Added links to Python Tutorials, Scipy-lectures, Anaconda, Canopy, an…

…d fixed IPython capitalization

README.md

@@ -113,10 +113,16 @@ Start here.
  * Python [Class / Google](http://code.google.com/edu/languages/google-python-class/)
  * [Think Python](http://www.greenteapress.com/thinkpython/)
  * Introduction to Computer Science and Programming [MIT OpenCourseWare / Lectures](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-00sc-introduction-to-computer-science-and-programming-spring-2011/)
+ * [The Python 2 Tutorial](https://docs.python.org/2/tutorial/index.html)
+ * [The Python 3 Tutorial](https://docs.python.org/3/tutorial/index.html)
+ * [Python Scientific Lecture Notes: 1.2 The Python Language](http://scipy-lectures.github.io/intro/language/python_language.html)
 
 * **Python** (Libraries)
  * Basic Packages [Python, virtualenv, NumPy, SciPy, matplotlib and IPython ](http://www.lowindata.com/2013/installing-scientific-python-on-mac-os-x/)
- * [Data Science in iPython Notebooks](http://nborwankar.github.io/LearnDataScience/) (Linear Regression, Logistic Regression, Random Forests, K-Means Clustering)
+ * Anaconda [Python, conda, NumPy, SciPy, matplotlib, and IPython for Mac/Win/Linux](http://docs.continuum.io/anaconda/index.html#packages-included-in-anaconda)
+ * Canopy [Python, enpkg, NumPy, SciPy, matplotlib, and IPython for Mac/Win/Linux](https://www.enthought.com/products/canopy/package-index/)
+ * [Data Science in IPython Notebooks](http://nborwankar.github.io/LearnDataScience/) (Linear Regression, Logistic Regression, Random Forests, K-Means Clustering)
+ * [Python Scientific Lecture Notes: Python, NumPy, SciPy, SymPy, Matplotlib, scikit-learn](http://scipy-lectures.github.io/)
  * Bayesian Inference | [pymc](https://github.com/pymc-devs/pymc)
  * Labeled data structures objects, statistical functions, etc [pandas](https://github.com/pydata/pandas) (See: Python for Data Analysis)
  * Python wrapper for the Twitter API [twython](https://github.com/ryanmcgrath/twython)