https://youssefsan.eu/wiki/index.php?action=history&feed=atom&title=User%3AYoussefsan%2Fbook_wishlist_2 2026-04-14T19:53:30Z Revision history for this page on the wiki MediaWiki 1.22.2 https://youssefsan.eu/wiki/index.php?title=User:Youssefsan/book_wishlist_2&diff=1485&oldid=prev 2025-12-30T13:33:26Z

<p></p> <table class='diff diff-contentalign-left'> <col class='diff-marker' /> <col class='diff-content' /> <col class='diff-marker' /> <col class='diff-content' /> <tr style='vertical-align: top;'> <td colspan='2' style="background-color: white; color:black; text-align: center;">← Older revision</td> <td colspan='2' style="background-color: white; color:black; text-align: center;">Revision as of 13:33, 30 December 2025</td> </tr><tr><td colspan="2" class="diff-lineno">Line 4:</td> <td colspan="2" class="diff-lineno">Line 4:</td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr> <tr><td colspan="2">&#160;</td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">== IT networks ==</ins></div></td></tr> <tr><td colspan="2">&#160;</td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr> <tr><td colspan="2">&#160;</td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* DLFP, [https://linuxfr.org/users/ploploop/journaux/pujoll-ou-tannenbaum ''Journal Pujoll ou Tannenbaum ?''], December 2004</ins></div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>== Python ==</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>== Python ==</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr> </table>

Youssefsan https://youssefsan.eu/wiki/index.php?title=User:Youssefsan/book_wishlist_2&diff=1466&oldid=prev 2025-07-19T10:33:00Z

<p></p> <table class='diff diff-contentalign-left'> <col class='diff-marker' /> <col class='diff-content' /> <col class='diff-marker' /> <col class='diff-content' /> <tr style='vertical-align: top;'> <td colspan='2' style="background-color: white; color:black; text-align: center;">← Older revision</td> <td colspan='2' style="background-color: white; color:black; text-align: center;">Revision as of 10:33, 19 July 2025</td> </tr><tr><td colspan="2" class="diff-lineno">Line 1:</td> <td colspan="2" class="diff-lineno">Line 1:</td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>== Data science ==</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>== Data science ==</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr> <tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>*</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* <ins class="diffchange diffchange-inline">David Hand, [ https://www.amazon.com/Dark-Data-What-Dont-Matters-ebook/dp/B07VZWT2R2/ref=sr_1_1?crid=2YCN5YS0WKBNL&amp;dib=eyJ2IjoiMSJ9.Eo9_wQvsAHe2HPmxLzUcD4kzSqk2iwWXO1DKbmsvEZemUVn6c-Kq_T4aXyUpcdi0DIeftCuHrhFYclNqxAgYnL_EqTTO1RO2NuZlDylxclZ-F0I8VTLWbMM49vLm6WuOxdCSRJISqENsGIKT9dvM_e7hY_K_9hC4qD_ssNxnUtaKmNIGhy68yV0JE-BNnnBj-l0uGLeEwfddfeCxXf5GjHlADPdmj204gsImg6Kw5hA.M0w-ElJ9UzGRn3jR6rtLKFq-rJf48zFOAdwoAmqYOBI&amp;dib_tag=se&amp;keywords=dark+data&amp;qid=1752596256&amp;sprefix=dark+dat%2Caps%2C177&amp;sr=8-1 ''Dark Data: Why What You Don’t Know Matters''], 2020</ins></div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr> </table>

Youssefsan https://youssefsan.eu/wiki/index.php?title=User:Youssefsan/book_wishlist_2&diff=1465&oldid=prev 2025-07-19T10:13:29Z

<p></p> <table class='diff diff-contentalign-left'> <col class='diff-marker' /> <col class='diff-content' /> <col class='diff-marker' /> <col class='diff-content' /> <tr style='vertical-align: top;'> <td colspan='2' style="background-color: white; color:black; text-align: center;">← Older revision</td> <td colspan='2' style="background-color: white; color:black; text-align: center;">Revision as of 10:13, 19 July 2025</td> </tr><tr><td colspan="2" class="diff-lineno">Line 1:</td> <td colspan="2" class="diff-lineno">Line 1:</td></tr> <tr><td colspan="2">&#160;</td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">== Data science ==</ins></div></td></tr> <tr><td colspan="2">&#160;</td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr> <tr><td colspan="2">&#160;</td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">*</ins></div></td></tr> <tr><td colspan="2">&#160;</td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr> <tr><td colspan="2">&#160;</td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>== Python ==</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>== Python ==</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr> </table>

