- C++, Java and Python code with syntax highlighting.
- 300+ figures to explain solutions.
Want to land a software engineering job in high tech software industry? The interview process can be intimidating for new computer science grads and for people with years of experience, alike.
Primary focus of programming interview is to evaluate your ability to understand problems, come up with multiple solutions and code in-time. Not surprisingly, your preparation level for problem solving and programming is going to dictate your success in all small and large tech companies.
With infinite number of technical problems and programming questions, how do you know which problems to focus on? What answer does the interviewer expect? What other solutions are out there? And where do you find solution and code in language of your preference? What if you could learn all that from extensive experience of interviewers and interviewees and actual interviews in one beautiful app?
CodeRust does all that and then some. It guides your focus on preparing for interview instead of wondering and searching for what you might be missing. With the massive and up to date experiences from actual interviews, CodeRust provides you all that you need to prepare for your next programming interview. At a high level, it provides...
1- Well formatted code for all solutions in C++, Java and Python.
2- A comprehensive and frequently updated list of technical problems from all categories of programming interviews. 70+ problems with 350+ illustrations are already available.
3- Multiple solutions for problems and elegant illustration of each solution to prepare you for what interviewer wants to hear.
4- Robust apps, for smartphones and tablets, are fully operational in offline mode with no network needed.
Through its completeness in prep material and sharp focus on the right set of problems, CodeRust makes you standout in programming interviews and sets you up for success.
Prepare with CodeRust and make tech companies fight for you with multiple offers!!
- Natural History
- Life Span
- Feeding Tips and Tricks
- Ovulation and Egg Laying
- Explanation of Ball Python Genetics
- Examples of many of the different colors and pattern morphs
- Step by Step instructions on how to build your own low cost multilevel rack to house your ball pythons
- Step by Step instructions on how to build a low cost ball python egg incubator from a cooler
- Photo Gallery showcasing many of the different colors and pattern morphs
Works on phones and tablets.
Dependencies and supported Python versions
For full details, see the installation section of the manual. The basic parts of IPython only need the Python standard library, but much of its more advanced functionality requires extra packages.
Officially, IPython requires Python version 2.7, or 3.3 and above. IPython 1.x is the last IPython version to support Python 2.6 and 3.2.
Ansible is a radically simple configuration-management, deployment, task-execution, and multinode orchestration framework.
Read the documentation and more at http://ansible.com/
Many users run straight from the development branch (it's generally fine to do so), but you might also wish to consume a release. You can find instructions here for a variety of platforms. If you want a tarball of the last release, go to releases.ansible.com and you can also install with pip.
NumPy is the fundamental package for scientific computing with Python. It contains among other things:
a powerful N-dimensional array object
sophisticated (broadcasting) functions
tools for integrating C/C++ and Fortran code
useful linear algebra, Fourier transform, and random number capabilities
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
Numpy is licensed under the BSD license, enabling reuse with few restrictions.