Gensim

* better support for Pandas series input (thx to JT Bates)
* a new corpus format: UCI bag-of-words (thx to Jonathan Esterhazy)
* a new model, non-parametric bayes: HDP (thx to Jonathan Esterhazy; based on Chong Wang's code)
* improved support for new scipy versions (thx to Skipper Seabold)
* lemmatizer support for wikipedia parsing (via the `pattern` python package)
* extended the lemmatizer for multi-core processing, to improve its performance

* fixed Similarity sharding bug (issue 65, thx to Paul Rudin)
* improved LDA code (clarity & memory footprint)
* optimized efficiency of Similarity sharding

* improved gensim landing page
* improved accuracy of SVD (Latent Semantic Analysis) (thx to Mark Tygert)
* changed interpretation of LDA topics: github issue 57
* took out similarity server code introduced in 0.8.1 (will become a separate project)
* started using `tox` for testing
* + several smaller fixes and optimizations

* transactional similarity server: see docs/simserver.html
* website moved from university hosting to radimrehurek.com
* much improved speed of lsi[corpus] transformation:
* accuracy tests of incremental svd: test/svd_error.py and https://groups.google.com/g/gensim/c/S2BbcvgGJ3A
* further improvements to memory-efficiency of LDA and LSA
* improved wiki preprocessing (thx to Luca de Alfaro)
* model.print_topics() debug fncs now support std output, in addition to logging (thx to Homer Strong)
* several smaller fixes and improvements

* changed all variable and function names to comply with PEP8 (numTopics->num_topics): BREAKS BACKWARD COMPATIBILITY!
* added support for similarity querying more documents at once (index[query_documents] in addition to index[query_document]; much faster)
* rewrote Similarity so that it is more efficient and scalable (using disk-based mmap'ed shards)
* simplified directory structure (src/gensim/ is now only gensim/)
* several small fixes and optimizations

* added `corpora.IndexedCorpus`, a base class for corpus serializers (thx to Dieter Plaetinck). This allows corpus formats that inherit from it (MmCorpus, SvmLightCorpus, BleiCorpus etc.) to retrieve individual documents by their id in O(1), e.g. `corpus[14]` returns document 14.
* merged new code from the LarKC.eu team (`corpora.textcorpus`, `models.logentropy_model`, lots of unit tests etc.)
* fixed a bug in `lda[bow]` transformation (was returning gamma distribution instead of theta). LDA model generation was not affected, only transforming new vectors.
* several small fixes and documentation updates