý¼º/neighbor name º¯°æ/data È®ÀÎ/food name Á¤ÀÇ/DFS
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14.25ºÐ
XMLFileProcessing Part 2
XMLÀ» ó¸®Çϱâ À§ÇÑ XML Element Class¿¡ ´ëÇØ ÀÌÇØÇÏ°í, XML Pull Parser¸¦ ÇнÀÇÕ´Ï´Ù. ¶ÇÇÑ, Xpath¸¦ ÀÌ¿ëÇÑ XML Searching¿¡ ´ëÇØ ½Ç½ÀÇÕ´Ï´Ù.
XMLFileProcessing 3°¡Áö Ư¡¿¡ ´ëÇÏ ¾Ë¾Æº¸±â/XML Element È°¿ëÇϱâ/ÇØ´ç root Á¢¼öÇÏ´Â ¹æ½Ä/ElementList 2¹ø°/¸ðµç ·Îµù Á¢±Ù ¹æ¹ý/XML Pull Parser ÇнÀ
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15.22ºÐ
XMLFileProcessing Part 3
Element, SubElement, ElementTree¸¦ ÀÌ¿ëÇÏ¿© XML FileÀ» »ý¼ºÇÏ°í, lxml(È®Àå ¶óÀ̺귯¸®)¸¦ ÀÌ¿ëÇÏ¿© XML FileÀ» »ý¼ºÇÏ´Â ¹æ¹ý¿¡ ´ëÇØ ÇнÀÇÕ´Ï´Ù.
Element, SubElement, ElementTree ¹è¿ì±â/Element, SubElement, ElementTree »ý¼ºÇϱâ/SubElement Size root ¾Ë¾Æº¸±â/Element, SubElement, ElementTree »ý¼ºÈ®ÀÎ/albums Element ÀÌ¿ëÇϱâ/f f ÆÄÀÏ »ý¼ºÇϱâ
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16.22ºÐ
JSONProcessing
Example Json FileÀ» ÅëÇØ, Json ÆÄÀÏ ±¸Á¶¸¦ ÀÍÈ÷°í À̸¦ ÆÄÀ̽ãÀ¸·Î Load, Parsing µîÀ» ¼öÇàÇÏ´Â ¹æ¹ýÀ» ÀÍÈü´Ï´Ù.
JSON À̶õ?/json dumps/json loads/json ÆÄÀÏÀ» ParsingÇÏ¿© »ç¿ëÇϱâ/json ÆÄÀÏÀ» ParsingÇÏ¿© »ç¿ëÇϱâ2/json ÆÄÀÏÀ» ÆÄÀ̽ãÀ¸·ÎºÒ·¯¿À±â
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17.30ºÐ
ImageProcessing Part 1
OpenCV ¶óÀ̺귯¸®¸¦ ÅëÇØ, ÆÄÀ̽㿡¼ À̹ÌÁö ÆÄÀÏÀ» ´Ù·ç´Â ¹æ¹ý ÀÍÈü´Ï´Ù.
OpenCV¶õ?/OpenCV¼³Ä¡ /À̹ÌÁö Ãâ·ÂÇϱâ/À̹ÌÁö Ãâ·ÂÇϱâ2/À̹ÌÁö ȸÀü/À̹ÌÁö Å©±âÁ¶Àý/À̹ÌÁö ÀÚ¸£±â
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18.31ºÐ
ImageProcessing Part 2
OpenCV ¶óÀ̺귯¸®¸¦ ÅëÇØ, ÆÄÀ̽㿡¼ À̹ÌÁö ÆÄÀÏÀ» ´Ù·ç´Â ¹æ¹ý ÀÍÈü´Ï´Ù.
gray-scale/binarizaton/blurring/edge detection/HSV¶õ/ä³ÎºÐ¸® ¹× º´ÇÕ
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19.38ºÐ
ImageProcessing Part 3
OpenCV ¶óÀ̺귯¸®¸¦ ÅëÇØ, ÆÄÀ̽㿡¼ À̹ÌÁö ÆÄÀÏÀ» ´Ù·ç´Â ¹æ¹ý ÀÍÈü´Ï´Ù.
Tranformation/Tranformation2/Contour/Contour2/Contour3/Corner Detection/Blob/Moment
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20.30ºÐ
DataBase
sqlite3 ¶óÀ̺귯¸®¸¦ ÅëÇØ, ÆÄÀ̽㿡¼ µ¥ÀÌÅͺ£À̽º¸¦ ´Ù·ç´Â ¹æ¹ý ÀÍÈü´Ï´Ù.
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21.26ºÐ
Data Visualization Part 1
matplotlib.pyplot ¶óÀ̺귯¸®¸¦ ÅëÇØ, °£´ÜÇÑ µ¥ÀÌÅ͸¦ plotting ÇÏ´Â ¹æ¹ý¿¡ ´ëÇØ ÇнÀÇÕ´Ï´Ù..
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22.35ºÐ
Data Visualization Part 2
matplotlib(scatter/bar) ¶óÀ̺귯¸®¸¦ ÅëÇØ, scatter graph, bar graph¸¦ ±×¸®´Â ¹æ¹ý¿¡ ´ëÇØ ÇнÀÇÕ´Ï´Ù.