Fundamentals of python : data structures /
-д хадгалсан:
Үндсэн зохиолч: | Lambert, Kenneth |
---|---|
Формат: | Цахим Цахим ном |
Хэл сонгох: | англи |
Хэвлэсэн: |
Boston :
Cengage Learning,
[2014]
|
Нөхцлүүд: | |
Онлайн хандалт: | An electronic book accessible through the World Wide Web; click to view |
Шошгууд: |
Шошго нэмэх
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
|
Ижил төстэй зүйлс
Professional Python /
-н: Sneeringer, Luke
Хэвлэсэн: (2016)
-н: Sneeringer, Luke
Хэвлэсэн: (2016)
Python data analysis : learn how to apply powerful data analysis techniques with popular open source Python modules /
-н: Idris, Ivan
Хэвлэсэн: (2014)
-н: Idris, Ivan
Хэвлэсэн: (2014)
Python create-modify-reuse /
-н: Knowlton, Jim
Хэвлэсэн: (2008)
-н: Knowlton, Jim
Хэвлэсэн: (2008)
Python power! the comprehensive guide /
-н: Telles, Matthew A.
Хэвлэсэн: (2006)
-н: Telles, Matthew A.
Хэвлэсэн: (2006)
Python testing beginner's guide : an easy and convenient approach to testing your Python projects /
-н: Arbuckle, Daniel
Хэвлэсэн: (2010)
-н: Arbuckle, Daniel
Хэвлэсэн: (2010)
Python programming for teens /
-н: Lambert, Kenneth A.
Хэвлэсэн: (2015)
-н: Lambert, Kenneth A.
Хэвлэсэн: (2015)
Python data visualization cookbook /
-н: Milovanović, Igor
Хэвлэсэн: (2013)
-н: Milovanović, Igor
Хэвлэсэн: (2013)
Learning Python® with Raspberry Pi® /
-н: Bradbury, Alex
Хэвлэсэн: (2014)
-н: Bradbury, Alex
Хэвлэсэн: (2014)
Parallel programming with Python : develop efficient parallel systems using the robust Python environment /
-н: Palach, Jan
Хэвлэсэн: (2014)
-н: Palach, Jan
Хэвлэсэн: (2014)
Testing Python : applying unit testing, TDD, BDD, and acceptance testing /
-н: Sale, David
Хэвлэсэн: (2014)
-н: Sale, David
Хэвлэсэн: (2014)
Beginning programming with Python for dummies /
-н: Mueller, John Paul
Хэвлэсэн: (2014)
-н: Mueller, John Paul
Хэвлэсэн: (2014)
Python programming for the absolute beginner
-н: Dawson, Michael
Хэвлэсэн: (2003)
-н: Dawson, Michael
Хэвлэсэн: (2003)
Python programming for the absolute beginner
-н: Dawson, Michael
Хэвлэсэн: (2010)
-н: Dawson, Michael
Хэвлэсэн: (2010)
Black hat Python : Python programming for hackers and pentesters /
-н: Seitz, Justin
Хэвлэсэн: (2015)
-н: Seitz, Justin
Хэвлэсэн: (2015)
Game programming with Python
-н: Riley, Sean
Хэвлэсэн: (2004)
-н: Riley, Sean
Хэвлэсэн: (2004)
Python testing cookbook over 70 simple but incredibly effective recipes for taking control of automated testing using powerful Python testing tools /
-н: Turnquist, Greg L.
Хэвлэсэн: (2011)
-н: Turnquist, Greg L.
Хэвлэсэн: (2011)
Gray hat Python Python programming for hackers and reverse engineers /
-н: Seitz, Justin
Хэвлэсэн: (2009)
-н: Seitz, Justin
Хэвлэсэн: (2009)
Python tools for visual studio : leverage the power of the visual studio IDE to develop better and more efficient Python projects /
-н: Sabia, Martino
Хэвлэсэн: (2014)
-н: Sabia, Martino
Хэвлэсэн: (2014)
Mastering object-oriented Python : grasp the intricacies of object-oriented programming in Python in order to efficiency build powerful real-world applications /
-н: Lott, Steven F.
Хэвлэсэн: (2014)
-н: Lott, Steven F.
Хэвлэсэн: (2014)
Learning Python design patterns /
-н: Zlobin, Gennadiy
Хэвлэсэн: (2013)
-н: Zlobin, Gennadiy
Хэвлэсэн: (2013)
Python high performance programming /
-н: Lanaro, Gabriele
Хэвлэсэн: (2013)
-н: Lanaro, Gabriele
Хэвлэсэн: (2013)
Python 3 web development beginner's guide use Python to create, theme, and deploy unique web applications /
-н: Anders, Michel
Хэвлэсэн: (2011)
-н: Anders, Michel
Хэвлэсэн: (2011)
Violent Python a cookbook for hackers, forensic analysts, penetration testers and security engineers /
-н: O'Connor, T. J.