Youssefsan https://youssefsan.eu/wiki/index.php?title=User:Youssefsan/book_wishlist_2&diff=886&oldid=prev 2016-10-30T04:34:28Z

<p></p> <table class='diff diff-contentalign-left'> <col class='diff-marker' /> <col class='diff-content' /> <col class='diff-marker' /> <col class='diff-content' /> <tr style='vertical-align: top;'> <td colspan='2' style="background-color: white; color:black; text-align: center;">← Older revision</td> <td colspan='2' style="background-color: white; color:black; text-align: center;">Revision as of 04:34, 30 October 2016</td> </tr><tr><td colspan="2" class="diff-lineno">Line 9:</td> <td colspan="2" class="diff-lineno">Line 9:</td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [https://www.amazon.com/Numpy-Beginners-Guide-Ivan-Idris/dp/1785281968/ref=sr_1_3?s=books&amp;ie=UTF8&amp;qid=1477733236&amp;sr=1-3&amp;keywords=numpy Numpy Beginner's Guide - Third Edition], June 2015</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [https://www.amazon.com/Numpy-Beginners-Guide-Ivan-Idris/dp/1785281968/ref=sr_1_3?s=books&amp;ie=UTF8&amp;qid=1477733236&amp;sr=1-3&amp;keywords=numpy Numpy Beginner's Guide - Third Edition], June 2015</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [https://www.amazon.com/Fluent-Python-Concise-Effective-Programming/dp/1491946008/ref=sr_1_8?s=books&amp;ie=UTF8&amp;qid=1477733290&amp;sr=1-8&amp;keywords=numpyFluent Python: Clear, Concise, and Effective Programming 1st Edition], August 2015</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [https://www.amazon.com/Fluent-Python-Concise-Effective-Programming/dp/1491946008/ref=sr_1_8?s=books&amp;ie=UTF8&amp;qid=1477733290&amp;sr=1-8&amp;keywords=numpyFluent Python: Clear, Concise, and Effective Programming 1st Edition], August 2015</div></td></tr> <tr><td colspan="2">&#160;</td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [https://www.amazon.com/NumPy-Essentials-Leo-Liang-Huan-Chin/dp/1784393673/ref=sr_1_2?s=books&amp;ie=UTF8&amp;qid=1477733236&amp;sr=1-2&amp;keywords=numpy NumPy Essentials], April 2016</ins></div></td></tr> </table>

Youssefsan https://youssefsan.eu/wiki/index.php?title=User:Youssefsan/book_wishlist_2&diff=885&oldid=prev 2016-10-30T04:32:58Z

<p></p> <table class='diff diff-contentalign-left'> <col class='diff-marker' /> <col class='diff-content' /> <col class='diff-marker' /> <col class='diff-content' /> <tr style='vertical-align: top;'> <td colspan='2' style="background-color: white; color:black; text-align: center;">← Older revision</td> <td colspan='2' style="background-color: white; color:black; text-align: center;">Revision as of 04:32, 30 October 2016</td> </tr><tr><td colspan="2" class="diff-lineno">Line 8:</td> <td colspan="2" class="diff-lineno">Line 8:</td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [https://www.amazon.com/Python-Data-Analysis-Wrangling-IPython/dp/1491957662/ref=sr_1_1?s=books&amp;ie=UTF8&amp;qid=1477733354&amp;sr=1-1&amp;keywords=numpy&amp;refinements=p_n_feature_browse-bin%3A2656022011 Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython], 2nd Edition</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [https://www.amazon.com/Python-Data-Analysis-Wrangling-IPython/dp/1491957662/ref=sr_1_1?s=books&amp;ie=UTF8&amp;qid=1477733354&amp;sr=1-1&amp;keywords=numpy&amp;refinements=p_n_feature_browse-bin%3A2656022011 Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython], 2nd Edition</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [https://www.amazon.com/Numpy-Beginners-Guide-Ivan-Idris/dp/1785281968/ref=sr_1_3?s=books&amp;ie=UTF8&amp;qid=1477733236&amp;sr=1-3&amp;keywords=numpy Numpy Beginner's Guide - Third Edition], June 2015</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [https://www.amazon.com/Numpy-Beginners-Guide-Ivan-Idris/dp/1785281968/ref=sr_1_3?s=books&amp;ie=UTF8&amp;qid=1477733236&amp;sr=1-3&amp;keywords=numpy Numpy Beginner's Guide - Third Edition], June 2015</div></td></tr> <tr><td colspan="2">&#160;</td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [https://www.amazon.com/Fluent-Python-Concise-Effective-Programming/dp/1491946008/ref=sr_1_8?s=books&amp;ie=UTF8&amp;qid=1477733290&amp;sr=1-8&amp;keywords=numpyFluent Python: Clear, Concise, and Effective Programming 1st Edition], August 2015</ins></div></td></tr> </table>