Хэвлэсэн: (2013)
-н: O'Connor, T. J.
Хэвлэсэн: (2013)
Python multimedia beginner's guide learn how to develop multimedia applications using Python with this practical step-by-step guide /
-н: Sathaye, Ninad
Хэвлэсэн: (2010)
-н: Sathaye, Ninad
Хэвлэсэн: (2010)
Introduction to computation and programming using Python
-н: Guttag, John
Хэвлэсэн: (2013)
-н: Guttag, John
Хэвлэсэн: (2013)
Learning geospatial analysis with Python /
-н: Lawhead, Joel
Хэвлэсэн: (2013)
-н: Lawhead, Joel
Хэвлэсэн: (2013)
Python 2.6 text processing beginner's guide : the easiest way to learn how to manipulate text with Python /
-н: McNeil, Jeff
Хэвлэсэн: (2010)
-н: McNeil, Jeff
Хэвлэсэн: (2010)
Mastering python regular expressions : leverage regular expressions in python even for the most complex features /
-н: Lopez, Felix
Хэвлэсэн: (2014)
-н: Lopez, Felix
Хэвлэсэн: (2014)
Learning Python data visualization : master how to build dynamic HTML5-ready SVG charts using Python and the pygal library /
-н: Adams, Chad
Хэвлэсэн: (2014)
-н: Adams, Chad
Хэвлэсэн: (2014)
Python 3 object oriented programming harness the power of Python 3 objects /
-н: Phillips, Dusty
Хэвлэсэн: (2010)
-н: Phillips, Dusty
Хэвлэсэн: (2010)
Expert Python programming learn best practices to designing, coding, and distributing your Python software /
-н: Ziadé, Tarek
Хэвлэсэн: (2008)
-н: Ziadé, Tarek
Хэвлэсэн: (2008)
Python text processing with NLTK 2.0 cookbook over 80 practical recipes for using Python's NLTK suite of libraries to maximize your natural language processing capabilities /
-н: Perkins, Jacob
Хэвлэсэн: (2010)
-н: Perkins, Jacob
Хэвлэсэн: (2010)
Professional Ironpython design and develop IronPython techniques /
-н: Mueller, John, 1958-
Хэвлэсэн: (2010)
-н: Mueller, John, 1958-
Хэвлэсэн: (2010)
Matplotlib for Python developers build remarkable publication quality plots the easy way /
-н: Tosi, Sandro
Хэвлэсэн: (2009)
-н: Tosi, Sandro
Хэвлэсэн: (2009)
wxPython 2.8 application development cookbook ; quickly create robust, reliable, and reusable wxPython applications /
-н: Precord, Cody
Хэвлэсэн: (2010)
-н: Precord, Cody
Хэвлэсэн: (2010)
MySQL for Python integrate the flexibility of Python and the power of MySQL to boost the productivity of your applications /
-н: Lukaszewski, Albert
Хэвлэсэн: (2010)
-н: Lukaszewski, Albert
Хэвлэсэн: (2010)
Building probabilistic graphical models with Python : solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications /
-н: Karkera, Kiran R.
Хэвлэсэн: (2014)
-н: Karkera, Kiran R.
Хэвлэсэн: (2014)
Instant data intensive apps with pandas how-to manipulate, visualize, and analyze your data with pandas /
-н: Hauck, Trent
Хэвлэсэн: (2013)
-н: Hauck, Trent
Хэвлэсэн: (2013)
Python geospatial development build a complete and sophisticated mapping application from scratch using Python tools for GIS development /
-н: Westra, Erik
Хэвлэсэн: (2010)
-н: Westra, Erik
Хэвлэсэн: (2010)
Blender 2.49 scripting extend the power and flexibility of Blender with the help of Python, a high-level, easy-to-learn scripting language /
-н: Anders, Michel
Хэвлэсэн: (2010)
-н: Anders, Michel
Хэвлэсэн: (2010)
Ижил төстэй зүйлс
-
Professional Python /
-н: Sneeringer, Luke
Хэвлэсэн: (2016) -
Python data analysis : learn how to apply powerful data analysis techniques with popular open source Python modules /
-н: Idris, Ivan
Хэвлэсэн: (2014) -
Python create-modify-reuse /
-н: Knowlton, Jim
Хэвлэсэн: (2008) -
Python power! the comprehensive guide /
-н: Telles, Matthew A.
Хэвлэсэн: (2006) -
Python testing beginner's guide : an easy and convenient approach to testing your Python projects /
-н: Arbuckle, Daniel
Хэвлэсэн: (2010)