Youssefsan https://youssefsan.eu/wiki/index.php?title=User:Youssefsan/book_wishlist_2&diff=882&oldid=prev 2016-10-29T18:14:19Z

<p></p> <table class='diff diff-contentalign-left'> <col class='diff-marker' /> <col class='diff-content' /> <col class='diff-marker' /> <col class='diff-content' /> <tr style='vertical-align: top;'> <td colspan='2' style="background-color: white; color:black; text-align: center;">← Older revision</td> <td colspan='2' style="background-color: white; color:black; text-align: center;">Revision as of 18:14, 29 October 2016</td> </tr><tr><td colspan="2" class="diff-lineno">Line 7:</td> <td colspan="2" class="diff-lineno">Line 7:</td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [https://www.amazon.com/Introduction-Machine-Learning-Python-Scientists/dp/1449369413/ref=pd_sim_14_1?_encoding=UTF8&amp;pd_rd_i=1449369413&amp;pd_rd_r=SNT7BZX9AQ9E032VZY7B&amp;pd_rd_w=KVPWk&amp;pd_rd_wg=Q5cUe&amp;psc=1&amp;refRID=SNT7BZX9AQ9E032VZY7B Introduction to Machine Learning with Python: A Guide for Data Scientists], 1st Edition</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [https://www.amazon.com/Introduction-Machine-Learning-Python-Scientists/dp/1449369413/ref=pd_sim_14_1?_encoding=UTF8&amp;pd_rd_i=1449369413&amp;pd_rd_r=SNT7BZX9AQ9E032VZY7B&amp;pd_rd_w=KVPWk&amp;pd_rd_wg=Q5cUe&amp;psc=1&amp;refRID=SNT7BZX9AQ9E032VZY7B Introduction to Machine Learning with Python: A Guide for Data Scientists], 1st Edition</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [https://www.amazon.com/Python-Data-Analysis-Wrangling-IPython/dp/1491957662/ref=sr_1_1?s=books&amp;ie=UTF8&amp;qid=1477733354&amp;sr=1-1&amp;keywords=numpy&amp;refinements=p_n_feature_browse-bin%3A2656022011 Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython], 2nd Edition</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [https://www.amazon.com/Python-Data-Analysis-Wrangling-IPython/dp/1491957662/ref=sr_1_1?s=books&amp;ie=UTF8&amp;qid=1477733354&amp;sr=1-1&amp;keywords=numpy&amp;refinements=p_n_feature_browse-bin%3A2656022011 Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython], 2nd Edition</div></td></tr> <tr><td colspan="2">&#160;</td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [https://www.amazon.com/Numpy-Beginners-Guide-Ivan-Idris/dp/1785281968/ref=sr_1_3?s=books&amp;ie=UTF8&amp;qid=1477733236&amp;sr=1-3&amp;keywords=numpy Numpy Beginner's Guide - Third Edition], June 2015</ins></div></td></tr> </table>

Youssefsan https://youssefsan.eu/wiki/index.php?title=User:Youssefsan/book_wishlist_2&diff=881&oldid=prev 2016-10-29T11:47:34Z

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Youssefsan https://youssefsan.eu/wiki/index.php?title=User:Youssefsan/book_wishlist_2&diff=880&oldid=prev 2016-10-29T11:46:52Z

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Youssefsan https://youssefsan.eu/wiki/index.php?title=User:Youssefsan/book_wishlist_2&diff=879&oldid=prev 2016-10-29T11:44:00Z

<p></p> <table class='diff diff-contentalign-left'> <col class='diff-marker' /> <col class='diff-content' /> <col class='diff-marker' /> <col class='diff-content' /> <tr style='vertical-align: top;'> <td colspan='2' style="background-color: white; color:black; text-align: center;">← Older revision</td> <td colspan='2' style="background-color: white; color:black; text-align: center;">Revision as of 11:44, 29 October 2016</td> </tr><tr><td colspan="2" class="diff-lineno">Line 4:</td> <td colspan="2" class="diff-lineno">Line 4:</td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [https://www.amazon.com/Learning-Pandas-Python-Discovery-Analysis/dp/1783985127/ref=sr_1_24?s=books&amp;ie=UTF8&amp;qid=1477733445&amp;sr=1-24&amp;keywords=numpy&amp;refinements=p_n_feature_browse-bin%3A2656022011 Numpy Beginner's Guide - Third Edition Paperback]June 24, 2015</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [https://www.amazon.com/Learning-Pandas-Python-Discovery-Analysis/dp/1783985127/ref=sr_1_24?s=books&amp;ie=UTF8&amp;qid=1477733445&amp;sr=1-24&amp;keywords=numpy&amp;refinements=p_n_feature_browse-bin%3A2656022011 Numpy Beginner's Guide - Third Edition Paperback]June 24, 2015</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [https://www.amazon.com/Python-Machine-Learning-Sebastian-Raschka/dp/1783555130/ref=sr_1_17?s=books&amp;ie=UTF8&amp;qid=1477733445&amp;sr=1-17&amp;keywords=numpy&amp;refinements=p_n_feature_browse-bin%3A2656022011 Python Machine Learning] September 23, 2015</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [https://www.amazon.com/Python-Machine-Learning-Sebastian-Raschka/dp/1783555130/ref=sr_1_17?s=books&amp;ie=UTF8&amp;qid=1477733445&amp;sr=1-17&amp;keywords=numpy&amp;refinements=p_n_feature_browse-bin%3A2656022011 Python Machine Learning] September 23, 2015</div></td></tr> <tr><td colspan="2">&#160;</td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [https://www.amazon.com/Python-Data-Science-Handbook-Essential/dp/1491912057/ref=sr_1_4?s=books&amp;ie=UTF8&amp;qid=1477733354&amp;sr=1-4&amp;keywords=numpy&amp;refinements=p_n_feature_browse-bin%3A2656022011 Python Data Science Handbook: Essential Tools for Working with Data] 1st Edition, 2017</ins></div></td></tr> </table>

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<p></p> <table class='diff diff-contentalign-left'> <col class='diff-marker' /> <col class='diff-content' /> <col class='diff-marker' /> <col class='diff-content' /> <tr style='vertical-align: top;'> <td colspan='2' style="background-color: white; color:black; text-align: center;">← Older revision</td> <td colspan='2' style="background-color: white; color:black; text-align: center;">Revision as of 11:40, 29 October 2016</td> </tr><tr><td colspan="2" class="diff-lineno">Line 3:</td> <td colspan="2" class="diff-lineno">Line 3:</td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [https://www.amazon.com/Learning-Pandas-Python-Discovery-Analysis/dp/1783985127/ref=sr_1_24?s=books&amp;ie=UTF8&amp;qid=1477733445&amp;sr=1-24&amp;keywords=numpy&amp;refinements=p_n_feature_browse-bin%3A2656022011 Learning Pandas - Python Data Discovery and Analysis Made Easy]</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [https://www.amazon.com/Learning-Pandas-Python-Discovery-Analysis/dp/1783985127/ref=sr_1_24?s=books&amp;ie=UTF8&amp;qid=1477733445&amp;sr=1-24&amp;keywords=numpy&amp;refinements=p_n_feature_browse-bin%3A2656022011 Learning Pandas - Python Data Discovery and Analysis Made Easy]</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [https://www.amazon.com/Learning-Pandas-Python-Discovery-Analysis/dp/1783985127/ref=sr_1_24?s=books&amp;ie=UTF8&amp;qid=1477733445&amp;sr=1-24&amp;keywords=numpy&amp;refinements=p_n_feature_browse-bin%3A2656022011 Numpy Beginner's Guide - Third Edition Paperback]June 24, 2015</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [https://www.amazon.com/Learning-Pandas-Python-Discovery-Analysis/dp/1783985127/ref=sr_1_24?s=books&amp;ie=UTF8&amp;qid=1477733445&amp;sr=1-24&amp;keywords=numpy&amp;refinements=p_n_feature_browse-bin%3A2656022011 Numpy Beginner's Guide - Third Edition Paperback]June 24, 2015</div></td></tr> <tr><td colspan="2">&#160;</td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [https://www.amazon.com/Python-Machine-Learning-Sebastian-Raschka/dp/1783555130/ref=sr_1_17?s=books&amp;ie=UTF8&amp;qid=1477733445&amp;sr=1-17&amp;keywords=numpy&amp;refinements=p_n_feature_browse-bin%3A2656022011 Python Machine Learning] September 23, 2015</ins></div></td></tr> </table>

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